NovaPACS is intended for the viewing, archiving, analysis, annotation, distribution, editing, fusion, and processing of digital medical images and data acquired from diagnostic imaging devices and all DICOM devices, including mammography. NovaPACS is intended for use by trained healthcare professionals, including radiologists, physicians, technologists, clinicians, and nurses. NovaPACS allows the end user to display, manipulate, archive, and evaluate images. Mobile devices are not intended to replace a full workstation and should be used only when there is no access to a workstation. They are not to be used for mammography or fMRI. Mobile devices are used for diagnosis of medical images from different modalities including CT, MR, US, CR/DX, NM, PT, and XA. For a list of compatible mobile platforms see NovaPACS Diagnostic Viewer User Manual. While NovaPACS full workstation provides tools to assist the healthcare professional determine diagnostic viability, it is the user's responsibility to ensure quality, display contrast, ambient light conditions, and to confirm image compression ratios are consistent with the generally accepted standards of the clinical application. NovaPACS is intended for providing analysis and visualization of functional MRI data of the human brain, presenting derived properties and parameters in a clinically useful context.
Device Story
NovaPACS is a PACS software platform for retrieving, archiving, and displaying digital medical images from various modalities (CT, MR, US, CR/DX, NM, PT, XA). Operated by healthcare professionals in hospitals/clinics, it runs on third-party hardware connected to local area networks. The system provides tools for image manipulation (window/level, zoom, pan, fusion, 3D rendering, vessel analysis) and fMRI analysis. fMRI processing highlights susceptibility changes in the brain related to blood flow during neuronal stimulation. Output is displayed on workstations or mobile devices to assist clinicians in diagnostic evaluation. The device integrates with RIS via HL7. It benefits patients by providing centralized, efficient access to diagnostic data and advanced functional brain imaging analysis.
Clinical Evidence
No clinical data. Bench testing only. Nineteen test cases were performed to validate fMRI software functionality; all 19 passed. Verification and validation activities included iteration testing, acceptance testing, and bug remediation to ensure safety and performance specifications were met.
Technological Characteristics
Software-based PACS; runs on third-party off-the-shelf hardware. Connectivity via local area network; supports DICOM and HL7 integration. Features include 3D rendering, fusion, and fMRI processing. fMRI pipeline includes scalp stripping, 3D motion correction, smoothing, coregistration, MNI template normalization, and warping. No specific hardware materials or sterilization methods applicable as it is a software system.
Indications for Use
Indicated for trained healthcare professionals (radiologists, physicians, technologists, clinicians, nurses) to view, archive, analyze, and process digital medical images from DICOM-compliant diagnostic imaging devices. Includes functional MRI analysis of the human brain. Mobile use restricted: not for mammography or fMRI; secondary to full workstations.
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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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
July 28, 2017
Novarad Corporation % Mr. Doug Merrill Regulatory and Compliance Manager 752 East 1180 South #200 AMERICAN FORK UT 84003
Re: K171754 Trade/Device Name: NovaPACS Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: June 5, 2017 Received: June 13, 2017
Dear Mr. Merrill:
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.
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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
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) K171754
Device Name NovaPACS
#### Indications for Use (Describe)
NovaPACS is intended for the viewing, archiving, analysis, annotation, distribution, editing, fusion, and processing of digital medical images and data acquired from diagnostic imaging devices and all DICOM devices, including mammography.
NovaPACS is intended for use by trained healthcare professionals, including radiologists, physicians, technologists, clinicians, and nurses. NovaPACS allows the end user to display, manipulate, archive, and evaluate images.
Mobile devices are not intended to replace a full workstation and should be used only when there is no access to a workstation. They are not to be used for mammography or fMRI. Mobile devices are used for diagnosis of medical images from different modalities including CT, MR, US, CR/DX, NM, PT, and XA. For a list of compatible mobile platforms see NovaPACS Diagnostic Viewer User Manual.
While NovaPACS full workstation provides tools to assist the healthcare professional determine diagnostic viability, it is the user's responsibility to ensure quality, display contrast, ambient light conditions, and to confirm image compression ratios are consistent with the generally accepted standards of the clinical application.
NovaPACS is intended for providing analysis and visualization of functional MRI data of the human brain, presenting derived properties and parameters in a clinically useful context.
Type of Use (Select one or both, as applicable)
2 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)
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#### 510(K) SUMMARY
#### Submitter
Novarad Corporation
752 East 1180 South, Suite 200
American Fork, UT 84003
E-mail: doug.merrill(@novarad.net
Phone: 801-642-1001
Contact Person: Doug Merrill
Date Summary Prepared: 9 January 2015
#### Device Name
Trade Name: NovaPACS
Common Name: PACS
Classification Name: System, Imaging Processing, Radiological
#### Predicate Devices
| K160371 | NovaPACS | Novarad Corporation |
|---------|------------------------|---------------------|
| K133910 | nordicBrainEx Software | NordicNeuroLab AS |
#### Indication for Use
NovaPACS is intended for the viewing, archiving, analysis, annotation, distribution, editing, fusion, and processing of digital medical images and data acquired from diagnostic imaging devices and all DICOM devices, including mammography.
NovaPACS is intended for use by trained healthcare professionals, including radiologists, physicians, technologists, clinicians, and nurses. NovaPACS allows the end user to display, manipulate, archive, and evaluate images.
Mobile devices are not intended to replace a full workstation and should be used only when there is no access to a workstation. They are not to be used for mammography or fMRI. Mobile devices are used for diagnosis of medical
#### Novarad 510(k) Submission | 2017
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images from different modalities including CT, MR, US, CR/DX, NM, PT, and XA. For a list of compatible mobile platforms see NovaPACS Diagnostic Viewer User Manual.
While NovaPACS full workstation provides tools to assist the healthcare professional determine diagnostic viability, it is the user's responsibility to ensure quality, display contrast, ambient light conditions, and to confirm image compression ratios are consistent with the generally accepted standards of the clinical application.
NovaPACS is intended for providing analysis and visualization of functional MRI data of the human brain, presenting derived properties and parameters in a clinically useful context.
# Device Description
NovaPACS is a picture archiving and communication system software that retrieves, archives, and displays images and data from all common modalities. NovaPACS uses a variety of workstations, including a Technologist Workstation, Enterprise Radiologist Workstation, Cardio Viewer and Workstation, NovaMG Workstation, and NovaWeb Web Viewer.
The NovaPACS software makes images and data available in digital format from all common modalities. The images are viewed on a computer monitor or portable device. NovaPACS tools/features include the following: window, level, zoom, pan, digital subtraction, ejection, cross localization, note-taking ability, voice dictation, and other similar tools. It includes the capability to measure distance and image intensity values, such as standardized uptake value. NovaPACS displays measurement lines, annotations, regions of interest, and fusion blending control functionality. Advanced features include 3D image rendering, virtual fly-through, time domain imaging, vessel analysis, and blood oxygen level dependent (BOLD) fMRI.
BOLD fMRI analysis is used to highlight small susceptibility changes in the human brain in areas with altered bloodflow resulting from neuronal stimulation. The Functional Processing Software includes features such as scalp stripping, 3D motion correction, smoothing, coregistration, normalize images to MNI templates, and warping.
Images and data are stored on a digital archive with multiple redundances; images and data are available on-site and off-site. Novarad provides all software, including third party software (i.e. Windows® OS). NovaPACS software resides on third party hardware, which may vary depending on the client's PACS needs. All hardware is connected to the radiology department local area network.
NovaPACS integrates with NovaRIS and may integrate with any other third party RIS software that has HL7 interface capabilities.
NovaPACS integrates with Novarad Mobile Rad application and web viewers to display data on 3rd party mobile platforms. Mobile devices are not intended to replace full workstation and should be used only when there is no access to a workstation. They are not to be used for mammography or fMRI.
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### Substantial Equivalence
Research and testing data provide evidence that NovaPACS is substantially equivalent to the represented predicate devices: NovaPACS, a class II device under 21 CFR 892.2050 and nordicBrainEx Software, a class II device under 892.2050.
NovaPACS and all predicate devices are Radiological Image Processing Systems which retrieve, store, and display images from DICOM compliant medical imaging modalities and/or systems. All are intended to be used in healthcare settings, such as hospitals and clinics, on 3d party off-the-shelf hardware, and connected to a local area network. All are intended to provide qualified medical professionals with a variety of tools and software for the viewing, analysis, and annotation of medical images.
The new version of NovaPACS for which this submission is an upgraded version of the predicate NovaPACS device. The new version of NovaPACS software differs from the NovaPACS predicate software in intended use by providing algorithms designed to analyze functional MRI data of the brain. Although this feature was not available in the previous version of NovaPACS, this similar feature is already available in other predicate device listed.
Performance testing results show that the fMRI software features of NovaPACS operate correctly and safely and meet equivalent objectives and perform equivalent functions as those represented in the predicate devices. Performance testing also shows that the unique combination of safety features represented in NovaPACS does not raise any additional safety concerns.
There are no clinical tests to compare Noval ACS and predicate devices, as they are software products that send and store images and information.
# Performance Testing
Functional MRI software testing has been performed for NovaPACS to safety and efficacy of the device. Nineteen test cases were run on the NovaPACS to fulfill the fMRI requirements. All 19 test cases passed. We believe that the testing performed so far is sufficient to conclude that the features and functionality of NovaPACS fMRI software is substantially equivalent to that of the predicate devices, and that it does not rasse any new safety concerns.
Verification and validation activites are performed on NovaPACS during software development prior to release, and in an ongoing manner for any updates. NovaPACS software passes all performance requirements and meets all specifications prior to release, including:
- All requirements in the iteration have a test case and the test case has run and passed a.
- b. All Acceptance tests have passed
- All Current tests have passed C.
- All high-impact bugs have been corrected and verified by Quality Assurance d.
- e. Any unresolved anomalies have been assessed in a risk meeting, and it has been found that they do not pose a safety risk to the end user (or their patients) and do not substantially affect the performance of NovaPACS software.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the 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.