K261380 · Proscia, Inc. · QKQ · Aug 5, 2026 · Pathology
Device Facts
Record ID
K261380
Device Name
Concentriq AP-Dx
Applicant
Proscia, Inc.
Product Code
QKQ · Pathology
Decision Date
Aug 5, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 864.3700
Device Class
Class 2
Attributes
Software as a Medical Device, PCCP
Indications for Use
Concentriq AP-Dx is a software only device intended for viewing and management of digital images of scanned surgical pathology slides prepared from formalin-fixed paraffin embedded (FFPE) tissue. It is an aid to the pathologist to review, interpret and manage these digital slide images for the purpose of pathology primary diagnosis. Concentriq AP-Dx is not intended for use with frozen sections, cytology, or non-FFPE hematopathology specimens. It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the quality of the images obtained and the validity of the interpretation of images using Concentriq AP-Dx.
Device Story
Web-based, software-only digital pathology viewer; enables viewing, interpretation, and management of whole slide images (WSI) from validated scanners. Input: digital images (.SVS, .NDPI) from FFPE tissue slides. Operation: pathologist selects cases from worklist; views images via browser; performs panning, zooming, annotations, and distance/area measurements. Output: visual display for diagnostic interpretation. Used in clinical pathology settings; operated by pathologists. Facilitates primary diagnosis by providing digital access to slide images; supports workflow efficiency through side-by-side viewing and measurement tools. PCCP allows for future integration of additional FDA-cleared scanners and displays.
Clinical Evidence
No clinical data. Performance was established via bench testing: pixel-wise comparison testing (30 H&E FFPE slides, 180 image-pairs per configuration) using CIEDE2000 (ΔE00) metric confirmed identical image reproduction (95th percentile < 3 ΔE00). Measurement accuracy testing (distance/area) showed < 1% error against ground truth. Turnaround time testing demonstrated loading, panning, and zooming operations < 2 seconds.
Technological Characteristics
Web-browser based software; cloud-deployed. Supports .SVS and .NDPI file formats. Interoperable with specific FDA-cleared WSI scanners (Leica Aperio GT 450 DX, Hamamatsu NanoZoomer S360MD) and displays (Dell U3223QE, JVC JD-C24BN01A). Connectivity via 100 Mbps+ network. System requirements: Windows 11, 16GB RAM, 4-core processor. PCCP defines validation protocols for future hardware integration.
Indications for Use
Indicated for use by pathologists to review, interpret, and manage digital whole slide images (WSI) of FFPE surgical pathology slides for primary diagnosis. Not for use with frozen sections, cytology, or non-FFPE hematopathology specimens.
Regulatory Classification
Identification
The whole slide imaging system is an automated digital slide creation, viewing, and management system intended as an aid to the pathologist to review and interpret digital images of surgical pathology slides. The system generates digital images that would otherwise be appropriate for manual visualization by conventional light microscopy.
Special Controls
A whole slide imaging system must comply with the following special controls: (1) Premarket notification submissions must include the following information: (i) The indications for use must specify the tissue specimen that is intended to be used with the whole slide imaging system and the components of the system. (ii) A detailed description of the device and bench testing results at the component level, including for the following, as appropriate: (A) Slide feeder; (B) Light source; (C) Imaging optics: (D)Mechanical scanner movement; (E) Digital imaging sensor; (F) Image processing software; (G)Image composition techniques; (H)Image file formats; (I) Image review manipulation software; (J) Computer environment; (K)Display system. (iii)Detailed bench testing and results at the system level, including for the following, as appropriate: (A)Color reproducibility; (B) Spatial resolution; (C) Focusing test; (D) Whole slide tissue coverage; (E) Stitching error: (F) Turnaround time. (iv) Detailed information demonstrating the performance characteristics of the device, including, as appropriate: (A)Precision to evaluate intra-system and inter-system precision using a comprehensive set of clinical specimens with defined, clinically relevant histologic features from various organ systems and diseases. Multiple whole slide imaging systems, multiple sites, and multiple readers must be included. (B) Reproducibility data to evaluate inter-site variability using a comprehensive set of clinical specimens with defined, clinically relevant histologic features from various organ systems and diseases. Multiple whole slide imaging systems, multiple sites, and multiple readers must be included. (C) Data from a clinical study to demonstrate that viewing, reviewing, and diagnosing digital images of surgical pathology slides prepared from tissue slides using the whole slide imaging system is non-inferior to using an optical microscope. The study should evaluate the difference in major discordance rates between manual digital (MD) and manual optical (MO) modalities when compared to the reference (e.g., main sign-out diagnosis). (D) A detailed human factors engineering process must be used to evaluate the whole slide imaging system user interface(s). (2) Labeling compliant with 21 CFR 809.10(b) must include the following: The intended use statement must include the information described in paragraph (i) (1)(i) of this section, as applicable, and a statement that reads, "It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the validity of the interpretation of images obtained using this device." (ii) A description of the technical studies and the summary of results, including those that relate to paragraph (1)(ii) and (1)(iii) of this section, as appropriate. (iii) A description of the performance studies and the summary of results, including those that relate to paragraph (1)(iv) of this section, as appropriate. (iv) A limiting statement that specifies that pathologists should exercise professional judgment in each clinical situation and examine the glass slides by conventional microscopy if there is doubt about the ability to accurately render an interpretation using this device alone.
*Classification.* Class II (special controls). The special controls for this device are:(1) Premarket notification submissions must include the following information:
(i) The indications for use must specify the tissue specimen that is intended to be used with the whole slide imaging system and the components of the system.
(ii) A detailed description of the device and bench testing results at the component level, including for the following, as appropriate:
(A) Slide feeder;
(B) Light source;
(C) Imaging optics;
(D) Mechanical scanner movement;
(E) Digital imaging sensor;
(F) Image processing software;
(G) Image composition techniques;
(H) Image file formats;
(I) Image review manipulation software;
(J) Computer environment; and
(K) Display system.
(iii) Detailed bench testing and results at the system level, including for the following, as appropriate:
(A) Color reproducibility;
(B) Spatial resolution;
(C) Focusing test;
(D) Whole slide tissue coverage;
(E) Stitching error; and
(F) Turnaround time.
(iv) Detailed information demonstrating the performance characteristics of the device, including, as appropriate:
(A) Precision to evaluate intra-system and inter-system precision using a comprehensive set of clinical specimens with defined, clinically relevant histologic features from various organ systems and diseases. Multiple whole slide imaging systems, multiple sites, and multiple readers must be included.
(B) Reproducibility data to evaluate inter-site variability using a comprehensive set of clinical specimens with defined, clinically relevant histologic features from various organ systems and diseases. Multiple whole slide imaging systems, multiple sites, and multiple readers must be included.
(C) Data from a clinical study to demonstrate that viewing, reviewing, and diagnosing digital images of surgical pathology slides prepared from tissue slides using the whole slide imaging system is non-inferior to using an optical microscope. The study should evaluate the difference in major discordance rates between manual digital (MD) and manual optical (MO) modalities when compared to the reference (
*e.g.,* main sign-out diagnosis).(D) A detailed human factor engineering process must be used to evaluate the whole slide imaging system user interface(s).
(2) Labeling compliant with 21 CFR 809.10(b) must include the following:
(i) The intended use statement must include the information described in paragraph (b)(1)(i) of this section, as applicable, and a statement that reads, “It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the validity of the interpretation of images obtained using this device.”
(ii) A description of the technical studies and the summary of results, including those that relate to paragraphs (b)(1)(ii) and (iii) of this section, as appropriate.
(iii) A description of the performance studies and the summary of results, including those that relate to paragraph (b)(1)(iv) of this section, as appropriate.
(iv) A limiting statement that specifies that pathologists should exercise professional judgment in each clinical situation and examine the glass slides by conventional microscopy if there is doubt about the ability to accurately render an interpretation using this device alone.
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FDA
U.S. FOOD & DRUG
ADMINISTRATION
### 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
### I Background Information:
### A 510(k) Number
K261380
### B Applicant
Proscia Inc.
### C Proprietary and Established Names
Concentriq AP-Dx
### D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| QKQ | II | 21 CFR 864.3700 | Pathology |
### II Submission/Device Overview:
### A Purpose for Submission:
- Addition of Leica Aperio GT 450 DX (SVS format) as an interoperable component to Concentriq AP-Dx.
- Addition of NanoZoomer S540MD Slide scanner system as an interoperable component to Concentriq AP-Dx.
- Addition of Dell U3223QE display as an interoperable component to Concentriq AP-Dx.
- Transition to a cloud deployment architecture, with no change to core clinical functionality.
- Establish a Pre-Determined Change Control Plan (PCCP) for qualifying and adding additional FDA-cleared whole slide image scanners and displays as interoperable components to Concentriq AP-Dx.
### B Type of Test:
Software only device
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
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### III Intended Use/Indications for Use:
#### A Intended Use(s):
See Indication(s) for Use below.
#### B Indication(s) for Use:
Concentriq AP-Dx is a software only device intended for viewing and management of digital images of scanned surgical pathology slides prepared from formalin-fixed paraffin embedded (FFPE) tissue. It is an aid to the pathologist to review, interpret and manage these digital slide images for the purpose of pathology primary diagnosis. Concentriq AP-Dx is not intended for use with frozen sections, cytology, or non-FFPE hematopathology specimens. It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the quality of the images obtained and the validity of the interpretation of images using Concentriq AP-Dx.
#### C Special Conditions for Use Statement(s):
Rx – For Prescription Use Only
### IV Device/System Characteristics:
#### A Device Description:
Concentriq AP-Dx (version 4.10) is a web-based, software-only device that is intended to aid pathology professionals in viewing, interpretation, and management of digital whole slide images (WSIs) of scanned surgical pathology slides prepared from FFPE tissue obtained from intended use interoperable scanners. It aids the pathologist in the review, interpretation, and management of pathology slide digital images used to generate a pathology primary diagnosis.
Concentriq AP-Dx is operated as below:
1. After the WSI image is acquired by the intended use slide scanner accordance to the WSI scanner Instructional Manual and any additional standard laboratory procedures, the WSI from the local file system is ingested into Concentriq AP-Dx at which point the Concentriq AP-Dx workflow is initiated.
2. The reading pathologist selects a case from a worklist external to the subject device or from within the subject device, whereby the subject device fetches the associated images from the image storage.
3. The image quality and other image data is evaluated and deemed acceptable, prior to using a whole slide image for diagnosis.
4. The reading pathologist uses the subject device to view and interpret the images using the following actions:
- Zoom and pan the image
- Measure distances in the image
- Annotate the image
- View multiple images side by side
5. The above steps are repeated as required.
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6. After viewing all images for a case, the pathologist will make a diagnosis. The diagnosis will be documented in another system, e.g., a Laboratory Information System (LIS).
Concentriq AP-Dx is designed to be deployed to a cloud infrastructure and accessed through a web-browser (client) on user's workstation within a customer managed network.
Concentriq AP-Dx is intended to be used with the specified interoperable components as specified in Table 1. System requirements are listed in Table 2.
Table 1: Interoperable WSI components
| Scanner | Scanned File Type | Monitor (Display) |
| --- | --- | --- |
| Leica Aperio GT 450 DX | .SVS | Dell U3223QE |
| Hamamatsu NanoZoomer S360MD | .NDPI | JVC JD-C24BN01A |
| Additional FDA cleared scanners/file formats that have been assessed in accordance with the Predetermined Change Control Plan (PCCP) for qualifying additional interoperable scanners | | Additional FDA cleared displays that have been assessed in accordance with the Predetermined Change Control Plan (PCCP) for qualifying additional interoperable displays |
Table 2: Minimum System Requirements
| Workstation Component | Specifications |
| --- | --- |
| Processor | 2 GHz processor or higher with at least 4 cores |
| Memory | 16 GB RAM must be available for use by Concentriq |
| Network connectivity | 100 Mbps. (1 Gbps LAN recommended) connection |
| Operating system | Windows 11 |
| Supported browsers | Google Chrome 142 and above, Microsoft Edge 142 and above |
| Optional input devices | 3Dconnexion SpaceMouse® Pro 3Dconnexion SpaceMouse® Compact |
# B Instrument Description Information:
1. Instrument Name:
Concentriq AP-Dx
2. Specimen Identification:
Concentriq AP-Dx utilizes WSIs acquired from Hematoxylin and Eosin (H&E) stained glass slides using the Leica Aperio GT 450 DX scanner or Hamamatsu NanoZoomer S360MD Slide scanner. A laboratory technician prepares and scans slides using the intended use
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scanner to generate the WSIs. The Concentriq AP-Dx workflow is initiated when the WSI from the local file system is ingested into Concentriq AP-Dx where the reading pathologist selects a case (patient) for viewing with the subject device. The scanned images are identified using the specimen identifier previously assigned to the case.
# 3. Specimen Sampling and Handling:
Specimen sampling and handling are performed upstream and independent of the use of the subject device. Specimen sampling includes biopsy or resection specimens which are processed using histology techniques. Digital images (WSIs) are then obtained from these glass slides using the intended use scanner.
# 4. Calibration:
Not Applicable
# 5. Quality Control:
WSIs are acquired using the intended use scanner according to its instructions for use and are uploaded to the Concentriq Dx storage and associated to case and slide metadata. Images are opened in the Concentriq Dx viewer and the following quality control activities are performed by the user:
- Compare the slide macro image to the slide navigator and/or the image in the viewer to confirm all tissue on the slide has been scanned.
- Confirm the information on the slide label of the image is accurate for the case, block, and slide.
It is the responsibility of the pathologist to confirm that the case is complete and accurate and that the case has the expected number of images before completing review.
# V Substantial Equivalence Information:
# A Predicate Device Name(s):
1. Aperio GT 450 DX
2. Concentriq Dx
# B Predicate 510(k) Number(s):
1. K232202
2. K230839
# C Comparison with Predicate(s):
The subject device is similar to the predicate, having similar indications for use, intended use and technological characteristics as its predicate devices, with the exception of the implementation of a PCCP that specifies the protocols and acceptance criteria for validating and adding additional FDA cleared scanners and file formats and additional FDA cleared pathology displays as interoperable components to the Concentriq AP-Dx in a controlled manner, such that the device is as safe and as effective as the predicate devices. The description of the planned modifications, testing methods, validation activities, performance requirements, and communication to users are part of the device quality system and are summarized below.
# Planned modifications by PCCP
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a. Additional Scanners and File Formats:
To include additional FDA cleared scanners (candidate) and associated file formats, the candidate scanners will be verified and validated in accordance with the requirements outlined in the PCCP protocol. Additional FDA cleared file formats of the scanner will be verified and validated through pixel-wise comparison testing which should demonstrate that the new FDA-cleared scanner and associated file format produce images that are identical to those generated by the predicate device. Upon successful validation, the design change will be implemented according to the quality management system, and the new scanner and associated file formats may be added as an interoperable component to the Concentriq AP-Dx without additional premarket review. Labeling will be updated in accordance with the authorized PCCP to provide users with current information regarding the device's compatible scanner hardware.
b. Additional Displays:
To include additionally FDA-cleared displays, the candidate displays will be verified and validated in accordance with a system-level integration test which will be conducted to confirm that the new display functions adequately with the complete WSI system, including the original scanner and viewer components. If the candidate display meets the acceptance criteria specified in the PCCP, the design change will be implemented according to the quality management system and the new display may be added as an interoperable component to the subject device without additional premarket review. Following successful validation, the device labeling will be updated in accordance with the authorized PCCP to ensure that users are provided with accurate and current information regarding display interoperability. The device labeling and company website will be revised to identify the new display according to the quality management system.
The similarities and differences between the Concentriq AP-Dx and the predicate devices, Aperio GT 450 DX Concentriq Dx, are summarized in Table 3 below.
Table 3: Comparison with Predicates
| Device & Predicate Device(s): | Subject Device K261380 | Predicate Device K232202 | Predicate Device K230839 |
| --- | --- | --- | --- |
| Device Trade Name | Concentriq AP-Dx | Aperio GT 450 DX | Concentriq Dx |
| General Device Characteristic Similarities | | | |
| Intended Use/Indications For Use | Concentriq AP-Dx is a software only device intended for viewing and management of digital images of scanned surgical pathology slides prepared from formalin-fixed paraffin embedded (FFPE) tissue. It is an aid to the pathologist to | The Aperio GT 450 DX is an automated digital slide creation and viewing system. The Aperio GT 450 DX is intended for in vitro diagnostic use as an aid to the pathologist to review and interpret digital images of surgical pathology slides prepared from formalin-fixed | Concentriq Dx is a software only device intended for viewing and management of digital images of scanned surgical pathology slides prepared from formalin-fixed paraffin embedded (FFPE) tissue. It is an aid to the pathologist to review, interpret |
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| | review, interpret and manage these digital slide images for the purpose of pathology primary diagnosis. Concentriq AP-Dx is not intended for use with frozen sections, cytology, or non-FFPE hematopathology specimens. It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the quality of the images obtained and the validity of the interpretation of images using Concentriq AP-Dx. | paraffin embedded (FFPE) tissue. The Aperio GT 450 DX is for creation and viewing of digital images of scanned glass slides that would otherwise be appropriate for manual visualization by conventional light microscopy. Aperio GT 450 DX is comprised of the Aperio GT 450 DX scanner, which generates images in the Digital Imaging and Communications in Medicine (DICOM) and in the ScanScope Virtual Slide (SVS) file formats, the Aperio WebViewer DX viewer, and the displays. The Aperio GT 450 DX is intended to be used with the following interoperable components: | and manage these digital slide images for the purpose of primary diagnosis. Concentriq Dx is not intended for use with frozen sections, cytology, or non-FFPE hematopathology specimens. It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the quality of the images obtained and the validity of the interpretation of images using Concentriq Dx. Concentriq Dx is intended for use with the Hamamatsu NanoZoomer S360MD Slide scanner and JVC JD-C240BN01A monitor. |
| --- | --- | --- | --- |
| Scanner Hardware | Scanner Output file format | Interoperable Viewing Software | Interoperable Displays |
| Aperio GT 450 DX scanner | SVS | Aperio WebViewer DX | Barco MDPC8127 Dell UP3017 Dell U3023E Dell U3223QE |
| Aperio GT 450 DX scanner | SVS | Sectra Digital Pathology Module (3.3) | Dell U3223QE |
| Aperio GT 450 DX scanner | DICO M | Sectra Digital Pathology Module (3.3) | Dell U3223QE |
| The Aperio GT 450 DX is not intended for use with frozen section, cytology, or non-FFPE hematopathology specimens. It is the responsibility of a qualified pathologist to employ appropriate procedures and safeguards to assure the validity of the interpretation of images obtained using the Aperio GT 450 DX. |
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| General Device Characteristic Differences | | | |
| --- | --- | --- | --- |
| Device Components | Image Management Software | Scanner, Image Management Software, Display | Image Management Software |
| User Interface | Concentriq AP-Dx | NZViewMD | Concentriq Dx |
### VI Standards/Guidance Documents Referenced:
1. For evaluation of risk and risk management the sponsor referred to ANSI AAMI ISO, 14971: 2019, Medical devices - Applications of risk management to medical devices.
2. For the human factors validation, the sponsor referenced the 2016 FDA guidance “Applying Human Factors and Usability Engineering to Medical Devices” and ANSI AAMI IEC, 62366-1:2015+AMD1:2020 (Consolidated Text), Medical devices Part 1: Application of usability engineering to medical devices including Amendment 1.
3. For performance evaluation, the sponsor referred to the 2025 FDA guidance “Technical Performance Assessment of Digital Pathology Whole Slide Imaging Devices, Guidance for Industry and Food and Drug Administration Staff” and CIE ISO 11664-6 First edition 2014-02-01.
4. For cybersecurity evaluation, the sponsor referred to the 2025 FDA guidance “Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions, Guidance for Industry and Food and Drug Administration Staff”.
### VII Performance Characteristics (if/when applicable):
#### A Analytical Performance:
1. Precision/Reproducibility:
Not applicable
2. Linearity:
Not applicable
3. Analytical Specificity/Interference:
Not applicable
4. Accuracy:
Not applicable
#### B Other Supportive Instrument Performance Characteristics Data:
Technical performance testing was conducted with the subject device, Concentriq AP-Dx as specified below.
##### 1. Pixel-wise Comparison Testing
Pixel-wise comparison testing was performed to support Aperio GT 450 DX and NanoZoomer S360MD Slide scanner as interoperable components to Concentriq AP-Dx.
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Concentriq AP-Dx supports multiple file formats, multiple browsers, and multiple displays, constituting various configurations to be tested. Pixel-wise comparison testing to demonstrate identical image reproduction was conducted to compare WSIs reproduced by the subject device and the comparators as listed in Table 4 below. The subject device was compared to the predicate device's image review manipulation software (IRMS), as defined in FDA guidance document, "Technical Performance Assessment of Digital Pathology Whole Slide Imaging Devices" dated April 20, 2016) using the quantitative pixel-wise comparison method. The basis for the comparison was the CIEDE2000 color difference equation, ΔE00. The devices were tested as operating with the intended components, including the scanner, specific file format, image management systems (subject device with the intended browsers, comparator [predicate device IRMS]) and displays, as specified in the Table 4 below.
For each of the 4 configurations in Table 4 below, the device was tested with multiple slides across multiple regions of interest (ROI) at multiple magnification levels, on multiple displays. A total of 30 H&E-stained, FFPE glass slides from various intended use tissue samples were used in the testing. For each configuration, the glass slides were scanned on a corresponding intended scanner to obtain 30 WSIs. For each of the 30 WSIs, 3 ROIs from different locations were selected by qualified personnel to represent various features in the tissue samples. Each ROI was captured at 2 magnification levels (20x, 40x).
The screenshots were captured for each of the intended display while viewing with the subject device and predicate device IRMS. The screenshots were cropped and registered to be pixelwise comparable. The cropped image included most of the pixels in the image except for those in the viewer-specific user interface areas.
For each configuration and each intended display, two sets of images were collected: comparator (predicate device IRMS) and the subject device (Concentriq AP-Dx with the intended browser). Each image set included 180 images that covered all combinations of 30 slides, 3 ROIs and 2 magnification levels. The testing data, including the overview images of the 30 glass slides with annotations of the ROIs, registration/cropping information, and captured images, were provided in the FDA specific format. The above procedure was repeated for each corresponding intended display.
The comparator (predicate device IRMS) image set was used as the reference to compare the subject device image set to determine whether all the 180 image-pairs were identical for each configuration and each intended display. Two images are considered identical if the 95th percentile of the pixelwise differences, computed using the International Commission on Illumination (CIE) color difference metric CIEDE2000 (ΔE00), is less than 3 ΔE00.
The sponsor utilized the Image Integrity Evaluation System (IVIES) Medical Device Development Tool (MDDT) to calculate the pixelwise color difference using the CIEDE2000 (ΔE00) metric [Image Viewer Integrity Evaluation System (IVIES)].
Testing results showed that the pixelwise differences across all 180 image-pairs per configuration and per intended display were less than 3 ΔE00. The maximum (max), minimum (min), and mean of the 95th percentile ΔE00 value were reported. Testing
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results demonstrated that WSIs reproduced by HALO AP Dx are identical to images reproduced by the predicate devices.
Table 4: Concentriq AP-Dx Pixelwise Comparison Testing Results
| Scanner | Image File Format | Subject Device | Comparator (Predicate Device IRMS/Browser) | Display | Browser | Results of 95^{th} percentile ΔE_{00} Maximum, Minimum, Mean |
| --- | --- | --- | --- | --- | --- | --- |
| Aperio GT 450 Dx | SVS | Concentriq AP-Dx | Aperio WebViewer DX (cleared under K232202) | Dell U3223QE | Chrome | 2.72, 1.31, 2.02 |
| | | | | | Edge | 2.72, 1.31, 2.02 |
| Hamamatsu NanoZoomer S360MD | NDPI | Concentriq AP-Dx | Concentriq DX (cleared under K230839) | JVC-C240BN01A | Chrome | 1.66, 0.71, 0.31 |
| | | | | | Edge | 1.66, 0.71, 0.31 |
## 2. Measurement – Distance and Area
Measurement accuracy testing was conducted to demonstrate that spatial measurements made using the Concentriq-AP-Dx annotation tools accurately measure distance and area by comparing the measurements of markings made in the Concentriq AP-Dx viewer to the measurements of markings on a calibrated slide with known dimensions. Distance measurements included horizontal, vertical, and orthogonal lengths. Areas included rectangular annotations spanning clearly defined marks on the horizontal and vertical axes of the reticle slide. Screenshots of the distance and area measurements at two magnifications (10x and 40x or 20x and 40x, respectively) were captured. The test data showed that the difference between distance and area measurements made in the Concentriq AP-Dx and the ground truth was less than the acceptance criteria (1%). These results, summarized in Table 5 below, demonstrated acceptable measurement accuracy with respect to its intended use.
Table 5: Concentriq AP-Dx Measurement Test Results
| Scanner | Image File Format | Subject Device/Browser | Percentage Error (%) Compared to Ground Truth | |
| --- | --- | --- | --- | --- |
| | | | Length Measurement | Area Measurement |
| Leica Aperio GT 450 DX scanner | SVS | Concentriq AP-Dx / Chrome | ≤ 1% | ≤ 1% |
| Hamamatsu NanoZoomer S360MD | NDPI | Concentriq AP-Dx / Chrome | ≤ 1% | ≤ 1% |
## 3. Turnaround Time Testing
Turnaround time testing was conducted to measure the time needed by Concentriq AP-Dx to conduct the load, panning, and zooming operations. A total of 9 test SVS images of 3 different sizes, derived from H&E-stained FFPE tissue were used for testing. The testing was performed across both Chrome and Edge browsers. The objective level for all test images was 40x for the zooming feature to operate between 20x and 40x. The Hamamatsu
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NanoZoomer S360MD was not included in the testing because individual tiles generated by Concentriq AP-Dx's Image Ingestion Service are in the same file format, regardless of the original image format from the scanner. The test execution demonstrated maximum turnaround times of less than 2 seconds across all scenarios. These results are summarized in Table 6 below.
Table 6: Concentriq AP-Dx Turnaround Time Testing Results
| Scanner | Image File Format | Subject Device/Browser | Results (Seconds) | | |
| --- | --- | --- | --- | --- | --- |
| | | | Loading (sec) Max, Min, Mean | Panning (sec) Max, Min, Mean | Zooming (sec) Max, Min, Mean |
| Leica Aperio GT 450 DX scanner | SVS | Concentriq AP-Dx / Chrome | 0.389 | 1.430 | 1.218 |
| | | | 0.242 | 1.181 | 1.181 |
| | | | 0.319 | 1.208 | 1.196 |
| | | Concentriq AP-Dx / Edge | 0.617 | 1.437 | 1.217 |
| | | | 0.248 | 1.181 | 1.181 |
| | | | 0.339 | 1.208 | 1.197 |
### 4. Human Factors Study
No new human factors study was performed for Concentriq AP-Dx since it was previously conducted in K230839.
### 5. Software and cybersecurity
Software and cybersecurity documentation was reviewed and found to be acceptable.
### VIII Pre-determined Change Control Plan (PCCP)
Proscia Inc. provided a PCCP (version 01) which will be followed to validate interoperability of additional FDA-cleared scanners and displays with the Concentriq AP-Dx, including specific performance requirements that must be met prior to updating the device labeling to reference the newly added scanners or displays. The PCCP also includes verification that any display-specific software will not impact performance of the Concentriq AP-Dx. With inclusion of the PCCP, future changes to add additional FDA-cleared scanners and displays to the labeling can be made in accordance with the PCCP without a premarket submission. The Proscia Inc. website will provide information on additional scanners and displays that are interoperable with Concentriq AP-Dx and allow users to request updated versions of the system labeling.
### IX Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
### X Conclusion:
The submitted information in this premarket notification supports a substantial equivalence decision.
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Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.