K211725 · GE Healthcare · MUE · Aug 6, 2021 · Radiology
Device Facts
Record ID
K211725
Device Name
Senographe Pristina
Applicant
GE Healthcare
Product Code
MUE · Radiology
Decision Date
Aug 6, 2021
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1715
Device Class
Class 2
Indications for Use
The Senographe Pristina system is intended to be used in the same clinical applications as traditional mammographic film/ screen systems. It generates digital mammographic images which can be used for screening and diagnosis of breast cancer.
Device Story
Senographe Pristina is a full-field digital mammography system. This submission introduces a software update to the eContrast image post-processing algorithm. The device takes DICOM 'for processing' mammographic images as input. The eContrast algorithm optimizes local contrast while reducing dynamic range to enhance structure visibility. The updated algorithm uses a 3-band decomposition for specific settings (2-5) to provide increased flexibility, while settings 1 and 6 retain the original 2-band decomposition. The system is used in clinical settings by radiologists to generate 'for presentation' images. The output assists clinicians in the screening and diagnosis of breast cancer. The modification is software-only, compatible with the existing installed base, and requires no hardware changes.
Clinical Evidence
Clinical evidence included a clinical image review by radiologists using objective criteria to demonstrate image acceptability. Non-clinical bench testing included image quality and dose testing, confirming that images generated with the new eContrast version are of equivalent quality to the predicate at similar dose levels.
Technological Characteristics
Full-field digital mammography system. Software-only modification to the eContrast post-processing algorithm. The algorithm utilizes multi-band decomposition (2-band or 3-band) to optimize local contrast and dynamic range. The system operates under 21 CFR 892.1715. Development followed ISO 13485 and 21 CFR 820 quality system regulations.
Indications for Use
Indicated for screening and diagnosis of breast cancer in patients requiring mammographic imaging.
Regulatory Classification
Identification
A full-field digital mammography system is a device intended to produce planar digital x-ray images of the entire breast. This generic type of device may include digital mammography acquisition software, full-field digital image receptor, acquisition workstation, automatic exposure control, image processing and reconstruction programs, patient and equipment supports, component parts, and accessories.
Special Controls
*Classification.* Class II (special controls). The special control for the device is FDA's guidance document entitled “Class II Special Controls Guidance Document: Full-Field Digital Mammography System.”*See* § 892.1(e) for the availability of this guidance document.
{0}------------------------------------------------
August 6, 2021
Image /page/0/Picture/1 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which consists of the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG" in blue, and then the word "ADMINISTRATION" in a smaller font size below that.
GE Healthcare % Barthélémy Arman Regulatory Affairs Leader 283 rue de la Minière BUC, 78530 FRANCE
Re: K211725
Trade/Device Name: Senographe Pristina Regulation Number: 21 CFR 892.1715 Regulation Name: Full-field digital mammography system Regulatory Class: Class II Product Code: MUE Dated: June 4, 2021 Received: June 4, 2021
Dear Barthélémy Arman:
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. 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
{1}------------------------------------------------
devices or postmarketing safety reporting (21 CFR 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 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 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 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.
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
### Indications for Use
510(k) Number (if known) K211725
Device Name Senographe Pristina
Indications for Use (Describe)
The Senographe Pristina system is intended to be used in the same clinical applications as traditional mammographic film/ screen systems. It generates digital mammographic images which can be used for screening and diagnosis of breast cancer.
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)
### CONTINUE ON A SEPARATE PAGE IF NEEDED.
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."
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image shows the text "510(k) Premarket Notification Submission". The text is written in a simple, sans-serif font and is left-aligned. The background is plain white, which makes the text stand out clearly. The text suggests that the image is related to a medical device regulatory document.
Image /page/3/Picture/2 description: The image shows the logo for General Electric (GE). The logo is a blue circle with the letters "GE" in white inside. There are also some white swirls around the letters. The logo is simple and recognizable.
## 510(k) Summary — K211725
In accordance with 21 CFR 807.92 the following summary of information is provided:
| Date: | August 6th, 2021 |
|-----------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submitter: | GE Healthcare<br>GE Medical Systems SCS<br>283 RUE DE LA MINIERE<br>78530 BUC - FRANCE |
| Primary Contact Person: | Barthélémy Arman<br>Regulatory Affairs Leader<br>283 rue de la Minière<br>78530 Buc - FRANCE<br>Phone : +33 1 30 70 40 40<br>Email : Barthelemy.ARMAN1@ge.com |
| Secondary Contact Person: | Gregory Pessato,<br>Regulatory Affairs Senior Manager,<br>GE Medical Systems SCS<br>283 RUE DE LA MINIERE<br>78530 BUC - FRANCE<br>Phone : + 33 1 30 70 93 16<br>Email : gregorypessato@ge.com |
| Device Trade Name: | Senographe Pristina [Design change: New version of eContrast] |
| Common/Usual Name: | Full Field Digital,System,X-Ray,Mammographic |
| Classification Names: | 21 CFR 892.1715, Class II |
| Product Code: | MUE |
| Predicate / Reference Device(s): | Senographe Pristina (K162268) – predicate |
| Device Description: | eContrast is an image post-processing algorithm applied to the DICOM<br>"for processing" images in order to generate “for presentation" images.<br>It consists in optimizing the local contrasts while reducing the overall<br>dynamic range.<br>This submission is proposing a software modification consisting of a<br>new version of eContrast algorithm for Senographe Pristina platform<br>to allow more flexibility for proposing different levels. |
| | |
| | preserving/enhancing the visibility of the different structures present in<br>the breast image. |
| | The first version of the eContrast image processing was previously<br>cleared for Senographe Essential platform in the 510(k)# K131885. Then<br>it was cleared with Senographe Pristina platform in the 510(k) #<br>K162268. |
| | This design change is a software and labeling only option, compatible<br>with Senographe Pristina installed base and does not require any<br>hardware modification on the Senographe Pristina platform. |
| Intended Use: | The Senographe Pristina system is intended for screening and<br>diagnostic mammography.<br>Note: The intended use of Senographe Pristina cleared in K162268 is not<br>changed. |
| Indications for Use | The Senographe Pristina system is intended to be used in the same<br>clinical applications as traditional mammographic film/screen systems.<br>It generates digital mammographic images which can be used for<br>screening and diagnosis of breast cancer.<br>Note: The Indications for use of Senographe Pristina cleared in K162268<br>are not changed. |
| Technology: | The modification of the eContrast post-processing algorithm is<br>completely independent from all other parts of the digital<br>mammographic equipment Senographe Pristina. Only the software is<br>affected by this change.<br>This new version of eContrast offers as before, 6 settings (eContrast 1<br>to eContrast 6) to accommodate different user preferences. eContrast 1<br>and 6 remain unchanged, with a 2-band decomposition. However, for<br>settings 2, 3, 4 and 5, the new version of eContrast is an extension of<br>the current algorithm with a third band decomposition to allow more<br>flexibility for proposing different levels preserving/enhancing the<br>visibility of the different structures present in the breast image. |
| Substantial Equivalence /<br>Predicate and Reference<br>Devices | The new version of eContrast algorithm for Senographe Pristina does<br>not change the intended use and indications for use to its legally<br>marketed predicate device, the Senographe Pristina with eContrast<br>(K162268).<br>The fundamental principles of operation, functionalities, specifications<br>and technological characteristics of Senographe Pristina remain<br>unchanged.<br>The eContrast post-processing algorithm is modified to allow more<br>flexibility for proposing different levels preserving/enhancing the<br>visibility of the different structures present in the breast image.<br>It was demonstrated in Image Quality Performance Testing that the<br>image quality of Senographe Pristina with this new version of |
| | eContrast performs similarly as its legally marketed predicate device,<br>the Senographe Pristina with eContrast (K162268). |
| Determination of Substantial<br>Equivalence: | Senographe Pristina with the new version of eContrast has successfully<br>completed required design control testing per GE Healthcare's quality<br>management system. No unexpected test results were obtained. The<br>design change was designed and will be manufactured under the<br>Quality System Regulations of 21CFR 820 and ISO 13485. The following<br>quality assurance measures were applied to the development of the<br>system:<br>- Risk Analysis |
| | - Design Reviews |
| | - Software Development Lifecycle |
| | - Testing on unit level (Module verification) |
| | - Integration testing (System verification) |
| | - Performance testing (Verification) |
| | - Safety testing (Verification) |
| | - Simulated use testing (Validation) |
| | The safety and performance of Senographe Pristina with the new<br>version of eContrast was demonstrated through full verification testing<br>and additional engineering bench performance testing such as:<br>- Non-Clinical Data – Image Quality and Dose test that<br>demonstrates that images acquired with Senographe<br>Pristina with the new version of eContrast are of same<br>quality as images acquired with Senographe Pristina with<br>eContrast as cleared in K162268 at similar dose levels.<br>- Clinical Data – Clinical image review by radiologists, with<br>objective criteria defined that demonstrates the clinical<br>image acceptability of images generated with Senographe<br>Pristina with the new version of eContrast.<br>These tests demonstrated the substantial equivalence with the<br>predicate device and concluded that Senographe Pristina with the new<br>version of eContrast do not raise any questions of safety and<br>effectiveness. |
| Conclusion: | Based on: conformance to standards; development under GE<br>Healthcare's quality management system and design controls;<br>successful verification/validation testing and additional bench<br>performance testing and clinical testing, GE Healthcare believes that<br>Senographe Pristina with the new version of eContrast is substantially<br>equivalent to its predicate device Senographe Pristina with eContrast as<br>cleared in K162268. Therefore, GE concludes that Senographe Pristina<br>remains as safe and effective for its intended use as its predicate<br>device. |
{4}------------------------------------------------
# GE Healthcare
______________________________________________________________________________________________________________________________________________________________________________
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 a stylized script in the center. There are three water droplet-like shapes around the perimeter of the circle. The logo is simple and recognizable, and it is associated with a well-known and established company.
# 510(k) Premarket Notification Submission
{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 circular frame. The frame has decorative, water-like flourishes extending outward from the circle at several points. The logo is presented in a light blue color.
# 510(k) Premarket Notification Submission
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.