HESTIA is indicated for generating mammographic images that can be used for screening and diagnosis of breast cancer. HESTIA is intended to be used in the same clinical applications as traditional film/screen systems.
Device Story
HESTIA is a Full-Field Digital Mammography (FFDM) system used for screening and diagnostic imaging of breast tissue. The system comprises an X-ray generator, C-arm compression device, X-ray tube stand, detector, and an acquisition workstation. It captures X-ray signals to produce digital images of internal breast structures, aiding in the detection of micro-calcifications or tumors. Operated by clinicians in medical facilities, the system supports Manual, Semi-auto, and Auto exposure modes. Output images are viewed by radiologists via a DICOM-compatible workstation to inform clinical decision-making regarding breast cancer diagnosis. The device benefits patients by providing high-quality digital diagnostic imaging for early cancer detection.
Clinical Evidence
Clinical image evaluation conducted per FDA Class II Special Controls Guidance for FFDM. Images were reviewed by MQSA-qualified expert radiologists and determined to be of acceptable quality for mammographic usage, demonstrating substantial equivalence to the predicate device. No clinical diagnostic performance metrics (sensitivity/specificity) were reported; evidence relies on image quality assessment.
Technological Characteristics
FFDM system; X-ray generator; C-arm compression; digital detector. Compliance with IEC 60601-1, 60601-1-2, 60601-1-3, 60601-1-6, 60601-2-45. Biocompatibility per ISO 10993-1, -5, -10. Risk management per ISO 14971. Software lifecycle per IEC 62304. Connectivity: DICOM-compliant workstation.
Indications for Use
Indicated for screening and diagnosis of breast cancer in patients requiring mammographic imaging. Used in clinical settings including internal medicine, examination centers, OB/GYN, women's medicine, and breast surgery.
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.
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FDA U.S. FOOD & DRUG ADMINISTRATION
July 17, 2025
GENORAY Co., Ltd.
Jiyeon Choi
Manager
60, Dunchon-daero 541beon-gil
Jungwon-gu
Seongnam-si, Gyeonggi-do 13212
Korea, South
Re: K243420
Trade/Device Name: HESTIA
Regulation Number: 21 CFR 892.1715
Regulation Name: Full-field digital mammography system
Regulatory Class: Class II
Product Code: MUE
Dated: June 10, 2025
Received: June 10, 2025
Dear Jiyeon Choi:
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 (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K243420 - Jiyeon Choi
Page 2
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/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-devices/device-advice-comprehensive-regulatory-
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K243420 - Jiyeon Choi
Page 3
assistance/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,
# YANNA S. KANG -S
Yanna Kang, Ph.D.
Assistant Director
Mammography and Ultrasound Team
DHT8C: Division of Radiological
Imaging and Radiation Therapy Devices
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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FORM FDA 3881 (8/23)
Page 1 of 1
PSC Publishing Services (301) 443-6740
EF
| DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use | Form Approved: OMB No. 0910-0120 Expiration Date: 07/31/2026 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K243420 | |
| Device Name HESTIA | |
| Indications for Use (Describe) HESTIA is indicated for generating mammographic images that can be used for screening and diagnosis of breast cancer. HESTIA is intended to be used in the same clinical applications as traditional film/screen systems. | |
| 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." | |
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510(k) #: K243420
510(k) Summary
Prepared on: 2025-07-17
| Contact Details | 21 CFR 807.92(a)(1) |
| --- | --- |
| Applicant Name | GENORAY Co., Ltd. |
| Applicant Address | 60, Dunchon-daero 541beon-gil Jungwon-gu Seongnam Gyoenggido 13212 Korea, South |
| Applicant Contact Telephone | +823151785770 |
| Applicant Contact | Ms. INYOUNG KIM |
| Applicant Contact Email | iykim@genoray.com |
| Device Name | 21 CFR 807.92(a)(2) |
| Device Trade Name | HESTIA |
| Common Name | Full-field digital mammography system |
| Classification Name | Full Field Digital, System, X-Ray, Mammographic |
| Regulation Number | 892.1715 |
| Product Code(s) | MUE |
| Legally Marketed Predicate Devices | 21 CFR 807.92(a)(3) |
| Predicate # | Predicate Trade Name (Primary Predicate is listed first) |
| K212873 | Aspire Cristalle |
| Product Code | MUE |
| Device Description Summary | 21 CFR 807.92(a)(4) |
| HESTIA is a Full-Field Digital Mammography (FFDM) System for screening, diagnostic on standing or seated patients. The system consists of a control unit with x-ray generator, a compression device(C-arm) with tube housing assembly, and X-ray tube stand, including detector and a console with an operation panel. The HESTIA comes with a variety of compression plates for diagnostic adjunct procedures.
The system is mainly used in internal medicine, examination centers, obstetrics and gynecology, women's medicine, breast surgery, and imaging. Mammography X-rays are used to obtain diagnostic images of the breast's internal structure to diagnose changes more accurately in breast tissue or potential signs of breast cancer, such as micro-calcification or tumors.
HESTIA has three output control mode, Manual mode, Semi-auto mode, and Auto mode.
It is customized and dedicated acquisition workstation and can PACS accessibility with full DICOM capability. | |
| Intended Use/Indications for Use | 21 CFR 807.92(a)(5) |
| HESTIA is indicated for generating mammographic images that can be used for screening and diagnosis of breast cancer. HESTIA is intended to be used in the same clinical applications as traditional film/screen systems. | |
| Indications for Use Comparison | 21 CFR 807.92(a)(5) |
| The indications for use for HESTIA are the same as for the predicate device. | |
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Technological Comparison
21 CFR 807.92(a)(6)
HESTIA has identical indications for use and technical characteristic as its predicate device.
The characteristics of HESTIA is identical to those of the predicate device regarding indication for use, patient population, exposure mode, x-ray focal spot size, target material, target angle, kV range, Type of geometry, Software Controlled functions(AEC Calculation, DICOM)
The criteria below are similar or different. but, There is no significant difference between the HESTIA and the predicate device that would adversely affect the use of the product.
- Breast Compression system
- Added filter is similar to that of predicate device, but provides more option than predicate device. Inherent filtration is similar to that of predicate device, but has a lower than predicate device.
- Nominal maximum output power, mAs range, SID, Source to breast support distance are similar to that of predicate device, these values are higher than predicate device or at a value of similar level.
- Sensor material of the detector is different for the predicate device and subject device, but the active area and active array are similar.
- Operating system is similar to that of predicate device.
Even though the predicate device and the subject device differ, the differences are not critical in terms of the diagnostic purposes because the clinical image evaluation demonstrate that the subject devices are substantially equivalent to the predicate device. Therefore, the subject device is substantially equivalent to the predicate device.
# Non-Clinical and/or Clinical Tests Summary & Conclusions 21 CFR 807.92(b)
[Summary of Non-Clinical data]
To demonstrate safety and effectiveness of HESTIA and to show substantial equivalence to the predicate device, HESTIA completed the following non-clinical tests. Results confirm that the design inputs and performance specifications for the device are met. The HESTIA passed the testing in accordance with internal requirements, national standards, and international standards shown below, supporting its safety and effectiveness, and its substantial equivalence to the predicate device:
HESTIA has been tested by 3rd party Nationally Recognized Testing Laboratories to be in compliance with the following International Standards:
IEC 60601-1 Medical electrical equipment - Part 1: General requirements for basic safety and essential performance;
IEC 60601-1-2 Medical Electrical Equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility - Requirements and tests
IEC 60601-1-3 Medical electrical equipment - Part 1-3: General requirements for basic safety and essential performance - Collateral Standard: Radiation protection in diagnostic X-ray equipment
IEC 60601-1-6 Medical electrical equipment - Part 1-6: General requirements for basic safety and essential performance - Collateral standard: Usability
IEC 60601-2-45 Medical electrical equipment - Part 2-45: Particular requirements for the basic safety and essential performance of mammographic X-ray equipment and mammographic stereotactic devices
ISO 10993-1 Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process
ISO 10993-5 Biological evaluation of medical devices - Part 5: Tests for in vitro cytotoxicity
ISO 10993-10 Biological evaluation of medical devices - Part 10: Tests for irritation and skin sensitization
IEC 62304 Medical device software - Software life cycle processes
ISO 14971 Medical Devices - Application of Risk Management to Medical Devices.
And Physical laboratory testing in accordance with the Guidance for Industry and FDA Staff: Class II Special Controls Guidance Document: Full Field Digital Mammography System issued on April 4, 2012 (Section 9 Clinical Image Evaluation) was conducted with the HESTIA. For all tests, the proposed device demonstrated substantial equivalence to the predicate device.
Summary of physically laboratory testing results:
1. Sensitometric response
2. Spatial resolution
3. Noise analysis
4. Signal-to-Noise Ratio Transfer-DQE
5. Dynamic range
6. Repeated exposures Test (Lag Effect)
7. AEC Performance (CNR and SRN)
8. Phantom test - ACR Map
9. Phantom test - CDMAM
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10. Patient radiation dose - Mean Glandular Dose
[Summary of Clinical data]
A clinical image evaluation in accordance with the Guidance for Industry and FDA Staff: Class II Special Controls Guidance Document: Full Field Digital Mammography System issued on April 4, 2012 (Section 9 Clinical Image Evaluation) was conducted with the HESTIA and determined that the images, reviewed by MQSA qualified expert radiologists, were of sufficiently acceptable quality for mammographic usage and that the images are substantially equivalent to those from predicate device.
[Conclusion]
HESTIA has the same intended use as the predicate device. Any minor differences in the technological characteristics of the subject device when compared to the predicate device have been successfully evaluated through appropriate safety and performance testing which demonstrates that the subject device, when compared to the predicate device, does not raise any new questions of safety and effectiveness. Therefore, HESTIA has been determined to be substantially equivalent to predicate device.
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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.