Each landmark independently passes in 80% of cases; lower bound of 95% exact binomial confidence interval >= 70%
All landmarks passed acceptance criteria; all 95% confidence intervals >= 70%
—
—
Retrospective cohort study of 170 adult patients plus 29 supplemental studies.
1 (US board certified radiologist)
Indications for Use
TeraRecon Aorta.CT is intended to provide an automatic 3D segmentation and label anatomical landmarks of the Aorta. The results of TeraRecon Aorta.CT are intended to be used in conjunction with other patient information by trained professionals who are responsible for making any patient management decision per the standard of care. TeraRecon Aorta.CT is a software as a medical device (SaMD) deployed as a containerized application. The device inputs are CT Angiography with contrast DICOM images. The device outputs are DICOM result files which may be viewed utilizing DICOM-compliant systems. The device does not alter the original input data and does not provide a diagnosis.
Device Story
TeraRecon Aorta.CT is a containerized SaMD application for automated 3D segmentation and landmarking of the aorta. Input: contrast-enhanced CT Angiography (DICOM). Processing: supervised deep learning-based algorithms perform automated segmentation of aortic lumen and wall, and identify 22 anatomical landmarks. Output: DICOM result files for viewing in DICOM-compliant systems. Used in clinical settings by trained professionals to assist in standard-of-care patient management. The device does not provide a diagnosis or alter original input data. Clinical benefit: provides standardized anatomical segmentation and landmarking to support clinician procedure planning.
Clinical Evidence
Retrospective cohort study of 170 adult patients (Siemens, GE, Philips, Canon scanners). Primary endpoints: Aortic lumen and wall segmentation accuracy (DICE score) and landmarking precision (Euclidean distance/identification). Results: Mean DICE score for lumen segmentation was 88% (acceptance >=80%); mean DICE score for aorta wall segmentation was 90% (acceptance >=80%). All 22 landmarks met acceptance criteria (>=80% pass rate) with 95% confidence intervals >=70%.
Technological Characteristics
Software-only device (SaMD) deployed as a containerized application (e.g., Docker). Operates on off-the-shelf hardware or cloud platforms. Utilizes supervised deep learning-based algorithms for image processing. Inputs/outputs follow DICOM standards.
Indications for Use
Indicated for adult patients undergoing aortic CT Angiography. Contraindicated for patients with pre-existing aortic devices, bicuspid aortic valve anomaly, aortic dissection, aortic rupture, or abdominal metallic devices. Not specific to any gender, ethnic group, or clinical condition.
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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January 23, 2025
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TeraRecon, Inc. Michael Sosebee Director, Regulatory Affairs and Quality Assurance 4309 Emperor Boulevard, Suite 310 Durham, North Carolina 27703
Re: K243158
Trade/Device Name: TeraRecon Aorta.CT (1.1.0) Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: QIH Dated: September 30, 2024 Received: January 7, 2025
Dear Michael Sosebee:
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 (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 Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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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 System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review. the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 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-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 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 Re"). 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-advicecomprehensive-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-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See
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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,
Samul for
Jessica Lamb, Ph.D. Assistant Director Imaging Software Team DHT8B: Division of Radiological Imaging Devices and Electronic Products 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
Submission Number (if known)
K243158
Device Name
TeraRecon Aorta.CT (1.1.0)
#### Indications for Use (Describe)
TeraRecon Aorta.CT is intended to provide an automatic 3D segmentation and label anatomical landmarks of the Aorta. The results of TeraRecon Aorta.CT are intended to be used in conjunction with other patient information by trained professionals who are responsible for making any patient management decision per the standard of care. TeraRecon Aorta.CT is a software as a medical device (SaMD) deployed as a containerized application. The device inputs are CT Angiography with contrast DICOM images. The device outputs are DICOM result files which may be viewed utilizing DICOM-compliant systems. The device does not alter the original input data and does not provide a diagnosis.
TeraRecon Aorta.CT is indicated to generate results from aortic CT Angiography scans taken of adult patients except patients with pre-existing aortic device, bicuspid aortic valve anomaly, aortic dissection, aortic rupture, and abdominal metallic device is not specific to any gender, ethnic group, or clinical condition.
Type of Use (Select one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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Image /page/4/Picture/0 description: The image shows the logo for "TERARECON", with the "RA" in the middle of the word in a gradient from teal to blue. Below the logo, in a smaller font, is the text "A ConcertAI Company", also in blue. The logo is simple and modern, with a clean font and a clear message. The use of color in the logo is effective, and the overall design is professional and eye-catching.
4309 Emperor Boulevard, Suite 310 | Durham, NC 27703 Tel 650.372.1100 Fax 650.372.1101 www.terarecon.com | info@terarecon.com
## TeraRecon Aorta.CT 1.1.0 510(k) Summary
Image /page/4/Picture/3 description: The image shows the alphanumeric string "K243158". The string is written in a serif font. The characters are all the same size and are evenly spaced.
510(k) Number: Prepared on:
K243158 23Jan2025
## Contact Details
## Device Name
Device Trade Name: Common Name: Classification Name: Regulation Number: Product Code(s):
TeraRecon Aorta.CT (1.1.0) Medical image management and processing system Automated Radiological Image Processing Software 892.2050 QIH
## Legally Marketed Predicated Device
| Predicate #: | K220039 |
|-----------------------|-----------|
| Predicate Trade Name: | AutoSeg-H |
| Product Code: | LLZ |
#### Device Description Summary
The TeraRecon Aorta.CT algorithm is an image processing software device that can be deployed as a containerized application (e.g., Docker container) that runs on off-the-shelf hardware or on a cloud platform.
The device provides an automatic 3D segmentation of the aorta and landmarks of important aortic anatomy. When TeraRecon Aorta.CT results are used in external viewer devices such as TeraRecon's Intuition or Eureka Clinical Al medical devices, all the standard features offered by the external viewer are employed.
The TeraRecon Aorta.CT algorithm is not intended to replace the skill and judgment of a qualified medical practitioner and should only be used by individuals that have been trained in the software's function, capabilities, and limitations.
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Image /page/5/Picture/0 description: The image shows the logo for TeraRecon, a ConcertAI company. The TeraRecon text is in a bold, sans-serif font, with a gradient color scheme transitioning from dark blue to light blue. Below the TeraRecon text, in a smaller font size, is the text "A ConcertAI Company", also in blue.
#### Intended Use/Indications for Use
TeraRecon Aorta.CT is intended to provide an automatic 3D segmentation and label anatomical landmarks of the Aorta. The results of TeraRecon Aorta. CT are intended to be used in conjunction with other patient information by trained professionals who are responsible for making any patient management decision per the standard of care. TeraRecon Aorta.CT is a software as a medical device (SaMD) deployed as a containerized application. The device inputs are CT Angiography with contrast DICOM images. The device outputs are DICOM result files which may be viewed utilizing DICOMcompliant systems. The device does not alter the original input data and does not provide a diagnosis.
TeraRecon Aorta.CT is indicated to generate results from aortic CT Angiography scans taken of adult patients except patients with pre-existing aortic device, bicuspid aortic valve anomaly, aortic dissection, aortic rupture, and abdominal metallic devices. The device is not specific to any gender, ethnic group, or clinical condition.
#### Indications for Use Comparison
Indications for Use (Subject Device) - TeraRecon Aorta.CT
TeraRecon Aorta.CT is intended to provide an automatic 3D segmentation and label anatomical landmarks of the Aorta. The results of TeraRecon Aorta.CT are intended to be used in conjunction with other patient information by trained professionals who are responsible for making any patient management decision per the standard of care. TeraRecon Aorta.CT is a software as a medical device (SaMD) deployed as a containerized application. The device inputs are CT Angiography with contrast DICOM images. The device outputs are DICOM result files which may be viewed utilizing DICOMcompliant systems. The device does not alter the original input data and does not provide a diagnosis.
TeraRecon Aorta.CT is indicated to generate results from aortic CT Angiography scans taken of adult patients except patients with pre-existing aortic device, bicuspid aortic valve anomaly, aortic dissection, aortic rupture, and abdominal metallic devices. The device is not specific to any gender, ethnic group, or clinical condition.
#### Indications for Use (Predicate Device) - AugoSeq-H, K220039
AutoSeg-H is medical imaging software that is intended to provide trained medical professionals with tools to aid them in reading, interpreting, and treatment planning. AutoSeg-H accepts DICOM compliant medical images acquired from imaging device (Computed Tomography).
AutoSeg-H provides the tools for specific analysis applications which provide custom UI, targeted measurements and reporting functions including:
- Coronary Artery Analysis for CT coronary arteriography images: which is intended for the qualitative and quantitative analysis of coronary arteries.
- Valve Analysis: which is intended for automatic extraction of the heart and aorta regions, automatic detection of the contour of the aorta and valves, measurement of the vicinity of the valves.
- 4-Chamber Analysis: which is intended for automatic extraction of the left atrium, left ventricle, right atrium, and right ventricle from CT.
#### Comparison of the Indications for Use:
The differences in the two indications for use statement do not raise different safety and effectiveness questions because the differences are summarized as additional functionality that is offered by the predicate device in comparison to the subject device. The similarities in the two indications for use statements show that the same modality, Computed Tomography DICOM images and automated segmentation of the aorta are employed to provide similar device output.
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Image /page/6/Picture/0 description: The image contains the logo for "TERAIRECON", with the letters in a bold, sans-serif font. The color of the letters transitions from a dark blue on the left to a lighter teal on the right. Below the main logo, in a smaller font size, is the text "A ConcertAI Company", indicating that TERAIRECON is affiliated with ConcertAI.
## Technological Comparison
| | Subject Device | Predicate Device | |
|-------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | TeraRecon Aorta.CT | AutoSeg-H | Comparison |
| | K243158 | K220039 | |
| Indications<br>for Use | TeraRecon Aorta.CT is<br>intended to provide an<br>automatic 3D segmentation<br>and label anatomical<br>landmarks of the Aorta. The<br>results of TeraRecon<br>Aorta.CT are intended to be<br>used in conjunction with<br>other patient information by<br>trained professionals who<br>are responsible for making<br>any patient management<br>decision per the standard of<br>care. TeraRecon Aorta.CT<br>is a software as a medical<br>device (SaMD) deployed as<br>a containerized application.<br>The device inputs are CT<br>Angiography with contrast<br>DICOM images. The device<br>outputs are DICOM result<br>files which may be viewed<br>utilizing DICOM-compliant<br>systems. The device does<br>not alter the original input<br>data and does not provide a<br>diagnosis.<br><br>TeraRecon Aorta.CT is<br>indicated to generate results<br>from aortic CT Angiography<br>scans taken of adult<br>patients except patients with<br>pre-existing aortic device,<br>bicuspid aortic valve<br>anomaly, aortic dissection,<br>aortic rupture, and<br>abdominal metallic devices.<br>The device is not specific to<br>any gender, ethnic group, or<br>clinical condition. | AutoSeg-H is medical<br>imaging software that is<br>intended to provide trained<br>medical professionals with<br>tools to aid them in reading,<br>interpreting, reporting, and<br>treatment planning.<br>AutoSeg-H accepts DICOM<br>compliant medical images<br>acquired from imaging<br>device (Computed<br>Tomography).<br><br>AutoSeg-H provides the<br>tools for specific analysis<br>applications which provide<br>custom UI, targeted<br>measurements and<br>reporting functions<br>including:<br>- Coronary Artery Analysis<br>for CT coronary<br>arteriography images: which<br>is intended for the<br>qualitative and quantitative<br>analysis of coronary<br>arteries.<br>- Valve Analysis: which is<br>intended for automatic<br>extraction of the heart and<br>aorta regions, automatic<br>detection of the contour of<br>the aorta and valves,<br>measurement of the vicinity<br>of the valves.<br>- 4-Chamber Analysis:<br>which is intended for<br>automatic extraction of the<br>left atrium, left ventricle,<br>right atrium, and right<br>ventricle from CT. | Differences:<br>The subject device does not include<br>functionality to provide professionals with<br>tools to read, interpret, report or treatment<br>plan.<br><br>The predicate device provides analysis tools<br>for coronary artery analysis and 4-chamber<br>analysis that the subject device does not<br>provide.<br><br>The predicate device provides measurements<br>of the vicinity of the cardiac valves which the<br>subject device does not provide.<br><br>The subject device includes landmarks of the<br>aorta that the predicate device does not.<br><br>The subject device indicates that it is not for<br>use on images of adult patients with pre-<br>existing aortic device, bicuspid aortic valve<br>anomaly, aortic dissection, aortic rupture, and<br>abdominal metallic devices. The predicate<br>device does not mention similar non use<br>scenarios.<br><br>Similarities:<br>The subject and predicate devices are both<br>indicated for use with Computed Tomography<br>(CT) DICOM images.<br><br>The subject and predicate devices are both<br>indicated for use on images of adult patients.<br><br>The subject and predicate devices both<br>provide segmentation results.<br><br>Summary:<br>The noted differences do not render the<br>subject device NSE because the identified<br>differences do not raise different safety and<br>effectiveness questions. The similarities show<br>that similar device output is provided based<br>on the same technology utilized in the<br>devices. |
| Modality | Computed Tomography<br>(CT) | Computed Tomography<br>(CT) | Same |
| Algorithm<br>Technology | Supervised deep learning-based algorithms | Deep learning-based<br>algorithms | Same |
| | Subject Device<br>TeraRecon Aorta.CT<br>K243158 | Predicate Device<br>AutoSeg-H<br>K220039 | Comparison |
| Device<br>Outputs | DICOM Seg and DICOM<br>CoF | Results in form of 2D<br>Images, 3D Images,<br>Information and Results | Differences:<br>The predicate device outputs measurement<br>results that are not available in the subject<br>device.<br>Similarities:<br>Both the subject and predicate devices<br>output results following the DICOM<br>standard.<br><br>Summary:<br>The noted differences do not render the<br>subject device NSE because the identified<br>differences do not raise different safety and<br>effectiveness questions. The similarities<br>show that similar device output is provided<br>based on the same technology utilized in<br>the devices. |
| Installation<br>Methods | Application installed on a<br>computer | Application installed on a<br>computer | Same |
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Image /page/7/Picture/0 description: The image shows the logo for TeraRecon, a ConcertAI company. The logo consists of the word "TERARECON" in a bold, sans-serif font. The "A" in TeraRecon is a gradient of green and blue. Below the company name is the text "A ConcertAI Company" in a smaller, lighter font.
#### Non-Clinical and/or Clinical Tests Summary & Conclusions
The TeraRecon Aorta.CT device underwent a retrospective cohort study where ground truth was established and compared to the output of the device as described below:
At least 50% of the ground truth data is of US patients from 3 geographical regions in the United States. Each ground truth scan will also pass through the subject device. 170 adult patients are included in the cohort meeting the following inclusion criteria: Patients must be 18 or older, must have had a CT Angiography scan for cardiac or CT Angiographic scan for abdomen or for both covering cardiac and abdominal aorta, and the validation data should be enriched with data from patients with clinical diagnosis of aortic dilation/aneurysm and/or aortic valve disease.
The following results will be compared between the ground truth and device results, Lumen Segmentation: Comparison of Aorta Jumen segmentation results from the medical device to aorta lumen segmentation from ground truth. Aorta wall segmentation: The test will compare the results from ground truth to medical device output representing for aorta wall to wall segmentation. This aorta wall to wall segmentation includes aorta lumen + wall for the comparison. The lumen and aorta wall (including lumen) segmentations are important for extracting measurements that can be used by the clinicians for procedure planning. Landmarking results: The 22 anatomical landmarks for aorta will be compared from the device output to the ground truth.
For each CTA scan we will record aortic lumen segmentation DICE score and aorta segmentation DICE score for the subject device vs each of the ground truths. Our acceptance criteria for lumen and aorta segmentation accuracy are for average DICE score >= 80%.
For each CTA scan, we will also examine the subject device landmarking locations compared to each ground truth annotation. The Common Left and Right Iliac Arteries, Left and Right Femoral Arteries (4 landmarks) will be evaluated by whether or not the subject device correctly identified the vessel in accordance with ground truth. In a typical clinical workflow, these landmarks need only identify any point
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Image /page/8/Picture/0 description: The image shows the logo for TeraRecon, a ConcertAI company. The logo is in a dark blue color, with the letters "TERA" in a solid, bold font. The letters "RECON" are in a gradient of blue and green, with the "R" being the darkest blue and the "N" being the lightest green. Below the logo, in a smaller font, is the text "A ConcertAI Company".
in the center of the vessel, thus the identification of the overall anatomic location is of greatest importance, rather than exact location.
The remaining landmarks except for the aortic bifurcation (17 landmarks) will be assessed using Euclidean distance between ground truth annotation and medical device output locations. We will determine whether the Euclidean distance is within 5mm.
Finally, for the aortic bifurcation (1 landmark), the exact location is not clearly defined, and a general area is sufficient in typical clinical practice. We will determine whether the Euclidean distance is within 2cm compared to ground truth.
Our acceptance criteria for the landmarks are whether each of the 22 landmarks independently pass the class-specific criteria in 80% of the cases. To provide evidence of precision, we will assess whether the lower bound of the 95% exact binomial confidence interval (binom.confint from the R power library) is greater than or equal to 70% (~ acceptance level - 10%). A sample size of 100 CTA scans was chosen since during power simulations of 10.000 simulated runs, an actual case-wise pass rate of 90% resulted in power of 81% to pass all 24 tests after accounting for 30% loss of cases due to some landmarks being outside of field of view. Power calculation code displayed in appendix.
Following execution of the study, it was determined that the TeraRecon Aorta.CT device passed the acceptance criteria established in the study based on the following results:
For testing the lumen and aorta segmentation, we selected 170 studies which matched the inclusion exclusion criteria. The final manufacturer distribution was 77 Siemens, 33 GE, 35 Philips, and 25 Canon. All collected datasets were checked and were found acceptable to use by a US board certified radiologist, who is currently practicing in the United States and reads similar scans.
Our acceptance criteria for lumen and segmentation is to confirm a mean DICE score of >=80%. The lumen segmentation results passed with a mean DICE score of 88%. The aorta segmentation results passed with a mean DICE score of 90%.
For testing the aorta landmarking, we selected 170 studies which matched the inclusion criteria, but we found that the number of landmarks outside the field of view was higher than expected: 40-45% actual vs 30% expected. The annotators were unable to provide annotations for these images, and we had a range of between 55-60 annotatable landmarks per landmark target. Additionally, sections of many images contained image artifacts which made annotation impossible. These artifacts included motion artifacts, occluded vessels, and lack of contrast in the aortic arch and heart. We increased the number of studies to achieve our target of 70 annotatable landmarks, according to our power calculations. We added 29 additional studies to the initial total. After adding 29 supplemental studies, we averaged 73 annotatable landmarks per landmark target with a minimum of 63. Thus, we stopped increasing the sample size.
Our acceptance is to assess whether each of the 22 landmarks independently pass evaluation in 80% of the cases. To provide evidence of precision we assess whether the lower bound of the 95% exact binomial confidence interval (binom.confint from the R power library) is greater than or equal to 70% (~ acceptance level - 10%). All landmarks passed the acceptance criteria, all 95% confidence intervals were at least 70%.
The test results support the conclusion that the TeraRecon Aorta.CT device is as safe, as effective and performs as well as the predicate device cleared under K220039.
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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.