K050846 · The Medipattern Corporation · LLZ · May 26, 2005 · Radiology
Device Facts
Record ID
K050846
Device Name
B-CAD SYSTEM, VERSION 1.0
Applicant
The Medipattern Corporation
Product Code
LLZ · Radiology
Decision Date
May 26, 2005
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
B-CAD is a computer-aided detection (CAD) software application designed to assist radiologists to analyze breast ultrasound images. B-CAD automatically segments and classifies shape and orientation characteristics of user-selected regions of interest (ROI). The software allows the user to annotate, tag, measure, and automatically record selected views. The software automatically generates reports from user inputs annotated during the image analysis process. An output may be viewed and sent to standard film or paper printers or sent electronically to an intranet web server or other DICOM device. The software may retrieve archived reports from a web server or other DICOM device. B-CAD includes the option to add annotations based on the ACR-BI-RADS® Breast Imaging Atlas. In addition, the report form has been designed to support compliance with the ACR-BI-RADS® Ultrasound Lexicon Classification Form. When interpreted by a skilled physician, this device provides information that may be useful in screening and diagnosis. Patient management decisions should not be made solely on the results of B-CAD analysis. The ultrasound images displayed on B-CAD must not be used for primary diagnostic interpretation.
Device Story
B-CAD is a CAD software application for breast ultrasound analysis. Input: digital ultrasound images. Operation: user selects region of interest (ROI) via seed point; software performs automated segmentation and classification of shape/orientation using multivariate pattern recognition. Output: segmented views, measurements, annotations, and automated reports. Used in clinical settings (PACS, standalone PC) by radiologists. Workflow: images pushed from ultrasound imager; radiologist reviews, annotates, and tags views; software generates reports based on ACR-BI-RADS lexicon. Output viewed on monitor, printed, or sent via DICOM. Benefits: assists radiologist in standardized analysis and reporting of breast ultrasound findings.
Clinical Evidence
Bench testing only. The device underwent software design, verification, and validation testing. Risk assessment was performed to identify and control potential hazards associated with quantification results. No clinical study data provided.
Technological Characteristics
Software-based CAD application. Operates on Windows 2000/XP platforms. DICOM-compatible. Uses multivariate pattern recognition for tissue segmentation and classification. Standalone or PACS-integrated deployment. No specific hardware materials or energy sources defined as it is a software-only device.
Indications for Use
Indicated for use by radiologists to assist in the analysis of breast ultrasound images. Provides information for screening and diagnosis; not for primary diagnostic interpretation. Patient management decisions should not be based solely on device output.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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## K050846
# 510(k) Summary of Safety and Effectiveness
This 510(k) summary of safety and effectiveness information is submitted as Print of the PreMarket Notification in accordance with the requirements of 21 CFR Part 807, Subpart E and Section 807.92.
## 1. Identification of Submitter:
| Submitter: | The Medipattern Corporation |
|------------|--------------------------------------------------------------|
| Address: | 2300 Sheppard Ave W Suite 204<br>Toronto, ON, Canada M9M 3A4 |
| Phone: | 416-744-0009 |
| Fax: | 416-744-6899 |
| Contact: | Patricia A. Milbank |
| Title: | Regulatory Consultant |
| Phone: | 425-894-9733 |
| Fax: | 425-865-9023 |
March 31, 2005 Summary Date:
#### 2. Identification of Product:
| Device Name: | B-CAD System, Version 1.0 |
|------------------------|-------------------------------------------|
| Device Common Name: | Picture and archive communications system |
| Device Classification: | 21 CFR 892.2050, Class II, LLZ (90) |
The Medipattern Corporation Manufacturer
### 3. Marketed Devices
The B-CAD System provides viewing and post-acquisition image analysis of user-selected regions of interest on breast ultrasound images and automatically generates reports from user inputs annotated during the image analysis process. This software medical device is substantially equivalent to the devices listed below:
| Model: | CADstream |
|-----------------|------------------------------|
| Manufacturer: | Confirma, Inc. |
| 510(k) Number: | K043216 |
| Model: | QLAB Software |
| Manufacturer: | Phillips Ultrasound |
| 510(k) Numbers: | K021966, K023877 and K040227 |
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#### 4. Device Description:
B-CAD is a computer-aided detection (CAD) software application, designed to assist radiologists to analyze breast ultrasound images. B-CAD automatically segments and classifies shape and orientation characteristics of user-selected regions of interest (ROI). The device uses multivariate pattern recognition methods to perform tissue segmentation and classification of images.
For breast ultrasound, these pattern recognition methods are used by a radiologist to analyze such features as shape and orientation [refer to American College of Radiology's (ACR) Breast Imaging Reporting and Data System (BI-RADS®) Breast Imaging Atlas and ACR-BI-RADS® Ultrasound lexicon].
The software application consists of proprietary software developed by The Medipattern Corporation. The software is a Windows 2000/XP, DICOMcompatible platform that may be installed on a standalone PC, PACS, or embedded in software applications cleared for use in medical imaging. The B-CAD user interface is designed to follow typical clinical workflow patterns to process, review, and analyze digital images.
The Medipattern software is designed to be compatible with any of the DICOM-compliant medical devices distributed by various OEM vendors.
To initiate B-CAD analysis and processing, images are acquired and pushed to the software application from an ultrasound imager for review and further analysis on a monitor. The user selects a ROI by clicking on a seed point and dragging the cursor to the selected boundary of the ROI. A circle appears, defining the region of interest. Once the ROI is selected, the B-CAD software initially displays a gallery of up to six segmented views on the monitor. The user may select any view for further analysis of anatomy and pathology. The software allows the user to annotate, tag, measure, and automatically record selected views. Results of the analysis are displayed on the monitor and may be selected by the user for automated reporting.
The software application automatically generates reports from user inputs annotated during the image analysis process. The user may select inputs for the report from various pull-down menus and toggle buttons and the user may direct the B-CAD software to prepopulate various fields contained in the report. All fields may be modified by the user at any time during the analysis and prior to archiving.
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B-CAD includes the option to add annotations based on the ACR-BI-RADS® Breast Imaging Atlas. In addition, the report form has been designed to Breast Intaging Five with the ACR-BI-RADS® Ultrasound Lexicon Classification Form.
An output may be viewed and sent to standard film or paper printers or sent An output may or rivranet web server or other DICOM device. The software may retrieve archived reports from a web server or other DICOM device.
#### 5. Indications for Use
B-CAD is a computer-aided detection (CAD) software application designed to assist radiologists to analyze breast ultrasound images. B-CAD automatically asoments and classifies shape and orientation characteristics of user-selected regions of interest (ROI).
The software allows the user to annotate, tag, measure, and automatically record selected views. The software automatically generates reports from user inputs annotated during the image analysis process. An output may be viewed and sent to standard film or paper printers or sent electronically to an intranet web server or other DICOM device. The software may retrieve archived reports from a web server or other DICOM device.
B-CAD includes the option to add annotations based on the ACR-BI-RADS® Breast Imaging Atlas. In addition, the report form has been designed to support compliance with the ACR-BI-RADS® Ultrasound Lexicon Classification Form.
When interpreted by a skilled physician, this device provides information that may be useful in screening and diagnosis. Patient management decisions should not be made solely on the results of B-CAD analysis. The ultrasound images displayed on B-CAD must not be used for primary diagnostic interpretation.
#### 6. Comparison with Predicate Devices
The B-CAD System is substantially equivalent to software devices that provide display and post-acquisition image analysis of breast ultrasound images.
The image viewing capabilities of the B-CAD System are substantially equivalent to other commercially available image display products that have been cleared for use with ultrasound image files, specifically the CADstream, Version 4.0, software device manufactured by Confirma, and the QLAB software device manufactured by Phillips Ultrasound.
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The Region of Interest quantification capabilities of the B-CAD software are substantially equivalent to other commercially available products that have been cleared for use with breast imaging studies, specifically the CADstream, Version 4.0, software device manufactured by Confirma, and the QLAB software device manufactured by Phillips Ultrasound.
The automated reporting features are substantially equivalent to other commercially available multi-modality products used for post-processing analysis, including CADstream, Version 4.0, manufactured by Confirma.
#### 7. Performance Standards
No performance standards for PACS systems or components have been issued under the authority of Section 514.
#### 8. General Safety and Effectiveness Concerns
The device labeling contains operating instructions for the safe and effective use of the B-CAD software.
#### 9. Software
Software development for the B-CAD System follows documented processes for software design, verification and validation testing. A risks assessment has been completed to identify potential design hazards that could cause an error or injury based on the use of the quantification results. Appropriate steps have been taken to control all identified risks for this type of image display and quantification product.
#### 10. Conclusions
The B-CAD software is designed and manufactured to meet United States and international standards for the display and quantification of images acquired on ultrasound devices. The system is designed to incorporate components common to all image viewing systems including display, post-processing analysis, archiving, and retrieval capabilities within a clinical setting.
The potential hazards have been studied and controlled as part of the product development process, including risk analysis, test and design considerations, and planned verification and validation testing processes. The System has been shown to be substantially equivalent to the predicate devices, and no new issues of safety or effectiveness are raised.
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Image /page/4/Picture/1 description: The image is a seal for the Department of Health & Human Services - USA. The seal is circular and contains the department's name around the perimeter. In the center of the seal is an abstract image of an eagle.
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
MAY 2 6 2005
Ms. Patricia A. Milbank Regulatory Consultant The Medipattern Corporation 2300 Sheppard Ave W Suite 204 Toronto, ON, M9M 3A4 CANADA
Re: K050846 Trade/Device Name: B-CAD System, Version 1.0 Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system -Regulatory Class: II Product Code: LLZ Dated: March 31, 2005 Received: April 6, 2005
Dear Ms. Milbank:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced w one 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 the cherobate) to regard ment 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 actives, salise 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 II (Special Controls) or class III (Premarket 11 your at 110 to subject to such additional controls. Existing major regulations affecting your Approval), It ifally of 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 I toase of advised 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 1 od in bailers and regulating, 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 (QS) (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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This letter will allow you to begin marketing your device as described in your Section 510(k)
10 legal This letter will allow you to ocgin marketing your antial equivalence of your device to a legally premarket notification. The FDA Inding of Sacsamial or 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 If you desire specific advice for your device on our laboring numbers, based on the regulation number at the top of this letter:
| 21 CFR 876.xxxx | (Gastroenterology/Renal/Urology) | 240-276-0115 |
|-----------------|----------------------------------|--------------|
| 21 CFR 884.xxxx | (Obstetrics/Gynecology) | 240-276-0115 |
| 21 CFR 892.xxxx | (Radiology) | 240-276-0120 |
| Other | - | 240-276-0100 |
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Also, please note the regulation cinned, "thisonalians of our responsibilities under the Act from the Act from the 807.97). You may obtain other general mornation on your aspective at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely yours,
Nancy C. Brogdon
Nancy C. Brogdon Director, Division of Reproductive, Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indication(s) for Use Statement
510(k) Number:
K050846
B-CAD System, Version 1.0 Device Name:
Indications for Use:
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B-CAD includes the option to add annotations based on the ACR-BI-RADS® B-CAD merduces the operon to in addition, the report form has been designed to Bicast Innaging Attas: In add ACR-BI-RADS® Ultrasound Lexicon Classification Form.
When interpreted by a skilled physician, this device provides information that when interpreted by a similar posis. Patient management decisions may be useful in screening and anguits of B-CAD analysis. The ultrasound images displayed on B-CAD must not be used for primary diagnostic interpretation.
Use Prescription (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use _ (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
David A. Leggett
(Division Sign-Off) Division of Reproductive. Ab and Radiological Devic 510(k) Number
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.