K992467 · Dba Systems, Inc. · LMA · Feb 10, 2000 · Radiology
Device Facts
Record ID
K992467
Device Name
IMAGCLEAR MAMMOGRAPHY REVIEW SYSTEM
Applicant
Dba Systems, Inc.
Product Code
LMA · Radiology
Decision Date
Feb 10, 2000
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2030
Device Class
Class 2
Indications for Use
The ImagClear® System is intended to digitize analog medical images, which will be viewed, archived, or electronically shared with other health care professionals. The ImagClear® System is specifically indicated for the digitization of mammographic images for review and analysis, but not as the sole basis for screening or diagnosis.
Device Story
ImagClear® System digitizes analog mammography films for electronic review, archiving, and sharing. System integrates two previously cleared components: CCD-based film digitizer (16-bit grayscale, 4K x 5K matrix) and modified Galen™ software. Digitizer converts analog film to digital format; software organizes images into studies/sessions, enables bilateral/comparison displays, and facilitates creation of online mammography reports. Used by physicians or technicians in clinical settings. Output viewed on displays or stored on central file servers. System supports clinical decision-making by providing high-quality digital mammographic images for review; does not provide automated diagnosis.
Clinical Evidence
No clinical data; bench testing only.
Technological Characteristics
CCD-based film digitizer; 16-bit grayscale resolution; minimum 4K x 5K image matrix. Software-based organization and display system. Connectivity via central file server for archiving and sharing. No specific materials or standards cited.
Indications for Use
Indicated for digitization of mammographic images for review and analysis by healthcare professionals. Not for use as the sole basis for screening or diagnosis.
Regulatory Classification
Identification
A medical image digitizer is a device intended to convert an analog medical image into a digital format. Examples include systems employing video frame grabbers, and scanners which use lasers or charge-coupled devices.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std.). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
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FEB 1 0 2000
### 510(k) SUMMARY
# DBA Systems, Inc.'s ImagClear® System
K992467
page 1 of 3
Submitter's Name, Address, Telephone Number, Contact Person and Date Prepared
> Jonathan S. Kahan, Esq. Hogan & Hartson, L.L.P. 555 Thirteenth Street, N.W. Washington, DC 20004-1109
July 23, 1999 Date Prepared:
#### Name of Device and Name/Address of Sponsor
ImagClear® Mammography Review System DBA Systems, Inc. 1200 South Woody Burke Road Melbourne, Florida 32902-0550
#### Common or Usual Name
ImagClear® System
### Classification Name
Picture Archiving and Communication System
#### Predicate Devices
DBA's previously cleared ImagClear® Film Digitizer (K932760) and MedImage, Inc.'s Galen™ Software (K946334)
#### Intended Use
The ImagClear® System is intended to digitize analog medical images, which will be viewed, archived, or electronically shared with other health care professionals. The ImagClear® System is specifically indicated for the digitization of mammographic images for review and analysis, but not as the sole basis for screening or diagnosis.
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## Technological Characteristics and Substantial Equivalence
K992467
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Essentially, the ImagClear® System is composed of two previously cleared devices: (1) the ImagClear® Film Digitizer, which DBA obtained FDA 510(k) clearance for use as a medical film digitizer with a mammography indication; and (2) a modified version of the previously Galen™ Software. The interfacing of these two previously cleared devices raise no new questions of safety or effectiveness because it does not alter the intended use of either device.
The first component of the ImagClear® System, the ImagClear® Film Digitizer, is a CCD-based digitizer which provides 16 bits of grayscale resolution. It produces at minimum a 4K x 5K image matrix, which is adequate for high quality mammography films. The second component of the ImagClear® System, the modified Galen™ Software, organizes the digitized mammography images into studies and sessions. The digitized mammogram studies and sessions may be viewed by using an overall or bilateral display (i.e., display provides comparisons between left and right breasts or old and new images). The software also allows physicians or technicians to create online mammography reports. In addition, the digitized mammogram studies and sessions and on-line reports may be viewed, archived on a central file server, or electronically shared with other health care professionals.
The ImagClear® System and its predicates, the ImagClear® Film Digitizer, and the Galen™ Software, have essentially the same technological characteristics. As described above, the ImagClear® System is basically the interfacing of the ImagClear® Film Digitizer with a modified version of the previously cleared Galen™ Software. No changes have been made to the previously cleared ImagClear® Film Digitizer in the combination of these two devices. Thus, the ImagClear® Film Digitizer's technological characteristics have been, for all intents and purposes, incorporated into the ImagClear® System. The principal technological distinction between the ImagClear® System's software and the previously cleared Galen™ Software is that the cleared Galen™ Software did not have all the technological specifications to accommodate a mammography indication. Accordingly, DBA and MedImage collaboratively made modifications to the cleared Galen™ Software so that the modified software could accommodate the digitized mammography images which are generated by the ImagClear® Film Digitizer.
If one reviews these software modifications, it is clear that the changes do not raise any new questions of safety or efficacy. Rather, the modifications are essentially formatting and other changes to allow the most effective presentation of the same kinds of images already included in the digitizing capabilities of the cleared film digitizer. Moreover, internal storage, archiving, and transfer capabilities of the cleared Galen™ Software have been enhanced to accommodate the mammography images.
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In summary, while there are some differences between the In Summary, while there are to to to to teater and to device, the previously cleared Galen™
ImagClear® System and its predicate device, the previously cleared and two Imagelears bystem and tos productions as 1135, the productions of safety and efficacy.
K992467
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M
## Performance Data
None required
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized eagle with three lines representing its body and wings. The eagle is facing left, and the text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" is arranged in a circular pattern around the eagle.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
FEB 1 0 2000
DBA Systems, Inc. C/O Jonathan S. Kahan, J.D. Partner, Hogan & Harston, L.L.P. 555 Thirteenth Street, N.W. Washington, D.C. 20004-1109
Re: K992467
ImagClear® Mammography Review System Dated: November 12, 1999 Received: November 12, 1999 Regulatory class: II 21 CFR 892.2030/Procode: 90 LMA
Dear Mr. Kahan:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we 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). 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.
If your device is classified (see above) into either class III (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4613. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification"(21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597, or at its internet address "http://www.fda.gov/cdrh/dsmaldsmamain.html".
Sincerely yours,
CAPT Daniel G. Schultz, M.D. Acting Director, Division of Reproductive, Abdominal, Ear, Nose and Throat, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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510(k) Number (if known):_ x 9 92467
Device Name: ImagClear® Mammography Review System
Indications for Use:
The ImagClear® Mammography Review System is intended to digitize analog medical images, which will be viewed, archived, or electronically shared with other health care professionals. The ImagClear® System is specifically indicated for the digitization of mammographic images for review and analysis, but not as the sole basis for screening or diagnosis.
(PLEASE DO NOT WRITE BELOW THIS LINE -- CONTINUE ON ANOTHER PAGE IF NEEDED) Concurrence
f CDRH, Office of Device Evaluation (ODE)
Division Sten-Off) ivision of Reproductive, Abdominal. B and Radiological Devi 510(k) Number
Prescription Use
(Per 21 C.F.R. 801.109)
OR
Over-The-Counter Use_
(Optional Format 1-2-96)
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.