K141074 · Ge Medical Systems, LLC · KPS · Sep 18, 2014 · Radiology
Device Facts
Record ID
K141074
Device Name
CORTEX ID SUITE
Applicant
Ge Medical Systems, LLC
Product Code
KPS · Radiology
Decision Date
Sep 18, 2014
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1200
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
CortexID software has been developed to aid physicians in the evaluation of patient pathologies via assessment and quantification of PET brain scans. The software aids in the assessment of human brain PET scans enabling automated analysis through quantification of tracer uptake and comparison with the corresponding tracer uptake in normal subjects. The resulting quantification is presented using volumes of interest, voxel-based or 3D stereotactic surface projection maps of the brain. The package allows the user to generate information regarding relative changes in PET-FDG glucose metabolism. CortexID Suite additionally allows the user to generate information in PET brain amyloid load between a subject's images and a normal database, which may be the result of brain neurodegeneration. PET co-registration and fusion display capabilities with CT and MR allow PET findings to be related to brain anatomy and offers visualization of structural abnormalities, which may result from brain injury, trauma, disease or dysfunction, such as subdural hematoma, tumor, stroke, or cerebrovascular disease, etc. CortexID Suite may aid physicians in the image interpretation process of PET studies conducted on patients being evaluated for cognitive impairment, or other causes of cognitive decline, and is an adjunct to other diagnostic evaluations.
Device Story
CortexID Suite is image analysis software for PET brain scans; inputs include PET, CT, and MR image data. Software performs automated quantification of tracer uptake (FDG and beta-amyloid) by registering images to a standard template space and comparing intensity values against normal subject databases. Outputs include volumes of interest (VOI), voxel-based maps, and 3D stereotactic surface projection (SSP) maps. Used in clinical settings by physicians to aid in interpreting studies for cognitive impairment or structural brain abnormalities. Features include PET-MR/CT fusion, longitudinal analysis, and automated reorientation. Provides clinicians with quantitative data to support diagnostic decision-making regarding neurodegeneration or other pathologies.
Clinical Evidence
No clinical data. Substantial equivalence supported by bench testing, verification, and validation of software performance. Clinical studies were not required as the modification involves analysis of new PET image contrast agents and does not significantly affect clinical safety or performance.
Technological Characteristics
Software-based image analysis platform. Complies with NEMA PS 3.1-3.20 (DICOM) standards. Features automated reorientation, standardization, and registration algorithms. Supports PET-MR and PET-CT fusion. Operates on AW VolumeShare 5 workstation. Development followed rigorous quality assurance including risk analysis, design reviews, and system verification/performance testing.
Indications for Use
Indicated for patients undergoing brain PET scans for evaluation of cognitive impairment or decline, or structural abnormalities (e.g., tumor, stroke, trauma, neurodegeneration). Used as an adjunct to other diagnostic evaluations.
Regulatory Classification
Identification
An emission computed tomography system is a device intended to detect the location and distribution of gamma ray- and positron-emitting radionuclides in the body and produce cross-sectional images through computer reconstruction of the data. This generic type of device may include signal analysis and display equipment, patient and equipment supports, radionuclide anatomical markers, component parts, and accessories.
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the seal of the Department of Health & Human Services - USA. The seal is circular, with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the top half of the circle. The bottom half of the circle contains a stylized image of three human profiles facing to the right. The profiles are connected by a flowing line.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 19, 2014
GE Medical Systems, LLC % Mr. David Duersteler Regulatory Affairs Leader 3000 North Grandview Blvd. WAUKESHA WI 53188
Re: K141074 Trade/Device Name: CortexID Suite Regulation Number: 21 CFR 892.1200 Regulation Name: Emission computed tomography system Regulatory Class: II Product Code: KPS Dated: September 12, 2014 Received: September 15, 2014
Dear Mr. Duersteler:
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. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21. Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
{1}------------------------------------------------
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
Michael D. O'Hara
for
Janine M. Morris Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
### Indications for Use
510(k) Number (if known) K141074
Device Name CortexID Suite
#### Indications for Use (Describe)
CortexID software has been developed to aid physicians in the evaluation of patient pathologies via assessment and quantification of PET brain scans.
The software aids in the assessment of human brain PET scans enabling automated analysis through guantification of tracer uptake and comparison with the corresponding tracer uptake in normal subjects. The resulting quantification is presented using volumes of interest, voxel-based or 3D stereotactic surface projection maps of the brain. The package allows the user to generate information regarding relative changes in PET-FDG glucose metabolism.
CortexID Suite additionally allows the user to generate information in PET brain amyloid load between a subject's images and a normal database, which may be the result of brain neurodegeneration.
PET co-registration and fusion display capabilities with CT and MR allow PET findings to be related to brain anatomy and offers visualization of structural abnormalities, which may result from brain injury, trauma, disease or dysfunction, such as subdural hematoma, tumor, stroke, or cerebrovascular disease, etc.
CortexID Suite may aid physicians in the image interpretation process of PET studies conducted on patients being evaluated for cognitive impairment, or other causes of cognitive decline, and is an adjunct to other diagnostic evaluations. 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)
## PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
#### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
{3}------------------------------------------------
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{4}------------------------------------------------
Image /page/4/Picture/1 description: The image shows the logo for General Electric (GE). The logo is a blue circle with the letters "GE" in white inside. The circle is surrounded by a white border with a stylized design that looks like water droplets. The logo is simple and recognizable, and it is often used to represent the company's products and services.
# 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided:
| Date: | April 23, 2014 |
|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submitter: | GE Medical Systems, LLC |
| | 3000 North Grandview Blvd.<br>Waukesha, WI 53188, USA |
| Primary Contact Person: | Peter Uhlir |
| | Regulatory Affairs Leader |
| | Tel: 00 36 23 410121<br>Fax: 1-847-277-4506 |
| Secondary Contact<br>Person: | Jeme Wallace<br>Regulatory Affairs Director<br>GE Healthcare<br>Tel: 1-847-277-4468<br>Fax: 1-847-277-4506 |
| Device Trade Name: | CortexID Suite |
| Common/Usual Name: | CortexID Suite |
| Classification Names: | 21CFR 892.1200, Radiology |
| Product Code: | KPS |
| Predicate Device(s): | K062393 - CortexID (originally called GE Vantage PET Neuro) |
| Device Description: | CortexID, image analysis software, has been developed to aid<br>clinicians in the assessment and quantification of pathologies<br>derived from PET scans. The software enables the display, co-<br>registration, and fusion of PET images with those from other<br>modalities. It enables automated quantitative and statistical<br>analysis of tracer uptake by registration to a standard template<br>space and comparing intensity values. Additionally, CortexID<br>assists with comparison of the activity in defined brain regions<br>of individual scans relative to normal activity values as found in<br>normal subjects. Quantification is presented using volumes of<br>interest, voxel-based or 3D stereotactic surface projection maps<br>of the brain. |
| Key features of the CortexID Suite include: | |
| a. Integrated platform for FDG and Beta Amyloid analysis | |
| b. PET-MR and PET-CT registration and fusion | |
| c. Automatic reorientation and standardization | |
| d. 3D SSP, Voxel based images and VOI statistics | |
| e. Comparison with normals databases | |
| f. Longitudinal Analysis | |
| g. Q.Check | |
| h. Summing input dynamic PET scan | |
| i. Exam Summary (integrated report) | |
| j. Easy Export | |
| k. Multiple Reference Regions | |
| l. Reoreintation | |
| m. Region Overlay | |
| n. Fully Customizable Interface | |
| o. Preset Presentations | |
| p. MR Template Image | |
| The CortexID Suite is also made available as a standalone post processing application on the AW VolumeShare 5 workstation (K110834) that hosts advanced image processing applications. | |
| Indications for Use /<br>Intended Use: | CortexID software has been developed to aid physicians in the evaluation of patient pathologies via assessment and quantification of PET brain scans. |
| | The software aids in the assessment of human brain PET scans enabling automated analysis through quantification of tracer uptake and comparison with the corresponding tracer uptake in normal subjects. The resulting quantification is presented using volumes of interest, voxel-based or 3D stereotactic surface projection maps of the brain. The package allows the user to generate information regarding relative changes in PET-FDG glucose metabolism. |
| | CortexID Suite additionally allows the user to generate information in PET brain amyloid load between a subject's images and a normal database, which may be the result of brain neurodegeneration. |
| | PET co-registration and fusion display capabilities with CT and |
| | MR allow PET findings to be related to brain anatomy and offers<br>visualization of structural abnormalities, which may result from<br>brain injury, trauma, disorder, disease or dysfunction, such as<br>subdural hematoma, tumor, stroke, or cerebrovascular disease,<br>etc.<br><br>CortexID Suite may aid physicians in the image interpretation<br>process of PET studies conducted on patients being evaluated<br>for cognitive impairment, or other causes of cognitive decline,<br>and is an adjunct to other diagnostic evaluations. |
| Technology: | The CortexID Suite software employs the same fundamental<br>scientific technology as its predicate device. |
| Determination of<br>Substantial Equivalence: | Summary of Non-Clinical Tests:<br>The CortexID Suite software complies with NEMA PS 3.1 - 3.20<br>(2011) Digital Imaging and Communications in Medicine (DICOM)<br>Set (Radiology) standard.<br><br>CortexID Suite employs the same fundamental scientific<br>technology as its predicate device, CortexID. CortexID Suite uses<br>the equivalent DICOM image data input requirements. It has<br>equivalent display, formatting, archiving and visualization<br>technologies compared to the predicate device. CortexID Suite<br>utilizes essentially the same methodology to quantify and<br>assess uptake of FDG and beta amyloid tracers. The information<br>is presented using volumes of interest, voxel-based or 3D<br>stereotactic surface projection maps of the brain. CortexID Suite<br>utilizes existing PET & CT co-registration and fusion<br>technologies and provides for PET & MR co-registration and<br>fusion capabilities. Thorough testing of these capabilities has<br>not raised any safety or effectiveness issues.<br><br>The following quality assurance measures were applied to the<br>development of the system:<br>■ Risk Analysis<br>■ Requirements Reviews<br>■ Design Reviews<br>■ Integration testing (System verification)<br>■ Performance testing (Bench testing, verification)<br>■ Safety testing (Verification) |
| | Summary of Clinical tests:<br>The subject of this premarket submission, CortexID Suite<br>software did not require clinical studies to support substantial<br>equivalence since it introduces analysis of new PET image<br>contrast agents only. The clinical utility for the analysis of the<br>new image processing has not been studied since modification |
| | does not significantly affect the clinical safety and performance.<br>The substantial equivalence determination is based on the<br>software documentation for a MODERATE level of concern<br>device. |
| Conclusion: | GE Healthcare considers the CortexID Suite software<br>application to be as safe, as effective, and performance is<br>substantially equivalent to the predicate device. |
{5}------------------------------------------------
Image /page/5/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' in a stylized, cursive font, enclosed within a blue circle. The circle has a series of white, curved lines around it, resembling water droplets or stylized waves, giving the logo a dynamic and recognizable appearance.
{6}------------------------------------------------
Image /page/6/Picture/1 description: The image shows the logo for General Electric (GE). The logo consists of the letters 'GE' written in a stylized script, enclosed within a blue circle. There are small, white, teardrop-shaped elements surrounding the circle, giving it a dynamic and recognizable appearance. The logo is simple, yet distinctive, and is widely recognized as the symbol of the General Electric company.
{7}------------------------------------------------
Image /page/7/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' in a stylized, cursive font, enclosed within a blue circle. The circle has a series of white, curved lines around it, resembling water droplets or stylized waves, which gives the logo a dynamic and modern appearance.
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 Tutorial 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-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.