DermaSensor

DEN230008 · Dermasensor, Inc. · QZS · Jan 12, 2024 · General, Plastic Surgery

Device Facts

Record IDDEN230008
Device NameDermaSensor
ApplicantDermasensor, Inc.
Product CodeQZS · General, Plastic Surgery
Decision DateJan 12, 2024
DecisionDENG
Submission TypeDirect
Regulation21 CFR 878.1830
Device ClassClass 2
AttributesAI/ML

Intended Use

The DermaSensor device is indicated for use to evaluate skin lesions suggestive of melanoma, basal cell carcinoma, and/or squamous cell carcinoma in patients aged 40 and above to assist in the decision regarding referral of the patient to a dermatologist. The DermaSensor device should be used in conjunction with the totality of clinically relevant information from the clinical assessment, including visual analysis of the lesion, by physicians who are not dermatologists. The device should be used on lesions already assessed as suspicious for skin cancer and not as a screening tool. The device should not be used as the sole diagnostic criterion nor to confirm clinical diagnosis of skin cancer.

Device Story

DermaSensor is a prescription, software-aided adjunctive diagnostic device for non-dermatology physicians. It analyzes optical or physical properties of skin lesions already identified as suspicious. The device uses a software algorithm to process input data and provide a classification output. It is used in clinical settings to assist in patient referral decisions to dermatologists. It is not a standalone diagnostic; it functions as a second-read tool to support clinical assessment. The device benefits patients by potentially improving the accuracy of referral decisions for suspicious lesions, thereby facilitating earlier detection of skin cancers.

Clinical Evidence

Evidence includes the DERM-SUCCESS pivotal study (n=1,005 participants, 1,579 lesions) and three reader studies. Pivotal study showed 95.5% sensitivity for high-risk lesions (melanoma, SCC, BCC) and 20.7% specificity. Reader studies (MRMC design) demonstrated that device-aided PCPs achieved superior sensitivity compared to unaided PCPs (e.g., 91.4% vs 82.0% in initial study; 86.3% vs 80.5% in pigmented lesion study) with statistically significant non-inferiority in AUROC. No adverse events were reported.

Technological Characteristics

Software-aided adjunctive diagnostic device. Uses software algorithm to analyze optical/physical properties of skin lesions. Includes electrical components requiring safety and electromagnetic compatibility testing. Patient-contacting components must be biocompatible. Requires cleaning/disinfection validation for reusable parts. Connectivity and hardware compatibility must be validated.

Indications for Use

Indicated for patients aged 40+ with skin lesions suggestive of melanoma, basal cell carcinoma (BCC), or squamous cell carcinoma (SCC) to assist primary care physicians in referral decisions. Not for use as a screening tool, standalone diagnostic, or to confirm clinical diagnosis. Contraindicated for rare skin cancers, previously biopsied/recurrent/metastatic lesions, scars, tattoos, sunburned skin, hairy areas, or lesions on palms, soles, mucosal surfaces, genitals, ears, or within 1 cm of the eye.

Regulatory Classification

Identification

A software-aided adjunctive diagnostic device for use by physicians on lesions suspicious for skin cancer is a prescription device that uses a software algorithm to analyze optical or other physical properties of a skin lesion and returns a classification of the skin lesion. The device is intended for use by a physician not trained in the clinical diagnosis and management of skin cancer as an adjunctive second-read device following identification of a suspicious skin lesion. It is not for use as a standalone diagnostic and is not for use to confirm a clinical diagnosis.

Related Devices

Submission Summary (Full Text)

{0}------------------------------------------------ # DE NOVO CLASSIFICATION REQUEST FOR DERMASENSOR ## REGULATORY INFORMATION FDA identifies this generic type of device as: Software-aided adjunctive diagnostic device for use by physicians on lesions suspicious for skin cancer. A software-aided adjunctive diagnostic device for use by physicians on lesions suspicious for skin cancer is a prescription device that uses a software algorithm to analyze optical or other physical properties of a skin lesion and returns a classification of the skin lesion. The device is intended for use by a physician not trained in the clinical diagnosis and management of skin cancer as an adjunctive second-read device following identification of a suspicious skin lesion. It is not for use as a standalone diagnostic and is not for use to confirm a clinical diagnosis. NEW REGULATION NUMBER: 21 CFR 878.1830 CLASSIFICATION: Class II PRODUCT CODE: QZS BACKGROUND DEVICE NAME: DermaSensor SUBMISSION NUMBER: DEN230008 DATE DE NOVO RECEIVED: February 2, 2023 SPONSOR INFORMATION: DermaSensor, Inc. 80 SW 8th Street #2000 Miami, Florida 33130 USA ## INDICATIONS FOR USE The DermaSensor device is indicated for use to evaluate skin lesions suggestive of melanoma, basal cell carcinoma, and/or squamous cell carcinoma in patients aged 40 and above to assist in the decision regarding referral of the patient to a dermatologist. The DermaSensor device should be used in conjunction with the totality of clinically relevant information from the clinical assessment, including visual analysis of the lesion, by physicians who are not dermatologists. The device should be used on lesions already assessed as suspicious for skin cancer and not as a screening tool. The device should not be used as the sole diagnostic criterion nor to confirm clinical diagnosis of skin cancer. {1}------------------------------------------------ ## LIMITATIONS The performance of the device has not been specifically evaluated in patients with increased risk for skin cancer, e.g., inherited or drug-induced photosensitivity; genetic predisposition to melanoma or basal cell carcinoma (BCC): immune compromise: or other medical conditions that increase the risk of skin cancer or its metastasis. The device is intended to assist in clinical decisions related only to the skin malignancies melanoma (including severely atypical nevi), squamous cell carcinoma (SCC), and BCC. It has been tested on each of these three common skin cancer types but has not been tested on rare skin cancer types; thus, it should not be used for lesions that are suggestive of malignancies other than melanoma, BCC and/or SCC. The device is intended for use on primary lesions only and has not been tested on lesions that are previously biopsied, recurrent, or metastatic; on scars, tattoos, sunburned skin, or within a hairy area; or which are located on palms, soles, mucosal surfaces, genitals, ears, within 1 cm of the eye, or under nails. Consistent with the lower prevalence of skin cancer in Fitzpatrick skin phototypes IV-VI. less data is available for sensitivity of the DermaSensor device for melanoma in these patients. The decision to refer patients with suspicious pigmented lesions in this group should be primarily based on clinical concern. The sale, distribution, and use of the DermaSensor are restricted to prescription use in accordance with 21 CFR 801.109. The device is not intended to be used as a stand-alone diagnostic device. The device is not intended to replace biopsy. The device is not intended to replace clinical decision making. PLEASE REFER TO THE LABELING FOR A MORE COMPLETE LIST OF CONTRAINDICATIONS, WARNINGS AND PRECAUTIONS. ## DEVICE DESCRIPTION The DermaSensor device (hereinafter referred to as 'DermaSensor', or the 'DermaSensor device'; Figure 1) utilizes optical spectroscopy and an artificial intelligence/machine learning (AI/ML) based software algorithm to analyze an intact skin lesion to which the device is non-invasively applied. {2}------------------------------------------------ ## Figure 1: DermaSensor Device Image /page/2/Picture/1 description: This image shows a black electronic device and its base. The device is sleek and modern, with a glossy finish. The base is cylindrical and has a similar glossy finish. The device appears to be designed to fit into the base, possibly for charging or storage. The device is a combination of a handheld unit and a base unit. The handheld unit contains a xenon arc lamp and a fiber-optic probe tip which together transmit broadband white light to a lesion surface. Samples of the backscattered light from the tissue are collected by an adjacent detection optical fiber, also within the probe tip, and are conveyed to a microspectrometer, vielding Elastic Scattering Spectroscopy (ESS) spectral recordings. The handheld unit is operated using a touchscreen interface with step-by-step guidance. The small fiber-optic tip is the only component that contacts the patient. The handheld unit remains in the base when not actively being applied to a lesion and its battery is recharged by the base's wireless charging mechanism. The base unit also contains calibration material that is accessible to the handheld unit. In the DermaSensor device, analysis of the optical recordings of backscattered light over the range of wavelengths is carried out using a proprietary ML-derived classifier algorithm. The spectrum of scattered intensity vs. wavelength is a pattern, which is analyzed by a proprietary classifier algorithm in the device's built-in microprocessor to assess for the potential presence of melanoma. squamous cell carcinoma, or basal cell carcinoma. An internal microprocessor and classifier algorithm analyze the recording and provide results to the user at the point of care, Results are provided as "Monitor," for a negative result, or "Investigate Further" for a positive result. For positive output ("Investigate Further") the DermaSensor additionally displays a Similarity Score of 1-10, with higher scores representing greater similarity to signals seen in malignant lesions. ## SUMMARY OF NONCLINICAL/BENCH STUDIES # BIOCOMPATIBILITY/MATERIALS DermaSensor does not contain substances that are intended to be introduced into the human body nor absorbed by or locally dispersed in the human body. The patient contacting materials are comprised of a stainless-steel tip encapsulating silica core fiber optics and synthetic polymer. The device tip is a surface-contacting device intended to contact intact skin for less than 3 minutes, and the user remains gloved during operation; therefore, meeting the requirements of <24 hours for only limited (e.g., transient) use. The risk assessment of the materials, manufacturing process, nature of contact and duration determined that only cytotoxicity, sensitization, and irritation testing were applicable to be performed. These tests were conducted according to the following applicable standards and guidance: {3}------------------------------------------------ - · ISO 10993-1 Fifth edition 2018-08 Biological evaluation of medical devices -- Part 1: Evaluation and testing within a risk management process. - · ISO 10993-5: 2009/revised 2014, Biological evaluation of medical devices Part 5: Tests for in vitro cytotoxicity. - · ISO 10993-10: 2010/revised 2014, Biological evaluation of medical devices Part 10: Tests for irritation and skin sensitization. - ISO 10993-12: 2012, Biological evaluation of medical devices Part 12: Sample . preparation and reference materials. - · FDA guidance: Use of International Standard ISO 10993-1: 2016, "Biological evaluation of medical devices - Part I: Evaluation and testing within a risk management process" - Guidance for Industry and Food and Drug Administration Staff The results are provided in Table 1. The device passed the tests and the results demonstrate mitigation of the risk of adverse tissue reactions and infections for the patient. | Endpoint | Test Method | Findings | |---------------|----------------------------------------------------------------------|------------------------------------------------------------| | Cytotoxicity | MEM Elution Assay Method<br>(ISO 10993-5:2009) | No evidence of cell lysis or toxicity | | Sensitization | Guinea Pig Maximization<br>Sensitization Test<br>(ISO 10993-10:2010) | Test article met the requirements at<br>24, 48 and 72 hrs. | | Irritation | Intracutaneous Irritation Test<br>(ISO 10993-10:2010) | No erythema or edema observed at<br>24, 48 or 72 hrs. | Table 1: Summary of biocompatibility test methods and results # CLEANING AND DISINFECTION Cleaning and disinfection validations were conducted to validate the cleaning and disinfecting instructions for the reusable device components of the DermaSensor device. Cleaning and disinfection vas performed in accordance with FDA guidance Reprocessing Medical Devices in Health Care Settings: Validation Methods and Labeling - Guidance for Industry and Food and Drug Administration Staff (March 17, 2015), AAMI TIR 12:2010, and AAMI TIR30:2011 (R2016). The cleaning procedure per the instructions for use was performed and the bio load reduction and cytotoxicity (MEM Elution) were evaluated. All testing and results were considered to be adequate and met the above standards. {4}------------------------------------------------ # SHELF LIFE/STERILITY The DermaSensor device is provided non-sterile and is not intended for sterilization by the end user. The use life of the DermaSensor device is a minimum of three years. Product uselife testing was performed for the device and the results were considered to be adequate. ## ELECTROMAGNETIC COMPATIBILITY (EMC) & ELECTRICAL SAFETY The following Electrical Safety and Electromagnetic Compatibility testing has been performed: - ETSI EN 301 489 -17 V3.2.2 (2019-12) and V3.2.3 (2019-11): ElectroMagnetic . Compatibility (EMC) standard for radio equipment and services; Part 17: Specific conditions for Broadband Data Transmission Systems; Harmonized Standard for ElectroMagnetic Compatibility - . IEC 60601-1-2:2014 Medical Electrical Equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances - Requirements and tests - . IEC 60601-1:2005 + A1:2012 Medical electrical equipment - Part 1: General requirements for basic safety and essential performance - . IEC 62133-2:2017 Secondary cells and batteries containing alkaline or other non-acid electrolytes - requirements for portable sealed secondary cells, and for batteries made from them, for use in portable applications-Part 2: Lithium systems - . IEC 62471:2006 Photobiological safety of lamps and lamp systems. According to the standard, the pulsed light lamp has been considered as a non-general lighting lamp (non-GLS) - IEC 60601-1-6: 2010 + A1:2013 Medical electrical equipment Part 1-6: General . requirements for basic safety and essential performance - Collateral standard: Usability - . IEC 60601-2-57:2011 Medical electrical equipment - Part 2-57: Particular requirements for the basic safety and essential performance of non-laser light source equipment intended for therapeutic, diagnostic, monitoring and cosmetic/aesthetic use DermaSensor passed all relevant portions of the testing, and the testing and results were considered to be adequate. {5}------------------------------------------------ ## SOFTWARE/CYBERSECURITY All components of the device are controlled/monitored by software, which is responsible for the functionality, user interface, safety checks and performance accuracy. The software was developed and tested according to the following FDA guidance documents and standards: - . FDA guidance. Guidance for the Content of Premarket Submission for Software Contained in Medical Devices (May 11, 2005) - FDA guidance, Content of Premarket Submissions for Management of Cybersecurity . in Medical Devices (October 2, 2014) - . FDA guidance, Cybersecurity in Medical Devices: Ouality System Considerations and Content of Premarket Submissions (September 2023) - IEC 62304: 2006 Medical device software Software life-cycle processes . - · ISO 14971:2019 Medical devices Application of risk management to medical devices Software documentation and testing, including cybersecurity information , demonstrates that the software will operate in a manner described in the specifications. The hazard analysis characterized software and cybersecurity risks, including device malfunction, measurement-related errors, sensor, cable and other hardware failures, and unauthorized access by malicious end users. The submission describes verification and validation testing to address the potential hazards with satisfactory results. The cybersecurity documentation included a cybersecurity hazard analysis and mitigation information, an upgrade and maintenance plan. other information for safeguarding the device during manufacturing and upon commercial distribution, and warning and precaution information in the product labeling. Overall, the software documentation contains sufficient detail to provide reasonable assurance that the software will operate in a manner described in the specifications. Software security information demonstrated the device is protected from cyber vulnerability threats. All testing and results were considered to be adequate and met the above standards. # Algorithm Development Initial work on the ESS technology identified the optimal wavelength range and spectral features relevant to skin cancer detection. Clinical development began with a blinded, multicenter clinical study through an initial ML retrospective algorithm, for which the algorithm was developed and tested on the same data set to evaluate the ability of ESS to differentiate malignant from benign melanocytic lesions. A subsequent blinded, multicenter clinical study investigated the performance of an algorithm using ESS and ML for the most common types of skin cancers (Rodriguez-Diaz et al. Photochem, Photobiol. {6}------------------------------------------------ 2019:95(6):1441-1445). The training dataset contained 950 lesions contributing ~4,200 spectra while the testing dataset included 361 lesions, for a total of 1,311 skin lesions. The training and testing datasets were independent and were chosen randomly. This study dataset was later used entirely for algorithm training. The algorithm was trained in the spectral range of 360 to 810 nm, selected due to the low signal-to-noise ratio in this range. Forty-seven wavelengths were chosen within this range to reduce dimensionality. Tuning sensitivity estimates were 96.5% (221/229). Specificity for physician-biopsied lesions was 20.6% (28/136). The estimated specificity for physician-selected un-biopsied lesions was 33.0% (128/388). When pooling lesions across the tuning datasets, there was high sensitivity (i.e., at or above 90%) for each of the three individual cancers. The high sensitivity observed in tuning provided the basis for further clinical studies. The associated specificity of 20.6% was clinically accepted because it was paired with the high sensitivity and was supported by the greater benefit of identifying skin cancer than the risk of excess referrals. The patient demographics for the lesions used to train and tune the dataset are summarized in Table 2. The training and tuning data included a majority of older patients (age 60-79), Fitzpatrick phototype I-III, and individuals who self-identified as White. This pattern reflects the greater incidence of skin cancer in these populations, particularly considering that lesions on the palms, soles, and under the nails were specifically excluded from the study. | | Training Dataset | Tuning Dataset | | | |------------------------------|------------------|----------------|-------------|-------------| | Age | Sample Size | Percent (%) | Sample Size | Percent (%) | | 20-39 | 81 | 7.6% | 62 | 14.2% | | 40-59 | 87 | 8.2% | 87 | 19.9% | | 60-79 | 604 | 56.6% | 216 | 49.3% | | 80+ | 45 | 4.2% | 73 | 16.7% | | Unknown | 250 | 23.4% | 0 | 0.0% | | Fitzpatrick Phototype | Sample Size | Percent (%) | Sample Size | Percent (%) | | I | 67 | 6.3% | 64 | 14.6% | | II | 332 | 31.1% | 160 | 36.5% | | III | 244 | 22.9% | 91 | 20.8% | | IV | 46 | 4.3% | 50 | 11.4% | | V | 8 | 0.7% | 54 | 12.3% | | VI | 3 | 0.3% | 16 | 3.7% | | Unknown | 367 | 34.4% | 3 | 0.7% | | Ethnicity/Race | Sample Size | Percent (%) | Sample Size | Percent (%) | | White | 784 | 73.5% | 402 | 91.8% | | Black or African<br>American | 5 | 0.5% | 15 | 3.4% | | Asian | 9 | 0.8% | 5 | 1.1% | Table 2: Summary of patient demographics in algorithm training and tuning datasets {7}------------------------------------------------ | Multiracial | 2 | 0.2% | 1 | 0.2% | |-----------------------------|-------------|-------------|-------------|-------------| | Native Hawaiian or<br>Other | 17 | 1.6% | 15 | 3.4% | | Unknown | 250 | 23.4% | 0 | 0.0% | | Gender | Sample Size | Percent (%) | Sample Size | Percent (%) | | Male | 424 | 39.7% | 169 | 38.6% | | Female | 265 | 24.8% | 195 | 44.5% | | Unknown | 378 | 35.4% | 74 | 16.9% | The anatomical locations of the lesions used to train and tune the dataset are summarized in Table 3. Lesions on the head and neck constituted the majority of lesions in the training and tuning data set. This pattern is consistent with the relatively higher rate of skin cancer on the head and neck, particularly of SCC and BCC, due to greater sun exposure. Table 3: Summary of anatomical location of lesions in algorithm training and tuning datasets | | | Training Dataset | | Tuning Dataset | | |------------------|--|------------------|-------------|----------------|-------------| | Body site | | Sample Size | Percent (%) | Sample Size | Percent (%) | | Sun-exposed | | | | | | | Head/neck | | 136 | 5.9% | 192 | 15.6% | | Chest/Upper back | | 75 | 3.3% | 140 | 11.4% | | Forearms/hands | | 80 | 3.5% | 120 | 9.7% | | Lower legs | | 33 | 1.4% | 44 | 3.6% | | Other | | 25 | 1.1% | 41 | 3.3% | | Unexposed | | | | | | | Buttocks/hips | | 2 | 0.1% | 5 | 0.4% | | Upper legs | | 25 | 1.1% | 40 | 3.2% | | Lower trunk | | 16 | 0.7% | 39 | 3.2% | | Other | | 1 | 0.0% | 2 | 0.2% | | Unknown | | 1900 | 82.9% | 610 | 49.5% | The diagnoses for the lesions used to train and tune the dataset are summarized in Table 4. The greatest number of lesions were BCC, followed by SCC, and then melanoma (including highly atypical nevi). This pattern is consistent with the relatively higher rate of BCC than SCC than atypical pigmented lesions in the US population. Additional lesions were included as mimics of melanoma, SCC, and BCC to support sensitivity and specificity assessments. ## Table 4: Summary of lesion diagnoses in algorithm training and tuning datasets | | Training Dataset | Tuning Dataset | |--|------------------|----------------| |--|------------------|----------------| {8}------------------------------------------------ | Diagnosis Distribution | Sample Size | Percent (%) | Sample Size | Percent (%) | |------------------------------------------|-------------|-------------|-------------|-------------| | Melanoma and severely<br>dysplastic nevi | 187 | 8.2% | 38 | 3.1% | | SCC | 207 | 9.0% | 83 | 6.7% | | BCC | 294 | 12.8% | 107 | 8.7% | | Mixed Malignant | 2 | 0.1% | 1 | 0.1% | | Melanoma mimic | | | | | | SK (brown) | 158 | 6.9% | 209 | 17.0% | | Benign Nevi | 631 | 27.5% | 367 | 29.8% | | Spitz Nevi | 0 | 0.0% | 0 | 0.0% | | Lentigo | 98 | 4.3% | 41 | 3.3% | | Angioma | 15 | 0.7% | 12 | 1.0% | | Dermatofibroma | 4 | 0.2% | 9 | 0.7% | | Tattoo/foreign objects | 0 | 0.0% | 0 | 0.0% | | SCC Mimics | | | | | | AK | 172 | 7.5% | 145 | 11.8% | | Wart | 14 | 0.6% | 4 | 0.3% | | Dermatitis | 0 | 0.0% | 0 | 0.0% | | SK (nonbrown) | 75 | 3.3% | 104 | 8.4% | | BCC Mimics | | | | | | Acne/rosacea | 0 | 0.0% | 0 | 0.0% | | Sebaceous hyperplasia/cyst | 3 | 0.1% | 4 | 0.3% | | Other benign tumors | 0 | 0.0% | 0 | 0.0% | | Insect bite | 0 | 0.0% | 0 | 0.0% | | Xanthoma/ xanthelasma | 0 | 0.0% | 0 | 0.0% | | Other malignant lesions | 6 | 0.3% | 1 | 0.1% | | Other benign lesions | 427 | 18.6% | 109 | 8.8% | # NON-CLINICAL PERFORMANCE TESTING - BENCH Bench testing was conducted to demonstrate that the DermaSensor device performs as expected under the anticipated conditions of use. Table 5 describes the bench testing conducted to demonstrate the device performance characteristics. | Test | Description/Acceptance Criteria | | |------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--| | Dimensional | The tolerance stack for 1) optical design components and the<br>2) wireless charging circuit is acceptable. | | | Battery Performance | Testing was conducted to IEC 62133, IEC 62471, ETSI EN<br>301 489-17, IEC 60601-1-2, IEC 60601-1, IEC 60601-2-57,<br>and 60601-1-6 and passed. All batteries tested surpassed the | | | | use life target and the review of data showed the batteries were<br>not adversely impacted by the stress of the testing. | | | Lamp Reliability | All the test articles registered sample counts and demonstrated<br>stability within the range specified in the acceptance criteria,<br>indicating that the lamp life is stable over the simulated use life<br>days. | | | Optical and Lamp<br>Performance | Lamp engine testing was conducted to IEC 62471 and found to<br>be exempt. Testing was conducted to ETSI EN 301 489-17,<br>IEC 60601-1-2, IEC 60601-1, IEC 60601-2-57, and 60601-1-6<br>and passed. The optical configuration provided the maximum<br>captured light from the lamp back to the microspectrometer. | | | WiFi connectivity | Testing was conducted to ETSI EN 301 489-17, IEC 60601-1-<br>2, IEC 60601-1, IEC 60601-2-57, and 60601-1-6 and passed.<br>IP address assigned demonstrating that the device connection<br>is successful. | | | Calibrator Configuration | The peak signal of a calibration recording achieved the<br>necessary dynamic range and demonstrated that the calibration<br>is successful. | | | Wireless Charging | Testing was conducted to ETSI EN 301 489-17, IEC 60601-1-<br>2, IEC 60601-1, IEC 60601-2-57, and 60601-1-6 and passed.<br>The Handheld Unit charged while placed in the Base at 120v<br>and 240v. The Handheld Unit remained functional while<br>placed in and removed from the Base. | | | Label Validation | All text content is legible. | | | Estimation of Useful Life | The device functioned beyond useful life and simulated use<br>days. | | | PCBA functional<br>verification | Testing was conducted to ETSI EN 301 489-17, IEC 60601-1-<br>2, IEC 60601-1, IEC 60601-2-57, and 60601-1-6 and passed.<br>Testing of the device operations performed as intended<br>indicating the PCBAs function as intended. | | | System Packaging and<br>Distribution | Testing was conducted to ASTM D4169 and passed. | | | Manual Cleaning,<br>Disinfection, Sensitization,<br>Cytotoxicity, Irritation | Testing was conducted to AAMI TIR12, AAMI TIR30, EN<br>ISO 10993-1, EN ISO 10993-5, EN ISO 10993-10, EN ISO<br>10993-12 and results passed. | | {9}------------------------------------------------ # HUMAN FACTORS/USABILITY Human factors testing was successfully completed with formative and summative validation studies, summarized below (Table 6). # Table 6: Summary of Human Factors Testing {10}------------------------------------------------ | Study | Summary | |-------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Human Factors<br>Validation Testing | After formative testing, summative human factors validation testing<br>evaluated user tasks through simulated-use to assess the use-related<br>hazards of the device. Key attributes of the intended users, uses, and use<br>environments were considered and sufficiently simulated to demonstrate<br>safe and effective operation of the device under actual conditions of use.<br><br>Two (2) user groups participated in the testing: 15 primary care<br>physicians (PCPs) representing a range of clinical experiences working<br>in primary care, and 15 mid-level practitioners that included Physician<br>Assistants (PAs), Nurse Practitioners (NPs), and Registered Nurses<br>(RNs). Participant performance during the simulated use scenarios,<br>responses to knowledge/comprehension questions, and any participant<br>comments on performed user tasks and the device-user interfaces were<br>reviewed.<br><br>All 30 participants were able to identify the indications for use and all<br>contraindications for use, and that this device should not be used for the<br>sole diagnosis of skin cancer. Use difficulties, close calls, and use errors<br>were analyzed to determine their likely root cause(s) and were<br>adequately mitigated. The results demonstrated that participating PCPs<br>were able to independently and appropriately take recordings from mock<br>lesions with acceptable levels of residual risk. | # REPEATABILITY/REPRODUCIBILITY A repeatability study was conducted across two study sites, each with three PCP investigators. At least two investigators completed the full recording process four times for each enrolled lesion, twice with one device (Device A) and twice with a second device (Device B). Analyses included Intraclass Correlation (ICC) and Fleiss's Kappa (reproducibility with multiple raters); Positive Percent Agreement (PPA) between two runs and Negative Percent Agreement (NPA) for repeatability; and Average Positive Agreement (APA) between three physicians with Device A and Average Negative Agreement (ANA) between three physicians with Device A for reproducibility. Secondary endpoints included a repeat of the primary analysis, separately for all malignant and all high-risk lesions using biopsy results as the gold standard. The malignant lesion analysis included all malignant lesions but did not include highly atypical melanocytic nevi since this pathology was not considered malignant and since there is a high rate of discordance for it among dermatopathologists. The device agreement between device scans (i.e., repeatability) for all 64 lesions was 84.2% (95% CI 78.2-89.1%) and between physicians (i.e., reproducibility) was 87.8% (95% CI: 82.2-92.1%). For lesions that were high risk, the agreement was 97.1% (95% CI: 89.9-99.6%) for repeatability and 97.1% (95% CI: 89.9- 99.6%) for reproducibility. The PPA and NPA for repeatability were 94.8% (95% CI: 92.1-97.1%) and 46.0% (95% CI: {11}------------------------------------------------ 32.1-60.0%) respectively. The APA and ANA for reproducibility were 91.6% (95% CI: 86.8-95.7%) and 44.8% (95% CI: 20.8-63.3%) respectively. The device agreement of the spectral score (1-10) between device scans (i.e., repeatability) was assessed. The repeatability percentage of scores 1-8 is below 37.5%, score 9 is 50.0%. and score 10 is 62.5%. The device agreement of the underlying continuous model output between device scans (repeatability) was also assessed. Overall, the device shows low repeatability and reproducibility of negative binary decisions (NPA and ANA), low repeatability of the reported spectral similarity score, and high variability of the underlying continuous model output. The device shows repeatability and reproducibility of positive binary decisions (PPA and APA) greater than 90%. The repeatability and reproducibility information was considered acceptable within the context of the clinical performance testing and is included in the labeling. ## CLINICAL PERFORMANCE TESTING Eight clinical studies were conducted to assess performance of the DermaSensor device and algorithm during development. The final version of the device and algorithm were tested with lesions from the intended lesion types in four of these studies. The results of those four studies provide the basis for determination of safety and effectiveness of the device when used as intended to evaluate skin lesions that a primary care physician has identified as suggestive of melanoma, squamous cell carcinoma (SCC), and/or basal cell carcinoma (BCC). ## Standalone Algorithm Performance Evaluation The standalone performance of the device was assessed in the DERM-SUCCESS pivotal clinical study. The study was designed to identify the sensitivity and specificity of the device output compared to ground truth diagnosis (biopsy). The study also assessed the sensitivity and specificity of primary care physicians (PCPs) on the same lesion set. The study was an international, multicenter, prospective, blinded clinical study conducted at 22 study sites including 18 locations in the United States, with a range of sun exposure patterns (Arizona, California, Florida, Kansas, Minnesota, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia), and four in Australia. The investigators were 30 primary care physicians, and the study enrolled a total of 1,005 participants with 1,579 lesions. The study enrolled participants with skin lesions suggestive of melanoma. BCC, and/or SCC. Each enrolled lesion was scanned with the device. Investigators and subjects were blinded to the device results, and clinical management was provided per standard of care. All enrolled lesions were biopsied. DermaSensor device output (binary classification of a negative result, "Monitor." or a positive result, "Investigate Further") was compared to pathology findings that were validated by two to five central study dermatopathologists depending on the histological severity and discordance for the diagnoses. # Patient inclusion/exclusion The study enrolled men or women of any ethnic group aged 22 and older with a primary skin lesion(s) suggestive of melanoma, BCC, or SCC. Participants were recruited in {12}------------------------------------------------ primary care offices where physicians performed their own clinical assessments, used the DermaSensor device, and performed biopsies of the lesions. Patients were excluded from enrollment in the study if they met any of the following exclusion criteria: - Lesion < 2.5mm in diameter or > 15mm in diameter - - -Lesion surface not accessible (e.g. inside ears, under nails, completely covered by a crust or scale) - Lesion on area of crust, psoriasis, eczema, or similar skin condition 」 - Lesion has erosion and/or ulceration with no area >2.5mm intact - - -Lesion has foreign matter (e.g. tattoo, splinter, dermoscopy oils, or other medicated or non-medicated topical solutions) - -Lesion in which the device tip cannot be placed entirely within the border of the targeted area - Lesion located on acral skin (e.g. sole or palms) - - Lesion located within 1 cm of the eye - - -Lesion on or adjacent to scars, areas previously biopsied, or areas subjected to any past surgical intervention - . Lesion located on mucosal surfaces (e.g. genitals, lips) - -Lesion located on acute sunburn - Six (6) or more lesions suggestive of melanoma, basal cell carcinoma, and/or ! squamous cell carcinoma requiring biopsy to assess risk of malignancy See Table 7 and Figure 2, for additional summary information regarding the number of participants and inclusion/exclusion of participants in this study. ## Table 7: Participant accountability | | Participants<br>n (%) | Lesions<br>n (%) | |-------------------------------|-----------------------|------------------| | Enrolled | 1,021 | 1,598 | | ITT Safety Population | 1,013 (99.2%) | 1,591 (99.6%) | | Excluded from ITT Population | 8 (0.8%) | 7 (0.4%) | | mITT Effectiveness Population | 1,005 (98.4%) | 1,579 (98.8%) | | Excluded from mITT Population | 8 (0.8%) | 12 (0.8%) | {13}------------------------------------------------ Image /page/13/Figure/0 description: This image shows a flow diagram of a clinical trial. The trial started with 22 sites, 18 in the US and 4 in Australia. 1,028 subjects with 1,598 lesions were recruited, and then 1,021 subjects with 1,598 lesions were enrolled. The diagram also shows the number of subjects and lesions that were excluded from the trial at each stage, as well as the reasons for exclusion. # Figure 2: Inclusion/Exclusion diagram for all recruited participants and lesions Table 8 summarizes the demographics of participants in the study. The participants in the DERM-SUCCESS pivotal study included a majority of older patients (age 60-79), Fitzpatrick phototype I-III, and individuals who self-identified as White. This pattern reflects the greater incidence of skin cancer in these populations, particularly considering that lesions on the palms, soles, and under the nails were specifically excluded from the study. Table 8: Participant characteristics in DERM-SUCCESS pivotal study (mITT, n=1,005) | Characteristics | n (%) | |-----------------------------------------------------|------------------| | Sex | | | Male | 487 (48.5%) | | Female | 518 (51.5%) | | Age | | | Mean (STD) | 58.5 (15.1) | | Median (Q1-Q3) | 60.0 (49.0-69.0) | | Min-Max | 22-95 | | Ethnicity | | | Hispanic or Latino | 79 (7.9%) | | Not Hispanic or Latino | 913 (90.8%) | | Unknown | 13 (1.3%) | | Race | | | White | 976 (97.1%) | | Native Hawaiian or Other Pacific Islander | 3 (0.3%) | | Asian | 9 (0.9%) | | Black or African American | 7 (0.7%) | | Other/Multiracial | 10 (1.0%) | | Fitzpatrick Phototype | | | I - Always burns, never tans | 99 (9.9%) | | II - Always burns, tans minimally | 278 (27.7%) | | III - Sometimes mild burn, tans uniformly | 352 (35.0%) | | IV - Burns minimally, always tans well | 148 (14.7%) | | V - Very rarely burns, tans very easily | 110 (10.9%) | | VI - Never burns | 18 (1.8%) | | Risk Factors | | | Ultraviolet light exposure (natural or tanning bed) | 455 (45.3%) | | Weakened immune system | 32 (3.2%) | | Family history of skin cancer | 332 (33.0%) | | Xeroderma Pigmentosum | 1 (0.1%) | | Fair skin; freckling; light hair | 362 (36.0%) | | Many moles and/or dysplastic nevi | 331 (32.9%) | | Personal history of skin cancer | 233 (23.2%) | | New or changing lesion(s) | 725 (72.1%) | | None of the above | 29 (2.9%) | | Number of Eligible Lesions per subject Enrolled | | | 1 | 657 (65.4%) | | 2 | 207 (20.6%) | | 3 | 78 (7.8%) | | 4 | 41 (4.1%) | | 5 | 22 (2.2%) | {14}------------------------------------------------ {15}------------------------------------------------ Table 9 summarizes the lesion characteristics of patients in the study. In the DERM-SUCCESS pivotal study, lesions on the trunk constituted the majority of lesions, followed by lesions on the arms and head. | Anatomic Location | n | % Anatomic Location | % Total | |-------------------|-----|---------------------|---------| | Head | 247 | | 15.6% | | Scalp | 50 | 20.2% | 3.2% | | Forehead | 59 | 23.9% | 3.7% | | Cheek or nose | 85 | 34.4% | 5.4% | | Chin | 8 | 3.2% | 0.5% | | Other | 45 | 18.2% | 2.8% | | Arm | 299 | | 18.9% | | Upper Arm | 108 | 36.1% | 6.8% | | Elbow | 11 | 3.7% | 0.7% | | Forearm | 121 | 40.5% | 7.7% | | Hand | 26 | 8.7% | 1.6% | | Other | 33 | 11.0% | 2.1% | | Leg | 207 | | 13.1% | | Upper Leg | 66 | 31.9% | 4.2% | | Lower Leg | 116 | 56.0% | 7.3% | | Knee | 10 | 4.8% | 0.6% | | Foot | 7 | 3.4% | 0.4% | | Other | 8 | 3.9% | 0.5% | | Trunk | 826 | | 52.3% | | Neck | 63 | 7.6% | 4.0% | | Chest | 128 | 15.5% | 8.1% | | Upper Back | 361 | 43.7% | 22.9% | | Lower Back | 149 | 18.0% | 9.4% | | Abdomen | 64 | 7.7% | 4.1% | | Pubic, Inguinal | 5 | 0.6% | 0.3% | | Buttocks | 9 | 1.1% | 0.6% | | Other | 47 | 5.7% | 3.0% | Table 9: Lesion characteristics in DERM-SUCCESS pivotal study (mITT, n=1,579) Table 10 summarizes the diagnoses of the lesions included in the study according to dermatopathology. The final pathology results were "high risk lesions" (high risk melanocytic lesions (melanoma and highly atypical nevi), SCC, and BCC). Consistent with the known occurrence rate, BCC was the most common lesion, with a slightly smaller number of SCC, and approximately one half the number of high risk melanocytic lesions. {16}------------------------------------------------ | Parent Pathology or Diagnosis | n (%) | |-------------------------------------|---------------------| | High Risk Lesions | <b>224 (14.2%)</b> | | Melanoma and severely atypical nevi | 48 (3.0%) | | Squamous Cell Carcinoma (SCC) | 86 (5.4%) | | Basal Cell Carcinoma (BCC) | 90 (5.7%) | | Low Risk Lesions | <b>1355 (85.8%)</b> | | Benign melanocytic nevus | 500 (36.9%) | | Seborrheic keratosis | 490 (36.2%) | | Actinic Keratosis (AK) | 71 (5.2%) | | Lentigo | 65 (4.8%) | | Other | 53 (3.9%) | | Verruca / Wart | 48 (3.5%) | | Dermatofibroma | 42 (3.1%) | | Lichenoid keratosis | 29 (2.1%) | | Angioma or vascular lesion | 20 (1.5%) | | Categories with <20 lesions | 37 (2.3%) | | Sebaceous hyperplasia | 9 (0.7%) | | Acrochordon | 8 (0.6%) | | Scar | 6 (0.4%) | | Epidermal cyst | 5 (0.4%) | | Folliculitis | 3 (0.2%) | | Angiofibroma | 2 (0.1%) | | Rosacea | 1 (0.1%) | | Excoriation | 1 (0.1%) | | Solar elastosis | 1 (0.1%) | | Angiokeratoma | 1 (0.1%) | Table 10: Final dermatopathology diagnoses in DERM-SUCCESS pivotal study (mITT, n=1,579) # Study endpoints The co-primary endpoints of the DERM-SUCCESS study were: DermaSensor sensitivity compared to that of the study physicians (primary care physicians); and a sensitivity + specificity > 1. The endpoint of sensitivity compared to the primary care physicians was selected to determine if the device provides superior sensitivity compared to primary care physicians. The second co-primary endpoint was selected to confirm that the performance was non-random. The secondary endpoint of the DERM-SUCCESS study was DermaSensor sensitivity compared to a performance goal of 90%. This endpoint was selected to compare the sensitivity of the DermaSensor device to that of the current gold standard for skin lesion evaluation, i.e., dermatologist evaluation, which literature review indicated is approximately 90%. # Results of DERM-SUCCESS pivotal study The DERM-SUCCESS pivotal study demonstrated an overall sensitivity of 95.5% when assessed over all ages and Fitzpatrick skin phototypes for identification of melanoma. SCC, {17}------------------------------------------------ or BCC. The first co-primary endpoint was met, as the device sensitivity for high-risk lesions, defined as the three target malignancies of melanoma (including highly atypical nevi), SCC, and BCC, across all ages and Fitzpatrick skin phototypes was 95.5%, which was superior to the sensitivity of PCPs for the same population (83.0%, p-value <0.0001) as shown in Table 11. Specificity for all high-risk lesions was 20.7% (18.5%-23.1%). lower than the PCP specificity of 54.2% (50.7-57.6%). The second co-primary endpoint was met with sensitivity (95.5%) + specificity (20.7%) > 1. The secondary endpoint was met, with overall sensitivity >90% (<0.001). The specificity of 20.7% was deemed clinically acceptable when paired with the high overall sensitivity (95.5%) due to the significantly greater risk of a false negative, particularly for melanoma, than a false positive. The low specificity is also mitigated by the intended use of the device as one component/adjunctive information in the decision of the provider. | Sensitivity (%) and 95% Confidence Interval1 | | | | | |----------------------------------------------|-----------|------------------------|------------------------|----------| | | # Lesions | Device | PCP | P-value2 | | All malignant lesions -<br>sensitivity | 224 | 95.5%<br>(91.7%-97.6%) | 83.0%<br>(77.7%-87.3%) | <0.001 | | Benign lesions - specificity | 1355 | 20.7%<br>(18.5%-23.1%) | 54.2%<br>(50.7-57.6%) | N/A | Table 11: Summary of DERM-SUCCESS study sensitivity and specificity results 1 95% Confidence Interval calculated accounting for within-subject correlations using Wilson method 2 P-value obtained using the method of moments for clustered paired data The performance of the DermaSensor device across age groupings is presented in Table 12. Table 12: Device performance across age groupings | Age<br>Group | Device<br>Sensitivity | Device<br>Specificity | PCP Unaided<br>Sensitivity | PCP Aided<br>Sensitivity | Difference | |--------------|-----------------------|-----------------------|----------------------------|--------------------------|------------| | 40-49* | 100% (9/9) | 22.9% (39/170) | 83.1%* | 91.8%* | 8.7%* | | 50-59 | 95.6% (43/45) | 24.1% (72/299) | 77.7-83.6% | 90.3-94.4% | 6.8-16.8% | | 60-69 | 93.9% (62/66) | 22.0% (89/405) | 72.9-84.9% | 82.0-91.0% | 6.2-9.2% | | 70-79 | 98.3% (59/60) | 12.6% (27/214) | 84.6-90.7% | 87.4-98.6% | 2.8-7.9% | | 80-89 | 97.3% (36/37) | 10.8% (7/67) | 79.6-93.9% | 98.9-99.1% | 5.0-19.4% | * Only DERM-SUCCESS Pigmented Reader Study results are available. The area under the receiver operating characteristic (ROC) curve (AUROC) for the device was 0.7896. This was greater than the AUROC for PCPs, which was 0.7404 for all lesions. Device AUROC was also greater than the AUROC for the PCPs when limited to study lesions for which they reported low confidence in their clinical diagnosis, which was 0.5555. When using the ROC curves to interpolate the PCPs' specificity at the same level of sensitivity as the device (i.e., 95.5%), the corresponding specificity of the device is 20.7% while the PCP specificity is 9.0%. {18}------------------------------------------------ # Spectral similarity score evaluation For positive output ("Investigate Further") the DermaSensor displays a Similarity Score of 1-10, with higher scores representing greater similarity to signals seen in malignant lesions. Standalone performance testing demonstrated that higher scores were associated with a higher positive predictive value (PPV), as calculated relative to the frequency of the score among all spectral scores displayed (total 1,288 scores; Table 13). The PPVs for each score, when assessed alone, are impacted by prevalence (frequency) of each score within the lesions of the pivotal study, which varied from 4.8% to 16.5%. Prevalence of skin cancer in lesions assessed for skin cancer may be different in real world use, and this would change the PPV. Therefore, this assessment was intended to show a correlation between higher scores and greater likelihood of malignancy, and not to predict PPV of the score in clinical use outside of the DERM-SUCCESS pivotal study. | Spectral Score | Positive Total | PPV (Frequency) | Lower and upper bounds | |----------------|----------------|-----------------|------------------------| | 1 | 13 / 202 | 6.4% (15.7%) | 3.7 - 10.9% | | 2 | 7 / 213 | 3.3% (16.5%) | 1.5 - 7% | | 3 | 15 / 177 | 8.5% (13.7%) | 4.9 - 14.2% | | 4 | 14 / 132 | 10.6% (10.2%) | 6.2 - 17.5% | | 5 | 12 / 103 | 11.7% (8%) | 6.6 - 19.7% | | 6 | 25 / 104 | 24% (8.1%) | 16.7 - 33.2% | | 7 | 33 / 117 | 28.2% (9.1%) | 20.5 - 37.5% | | 8 | 26 / 101 | 25.7% (7.8%) | 18.1 - 35.2% | | 9 | 31 / 77 | 40.3% (6%) | 30.3 - 51.1% | | 10 | 38 / 62 | 61.3% (4.8%) | 48.3 - 72.9% | Table 13: Summary of positive values by spectral similarity score output # Standalone Algorithm Performance Testing Conclusions The DERM-SUCCESS pivotal study demonstrated an overall sensitivity for malignancy of 95.5%. The first co-primary endpoint was met, as the device sensitivity for all malignancies was superior to the sensitivity of PCPs, 83.0%, for the same population. Specificity for benign lesions was 20.7%, meeting the second co-primary endpoint of sensitivity + specificity > 1. The secondary endpoint was met, with overall sensitivity >90%. A correlation was observed between the magnitude of the similarity score and positive predictive value. thereby meeting the second co-primary endpoint. # Safety No adverse events were observed during the DERM-SUCCESS pivotal study. False negative and false positive device outcomes were not considered adverse events as part of the study due to the non-interventional design. However, false negatives would be considered adverse events during real world use of the device. # Adjunctive Use Performance Testing Three studies were completed to assess performance of the device as an aid to PCPs. The first study was conducted with all lesions suggestive of skin cancer, per the indications for {19}------------------------------------------------ use, to demonstrate superior performance of the device-aided PCP compared to unaided PCPs. However, melanoma poses the highest risk of the three lesion types assessed due to a higher metastatic potential. higher morbidity, and higher mortality compared with SCC or BCC. Therefore, two additional reader studies were performed to ensure the device does not negatively impact the clinical decision of readers specifically in case sets enriched for pigmented lesions. Both studies were performed in a sequential read design to mimic the intended use of the device as a second read device. # DERM-SUCCESS initial reader study: "A Multi-Reader, Multi-Case (MRMC) Companion Study to the DERM-SUCCESS Clinical Study" The DERM-SUCCESS initial reader study was intended to assess superiority of deviceaided PCPs over unaided PCPs across all skin cancers (melanoma, SCC, and BCC). The study included 108 readers trained in internal medicine or family practice who evaluated 25 malignant (20% melanoma, 40% SCC, 40% BCC) and 25 benign lesions. Readers were shown images of the lesions either with or without the device output in random order. All lesions were viewed twice during the study, once without device output and once with device output. After each lesion, the readers were asked to provide a management decision of "Refer" or "Do not refer." The co-primary endpoints were aided sensitivity superiority to unaided sensitivity, and aided sensitivity + specificity >1. The study demonstrated that: - device-aided PCPs had a higher sensitivity of 91.4% (95% CI: 85.7-97.1%) . compared with unaided PCP sensitivity 82.0% (95% CI: 76.4-87.6%; p=0.0027); and - sensitivity + specificity of PCPs aided by the device was greater than 1 (Odds Ratio . 6.8. CI: 4.7 to 9.8. p<0.001). The co-primary endpoints were therefore met. Additional analyses showed that: - device-aided PCPs had a lower specificity of 32.4% (95% CI: 20.7-44.1%) . compared with unaided PCP specificity 44.2% (95% CI: 36.0-52.4%); and - when assessed for overall performance of aided vs. unaided reader performance, . the area under the receiver operating characteristic curve (AUROC) increased 5.4% from 0.708 to 0.762. The data in this study, in which DermaSensor output was provided concurrently with the image of the lesion, demonstrated that PCPs performed better when viewing images with the device output than when viewing the image alone. However, the increased sensitivity was associated with reduced specificity. The specificity of the device-aided PCP was higher in this study than the specificity of the device alone, as quantified in the standalone performance testing, indicating that adjunctive use by PCPs may, to some extent, mitigate the risk associated with the low specificity of the device alone. Nonetheless, use of the device is still expected to result in higher referral of both true positives and false positives. The demonstrated increase in AUROC, which reflects both sensitivity and specificity, indicates that overall accuracy was greater in aided reads than in unaided reads. {20}------------------------------------------------ DERM-SUCCESS pigmented lesion reader study: "A Multi-Reader, Multi-Case (MRMC) Study for Evaluating the Impact of the DermaSensor Device on Primary Care Physicians' Assessment of Pigmented Lesions" The DERM-SUCCESS pigmented lesion reader study was intended to demonstrate noninferiority of PCPs aided by the device compared to unaided PCPs for pigmented lesions suggestive of skin cancer. Seventy-seven PCP readers were shown an image of a lesion and entered an initial management decision of "Refer" or "Do not refer." The device output was then revealed, and the readers entered a second management decision. The lesions included 69 malignant lesions (36% melanoma, 26% SCC, 36% BCC) and 67 benign lesions (59 pigmented, 10 non-pigmented). The primary endpoint was aided AUROC noninferiority for all skin cancers. When the device result was shown the aided PCP AUROC was found to be greater than the unaided PCP AUROC by 1.5%, with statistically significant non-inferiority (p<0.001). The primary endpoint was therefore met. Secondary endpoints were aided reader sensitivity non-inferiority for all skin cancers. aided reader sensitivity non-inferiority for melanoma, and specificity non-inferiority margin of 20%. Analysis of secondary endpoints showed: - . aided PCP sensitivity for all skin cancers increased from 80.5% (95% C1: 75.1-85.9%) to 86.3% (95% CI: 65.3-85.6%) with statistically significant superiority (p<0.001); - aided PCP sensitivity for melanoma increased from 68.8% (95% CI: 59.6-78.1%) . to 75.4% (95% CI: 65.3-85.6%) with statistically significant non-inferiority (p<0.001); and - aided PCP specificity for all skin cancers decreased from 45.7% (95% CI: 39.2-. 52.2%) to 35.1% (95% CI: 27.4-42.9%) with statistically significant non-inferiority (p=0.003). This second-read design study demonstrated that PCPs improved their initial management decision when provided with the device output and were able to revise the management decision. Use of the device as a second read improved the sensitivity of the study PCPs for skin cancers overall and did not decrease sensitivity for lesions with the highest metastatic potential (i.e., melanoma). However, the increased sensitivity was associated with reduced specificity, which may result in higher referral of both true positives and false positives. AUROC, which reflects both sensitivity and specificity, indicated that the device led to improvement in overall accuracy based on the point-estimate; the statistically significant non-inferiority of AUROC supports that in a study enriched with pigmented lesions, PCP accuracy does not decrease for lesions with high metastatic potential, mitigating the risk of false negatives in this high-risk patient population. The results are summarized in Table 14. ## Table 14: PCP Management AUROC and Sensitivity Without and With Device | | Lesion<br>Assessments | Estimate (95% Confidence Interval) | | | |--|-----------------------|------------------------------------|-------------|---------| | | | Without Device | With Device | P-value | {21}------------------------------------------------ | AUROC | n=20,944 | 0.702<br>(0.653-0.751) | 0.717<br>(0.661-0.773) | <0.001 | |-----------------------------|----------|------------------------|------------------------|---------| | Sensitivity | n=10,626 | 80.5%<br>(75.1-85.9%) | 86.3%<br>(81.1-91.5%) | <0.001* | | Sensitivity for<br>Melanoma | n=3,850 | 68.8%<br>(59.6-78.1%) | 75.4%<br>(65.3-85.6%) | 0.029* | | Specificity | n=10,318 | 45.7%<br>(39.2-52.2%) | 35.1%<br>(27.4-42.9%) | 0.003 | *p-value for superiority, otherwise p-value is for non-inferiority DERM-ASSESS III reader study: "A Multi-Reader, Multi-Case (MRMC) Study for Evaluating the Impact of the DermaSensor Device on Primary Care Physicians' Assessment of Lesions Suggestive of Melanoma" The DERM-ASSESS III reader study for lesions suggestive of melanoma was intended to demonstrate non-inferiority of PCPs aided by the device compared to unaided PCPs, for lesions suggestive of melanoma. The readers, 118 PCPs, were shown an image of a lesion and entered an initial management decision of "Refer" or "Do not refer." The device output was then revealed, and the readers entered a second management decision. The lesions included 50 malignant lesions (68% melanoma, 16% SCC, 16% BCC) and 50 benign lesions. The primary endpoint was aided AUROC non-inferiority for all skin cancers. When the device result was shown the aided read AUROC was found to be greater than the unaided AUROC by 4.1%, with statistically significant non-inferiority (p<0.001) and superiority (p=0.036). The primary endpoint was therefore met. Secondary endpoints aided reader sensitivity non-inferiority for all skin cancers, aided sensitivity non-inferiority for melanoma, and specificity non-inferiority margin of 20%, were also met. The results are summarized in Table 15. This study also demonstrated that use of the device as a second read source of information improved the sensitivity of the PCPs in the study. The increase in sensitivity was associated with lower specificity. This is anticipated to result in higher referral of both true positives and false positives. AUROC, which reflects both sensitivity and specificity, was improved when the device output was provided, indicating that the device led to improvement in overall accuracy based on the point-estimate; the statistically significant non-inferiority of AUROC supports that in a study enriched with pigmented lesions, PCP accuracy does not decrease for lesions with high metastatic potential, mitigating the risk of false negatives in this high-risk patient population. | | Lesion<br>Assessments | Estimate (95% Confidence Interval) | | | |-------------|-----------------------|------------------------------------|------------------------|---------| | | | Without Device | With Device | P-value | | AUROC | n=11,800 | 0.630<br>(0.582-0.678) | 0.671<br>(0.611-0.732) | 0.036* | | Sensitivity | n=5,900 | 73.7%<br>(67.7-79.6%) | 81.8%<br>(76.0-87.6%) | <0.001* | | Table 15: PCP Management AUROC and Sensitivity Without and With Device | | |------------------------------------------------------------------------|--| | | | | | | {22}------------------------------------------------ | Sensitivity for<br>Melanoma | n=3,850 | 70.2%<br>(62.9-77.6%) | 79.1%<br>(72.4-85.7%) | <0.001* | |-----------------------------|---------|-----------------------|-----------------------|---------| | Specificity | n=5,900 | 44.2%<br>(38.1-50.2%) | 38.6%<br>(30.9-46.2%) | <0.001 | *p-value for superiority, otherwise p-value is for non-inferiority ## Clinical Performance Results Analysis by Skin Cancer Type Melanoma, SCC, and BCC are all skin cancers, but they are three distinct diseases, with different natural histories, risk of metastasis, urgency of diagnosis and treatment, and mortality rates. Device standalone performance was assessed for each lesion type and is summarized below (Table 16). Device standalone performance and the performance of the device in aiding PCP performance was further assessed by patient age and Fitzpatrick skin phototypes; this is also summarized below by each lesion type. Table 16 (a, b): Standalone device sensitivity and specificity by skin cancer subtype (based on binary output correlation with final histological diagnosis) #### a. All participants | Final Diagnosis | n | True Positives or<br>True Negatives¹ | Sensitivity or<br>Specificity (%)² | |-------------------------------------|------|--------------------------------------|------------------------------------| | High risk lesions | 224 | 214 | 95.5% (91.7%-97.6%) | | Melanoma and severely atypical nevi | 48 | 42 | 87.5% (76.4%-93.8%) | | Melanoma | 29 | 24 | 82.8% (64.2%-94.2%) | | Highly Atypical Nevus | 19 | 18 | 94.7% (91.9%-96.6%) | | Squamous Cell Carcinoma (SCC) | 86 | 84 | 97.7% (91.1%-99.4%) | | Basal Cell Carcinoma (BCC) | 90 | 88 | 97.8% (91.3%-99.5%) | | Low risk lesions | 1355 | 281 | 20.7% (18.5%-23.1%) | #### b. Participants age 40+ (Intended use population) | Final Diagnosis | n | True Positives or<br>True Negatives1 | Sensitivity or<br>Specificity (%)2 | |-------------------------------------|------|--------------------------------------|------------------------------------| | High risk lesions | 217 | 209 | 96.3% (92.9-98.4%) | | Melanoma and severely atypical nevi | 41 | 37 | 90.2% (76.9-97.3%) | | Squamous Cell Carcinoma (SCC) | 86 | 84 | 97.7% (91.1%-99.4%) | | Basal Cell Carcinoma (BCC) | 90 | 88 | 97.8% (91.3%-99.5%) | | Low risk lesions | 1155 | 234 | 20.3% (18.0-22.7%) | 1 True positives for high risk lesions and true negatives for low risk lesions 295% CI calculated accounting for within-subject correlations using Wilson method. Melanoma (including severely/highly atypical nevi): {23}------------------------------------------------ Standalone device sensitivity for melanoma was highest in Fitzpatrick skin phototypes I and II (100% and 91.7%, respectively for the full population; 100% and 90.9%, for age 40+). The study included Fitzpatrick skin phototypes VI, V, and VI with a relatively small number of lesions per phototype (5, 6, and 1). consistent with the lower incidence of melanoma in Fitzpatrick skin phototypes IV-VI. Standalone device sensitivity was high in participants aged 40-59 (92.9%) and 60-79 (91.7%) but relatively lower in participants under age 40 (71.4%) and participants aged over 80 (66.7%). When used as a second read device for adjunctive use in clinical decision support, the DermaSensor device improved performance of PCPs for participants ages 40 and older and with Fitzpatrick skin phototypes I-VI. Table 17 and Table 18 below summarize device standalone sensitivity and specificity and degree of effect on readers by subgroup by Fitzpatrick skin phototype and age group. We note that melanoma patients with Fitzpatrick skin phototypes IV-VI, were less represented in the studies consistent with their lower incidence in the US population. To assess safety in this patient subgroup, the performance of the device was compared to the PCP performance for the 12 melanomas enrolled in this subgroup in the DERM-SUCCESS standalone performance test study. The unaided PCP melanoma sensitivity was 66.7% (8/12), compared to the device sensitivity of 83.3% (10/12) for the same lesions. Thus, the data are suggestive of a margin of safety between the device sensitivity and PCP sensitivity for melanoma patients in this subgroup. | Table 17 (a.b): Summary of Device Melanoma Performance and PCP Melanoma | |-------------------------------------------------------------------------| | Performance Based on Fitzpatrick Skin Phototypes | | Fitzpatrick<br>Phototype | DERM-SUCCESS<br>Standalone device performance | | DERM-SUCCESS<br>Pigmented lesion reader study - sensitivity | | | | |--------------------------|-----------------------------------------------|-----------------|-------------------------------------------------------------|----------------|--------------|-----------------------| | | Sensitivity | Specificity | No.<br>Lesions | PCP<br>Unaided | PCP<br>Aided | % Change<br>for Aided | | Overall | 87.5% (42/48) | 23.7% (216/913) | 25 | 68.8% | 75.4% | 6.6% | | I | 100.0% (10/10) | 19.3% (16/83) | 4 | 74.0% | 81.2% | 7.1% | | II | 91.7% (11/12) | 24.4% (50/205) | 9 | 80.7% | 86.1% | 5.5% | | III | 78.6% (11/14) | 21.4% (65/304) | 7 | 59.6% | 75.1% | 15.6% | | IV | 80.0% (4/5) | 26.2% (43/164) | 2 | 72.7% | 57.8% | -14.9% | | V | 83.3% (5/6) | 26.1% (37/142) | 3 | 45.5% | 48.1% | 2.6% | | VI | 100.0% (1/1) | 33.3% (5/15) | 0 | N/A | N/A | N/A | ## a. All participants ## b. Participants age 40+ (Intended use population) | | DERM-SUCCESS<br>Standalone device performance | | DERM-SUCCESS<br>Pigmented lesion reader study - sensitivity | | | | |--------------------------|-----------------------------------------------|-----------------|-------------------------------------------------------------|----------------|--------------|-----------------------| | Fitzpatrick<br>Phototype | Sensitivity | Specificity | No.<br>Lesions | PCP<br>Unaided | PCP<br>Aided | % Change<br>for Aided | | Overall | 90.2% (37/41) | 23.0% (171/742) | 21 | 69.9% | 78.4% | 8.5% | | I | 100% (9/9) | 20.9% (14/67) | 3 | 72.7% | 82.7% | 10.0% | {24}------------------------------------------------ | II | 90.9% (10/11) | 25.3% (45/178) | 8 | 79.4% | 86.4% | 7.0% | |-----|---------------|----------------|---|-------|-------|--------| | III | 81.8% (9/11) | 20.0% (48/240) | 6 | 59.1% | 76.4% | 17.3% | | IV | 80.0% (4/5) | 26.2% (43/164) | 2 | 72.7% | 57.8% | -14.9% | | V | 100% (4/4) | 26.7% (31/116) | 2 | 57.1% | 66.2% | 9.1% | | VI | 100.0% (1/1) | 33.3% (5/15) | 0 | N/A | N/A | N/A | | Table 18: Summary of Device Melanoma Performance and PCP Melanoma Performance | | | |-------------------------------------------------------------------------------|--|--| | Based on Age Group | | | | | DERM-SUCCESS<br>Standalone device performance | | DERM-SUCCESS<br>Pigmented Lesion reader study - sensitivity | | | | |-----------|-----------------------------------------------|-----------------------|-------------------------------------------------------------|----------------|-----------|-----------------------| | Age Group | Device<br>Sensitivity | Device<br>Specificity | No.<br>Lesions | PCP<br>Unaided | PCP Aided | % Change<br>for Aided | | Age 20-40 | 71.4% (5/7) | 25.3% (46/182) | 4 | 63.3% | 60.1% | -3.20% | | Age 41-60 | 92.9% (13/14) | 27.4% (57/208) | 8 | 75.8% | 79.2% | 3.40% | | Age 61-80 | 91.7% (22/24) | 28.3% (30/106) | 13 | 66.2% | 77.8% | 11.60% | | Age 81+ | 66.7% (2/3) | 0.0% (0/4) | 0 | NA | NA | NA | | Overall | 87.5% (42/48) | 23.7% (216/913) | 25 | 68.8% | 75.4% | 6.6% | | Ages 40+ | 90.2% (37/41) | 23.0% (171/742) | 21 | 69.9% | 78.4% | 8.5% | The DERM-SUCCESS pigmented lesion reader study was analyzed to determine whether the improvement in sensitivity in the context of reduced specificity had a net positive change in referral decision. The analysis demonstrated that the ratio of readers' management decisions that were correctly changed from unaided "Do not refer" to aided "Refer" (resulting in correction of a potential missed diagnosis), compared to management decisions that were incorrectly changed from unaided "Refer" to aided "Do not refer (resulting in a missed diagnosis) was 248:49, indicating that the device was more likely to correct user management decision than to harm management decision by a factor of 5, indicating an overall benefit as an aid in second reading of pigmented lesions suspicious for melanoma (Table 19). | Table 19: Summary of converted reader decisions. | | |-----------------------------…
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