K042408 · Edda Technology, Inc. · OMJ · Oct 8, 2004 · Radiology
Device Facts
Record ID
K042408
Device Name
IQQA-CHEST SOFTWARE PACKAGE
Applicant
Edda Technology, Inc.
Product Code
OMJ · Radiology
Decision Date
Oct 8, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
The IQQA-Chest is a PC-Based, self-contained, non-invasive image analysis package used during the review of digital chest radiographic images. Combining image viewing, evaluation and reporting tools, the software is designed to support the physician in the identification of lung lesions (e.g. nodules), as well as the confirmation, evaluation and documentation of such physician-identified lesions. The IQQA-Chest software package supports a workflow based on automated segmentation for the visual identification of possible lesions. The tools also allow for regional analysis of possible lesions in terms of size, shape and position, thus aiding the physician in the characterization of physician-identified suspicious lesions. Image source: DICOM
Device Story
IQQA-Chest is a PC-based software package for digital chest radiographic image analysis. It ingests DICOM images; provides viewing tools (window level, pan, zoom); and utilizes automated segmentation to identify potential lung lesions. The software assists physicians by highlighting regions meeting intensity and shape constraints correlating with nodules. It enables regional analysis (size, shape, position) of physician-identified lesions to aid characterization and documentation. Used in clinical settings by physicians, the output supports clinical decision-making regarding lesion evaluation and patient management. It benefits patients by providing quantitative support for lesion identification and follow-up.
Clinical Evidence
Bench testing only. Software testing and validation were performed according to internal company procedures and written test protocols. Results were reviewed by technical professionals to confirm performance satisfies design intent.
Technological Characteristics
PC-based software package; runs on standard PC hardware with Windows OS. Features graphical user interface for image viewing, automated segmentation, and quantitative measurement tools. Inputs via DICOM. No specific hardware materials or energy sources listed; software-only device.
Indications for Use
Indicated for use by physicians to support identification, confirmation, evaluation, and documentation of lung lesions (e.g., nodules) in digital chest radiographic images.
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).
Predicate Devices
Siemens LungCARE CT Software Package with extended functionality (K033374)
R2 ImageChecker CT Software Package with Filling Defect Indicator (K041380)
Submission Summary (Full Text)
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K04-2-408
CC) 3 -- 2004
## EXHIBIT 2
## 510(k) Summary EDDA Technology, Inc Building 2 14 Washington Road Princeton Junction, NJ 08550 Tel: 609-936-8282 Fax: 609-799-1545 Contact: Xiaolan Zeng, Vice President, Clinical Affairs Date: August 30, 2004
- 1. Identification of the Device: Proprietary-Trade Name: IQQA-Chest Software Package Classification Name: System, Image Processing, Radiological, Product Code 90 LLZ Common/Usual Name: Radiological Image Processing System
- 2. Equivalent legally marketed devices:
| Manufacturer | Name of the Predicate<br>Device | FDA 510(k)<br>Number | FDA Clearance<br>Date |
|----------------------------|----------------------------------------------------------------------|----------------------|-----------------------|
| Siemens Medical<br>Systems | LungCARE CT Software<br>Package with extended<br>functionality | K033374 | 11/06/2003 |
| R2 Technology | ImageChecker CT<br>software package with<br>Filling Defect Indicator | K041380 | 06/08/2004 |
- 3. Indications for Use (intended use): The IQQA-Chest is a PC-Based, self-contained, non-invasive image analysis package used during the review of digital chest radiographic images. Combining image viewing, evaluation and reporting tools, the software is designed to support the physician in the identification of lung lesions (e.g. nodules), as well as the confirmation, evaluation and documentation of such physician-identified lesions. The IQQA-Chest software package supports a workflow based on automated segmentation for the visual identification of possible lesions. The tools also allow for regional analysis of possible lesions in terms of size, shape and position, thus aiding the physician in the characterization of physician-identified suspicious lesions. Image source: DICOM
- 4. Description of the device: The IQQA-Chest Software Package is a self-contained, non-invasive thoracic radiographic image analysis package that is designed to run on standard PC hardware. Combining image viewing tools (e.g. image window level, pan, zoom, enhancement viewing), evaluation tools (e.g. automatic/interactive segmentation, quantitative measurements derived from marking and segmentation), and reporting tools (e.g. saved lesion, measurement information, physician-
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input nodule characterization, and etc), the software package is designed to support the physician in the identification of lung lesions (e.g. nodules), as well as the the physician in the laonificance or entation of such physician-identified lesions. The IQQA-Chest software package supports a workflow based on automated segmentation IQQA-Chost software package bapple lesions (nodule enhanced viewing). Based on physician's request, the tool segments locations in the lung area containing circular prysional o requeed, invites fulfiling intensity signal and circular shape constraints) that would typically correlate with lung nodules. The tools also allow for regional that would typessible lesions with respect to size, shape and position, aiding the anaryold or pobo characterization of physician-identified suspicious lesions.
| Manufacturer | Predicate Device: | Predicate Device: | Device of 510(k)<br>submission: |
|------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Siemens LungCARE CT<br>software package with<br>extended functionality<br>(K033374) | R2 ImageChecker CT<br>Software Package with<br>Filling Defect Indicator<br>(K041380) | IQQA-Chest Software<br>Package |
| | Siemens Medical Solutions | R2 Technology, Inc | EDDA Technology, Inc. |
| Indications for<br>Use | LungCARE CT is a self-<br>contained image analysis<br>software package for evaluating<br>CT volume data sets. Combining<br>enhanced commercially available<br>digital image processing tools<br>with an optimized workflow and<br>reporting tools, the software is<br>designed to support the physician<br>in confirming the presence or<br>absence of physician identified<br>lung lesions (e.g. nodules) in<br>addition to evaluation,<br>documentation and follow-up of<br>any such lesions using standard<br>or low-dose spiral CT scanning.<br>The LungCARE CT Software<br>Package with extended<br>functionality contains<br>modifications which support the<br>user with a special workflow<br>based on automated<br>segmentation for the visual<br>identification of possible lesions<br>(Nodule Enhanced Viewing).<br>This visualization tool allows for<br>volumetric analysis of<br>pulmonary nodule or lesion size<br>over time, helping the Physician<br>to assess the changes in their<br>growth. It is also designed to | The ImageChecker CT<br>Software Package with<br>Filling Defect Indicator<br>(FDI) is used during the<br>review of contrast-enhanced<br>CT images of the chest. This<br>software tool enables the<br>radiologist to view and<br>analyze regions of the image<br>containing low density<br>within vascular structures<br>that may be indicative of<br>filling defects or other<br>intravascular abnormalities.<br>The software is designed to<br>assist the radiologist in<br>characterization and<br>classification of these<br>suspicious candidate<br>thoracic abnormalities in<br>terms of density, size,<br>dimension, shape and<br>position, thus aiding in the<br>patient management care<br>decision process. | The IQQA-Chest is a PC-<br>Based, self-contained, non-<br>invasive image analysis<br>package used during the<br>review of digital chest<br>radiographic images.<br>Combining image viewing,<br>evaluation and reporting<br>tools, the software is<br>designed to support the<br>physician in the<br>identification of lung lesions<br>(e.g. nodules), as well as the<br>confirmation, evaluation and<br>documentation of such<br>physician-identified lesions.<br>The IQQA-Chest software<br>package supports a<br>workflow based on<br>automated segmentation for<br>the visual identification of<br>possible lesions. The tools<br>also allow for regional<br>analysis of possible lesions<br>in terms of size, shape and<br>position, thus aiding the<br>physician in the<br>characterization of<br>physician-identified<br>suspicious lesions.<br>Image source: DICOM |
- 5. Safety and Effectiveness, comparison to predicate device:
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| | Predicate Device:<br>Siemens LungCARE CT<br>software package with<br>extended functionality<br>(K033374) | Predicate Device:<br>R2 ImageChecker CT<br>Software Package with<br>Filling Defect Indicator<br>(K041380) | Device of 510(k)<br>submission:<br>IQQA-Chest Software<br>Package |
|------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------|
| | help the physician classify<br>conspicuous regions of tissue<br>unambiguously having<br>determined their size,<br>dimensions, shape and position. | | |
| Hardware /<br>Operating<br>systems | Standard PC / Windows | Standard PC / Windows | SAME |
| User interface | A graphical user interface for<br>users to interact with the<br>software, select tools and<br>drive workflow | A graphical user interface<br>for users to interact with<br>the software, select tools<br>and drive workflow | SAME |
## 6. Testing information and Conclusion
In all material respects, the IQQA-Chest Software Package is substantially equivalent to the predicate systems. Testing was performed according to internal company procedures. Software testing and validation were done according to written test protocols established before testing was conducted. Test results were reviewed by designated technical professionals before software proceeded to release. Test results support the conclusion that actual device performance satisfies the design intent.
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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 consists of a stylized human figure with three heads, representing the department's focus on health and human well-being. The figure is positioned to the right of a circular border containing the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA". The text is arranged around the circumference of the circle, with "DEPARTMENT OF HEALTH & HUMAN SERVICES" at the bottom and "USA" at the top.
Public Health Service
MAR 1 1 2009
ood and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
EDDA Technology, Inc. % Mr. Daniel Kamm Regulatory Engineer Kamm & Associates PO Box 7007 DEERFIELD IL 60015
Re: K042408
> Trade/Device Name: IQQA-Chest Software Package Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: OMJ Dated: August 30, 2004 Received: September 3, 2004
Dear Mr. Kamm:
This letter corrects our substantially equivalent letter of October 8, 2004.
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. Iisting of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), 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 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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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; good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding os 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), please contact the Office of Compliance at one of the following numbers, based on the regulation number at the top of this letter.
| 21 CFR 876.xxx | (Gastroenterology/Renal/Urology) | (240) 276-0115 |
|----------------|----------------------------------|----------------|
| 21 CFR 884.xxx | (Obstetrics/Gynecology) | (240) 276-0115 |
| 21 CFR 892.xxx | (Radiology) | (240) 276-0120 |
| Other | | (240) 276-0100 |
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding postmarket surveillance, please contact CDRH's Office of Surveillance and Biometrics' (OSB's) Division of Postmarket Surveillance at 240-276-3474. For questions regarding of device adverse events (Medical Device Reporting (MDR)), please contact the Division of Surveillance Systems at 240-276-3464. You may obtain other general information on your responsibilities under the Act from the Division of Small Manufactures, International and Consumer Assistance at its toll-free number (800) 638-2041 or (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry.suppot/index.html.
Sincerely vours.
Harold Leeman
Janine M. Morris Acting Director, Division of Reproductive. Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known): K.04 2408
Device Name: IQQA-Chest Software Package
The IQQA-Chest is a PC-Based, self-contained, non-invasive image analysis package used during the review of digital chest radiographic images. Combining image viewing, evaluation and reporting tools, the software is designed to support the physician in the identification of lung lesions (e.g. nodules), as well as the confirmation, evaluation and documentation of such physician-identified lesions.
The IQQA-Chest software package supports a workflow based on automated segmentation for the visual identification of possible lesions. The tools also allow for regional analysis of possible lesions in terms of size, shape and position, thus aiding the physician in the characterization of physician-identified suspicious lesions. Image source: DICOM
Prescription Use X (Part 21 CFR 801 Subpart D) Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
AND/OR
Concurrence of CDRH, Office of Device Evaluation (ODE)
David G. Seggern
(Division Sign-Off, Division of Reproduct and Radiological Devi 510(k) Number
Page I of 1
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.