The NeuroQ™ 3.8 program is used to regionally quantify activity in brain PET and SPECT scans using a ROI count method. It displays co-registered PET, SPECT and CT images, along with output from quantification of activities reflecting regional concentrations of FDG, amyloid imaging agents, SPECT perfusion and dopamine transporter radiotracers, relative to activities in any of several user-selected reference regions or whole brain. It provides for displaying and quantifying the regional differences between two PET or SPECT brain studies for the same patient, or the levels of amyloid imaging agents retained in specified brain regions of a patient, and for assisting the user in the examination of brain scans acquired for assessing neurodegenerative processes underlying symptoms of cognitive and movement disorders by comparing regional activity values to each other and to those in brain scans acquired for asymptomatic control subjects. These neurodegenerative processes can be Alzheimer's disease, Lewy body dementia. Parkinson's disease with dementia, vascular dementia, and frontotemporal dementia. The product is intended for use by trained nuclear medicine physicians. The clinician remains ultimately responsible for the final interpretation and diagnosis based on standard practices and visual interpretation of all SPECT and PET data.
Device Story
NeuroQ 3.8 is a software program for nuclear medicine workstations; processes brain PET and SPECT images. Inputs: PET, SPECT, and CT scan data. Operation: performs automated regional quantification of radiotracer activity (FDG, amyloid, perfusion, dopamine transporter) using ROI count method; compares patient data against asymptomatic control databases; performs image fusion and longitudinal study comparisons. Output: quantified regional activity values, statistical significance maps, and co-registered images. Used in clinical settings by nuclear medicine physicians/technicians. Clinicians use output as an adjunct to visual scan interpretation and clinical history to aid diagnosis of neurodegenerative disorders. Benefits: provides objective quantitative data to support diagnostic assessment of cognitive and movement disorders.
Clinical Evidence
Clinical validation established through previous 510(k) submissions (K041022, K072307, K130451). Validation for basal ganglia analysis demonstrated high inter-observer reproducibility (Pearson r=0.59 to 0.78, p<0.00001). Sensitivity, specificity, and overall accuracy for quantification-based dichotomized interpretations were reported at ≥90%.
Technological Characteristics
Software-based display and analysis program; runs in IDL (Interactive Data Language) environment on nuclear medicine computer systems. Features automated ROI-based quantification, image fusion (PET/SPECT/CT), and statistical comparison against normative databases. Connectivity: standalone workstation software. Cybersecurity: MD5 checksums, encryption, user authentication, and signed installers.
Indications for Use
Indicated for use by trained nuclear medicine physicians to assist in the examination of brain PET and SPECT scans for assessing neurodegenerative processes (Alzheimer's, Lewy body dementia, Parkinson's with dementia, vascular dementia, frontotemporal dementia) in patients with symptoms of cognitive and movement disorders.
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.
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August 16, 2018
Image /page/0/Picture/1 description: The image shows the logos of the Department of Health and Human Services and the Food and Drug Administration (FDA). The Department of Health and Human Services logo is on the left, and the FDA logo is on the right. The FDA logo is a blue square with the letters "FDA" in white, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Syntermed, Inc. % Mr. Kenneth Van Train President 245 South Owens Drive ANAHEIM CA 92808
Re: K180077
Trade/Device Name: NeuroQ 3.8 Regulation Number: 21 CFR 892.1200 Regulation Name: Emission computed tomography system Regulatory Class: II Product Code: KPS Dated: July 13, 2018 Received: July 20, 2018
Dear Mr. Van Train:
We have reviewed vour Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
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## https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.html; good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K180077
Device Name NeuroQ 3.8
#### Indications for Use (Describe)
The NeuroQ™ 3.8 program is used to regionally quantify activity in brain PET and SPECT scans using a ROI count method. It displays co-registered PET, SPECT and CT images, along with output from quantification of activities reflecting regional concentrations of FDG, amyloid imaging agents, SPECT perfusion and dopamine transporter radiotracers, relative to activities in any of several user-selected reference regions or whole brain. It provides for displaying and quantifying the regional differences between two PET or SPECT brain studies for the same patient, or the levels of amyloid imaging agents retained in specified brain regions of a patient, and for assisting the user in the examination of brain scans acquired for assessing neurodegenerative processes underlying symptoms of cognitive and movement disorders by comparing regional activity values to each other and to those in brain scans acquired for asymptomatic control subjects. These neurodegenerative processes can be Alzheimer's disease, Lewy body dementia. Parkinson's disease with dementia, vascular dementia, and frontotemporal dementia.
The product is intended for use by trained nuclear medicine physicians. The clinician remains ultimately responsible for the final interpretation and diagnosis based on standard practices and visual interpretation of all SPECT and PET data.
| Type of Use (Select one or both, as applicable) | |
|-----------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------|
| <div style="display:flex; align-items:center;"><span> </span>Prescription Use (Part 21 CFR 801 Subpart D)</div> | <div style="display:flex; align-items:center;"><span> </span>Over-The-Counter Use (21 CFR 801 Subpart C)</div> |
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# ltem l
# 510(k) SUMMARY
# Safety and Effectiveness
1. Medical Device Establishment:
Syntermed. Inc. Registration No. 1066019 Owner Operator I.D. 9041128 Device Requlation Number: 892.1200 Product Code: KPS Classification Panel: Radiology Voice: (888) 263-4446 ext 102, FAX: (714) 281-1290 Contact person: Kenneth F. Van Train Syntermed, Inc. Address: 130 Wieuca Road Suite 108 Atlanta, GA 30342 Email: vantrain@syntermed.com
Date Summary Prepared: April 5, 2018
2. Medical Device:
Common/Unusual Name: NeuroQ 3.8 - Display and Analysis program for PET Brain studies.
Classification Name - System, Tomography, Computed, Emission
# 3. Medical Device Equivalence:
- NeuroQ™ 3.6, Reference #: K130451 ●
- Hermes Medical Solutions AB, Hermes Medical Imaging Suite v5.2, Reference #: ● K121278.
- General Electric Xeleris 4.0 Processing and Review Workstation, Reference #: ● K153355.
# 4. Device Description:
NeuroQ™ 3.8 has been developed to aid in the assessment of human brain scans through quantification of mean pixel values lying within standardized regions of interest, and to provide quantified comparisons with brain scans derived from FDG-PET studies of defined
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groups having no identified neuropsychiatric disease or symptoms, i.e., asymptomatic controls (AC). The Program provides automated analysis of brain PET scans, with output that includes quantification of relative activity in 240 different brain regions, as well as measures of the magnitude and statistical significance with which activity in each region differs from mean activity values of brain regions in the AC database. The program can also be used to compare activity in brain regions of individual scans between two studies from the same patient, between symmetric regions of interest within the brain PET study, to perform an image fusion of the patients PET and CT data, and to provide analysis of amyloid uptake levels in the brain. The program can also be used to provide a quantitative analysis of uptake levels in basal ganglia structures of the brain. This program was developed to run in the IDL operating system environment, which can be executed on any nuclear medicine computer systems which support the IDL software platform. The program processes the studies automatically, however, user verification of output is required and manual processing capability is provided.
## 5. Indication for use and Potential Adverse Effect on Health:
The NeuroQ™ 3.8 program is used to regionally quantify activity in brain PET and SPECT scans using a ROI count method. It displays co-registered PET, SPECT and CT images, along with output from quantification of activities reflecting regional concentrations of FDG, amyloid imaging agents, SPECT perfusion and dopamine transporter radiotracers, relative to activities in any of several user-selected reference regions or whole brain. It provides for displaying and quantifying the regional differences between two PET or SPECT brain studies for the same patient, or the levels of amyloid imaging agents retained in specified brain regions of a patient, and for assisting the examination of brain scans acquired for assessing neurodegenerative processes underlying symptoms of cognitive and movement disorders by comparing regional activity values to each other and to those in brain scans acquired for asymptomatic control subjects. These neurodegenerative processes can be Alzheimer's disease, Lewy body dementia, Parkinson's disease with dementia, vascular dementia, and frontotemporal dementia.
The product is intended for use by trained nuclear technicians and nuclear medicine physicians. The clinician remains ultimately responsible for the final interpretation and diagnosis based on standard practices and visual interpretation of all SPECT and PET data.
This program serves merely as a display and processing program to aid in the diagnostic interpretation of a patient's study. It was not meant to replace or eliminate the standard visual analysis of the PET brain scan. The physician should integrate all of the patients' clinical and diagnostic information, i.e. patients' history, quality control images, visual interpretation of the PET brain scan, and quantitative results, prior to making his final interpretation. This comprehensive processing technique (as with all diagnostic imaging) is not perfect, and will be associated with some false positive and false negative results. This program has no direct adverse effect on health since the results represent only a part of the information, which the physician will utilize for his final interpretation. The final responsibility for interpretation of the study lies with the physician.
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## Cybersecurity
The risks associated with cybersecurity and the NeuroQ™ medical device have been assessed and resolved to a satisfactory level. The risks are associated with the files or images being corrupted by a security breach. There are methods in place to prevent this corruption through MD5 checksums, encryption, multiple patient labels on output screens to allow for patient authentication by users, and using methods for compiling of code and interfaces that substantially reduce or eliminate the ability to corrupt the code. In addition, it is the responsibility of the local information technology personnel at the institution to implement the necessary security methods and procedures to restrict access to the computers and data stored on these systems. Some of these methods include limiting access to trusted users through user ID and passwords, implementing timed methods to terminate sessions, and using strengthen password protection methods. They should also ensure trusted content and implement methods for detection of security compromises and for retention and recovery.
New software versions as well as patches are compiled and moved to a known clean computer and are checked there for viruses and malware. Software is then packaged together into an installer which is signed with a key to ensure the installer remains intact throughout testing and on to distribution.
Validated software updates and patches are provided at least annually and whenever a cybersecurity risk is identified. Notification of availability of these patches is made through the software itself. These updates are delivered as signed installers that present signature information to the user to confirm validity of the source of the patch.
It is always recommended that the installation environment have adequate, updated antivirus and anti-malware scanners in place. It is also recommended that a firewall, by default, deny all inbound and outbound traffic on the network. At installation time, a list of ports and destinations for firewall exceptions is provided specific to each installation.
### 6. Marketing History:
There have been other medical device programs marketed in the past which perform similar functions to those performed by the NeuroQ™ 3.8 program. Most Nuclear Medicine manufacturers have programs that can co-register SPECT/PET data and some of them have programs for comparison of the patient's data to a reference database. NeuroQ™ 3.8 provides a program which executes in the IDL operating system environment and we believe is substantially equivalent to our previous version of NeuroQ™ - PET DP K041022, NeuroQ™ 3.0 (510(k) #: K072307, NeuroQ™ 3.6 (510(k) #: K130451, and Hermes Medical Solutions AB, Hermes Medical Imaging Suite v5.2, Reference K121278. To our knowledge there have been no safety problems with NeuroQ™ - PET DP K041022 which has been in the marketplace since June 2004, NeuroQ™ 3.0 510(k) #: K072307 which has been in the marketplace since March 14, 2008, NeuroQ™ 3.6 510(k) #: K130451 which has been in the marketplace since May 17, 2013, Hermes Medical Solutions AB, Hermes Medical Imaging Suite v5.2, Reference K121278 which has been in the marketplace since December 18,
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2012, or General Electric Xeleris 4.0 Processing and Review Workstation, Reference #: K153355 which has been in the marketplace since March 16, 2016.
# 7. Performance Testing Summary
### Non-clinical tests:
We have compared the processing and output of the substantially equivalent devices in their literature, web site, and Pre-Market Notification Summaries for Hermes (DATSCAN™) and General Electric (DaTQUANT™). Both of these programs provide similar analysis as the DaTSCAN analysis in NeuroQ v3.8. They all enable visual evaluation and quantification of the DaTSCAN images. They provide a normal database to enable quantification relative to a population of DaTSCAN images without reduced uptake of the dopamine transporter radiotracer (DaTSCAN). All of these medical devices provide a method for automatically defining regions of interest over the left and right basal ganglia and to calculate uptake values for the administered radiopharmaceutical imaging agent (DaTSCAN) in these regions. They all provide analysis of the basal ganglia using the SPECT DaTSCAN imaging agent.
# Clinical tests:
The safety of this program has been determined through the various stages of software development which included the initial design, coding, debugging, testing, and validation. The effectiveness of the initial program, NeuroQ™ - PET DP and NeuroQ™ 3.0, has been established in in-house testing and clinical validation studies submitted in our previous 510(k) K041022 and 510(k) #: K072307. The validation for basal ganglia analysis consisted of determining the inter-observer reproducibility of determinations of the scans being without versus with reduced dopamine transporter and the accuracy of the application. Inter-observer reproducibility was highly significant, even between trainee interpreters using the module for quantifying basal ganglia sub regions (e.g., ratios of right posterior putamen to right anterior putamen Pearson coefficient r=0.59, p=0.00002: ratios of left posterior putamen to left anterior putamen r=0.78, p<0.00001). The sensitivity, specificity, and overall accuracy of quantification-based dichotomized interpretations were all at least 90%.
The results of this validation showed that the analysis of dopamine transporter uptake provides a high accuracy for this analysis and we contend that his validation provides adequate supporting data that this new indication is safe and effective. In addition, we believe that this indication is substantially equivalent to the indications of the predicate devices and is as safe and effective and performs as well as or better than the legally marketed predicate devices,
## 8. Conclusions:
The safety of this program has been determined through the various stages of software development which included the initial design, coding, debugging, testing, and validation. The effectiveness of the initial program, NeuroQ™ - PET DP and NeuroQ™ 3.0, has been established in in-house testing and clinical validation studies submitted in our previous 510(k) K041022, 510(k) #: K072307, and 510(k) #: K130451. Specific details and results
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concerning the validation of the NeuroQ™ 3.8 program are listed in Item H, Testing & Validation. We contend that the method employed for the development and the final inhouse validation results of this medical display software program, NeuroQ™ 3.8, have proven its safety and effectiveness. In our opinion, NeuroQ™ 3.8 program is substantially equivalent to our previous version of NeuroQ™ - PET DP, NeuroQ™ 3.0, NeuroQ™ 3.6 program, Hermes Medical Imaging Suite v5.2, or General Electric Xeleris 4.0 Processing and Review Workstation which have all been cleared for marketing. NeuroQ™ 3.8 program is intended for the same purpose and raises no new issues of safety or effectiveness.
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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
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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.
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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.
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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.