aPROMISE

K211655 · Exini Diagnostics AB · LLZ · Jul 27, 2021 · Radiology

Device Facts

Record IDK211655
Device NameaPROMISE
ApplicantExini Diagnostics AB
Product CodeLLZ · Radiology
Decision DateJul 27, 2021
DecisionSESE
Submission TypeTraditional
Regulation21 CFR 892.2050
Device ClassClass 2
AttributesAI/ML, Software as a Medical Device

Intended Use

aPROMISE is intended to be used by healthcare professionals and researchers for acceptance, transfer, storage, image display, manipulation, quantification and reporting of digital medical images. The system is intended to be used with images acquired using nuclear medicine (NM) imaging, using PSMA PET/CT. The device provides general Picture Archiving and Communications System (PACS) tools as well as a clinical application for oncology including marking of regions of interest and quantitative analysis.

Device Story

aPROMISE is a cloud-based software platform for oncology image analysis. It accepts DICOM-formatted PSMA PET/CT scans. Users upload scans via web interface; system displays 4-panel views (PET, CT, fusion, MIP). AI-enabled algorithms perform automated segmentation of skeleton and soft tissue organs; detect high-intensity regions of interest (hotspots). Users review detected hotspots, manually adjust or draw regions, and confirm findings. System performs quantitative analysis (SUV-max, SUV-mean, SUV-peak, volume, lesion index, ITLV). Healthcare professionals use output to identify suspicious lesions and generate reports. Signed reports exported as JPG or DICOM. Device facilitates clinical decision-making by providing reproducible, consistent quantification of tracer uptake; aids in identifying metastatic disease.

Clinical Evidence

Bench testing only. Digital phantom validation confirmed accuracy, linearity, and limit of detection for SUV/volume quantification. Comparison to predicate (K160334) demonstrated equivalent performance in marking and quantitative assessment. Analytical performance study showed automated quantification of tracer uptake in reference organs was more reproducible/consistent than manual methods and demonstrated high sensitivity in pre-selecting suspicious regions.

Technological Characteristics

Cloud-based software platform; web interface; DICOM 3 compliant. AI-enabled automated segmentation of skeleton and soft tissue organs. Features include 4-panel image display, manual/automatic hotspot detection, and SUV-based quantification. Compatible with Windows/macOS via Chrome. No patient-contacting components; no electrical/EMC requirements. Software level of concern: moderate.

Indications for Use

Indicated for healthcare professionals and researchers to manage, display, and quantify PSMA PET/CT nuclear medicine images for oncology applications, including marking regions of interest.

Regulatory Classification

Identification

A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.

Special Controls

*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).

Predicate Devices

Related Devices

Submission Summary (Full Text)

{0}------------------------------------------------ July 27, 2021 Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). The FDA logo consists of two parts: the Department of Health and Human Services (DHHS) logo on the left and the FDA wordmark on the right. The DHHS logo is a stylized depiction of a human figure embracing a globe. The FDA wordmark is a blue rectangle with the letters "FDA" in white, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue. EXINI Diagnostics AB % Donna-Bea Tillman, Ph.D. Senior Consultant Biologics Consulting Group 1555 King Street. Suite 300 ALEXANDRIA VA 22314 Re: K211655 Trade/Device Name: aPROMISE Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: May 27, 2021 Received: May 28, 2021 Dear Dr. Tillman: We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading. If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for {1}------------------------------------------------ devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems. For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100). Sincerely. For Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health Enclosure {2}------------------------------------------------ ### Indications for Use 510(k) Number (if known) K211655 Device Name aPROMISE ### Indications for Use (Describe) aPROMISE is intended to be used by healthcare professionals and researchers for acceptance, transfer, storage, image display, manipulation, quantification and reporting of digital medical images. The system is intended to be used with images acquired using nuclear medicine (NM) imaging using PSMA PET/CT. The device provides general Picture Archiving and Communications System (PACS) tools as well as a clinical application for oncology including marking of regions of interest and quantitative analysis. Type of Use (Select one or both, as applicable) | <span style="text-decoration: overline;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) | |------------------------------------------------------------------------------------------------| | <span style="text-decoration: overline;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) | ### CONTINUE ON A SEPARATE PAGE IF NEEDED. This section applies only to requirements of the Paperwork Reduction Act of 1995. ### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.* The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to: > Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov "An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number." {3}------------------------------------------------ 510(k) Summary In accordance with 21 CFR 807.87(h) and 21 CFR 807.92 the 510(k) Summary for aPROMISE is provided below. #### 1. SUBMITTER | Applicant: | EXINI Diagnostics AB<br>Ideon Science Park<br>Scheelevägen 27<br>223 70 Lund<br>Sweden | |---------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Contact: | Aseem Anand, Ph.D.<br>Vice President<br>EXINI Diagnostics AB<br>Ideon Science Park, Scheelevägen 27, SE-223 70<br>Lund, Sweden<br>Tel: +46706604084<br>aseem.anand@exini.com | | Submission Correspondent: | Donna-Bea Tillman, Ph.D.<br>Senior Consultant<br>Biologics Consulting<br>1555 King Street, Suite 300<br>Alexandria, Virginia 22314<br>(410) 531-6542<br>dtillman@biologicsconsulting.com | | Date Prepared: | May 28, 2021 | #### 2. DEVICE | Device Trade Name: | aPROMISE | |---------------------|-------------------------------------------------------------------| | Device Common Name: | Picture Archiving and Communication System | | Classification Name | 21 CFR 892.2050 Medical Image Management and<br>Processing System | | Regulatory Class: | II | | Product Code: | LLZ | #### 3. PREDICATE DEVICE Predicate Device: Exini aBSI (K191262) {4}------------------------------------------------ Secondary Predicate Device: Keosys Medical Imaging Suite KSWVWR (K160334 Advanced Medical Imaging Software Suite) #### DEVICE DESCRIPTION 4. aPROMISE (automated PROstate specific Membrane Antigen Imaging SEgmentation) consists of a cloud-based software platform with a web interface where users can upload body scans of PSMA PET/CT image data in the form of DICOM files, review patient studies and share study assessments within a team. The software complies with the Digital Imaging and Communications in Medicine (DICOM) 3 standard. Multiple scans can be uploaded for each patient and the system provides a separate review for each study. The review page display studies in a 4-panel view showing PET, CT, PET/CT fusion and maximum intensity projection (MIP) simultaneously and includes the option to display each view separately. The device is used to review entire patient studies, using image visualization and analysis tools for users to identify and mark regions of interest (ROIs). While reviewing image data, users can mark ROIs by selecting from pre-defined hotspots that are highlighted when hovering with the mouse pointer over the segmented region, or by manual drawing, i.e selecting individual voxels in the image slices to include as hotspots. Selected or drawn hotspots are subject to automatic quantitative analysis. The user can review the results of this quantitative analysis and determine which hotspots should be reported as suspicious lesions. To create a report the signing user is required to confirm quality control, and electronically sign the report preview. Signed reports are saved in the device and can be exported as a JPG or DICOM file. ### 5. INTENDED USE/INDICATIONS FOR USE aPROMISE is intended to be used by healthcare professionals and researchers for acceptance, transfer, storage, image display, manipulation, quantification and reporting of digital medical images. The system is intended to be used with images acquired using nuclear medicine (NM) imaging, using PSMA PET/CT. The device provides general Picture Archiving and Communications System (PACS) tools as well as a clinical application for oncology including marking of regions of interest and quantitative analysis. #### SUBSTANTIAL EQUIVALENCE 6. ### Comparison of Indications Both aPROMISE and the predicate aBSI are software-only devices that are used in the acceptance, transfer, storage, image display, manipulation, quantification and reporting of nuclear medicine images by healthcare providers. Both devices perform segmentation of the body in the radiological image and automatically segment hotspots, regions with high tracer uptake. Both devices rely on the user to make the final selection of regions of interest that are considered as lesions. Both devices provide a quantitative metric of radiotracer uptake that can be used to inform patient care decisions. {5}------------------------------------------------ The subject aPROMISE device differs from the primary predicate device in that it is intended to be used with PSMA PET/CT images while the predicate device is intended to be used with bone scans. These differences in the Indications for use do not affect the fundamental intended use of the devices, which is to provide a software tool to aid the user, a healthcare professional or researcher, to mark regions of interest as lesions and provide quantitative analysis. The intended use to aPROMISE in PET/CT is the same as that of aBSI in bone scan images – a PACS device with a clinical application of oncology to mark and quantify regions of interest, intended to be used by healthcare professionals and researchers. Therefore, aBSI can be used as a primary predicate for aPROMISE. # Technological Comparisons The table below compares the key technological feature of the subject device aPROMISE to the predicate devices, Exini aBSI (K191262) and Keosys Medical Imaging Suite KSWVWR (K160334). | Specification/<br>Characteristic | <i>aPROMISE</i><br>(proposed device) | <i>aBSI</i><br>(predicate device) | Comparison to predicate | |-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | General | | | | | Intended user | Health care professionals<br>and researchers | Health care professionals<br>and researchers | No difference | | Intended use<br>environment | Healthcare clinics | Healthcare clinics | No difference | | Classification | 21 CFR 892.2050<br>System, Image<br>Processing, Radiological<br>(LLZ) Class II | 21 CFR 892.2050<br>System, Image<br>Processing, Radiological<br>(LLZ) Class II | No difference | | Installation | Cloud-based service and<br>access with personal log-in. | Cloud-based service and<br>access with personal log-in. | No difference | | Operating system | Windows or macOS with<br>Chrome browser | Windows or macOS with<br>Chrome browser | No difference | | DICOM<br>compatibility and<br>Imaging<br>Modalities | DICOM 3:<br>Whole body<br>• PET<br>• CT | DICOM 3:<br>Whole body<br>• Bone scans<br>• SPECT | The differences in DICOM 3<br>compatibility reflect the<br>different image modalities<br>which is supported by a<br>secondary predicate, the Keosys<br>Medical Imaging Suite<br>KSWVWR (K160334), as<br>discussed below. The difference | | Specification/<br>Characteristic | <i>aPROMISE</i><br>(proposed device) | <i>aBSI</i><br>(predicate device) | Comparison to predicate | | Image upload | Via file selector <b>or drag<br/>and drop</b> from local<br>computer or<br>network. <b>Upload can<br/>handle zip files.</b> | Via file selector on local<br>computer or network | does not affect the clinical use<br>of the device and does not raise<br>different questions of safety or<br>effectiveness.<br><br>The difference involves an<br>additional option for image<br>upload. The difference does not<br>affect the clinical use of the<br>device and does not raise<br>different questions of safety or<br>effectiveness. | | Support for<br>multiple scans | Yes, multiple scans can<br>be analyzed <b>one at a<br/>time.</b> | Yes, if multiple scans are<br>provided, <b>the images are<br/>automatically aligned<br/>vertically</b> | The difference in support for<br>multiple scans does not affect<br>the clinical use of the device<br>and does not raise different<br>questions of safety or<br>effectiveness. | | Colormaps | A selection of commonly<br>used colormaps<br>supported:<br>For PET image:<br>Cool<br>• Inverted grayscale<br>• Grayscale with<br>overflow<br>• Hot Iron<br>• Spectrum<br>• Warm<br>For CT image:<br>• Grayscale | A selection of commonly<br>used colormaps<br>supported:<br>• Cool<br>• Electric<br>• Inverted grayscale<br>• Inverted grayscale<br>overflow<br>• Grayscale<br>• Thermal | Same feature, both devices<br>offer a selection of commonly<br>used colormaps. The<br>differences in colormaps are<br>dependent on the different<br>image modalities. The<br>difference does not affect the<br>clinical use of the device and do<br>not raise different questions of<br>safety or effectiveness. | | Zoom | Automatically adjusted<br>image size.<br>Manually adjustable<br>zoom in planar views | Automatically adjusted<br>image size.<br>Manually adjustable<br>zoom in planar views | No difference | | Windowing | Manual adjustment of<br>windowing. Slider for<br>PET. Click'n'drag and<br>by a drop-down menu<br>for CT. | Manual adjustment of<br>windowing. Slider for<br>bone scans. | Same feature, the difference in<br>windowing is an adjustment for<br>the different image modalities.<br>The difference does not affect<br>the clinical use of the device<br>and do not raise different | | Specification/<br>Characteristic | aPROMISE<br>(proposed device) | aBSI<br>(predicate device) | Comparison to predicate | | Image layouts | 4 panel view showing<br>PET, CT, PET/CT fusion<br>and MIP simultaneously<br>and option to display each<br>view separately.<br>Coronal, axial and sagittal<br>views can be displayed | Anterior and posterior<br>images shown side by<br>side | The difference in image layout<br>is dependent on the different<br>image modalities. The<br>difference does not affect the<br>clinical use of the device and do<br>not raise different questions of<br>safety or effectiveness. | | Intensity display | Local intensity displayed<br>in left corner of the image<br>when hovering over<br>image | Local intensity displayed<br>in left corner of the image<br>when hovering over<br>image | No difference | | Hotspot display | Segmented hotspots can<br>be displayed in planar<br>views | Segmented hotspots can<br>be displayed in planar<br>views | No difference | | Organ<br>Segmentation | AI enabled automated<br>segmentation of skeleton<br>and soft tissue organs | AI enabled automated<br>segmentation of skeleton | Same feature but adjusted for<br>the different image modalities.<br>The difference does not affect<br>the clinical use of the device<br>and do not raise different<br>questions of safety or<br>effectiveness. | | Normalization | Images are normalized so<br>that healthy bone tissue<br>intensities are<br>automatically set to a<br>predefined level. | Images are normalized so<br>that healthy bone tissue<br>intensities are<br>automatically set to a<br>predefined level. | No difference | | Hotspot detection | Algorithm to detect high<br>intensity regions of<br>interest in the PET series<br>within the segmented<br>structures (skeleton and<br>soft tissue). | Algorithm to detect high<br>intensity regions of<br>interest within the<br>segmented structures<br>(skeleton). | Same feature but adjusted for<br>the different image modalities.<br>The difference does not affect<br>the clinical use of the device<br>and do not raise different<br>questions of safety or<br>effectiveness. | | Hotspot pre-selection | All detected high<br>intensity ROIs can be<br>shown for review by the<br>user without pre-<br>selection. | Detected high intensity<br>ROIs are sorted into two<br>groups (high and low)<br>using artificial neural<br>network (ANN)<br>classifiers. Hotspots, | The devices have a difference<br>in hotspot preselection;<br>showing all detected high<br>intensity regions (no<br>preselection as of the<br>predicate), but both devices still | | Specification/<br>Characteristic | aPROMISE<br>(proposed device) | aBSI<br>(predicate device) | Comparison to predicate | | | | classified as high, are<br>preselected and displayed<br>to the user for review. | require the user to select and<br>make the final call of what<br>regions to include as lesions.<br>The difference does not affect<br>the clinical use of the device<br>and do not raise different<br>questions of safety or<br>effectiveness. | | Hotspot<br>verification | The user can select pre-<br>defined segmentation of<br>hotspots or segment each<br>hotspot manually that are<br>considered to be lesions<br>by the user. | Preselected hotspots are<br>shown to and reviewed by<br>the user. The hotspot<br>selection is editable by<br>the user. | The difference in hotspot<br>verification constitutes of the<br>user to manually review and<br>select predefined- or draw<br>hotspots in the subject device,<br>instead of being presented<br>automatically preselected<br>hotspots to be reviewed as of<br>the predicate. The difference<br>does not affect the clinical use<br>of the device and do not raise different questions of safety or<br>effectiveness. | | Hotspot<br>Quantification | -Bone Scan Index (BSI) | Standard Uptake Values<br>(SUV):<br>-SUV-max<br>-SUV-mean<br>-SUV-peak<br>-Volume<br>-Lesion Index (LI)<br>-Intensity-weighted<br>Tissue Lesion Volume<br>(ITLV) | The differences in calculated<br>values reflect the different<br>imaging modalities. The use of<br>the SUV calculation is<br>supported by a secondary<br>predicate, the Keosys Medical<br>Imaging Suite KSWVWR<br>(K160334), as discussed in<br>section 12.3.2. | | Quality Control | SW enforced requirement<br>to verify the user review<br>of<br>- Image quality<br>- PET/CT image<br>alignment<br>- Patient study data<br>- Reference values<br>- Study is not a<br>superscan | SW enforced requirement<br>to verify the user review<br>of<br>- Image quality<br>- The skeletal outlining<br>(Atlas)<br>- The selected hotspots | Same feature with adjustment<br>for the different image<br>modalities. The difference does<br>not affect the clinical use of the<br>device and do not raise different<br>questions of safety or<br>effectiveness. | | Specification/<br>Characteristic | aPROMISE<br>(proposed device) | aBSI<br>(predicate device) | Comparison to predicate | | User<br>confirmation for<br>report generation | User confirmation that the<br>requirements for image<br>assessment have been<br>followed is required for<br>report creation | User confirmation that the<br>requirements for BSI<br>assessment have been<br>followed is required for<br>report creation | No difference | | Report (Summary<br>page export) | The user can export the<br>results of a study to the<br>hard drive as an image or<br>as a DICOM Secondary<br>Capture. | The user can export the<br>results of a study to the<br>hard drive as an image or<br>as a DICOM Secondary<br>Capture. | No difference | | CSV export | Supports export of study<br>and lesion values as a<br>CSV file for all created<br>reports | Supports export of study<br>and BSI value as a CSV<br>file for all created reports | No difference | Table 1: Technological Comparison {6}------------------------------------------------ {7}------------------------------------------------ {8}------------------------------------------------ {9}------------------------------------------------ ### 7. PERFORMANCE DATA # Sterilization and Shelf Life aPROMISE consists entirely of software; accordingly, there are no sterilization concerns. As a software only device, shelf-life (including performance date) is also not applicable because of low likelihood of time-dependent product degradation. # Biocompatibility Testing There are no direct or indirect patient-contacting components of the subject device. Therefore, patient contact information is not needed for this device. # Electrical safety and electromagnetic compatibility (EMC) Not applicable. The subject device is a software-only device. It contains no electric components, generates no electrical emissions, and uses no electrical energy of any type. # Software Verification and Validation Testing Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices." The software for this device was considered as a moderate level of concern. {10}------------------------------------------------ ## Bench Testing Exini performed the following studies verify and validate the performance of aPROMISE. - Digital Phantom Validation Study. This study assessed the accuracy, linearity, and limit . of detection of aPromise against the known values of a digital reference object (NEMA phantom). All SUV and volume quantification tests of aPROMISE met their predetermined acceptance criteria. - Comparison to Predicate. This study demonstrated the equivalent performance of ● APROMISE as compared to the predicate KSWVWR (K160334) for standard functions in marking and quantitative assessments of user defined region of interest in PSMA PET/CT. - . Analytical Performance in Clinical Study. This study compared the performance of aPROMISE to that of clinicians and demonstrated that aPROMISE enables the automated quantification of tracer uptake in reference organs that are more reproducible, and consistent than those obtained manually. The study also demonstrated that aPROMISE has high sensitivity in pre-selection of regions of interest that are determined to be suspicious for metastatic disease. These results demonstrate that aPROMISE performs in accordance with specifications and meets user needs and intended uses. ### Animal Testing Not applicable. Animal studies are not necessary to establish the substantial equivalence of this device. # Clinical Data Not applicable. Clinical studies are not necessary to establish the substantial equivalence of this device. #### CONCLUSION 8. Based on the detailed comparison, the differences between the subject and predicate devices do not raise new questions of safety and effectiveness. The software verification (Section 16.9) and the performance testing demonstrates that the device performs according to the device requirements. Therefore, the aPROMISE device can be found substantially equivalent to the predicate device.
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