AI/ML, Software as a Medical Device, Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K260879 · Sep 10, 2026
4DM
INVIA, LLC
Retrospective clinical patient studies
Retrospective analysis of clinical patient data was used to validate the performance of deep learning algorithms (DLAC, Sarcoid-DL, CT-DL, MBF-DL) by comparing outputs against standard-of-care or manually defined segmentations/masks.
Retrospective analysis; Deep learning validation; Clinical patient care data
4DM is a software application used by medical professionals to analyze and report nuclear medicine, PET, CT, MR and hybrid patient studies to support their assessment of a patient's cardiac health. 4DM provides tools to process, review, quantify, and display static, whole body, dynamic, gated planar, standard ungated ECT images, ECG gated ECT images, and dynamic ECT images. 4DM software performs quantification and enables: Assessment of Cardiac Function with Nuclear Myocardial Perfusion Imaging Quantify ventricular function (e.g. volumes, ejection fraction, diastolic) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images. Quantify regional ventricular function (e.g. wall motion, thickening, contractility) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images. Assessment of Cardiac Function with Nuclear Gated Blood Pool Imaging Quantify ventricular volumes and the ejection fraction (EF) from gated ECT blood pool images. Quantify ejection fraction (EF) from planar gated blood pool images. Assessment of Myocardial Perfusion with Nuclear Myocardial Perfusion Imaging Quantify regional relative myocardial perfusion with comparison to normal limits for interpretation of perfusion abnormalities by the Clinician. Provide semi-quantitative segmental myocardial perfusion scoring using standard segmental overlay(s). Quantify transient ischemic dilation from stress-rest myocardial perfusion images. Assessment of Myocardial Blood Flow with Nuclear Cardiology Imaging Quantify and display myocardial blood flow and flow reserve from SPECT or PET dynamic sequences. Assessment of Myocardial Viability with Nuclear Cardiology Imaging Quantify regional perfusion and metabolic radiotracer uptake for the interpretation of viable myocardium by the Clinician. Assessment of Inflammation and Infection with Nuclear Cardiology Imaging Quantify regional radiotracer uptake for the review and interpretation of the presence of inflammation and infection in the heart and body by the Clinician. Assessment of Cardiac Coronary Calcium with CT Imaging Quantify the presence of calcium in the coronary vessels for review and interpretation by the Clinician. SPECT Image Reconstruction Motion correction of SPECT tomographic projection images for patient or organ motion. Image reconstruction of SPECT tomographic projection images with post reconstruction filtering and reorientation. 4DM shall be used by qualified medical professionals. It does not provide diagnoses or therapeutic recommendations but is instead a visual and quantitative aid.
Device Story
4DM is a software application for processing, reviewing, and quantifying cardiac imaging data (nuclear medicine, PET, CT, MR). It accepts static, dynamic, and gated images as input. The device uses standard algorithms and optional deep learning (DL) modules to perform image reconstruction, motion correction, segmentation, and quantification of cardiac parameters (e.g., ejection fraction, myocardial blood flow, calcium scoring). It is used by qualified medical professionals in clinical settings as a visual and quantitative aid; it does not provide automated diagnoses or therapeutic recommendations. Output is displayed to the clinician for interpretation and can be exported as reports or image files. The device assists in clinical decision-making by providing quantitative metrics for perfusion, function, and viability, potentially improving diagnostic accuracy and efficiency.
Clinical Evidence
No clinical data was necessary. Performance was established via non-clinical bench testing using retrospective analysis of human image data. Validation included quantitative performance comparisons (AUC, Dice scores, VOI comparisons) against standard-of-care methods across multiple datasets (e.g., 4,074 studies for DLAC, 341 for Sarcoid-DL, 332 for CT-DL, 4,305 for MBF-DL). All tests met acceptance criteria.
Technological Characteristics
Software as a Medical Device (SaMD). Features standard image processing algorithms and optional deep learning (DL) modules. Connectivity includes DICOM compliance for image data and HL7 for reporting. Operates on standard hardware platforms. Software verification/validation per IEC 62304; risk management per ISO 14971; usability per IEC 62366-1.
Indications for Use
Indicated for adult patients (22+ years) requiring analysis and reporting of nuclear medicine, PET, CT, MR, and hybrid cardiac studies to support assessment of cardiac health, including function, perfusion, viability, inflammation, infection, and coronary calcium quantification.
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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FDA U.S. FOOD & DRUG
ADMINISTRATION
September 10, 2026
INVIA, LLC
% Harrison Emery
Consultant
Emergo by UL
2500 Bee Caves Rd.
Bldg. 1, Suite 300
Austin, Texas 78746
Re: K260879
Trade/Device Name: 4DM
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical Image Management And Processing System
Regulatory Class: Class II
Product Code: QIH, LLZ
Dated: May 11, 2026
Received: May 11, 2026
Dear Harrison Emery:
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 (the 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 available 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
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K260879 - Harrison Emery
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Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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 (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn
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K260879 - Harrison Emery
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(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-devices/device-advice-comprehensive-regulatory-assistance/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,
Daniel M. Krainak, Ph.D.
Assistant Director
DHT8C: Division of Radiological
Imaging and Radiation Therapy Devices
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K260879 | ? |
| Please provide the device trade name(s). | | ? |
| 4DM | | |
| Please provide your Indications for Use below. | | ? |
| 4DM is a software application used by medical professionals to analyze and report nuclear medicine, PET, CT, MR and hybrid patient studies to support their assessment of a patient's cardiac health. | | |
| 4DM provides tools to process, review, quantify, and display static, whole body, dynamic, gated planar, standard ungated ECT images, ECG gated ECT images, and dynamic ECT images. | | |
| 4DM software performs quantification and enables:Assessment of Cardiac Function with Nuclear Myocardial Perfusion ImagingQuantify ventricular function (e.g. volumes, ejection fraction, diastolic) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images.Quantify regional ventricular function (e.g. wall motion, thickening, contractility) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images.Assessment of Cardiac Function with Nuclear Gated Blood Pool ImagingQuantify ventricular volumes and the ejection fraction (EF) from gated ECT blood pool images.Quantify ejection fraction (EF) from planar gated blood pool images.Assessment of Myocardial Perfusion with Nuclear Myocardial Perfusion ImagingQuantify regional relative myocardial perfusion with comparison to normal limits for interpretation of perfusion abnormalities by the Clinician.Provide semi-quantitative segmental myocardial perfusion scoring using standard segmental overlay(s).Quantify transient ischemic dilation from stress-rest myocardial perfusion images.Assessment of Myocardial Blood Flow with Nuclear Cardiology ImagingQuantify and display myocardial blood flow and flow reserve from SPECT or PET dynamic sequences.Assessment of Myocardial Viability with Nuclear Cardiology ImagingQuantify regional perfusion and metabolic radiotracer uptake for the interpretation of viable myocardium by the Clinician.Assessment of Inflammation and Infection with Nuclear Cardiology ImagingQuantify regional radiotracer uptake for the review and interpretation of the presence of inflammation and infection in the heart and body by the Clinician.Assessment of Cardiac Coronary Calcium with CT ImagingQuantify the presence of calcium in the coronary vessels for review and interpretation by the Clinician.SPECT Image ReconstructionMotion correction of SPECT tomographic projection images for patient or organ motion.Image reconstruction of SPECT tomographic projection images with post reconstruction filtering and | | |
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reorientation.
4DM shall be used by qualified medical professionals. It does not provide diagnoses or therapeutic recommendations but is instead a visual and quantitative aid.
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
| --- | --- | --- |
| Please select the age group(s) for which the device(s) is to be used. | ☐ Neonates/Newborns (Birth to < 29 days old) ☐ Infants (29 days old to < 2 years old) ☐ Children (2 years old to < 12 years old) ☐ Adolescents (12 years old to < 22 years old) ☑ Adults (22 years old and greater) | ? |
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# 510(k) Summary
## 4DM
K260879
1. Submission Sponsor
INVIA, LLC
8192 Jackson Road
Ann Arbor, MI 48103
United States
Contact: Edward Ficaro
Email: edificaro@inviasolutions.com
2. Submission Correspondent
Emergo by UL
2500 Bee Cave Road
Building 1, Suite 300
Austin, TX 78746
Contact: Harrison Emery
Office Phone: (512) 327-9997
Email: LST.US.EmergoFDASubmissions@ul.com
3. Date Prepared
September 9, 2026
4. Device Identification
Trade/Proprietary Name: 4DM
Common/Usual Name: Medical image management and processing system
Regulation Number(s): 892.2050
Product Code(s): QIH, LLZ
Class: Class 2
Classification Panel: Radiology
5. Legally Marketed Predicate and Reference Devices
The predicate device is Corridor4DM, and the subject device is an updated version of the predicate. Additionally, a reference device was utilized. These devices are summarized in the following table.
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| Device | Type | 510(k) | Manufacturer | Product Code(s) |
| --- | --- | --- | --- | --- |
| Corridor4DM | Predicate | K101279 | INVIA, LLC | KPS, JAK, LLZ |
| Cvi42 | Reference | K242781 | Circle Cardiovascular Imaging, Inc | QIH, LLZ |
## 6. Device Description
4DM is a software application (software as a medical device) that provides image review and clinical reporting of radiographic imaging data. It is used by trained medical professionals to support their assessment of cardiac health. The software does not provide any diagnoses or therapeutic recommendations. Rather, it serves only as a visual and quantitative aid to assist medical professionals in their diagnoses.
4DM is a comprehensive application designed to process, review, and quantitatively analyze nuclear medicine, PET, CT and MR patient studies. The application provides tools to process, quantify, and display static, whole body, dynamic, gated planar, standard ungated ECT images, ECG gated ECT images, and dynamic ECT images. It is used to allow a physician to assess cardiac health in patients. It does not provide any diagnoses or therapeutic recommendations but is instead a visual and quantitative aid.
4DM allows users to save and export findings in a variety of formats. The application generates DICOM multi-frame (MFSC) and secondary screen captures (SSC), in addition to producing static (JPEG, TIFF) and dynamic (WMV) image files. The user can export results to a relational database, XML, and text-formatted reports for data analysis.
4DM is not intended to provide diagnoses or therapeutic recommendations but is intended to be a visual and quantitative aid for use by trained medical professionals. The Clinician should never rely solely on the software in making diagnostic or therapeutic decisions, nor should the Clinician rely on the software to determine the presence or absence of a condition. Rather, the Clinician should interpret the entirety of the patient's clinical and diagnostic information before making a final diagnosis. The Clinician retains the ultimate responsibility for making a diagnosis.
The 4DM application can be used to do the following:
• Radiographic Image Review
○ Standard Nuclear Cardiology Image review for
■ Static, gated, and dynamic ECT (SPECT and PET) radiotracer (perfusion, metabolism, inflammation) studies of all types.
■ Quality control review of SPECT projection data (e.g. patient motion, ECG gating errors).
■ Gated blood pool SPECT studies.
■ Gated blood pool planar studies (MUGA).
○ Provide Standard Nuclear Medicine Image review for
■ Static, gated, and dynamic nuclear medicine ECT (SPECT and PET) images
■ Static, gated, and dynamic nuclear medicine planar images
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- ○ Radiographic Review of CT Images
- ○ Hybrid Image Review Screens • Fusion of volumetric radiographic images (NM, PET, CT, MR)
- ○ Fusion of calcium and/or coronary vessels to volumetric rendered images.
- ○ Review single and multi-frame DICOM screen capture files.
- ○ Review of DICOM encapsulated PDF reports
- ● Radiographic Image Quantification
- ○ Assessment of Cardiac Function with Nuclear Myocardial Perfusion Imaging
- ▪ Quantify ventricular function (e.g. volumes, ejection fraction, diastolic) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images.
- ▪ Quantify regional ventricular function (e.g. wall motion, thickening, contractility) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images.
- ○ Assessment of Cardiac Function with Nuclear Gated Blood Pool Imaging
- ▪ Quantify ventricular volumes and the ejection fraction (EF) from gated ECT blood pool images.
- ▪ Quantify ejection fraction (EF) from planar gated blood pool images.
- ○ Assessment of Myocardial Perfusion with Nuclear Myocardial Perfusion Imaging
- ▪ Quantify regional relative myocardial perfusion with comparison to normal limits for interpretation of perfusion abnormalities by the Clinician.
- ▪ Provide semi-quantitative segmental myocardial perfusion scoring using standard segmental overlay(s).
- ▪ Quantify transient ischemic dilation from stress-rest myocardial perfusion images.
- ○ Assessment of Myocardial Blood Flow with Nuclear Cardiology Imaging
- ▪ Quantify and display myocardial blood flow and flow reserve from SPECT or PET dynamic sequences.
- ○ Assessment of Myocardial Viability with Nuclear Cardiology Imaging
- ▪ Quantify regional perfusion and metabolic radiotracer uptake for the interpretation of viable myocardium by the Clinician.
- ○ Assessment of Inflammation and Infection with Nuclear Cardiology Imaging
- ▪ Quantify regional radiotracer uptake for the review and interpretation of the presence of inflammation and infection in the heart and body by the Clinician.
- ○ Assessment of Cardiac Coronary Calcium with CT Imaging
- ▪ Quantify the presence of calcium in the coronary vessels for review and interpretation by the Clinician.
- ○ SPECT Image Reconstruction
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- Motion correction of SPECT tomographic projection images for patient or organ motion.
- Image reconstruction of SPECT tomographic projection images with post reconstruction filtering and reorientation.
- Clinical Reporting
- Provide a reporting interface to enter clinical information specific to the patient's exam.
- Provide the ability to create custom formatted reports based on clinical information and imaging findings.
- Export imaging results and/or patient information in various formats (e.g. screen capture, saved result files, HL7 elements) for archive or use by other 3rd party applications (e.g. EMR, PACS).
4DM introduces optional deep learning functionalities, specifically:
- Deep learning (DL) attenuation correction algorithm for SPECT myocardial perfusion imaging (DLAC)
- DL estimation of attenuation corrected SPECT perfusion polar maps from uncorrected (no attenuation correction) relative perfusion polar maps.
- DL left ventricular segmentation algorithm for cardiac PET metabolic imaging (Sarcoid-DL)
- DL estimation of LV surfaces from metabolic images, e.g. sarcoidosis, for the co-registration of perfusion and metabolic images, the automated transfer of LV surfaces from perfusion to metabolic images, and the estimation of SUV based on DL-LV surfaces.
- DL algorithm for isolation of the heart from CT images (CT-DL)
- DL algorithm to isolate the heart from non-cardiac anatomical structures in a CT exam of the chest.
- DL Volumetric Blood Flow Images (MBF-DL)
- DL kinetic modeling using PET dynamic sequences to estimate blood flow at the pixel level to provide volumetric blood flow images of the heart.
- Construction of regional blood flow in 4DM's established polar map format for quantitative analysis and review.
# 7. Indication for Use Statement
4DM is a software application used by medical professionals to analyze and report nuclear medicine, PET, CT, MR and hybrid patient studies to support their assessment of a patient's cardiac health.
4DM provides tools to process, review, quantify, and display static, whole body, dynamic, gated planar, standard ungated ECT images, ECG gated ECT images, and dynamic ECT images.
4DM software performs quantification and enables:
- Assessment of Cardiac Function with Nuclear Myocardial Perfusion Imaging
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- ○ Quantify ventricular function (e.g. volumes, ejection fraction, diastolic) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images.
- ○ Quantify regional ventricular function (e.g. wall motion, thickening, contractility) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images.
- • Assessment of Cardiac Function with Nuclear Gated Blood Pool Imaging
- ○ Quantify ventricular volumes and the ejection fraction (EF) from gated ECT blood pool images.
- ○ Quantify ejection fraction (EF) from planar gated blood pool images.
- • Assessment of Myocardial Perfusion with Nuclear Myocardial Perfusion Imaging
- ○ Quantify regional relative myocardial perfusion with comparison to normal limits for interpretation of perfusion abnormalities by the Clinician.
- ○ Provide semi-quantitative segmental myocardial perfusion scoring using standard segmental overlay(s).
- ○ Quantify transient ischemic dilation from stress-rest myocardial perfusion images.
- • Assessment of Myocardial Blood Flow with Nuclear Cardiology Imaging
- ○ Quantify and display myocardial blood flow and flow reserve from SPECT or PET dynamic sequences.
- • Assessment of Myocardial Viability with Nuclear Cardiology Imaging
- ○ Quantify regional perfusion and metabolic radiotracer uptake for the interpretation of viable myocardium by the Clinician.
- • Assessment of Inflammation and Infection with Nuclear Cardiology Imaging
- ○ Quantify regional radiotracer uptake for the review and interpretation of the presence of inflammation and infection in the heart and body by the Clinician.
- • Assessment of Cardiac Coronary Calcium with CT Imaging
- ○ Quantify the presence of calcium in the coronary vessels for review and interpretation by the Clinician.
- • SPECT Image Reconstruction
- ○ Motion correction of SPECT tomographic projection images for patient or organ motion.
- ○ Image reconstruction of SPECT tomographic projection images with post reconstruction filtering and reorientation.
4DM shall be used by qualified medical professionals. It does not provide diagnoses or therapeutic recommendations but is instead a visual and quantitative aid.
## 8. Substantial Equivalence Discussion
The following table compares the 4DM to the predicate device with respect to indications for use. The second table compares the 4DM to the predicate and reference device in terms of principles of operation, technological characteristics, and performance. Note that materials are not applicable as all these devices
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are software as a medical device (SaMD). This comparison forms the basis for the determination of substantial equivalence. The subject device does not raise any new questions of safety or effectiveness as compared to the predicate device. Where relevant, reference device information is also provided. Note that some items were not assessed for the reference device as they are the same between the subject and predicate device.
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| Attribute | Subject: 4DM | Predicate: Corridor4DM K101279 | Comparison |
| --- | --- | --- | --- |
| **Indications for Use** | 4DM is a software application used by medical professionals to analyze and report nuclear medicine, PET, CT, MR, and hybrid patient studies to support their assessment of a patient’s cardiac health. 4DM provides tools to process, review, quantify, and display static, whole body, dynamic, gated planar, standard ungated ECT images, ECG gated ECT images, and dynamic ECT images. 4DM software performs quantification and enables: - Assessment of Cardiac Function with Nuclear Myocardial Perfusion Imaging - Quantify ventricular systolic function (volumes, ejection fraction) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images. - Quantify ventricular diastolic function (e.g. filling and emptying rates) from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images. - Quantify regional ventricular wall motion and wall thickening from radiotracer appropriate (e.g. perfusion, metabolism) gated ECT volumetric images. - Quantify regional ventricular contractile function for the assessment of regional synchrony. - Assessment of Cardiac Function with Nuclear Gated Blood Pool Imaging - Quantify ventricular volumes and the ejection fraction (EF) from gated ECT blood pool images. - Quantify ejection fraction (EF) from planar gated blood pool images. - Assessment of Myocardial Perfusion with Nuclear Myocardial Perfusion Imaging - Quantify regional relative myocardial perfusion with comparison to normal limits for interpretation of perfusion abnormalities by the Clinician. - Provide semi-quantitative segmental myocardial perfusion scoring | INVIA’s Corridor4DM application is intended to provide processing, quantification, and multidimensional review of the biodistribution of radionuclides in the body using planar and tomographic images. The application performs quantitative measurements of tracer uptake over time to aid in the interpretation of myocardial perfusion emission tomographic images. Cardiac CT interpretation and calcium quantification are optional features that are integrated into Corridor4DM (SPECT-CT and PET-CT). The calcium scoring package is a non-invasive diagnostic tool that can be used to evaluate the calcified plaques in the coronary arteries, a risk factor for coronary artery disease. Co-registration or fusion of volumetric data (ECT and/or CT) is provided as a quality control for the identification of structures where correlative spatial information is necessary for a diagnostic interpretation. | Similar The variation between indications for use between devices cleared in this product code indicates that if certain basic information is provided, variations are acceptable. The requested indications for use provide additional information related to potential diseases that may be relevant to the imaging, but remains about reviewing, processing, quantification, and multidimensional review. Therefore, there is no difference in safety or effectiveness. |
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| Attribute | Subject: 4DM | Predicate: Corridor4DM K101279 | Comparison |
| --- | --- | --- | --- |
| | using standard segmental overlay(s). - ○ Quantify transient ischemic dilation from stress-rest myocardial perfusion images. - ● Assessment of Myocardial Blood Flow with Nuclear Cardiology Imaging - ○ Quantify and display myocardial blood flow and flow reserve from SPECT or PET dynamic sequences. - ● Assessment of Myocardial Viability with Nuclear Cardiology Imaging - ○ Quantify regional perfusion and metabolic radiotracer uptake for the interpretation of viable myocardium by the Clinician. - ● Assessment of Inflammatory Processes with Nuclear Cardiology Imaging - ○ Quantify regional radiotracer uptake for the review and interpretation of the presence of inflammation and infection in the heart and body by the Clinician. - ● Assessment of Cardiac Coronary Calcium with CT Imaging - ○ Quantify the presence of calcium in the coronary vessels for review and interpretation by the Clinician. - ● SPECT Image Reconstruction - ○ Motion correction of SPECT tomographic projection images for patient or organ motion. - ○ Image reconstruction of SPECT tomographic projection images with post reconstruction filtering and reorientation. 4DM shall be used by qualified medical professionals. It does not provide diagnoses or therapeutic recommendations but is instead a visual and quantitative aid. | | |
| Attribute | Subject: 4DM | Predicate: Corridor4DM K101279 | Reference: Cvi42 K242781 | Comparison |
| --- | --- | --- | --- | --- |
| Product Code | QIH, LLZ | KPS, JAK, LLZ | QIH, LLZ | Equivalent QIH has been added to cover optional ML functionalities. QIH is included in the reference device. |
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| Attribute | Subject: 4DM | Predicate: Corridor4DM K101279 | Reference: Cvi42 K242781 | Comparison |
| --- | --- | --- | --- | --- |
| Regulation Number | 892.2050 | 892.2050, 892.1750, and 892.1200 | 892.2050 | Same |
| Intended Use | Software providing viewing, processing, quantification, and multidimensional review to aid in the interpretation of radiographic images. | Software providing viewing, processing, quantification, and multidimensional review to aid in the interpretation of radiographic images. | Software providing viewing, processing, quantification, and multidimensional review to aid in the interpretation of radiographic images. | Same |
| Imaging Modalities | MR and CT | CT | MR and/or CT | Same |
| 2D Imaging | Yes | Yes | Not assessed | Same |
| 3D Imaging | Yes | No | Yes | Different from the predicate. Same as Reference. No new questions related to safety or effectiveness. |
| Multiplanar Reformat (MPR) | Yes | No | Yes | Different from the predicate. Same as Reference. No new questions related to safety or effectiveness. |
| DICOM Compliant | Yes | Yes | Yes | Same |
| Navigation Tools | Panning, Windowing, Zooming, Series / Slices and Phases | Panning, Windowing, Zooming, Series / Slices and Phases | Panning, Windowing, Zooming, Series / Slices and Phases | Same |
| Reconstruction of tomographic datasets | Yes Standard algorithm | Yes Standard algorithm | Not assessed | Same |
| Processing of planar images | Yes Standard algorithm | Yes Standard algorithm | Not assessed | Same |
| Tracer uptake over time | Yes Standard algorithm | Yes Standard algorithm | Not assessed | Same |
| Estimates of cardiac function | Yes Standard algorithm | Yes Standard algorithm | Not assessed | Same |
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| Attribute | Subject: 4DM | Predicate: Corridor4DM K101279 | Reference: Cvi42 K242781 | Comparison |
| --- | --- | --- | --- | --- |
| Estimates of cardiac perfusion | Yes Standard algorithm | Yes Standard algorithm | Not assessed | Same |
| Attenuation correction | Yes Standard algorithm and optional Deep learning (DL) estimation | Yes Standard algorithm | Yes All reference devices include attenuation correction. It is not clear if they utilize standard or DL algorithms for this feature. | Similar to predicate. While the algorithms have been generated differently, all software algorithms are generated in a somewhat different manner by different teams and using different techniques. Algorithms are validated to ensure appropriate outputs. Therefore, there are no new questions related to safety or effectiveness. |
| Segmentation | Yes Standard algorithm and optional DL estimation | Yes Standard algorithm | Yes Standard algorithm and optional DL estimation | Similar to predicate. Same as Reference. No new questions related to safety or effectiveness. |
| Volumetric Blood Flow Estimation | Yes Standard algorithm and optional DL estimation | Yes Standard algorithm | Yes Include volumetric blood flow estimation. It is not clear if they use standard or DL algorithms for this feature. | Similar to predicate. While the algorithms have been generated differently, all software algorithms are generated in a somewhat different manner by different teams and using different techniques. Algorithms are validated to ensure appropriate outputs. Therefore, there are no new questions related to safety or effectiveness. |
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## 9. Non-Clinical Training and Performance Data
The DL aspects of 4DM were trained using various databases as summarized in the following table. All training data were separate from the validation data.
To demonstrate the safety and effectiveness of 4DM and to show substantial equivalence to the predicate device, INVIA completed the following non-clinical tests. Results confirm that the design inputs and performance specifications for the device are met. 4DM passed the testing in accordance with internal requirements, national standards, and international standards shown below, supporting its safety and effectiveness, and its substantial equivalence to the predicate device:
- Risk management per ISO 14971
- Software verification and validation per IEC 62304
- Usability / Human factors per IEC 62366-1
- Verification and validation testing were conducted in alignment with FDA guidance “Technical Performance Assessment of Quantitative Imaging in Radiological Device Premarket Submissions” from 2022.
Outputs were validated using retrospective analysis of human image data that was obtained as part of standard clinical patient care data, quantitative and qualitative analysis, and visual / manual evaluation. A summary of the validation testing is provided below.
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| Feature / Module | Training | Tuning | Validation Sample Description / Size | Test Method / Applicable Standards | Acceptance Criteria | Test Results |
| --- | --- | --- | --- | --- | --- | --- |
| DLAC | 5,593 patient studies | 1,865 patient studies | 4,074 patient studies in two evaluations | Quantitative performance comparison (ROC area under curve [AUC], sensitivity, specificity) of DLAC polar maps versus standard-of-care NAC polar maps and conventional measured CTAC polar maps | Equivalent or better than conventional analysis | Pass |
| Sarcoid-DL | 189 patient studies | 63 patient studies | 341 patient studies in two evaluations | Quantitative comparison of volumes and Dice scores for DL LV segmentations on sarcoid images vs the standard-of-care LV segmentations on perfusion images | Equivalent or better than conventional analysis | Pass |
| CT-DL | 1,221 patient studies | None. Justification provided. | 332 patient studies in two evaluations | Quantitative comparison of the VOI derived from the CT-DL heart mask vs the standard-of-care manually defined VOI | Equivalent or better than conventional analysis | Pass |
| MBF-DL | 4,487 patient studies | 1,122 patient studies | 4,305 patient studies in three evaluations | Quantitative comparison of regional blood flow and quantitative comparison of relevant and absolute perfusion images using established polar map tools | Equivalent or better than conventional analysis | Pass |
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# **10. Clinical Performance Data**
No clinical data was necessary to determine the substantial equivalence of this device.
# **11. Statement of Substantial Equivalence**
4DM has the same intended use as the predicate device and similar indications for use. All differences between the subject device when compared to the predicate device have been successfully evaluated through appropriate safety and performance testing which demonstrates that the subject device does not raise any new questions of safety and effectiveness. Based on the results of the risk assessment and all applicable testing, the 4DM is determined to perform as intended during normal anticipated usage and is at least as safe, as effective, and performs as well as or better than the legally marketed predicate device and therefore can be determined to be substantially equivalent to the predicate device.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the ? button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
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 as a Medical Device, 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 as a Medical Device), 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.