aPROMISE X 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 X is a software-only medical image management and processing system for oncology. It accepts PSMA PET/CT DICOM images via manual upload or direct PACS integration. The system provides a 4-panel viewer (PET, CT, fusion, MIP) for clinicians to review studies. It features an AI-enabled automated segmentation model for skeleton and soft tissue organs and a machine-learning algorithm to detect high-intensity regions of interest (hotspots) in PET data. Users review these hotspots, manually adjust or confirm them, and perform quantitative analysis (SUVmax, SUVmean, SUVpeak, Volume, LI, ITLV). The device is used in clinical settings by healthcare professionals. It facilitates clinical decision-making by providing reproducible, efficient quantitative assessments of tracer uptake. The output is a signed report exported as JPG or DICOM, aiding in the identification and reporting of suspicious lesions.
Clinical Evidence
Bench testing only. Digital phantom validation confirmed accuracy, linearity, and limit of detection for SUV and volume metrics. Comparison to predicate (K211655) demonstrated equivalent performance in marking and quantitative assessment. An analytical performance study showed the device enables more reproducible and efficient quantification compared to manual methods while maintaining diagnostic performance.
Technological Characteristics
Software-only medical image management system. Operates on Windows/macOS via Chrome browser. Deployed via cloud or local server. Complies with DICOM 3 standard. Features AI-enabled automated segmentation of skeleton/soft tissue and machine-learning based hotspot detection. Quantifies SUV metrics (max, mean, peak, volume, LI, ITLV). No patient-contacting components; no electrical/EMC requirements.
Indications for Use
Indicated for healthcare professionals and researchers for the management, display, and quantitative analysis of PSMA PET/CT nuclear medicine images in oncology patients.
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).
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EXINI Diagnostics AB % Donna-Bea Tillman, Ph.D. Senior Consultant Biologics Consulting Group, Inc. 1555 King Street. Suite 300 ALEXANDRIA VA 22314
Re: K220590
Trade/Device Name: aPROMISE X Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: February 28, 2022 Received: March 1, 2022
Dear Donna-Bea 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 and Part 809); medical device reporting of medical device-related adverse events) (21 CFR
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803) for 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 medical devices and radiation-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,
Julie Sullivan, Ph.D. Assistant Director Nuclear Medicine and Radiation Therapy Branch 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
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## Indications for Use
510(k) Number (if known) K220590
Device Name aPROMISE X
### Indications for Use (Describe)
aPROMISE X is intended to be used by healthcare professionals and researchers for acceptance, 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) | |
|-------------------------------------------------|---------------------------------------------|
| X Prescription Use (Part 21 CFR 801 Subpart D) | Over-The-Counter Use (21 CFR 801 Subpart C) |
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In accordance with 21 CFR 807.87(h) and 21 CFR 807.92 the 510(k) Summary for aPROMISE X is provided below.
#### 1. SUBMITTER
### K220590
| 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: | February 28, 2022 |
### 2. DEVICE
| Device Trade Name: | aPROMISE X |
|----------------------|-------------------------------------------------------------------|
| 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 aPROMISE (K211655)
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### DEVICE DESCRIPTION 4.
aPROMISE (automated PROstate specific Membrane Antigen Imaging SEgmentation) X is an updated version of previously cleared device, aPROMISE v 1.2.1 (K211655), 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 platform has two installation configurations: either deployed to a cloud infrastructure or to a local server at a clinical facility. The software platform can communicate via http-protocol as described in part 18 of the DICOM standard. This compatibility enables direct transmission of DICOM data from a PACS to aPROMISE X. Manual upload via aPROMISE X user interface is also supported. 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.
### INTENDED USE/INDICATIONS FOR USE 5.
aPROMISE X 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
aPROMISE X and the predicate aPROMISE have identical Indication for Use statements.
## Technological Comparisons
The table below compares the key technological feature of the subject device aPROMISE X to the predicate devices, Exini aPromise (K211655).
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| Specification/<br>Characteristic | aPROMISE X<br>(proposed device) | aPROMISE 1.2.1<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 | Web-based service<br>accessed through cloud<br>infrastructure or local<br>server network with<br>personal log-in. | Web-based service<br>accessed through cloud<br>infrastructure with<br>personal log-in. | Equivalent<br>The difference involves an<br>additional option for product<br>deployment. The difference<br>does not affect the clinical use<br>of the device and does not raise<br>different questions of safety or<br>effectiveness. |
| 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>● PET<br>● CT | No difference |
| Image upload | Via file selector or drag<br>and drop from a local<br>computer or network.<br>Upload can handle zip<br>files. Semiautomatic<br>transfer via http-<br>protocol enabling direct<br>transmission of DICOM<br>data if integrated with a<br>PACS. | Via file selector or drag<br>and drop from a local<br>computer or network.<br>Upload can handle zip<br>files. | Equivalent<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 one at a time. | Yes, multiple scans can<br>be analyzed one at a time. | No difference |
| Specification/<br>Characteristic | aPROMISE X<br>(proposed device) | aPROMISE 1.2.1<br>(predicate device) | Comparison to predicate |
| Colormaps | A selection of commonly<br>used colormaps<br>supported:<br>For PET image:<br>• Cool<br>• Inverted<br>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>For PET image:<br>• Cool<br>• Inverted<br>grayscale<br>• Grayscale with<br>overflow<br>• Hot Iron<br>• Spectrum<br>• Warm<br>For CT image:<br>• Grayscale | No difference |
| 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 or<br>selection form a drop-<br>down menu for PET.<br>Click'n'drag or selection<br>from a drop-down menu<br>for CT | Manual adjustment of<br>windowing. Slider or<br>selection form a drop-<br>down menu for PET.<br>Click'n'drag or selection<br>from a drop-down menu<br>for CT | No difference |
| 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 | 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 | No difference |
| 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 if the user turns on<br>the hotspot segmentation<br>display option from the<br>control panel resulting in | Segmented hotspots can<br>be displayed in planar<br>views if the user turns on<br>the hotspot segmentation<br>display option from the<br>control panel resulting in | No difference |
| Specification/<br>Characteristic | aPROMISE X<br>(proposed device) | aPROMISE 1.2.1<br>(predicate device) | Comparison to predicate |
| | visually presenting pre-<br>defined hotspots in the<br>viewer. | visually presenting pre-<br>defined hotspots in the<br>viewer. | |
| Organ<br>Segmentation | AI enabled automated<br>segmentation of skeleton<br>and soft tissue organs. | AI enabled automated<br>segmentation of skeleton<br>and soft tissue organs. | Equivalent<br>The option to segment the<br>prostate is removed since it is<br>no longer needed as a result of<br>the new hotspot detection<br>model. The difference does not<br>affect the clinical use of the<br>device and does not raise<br>different question of safety or<br>effectiveness. |
| Pre-definition of<br>Hotspot | Algorithm, using a<br>machine-learning model<br>to detect high local<br>intensity regions of<br>interest in the PET series. | Algorithm, using an<br>analytical model to<br>detect high local intensity<br>regions of interest in the<br>PET series. | Equivalent<br>Same feature but adjusted<br>method for the detection of high<br>local intensity regions to<br>segment as hotspots. 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. |
| Hotspot pre-<br>selection | No hotspot pre-selection<br>occurs. It is always the<br>user who needs to select<br>hotspots to include for<br>quantification and<br>reporting. All detected<br>high local intensity ROIs<br>can be shown for review<br>by the user. | No hotspot pre-selection<br>occurs. It is always the<br>user who needs to select<br>hotspots to include for<br>quantification and<br>reporting. All detected<br>high local intensity ROIs<br>can be shown for review<br>by the user. | No difference |
| 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. | 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. | No difference |
| Hotspot<br>Quantification | Standard Uptake Values<br>(SUV):<br>-SUV-max | Standard Uptake Values<br>(SUV):<br>-SUV-max | No difference |
| Specification/<br>Characteristic | aPROMISE X<br>(proposed device) | aPROMISE 1.2.1<br>(predicate device) | Comparison to predicate |
| | -SUV-mean<br>-SUV-peak<br>-Volume<br>-Lesion Index (LI)<br>-Intensity-weighted<br>Tissue Lesion Volume<br>(ITLV) | -SUV-mean<br>-SUV-peak<br>-Volume<br>-Lesion Index (LI)<br>-Intensity-weighted<br>Tissue Lesion Volume<br>(ITLV) | |
| Quality Control | SW enforced requirement<br>to verify the user review<br>of<br>- Image quality<br>- PET/CT image<br>- Patient study data<br>- Reference values<br>- Study is not a superscan | SW enforced requirement<br>to verify the user review<br>of<br>- Image quality<br>- PET/CT image<br>- Patient study data<br>- Reference values<br>- Study is not a superscan | No difference |
| User<br>confirmation for<br>report generation | User completion of the<br>Quality Control and<br>report preview<br>confirmation by<br>electronic signature using<br>user-ID and password is<br>required for report<br>creation | User completion of the<br>Quality Control and<br>report preview<br>confirmation by<br>electronic signature using<br>user-ID and password is<br>required for report<br>creation | No difference |
| Report (Summary<br>page export) | The user can export the<br>report with quantification<br>results of a study to the<br>hard drive (jpg or<br>DICOM Secondary<br>Capture) or PACS<br>(DICOM Secondary<br>Capture). | The user can export the<br>report with quantification<br>results of a study to the<br>hard drive (jpg or<br>DICOM Secondary<br>Capture. | No difference |
| CSV export | Supports export of study<br>and quantification values<br>as a CSV file for all<br>created reports | Supports export of study<br>and quantification values<br>as a CSV file for all<br>created reports | No difference |
#### Table 1: Technological Comparison
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### 7. PERFORMANCE DATA
## Sterilization and Shelf Life
aPROMISE X 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.
# 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 X against the known values of a digital reference object (NEMA phantom). All SUV and volume quantification tests of aPROMISE X met their predetermined acceptance criteria.
- . Comparison to Predicate. This study demonstrated the equivalent performance of aPROMISE X as compared to the previous version, predicate aPROMISE v1.2.1 (K211655) 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 X to that of clinicians and demonstrated that aPROMISE X enables the automated quantification of tracer uptake are more reproducible, and efficient than those obtained manually. The study demonstrated that aPROMISE X enables the reader to achieve a higher efficiency and quantitative consistency, while maintaining the diagnostic performance of the physicians.
These results demonstrate that aPROMISE X performs in accordance with specifications and meets user needs and intended uses.
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# 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. Software verification and performance testing demonstrate that the device performs according to the device requirements. Therefore, the aPROMISE X device can be found substantially equivalent to the predicate device.
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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.