K122536 · Lin & Associates, LLC · LLZ · Oct 3, 2013 · Radiology
Device Facts
Record ID
K122536
Device Name
AMCAD-UT DETECTION MODEL 2.0
Applicant
Lin & Associates, LLC
Product Code
LLZ · Radiology
Decision Date
Oct 3, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Thyroid nodule sonographic characteristics
Statistical pattern recognition and quantification methods
—
—
—
—
Clinical (MRMC) study
>1 (physicians)
Indications for Use
AmCAD-UT® Detection 2.0 is a Windows-based computer-assisted detection (CADe) device intended to assist the medical professionals in analyzing thyroid ultrasound images of user-selected regions of interest (ROI). After the initial review of the ultrasound images by the physicians, the device further provides detailed information with quantification and visualization of sonographic characteristics of thyroid nodules. The device is intended for use on Philips HDI5000 images of discrete thyroid nodules larger than 1cm, for which a biopsy has been recommended. The device performance has been validated on images collected from Philips HDI5000 with a 5-12MHz multi-frequency probe.
Device Story
AmCAD-UT® Detection 2.0 is a Windows-based CADe software application for clinical review stations. It processes DICOM/JPEG/Bitmap thyroid ultrasound images. Physician selects ROI; software performs statistical pattern recognition and quantification of sonographic characteristics (hyperechoic foci, echo-pattern, echo-texture, anechoic areas). Output includes quantified data, visualizations, and automated reports (PDF or print). Used by physicians as a 'second detector' after initial image review to assist in interpretation and clinical judgment. Benefits include enhanced analysis of thyroid nodule characteristics.
Clinical Evidence
Clinical evidence includes standalone performance testing (detection accuracy, reproducibility, algorithm stability) and a clinical Multi-Reader Multi-Case (MRMC) study. Results demonstrated that physician use of the device significantly enhanced the ability to analyze sonographic characteristics and improved clinical judgment effectiveness.
Technological Characteristics
Windows-based software; standalone PC or review station deployment. Inputs: DICOM/JPEG/Bitmap ultrasound images. Processing: Statistical pattern recognition and quantification. Outputs: Annotated images, quantified sonographic characteristics, automated reports. Connectivity: DICOM-compliant, intranet/web server integration.
Indications for Use
Indicated for medical professionals analyzing thyroid ultrasound images of discrete thyroid nodules >1cm in patients for whom biopsy is recommended. Intended for use on images from Philips HDI5000 with 5-12MHz multi-frequency probe.
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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K122536
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# 510(k) Summary of Safety and Effectiveness
This 510(k) summary of safety and effectiveness information is submitted as part of the Premarket Notification in compliance with requirements of CFR Part 807, Subpart E and Section 807.92
# 5.1 Identification of Submitter:
| Submitter: | AmCad BioMed Corporation |
|---------------|-------------------------------------------------------------|
| Address: | FL.5-2, NO.167, Fu Hsing N. RD., Taipei 105, Taiwan, R.O.C. |
| Phone: | 886-2-2713-6227 |
| Fax: | 886-2-2514-0245 |
| Contact: | Jack Yang |
| Title: | Vice President |
| Phone: | 886-2-2713-6227 ext.358 |
| Fax: | 886-2-2514-0245 |
| Email: | jack.yang@amcad.com.tw |
| Manufacturer: | AmCad BioMed Corporation |
| US Agent and Contact: | Chiu S. Lin, Ph.D.<br>Lin & Associates, LLC |
|-----------------------|-------------------------------------------------|
| Address: | 9223 Cambridge Manor Court<br>Potomac, MD 20854 |
| Phone: | (O) 301-591-3895 |
| E-mail: | cslin@lin-associates.com |
Date prepared: August 17, 2012
# 5.2 Identification of Product
AmCAD-UT® Detection 2.0 Device Trade Name: Common and Usual Name: Computer-Assisted Detection (CAD) Device Device Classification Name: Picture Archiving and Communications System
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Image /page/1/Picture/0 description: The image shows the logo and contact information for AmCad BioMed Corporation. The logo features a stylized image of an elephant. Below the logo is the company name in both Chinese and English. The address is listed as FL.5, NO.167, Fu Hsing N. RD., Taipei 105, Taiwan, ROC, and the telephone number is +886-2-27136227, while the fax number is +886-2-25140245.
Regulation Number: 21 CFR 892.205 Classification Product Code: 90 LLZ Classification: Class II Classification Panel: Radiology Devices Manufacturer: AmCad BioMed Corporation
### 5.3 Predicate Device
This subject software medical device is substantially equivalent to the devices listed below:
| Model: | Q LAB Software |
|----------------|----------------------------------|
| Manufacturer: | Philips Medical System Company |
| 510(k) Number: | K021966, cleared on July 2, 2002 |
Model: B-CAD System, Version 1.0 Manufacturer: Medipattem Corporation K050846, cleared on May 26, 2005 510(k) Number:
Model: ColonCAD API Manufacturer: Medicsight PLC 510(k) Number: K083423, cleared on May 17, 2011
### 5.4 Device Description
AmCAD-UT® Detection 2.0 is a Windows-based computer-assisted detection (CADe) software application device designed to assist medical professionals in analyzing thyroid ultrasound images of user selected regions of interest (ROI).
The device uses statistical pattern recognition and quantification methods to perform analytical function of images. For thyroid ultrasound, these pattern recognition and quantification methods are used by a medical professional to analyze DICOM/JPEG/Bitmap compliant thyroid ultrasound images.
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Image /page/2/Picture/0 description: The image shows the logo and contact information for AmCad BioMed Corporation. The logo features a stylized image of an elephant. Below the logo is the company name in both Chinese and English. The address is listed as FL.S, NO.167, Fu Hsing N. RD., Taipei 105, Taiwan, ROC, and the telephone number is +886-2-27136227, while the fax number is +886-2-25140245.
The software application consists of proprietary software developed by AmCad BioMed Corporation. The software is a Windows-based that may be installed on a standalone PC or review station. AmCAD-UT® Detection 2.0 user interface is designed to follow typical clinical workflow patterns to process, review, and analyze digital images.
After the initial review of thyroid ultrasound images by the physician, he/she can use AmCAD-UT® Detection 2.0 to analyze the thyroid images for further interpretation. The physician selects an ROI (Region of Interest) to define the initial boundary of the ROI. Once the ROI is confirmed, the physician may process the image for detection and quantification of sonographic characteristics (i.e., hyperechoic foci, echo-pattern, echo-texture, and anechoic areas) by AmCAD-UT® Detection 2.0. The device provides more detailed information with quantification and visualization of the sonographic characteristics of thyroid nodule that may assist physician in his/her complete interpretation.
The software application also automatically generates reports given the user preference inputs (e.g., the nodule size, nodule location and shape, and the presence or absence of the sonographic characteristics) annotated during the image analysis process. A report form has been designed by AmCad to be consistent with the conventional clinical thyroid report form. An output of the report may be viewed and sent to paper printers or saved on the standalone PC or review station as PDF file.
## 5.5 Indications for Use
AmCAD-UT® Detection 2.0 is a Windows-based computer-assisted detection (CADe) device intended to assist the medical professionals in analyzing thyroid ultrasound images of user-selected regions of interest (ROI). After the initial review of the ultrasound images by the physicians, the device further provides detailed information with quantification and visualization of sonographic characteristics of thyroid nodules. The device is intended for use on Philips HDI5000 images of discrete thyroid nodules larger than 1cm, for which a biopsy has been recommended. The device performance has been validated on images collected from Philips HDI5000 with a 5-12MHz multi-frequency probe.
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Image /page/3/Picture/0 description: The image shows the logo and contact information for AmCad BioMed Corporation. The logo features a stylized elephant-like figure with the letters 'C' and 'A' incorporated into its design. Below the logo is the company name in both Chinese and English, followed by the address: FL.5, NO.167, Fu Hsing N. RD., Taipei 105, Taiwan, ROC. The telephone number is +886-2-27136227 and the fax number is +886-2-25140245.
# 5.6 Comparison with Predicate Devices
AmCAD-UT® Detection 2.0 is substantially equivalent to Q LAB Software with a general intended use for viewing and quantifying ultrasound image data. AmCAD-UT® Detection 2.0 is also substantially equivalent to B-CAD, version 1.0 and ColonCAD API as being Computer-Assisted Detection software device to assist the physicians in clinical practice. The standalone and clinical reader performance assessment of AmCAD-UT® Detection 2.0 are substantially equivalent to the standalone performance assessment and clinical MRMC reader study of ColonCAD API. Minor technological characteristics differences do not raise any new questions of safety and effectiveness. Thus, AmCAD-UT® Detection 2.0 is substantially equivalent to the Q LAB Software generally intended for viewing and quantifying ultrasound image data and substantially equivalent to the B-CAD System and ColonCAD API as the Computer-Assisted Detection device intended to assist the physicians in clinical practice.
The comparison table between our device and the predicate devices is provided below:
| | AmCAD-UT®<br>Detection 2.0 | B-CAD System<br>Version 1.0 | ColonCAD API | Q LAB Software |
|-----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------|
| Manufacturer | AmCad BioMed<br>Corp. | Medipattem<br>Corp. | Medicsight PLC | Philips Medical<br>System Company |
| 510(k) Number | K122536 | K050846 | K083423 | K021966 |
| Device<br>Common Name | Computer-Assisted<br>Detection (CADe) | Same | Same | Picture Archiving<br>and<br>Communications<br>Systems<br>Workstation |
| Regulation<br>Number | 21 CFR 892.2050 -<br>Class II | Same | Same | Same |
| Regulation<br>Name | Picture archiving<br>and<br>communications<br>system | Same | Same | Same |
| Product Code | LLZ | LLZ | NWE | LLZ |
| | AmCAD-UT®<br>Detection 2.0 | B-CAD System<br>Version 1.0 | ColonCAD API | Q LAB Software |
| Intended Use | AmCAD-UT®<br>Detection 2.0 is<br>intended to assist<br>the medical<br>professionals in<br>analyzing thyroid<br>ultrasound images<br>of user-selected<br>regions of interest<br>(ROI). After the<br>initial review of<br>the ultrasound<br>images by the<br>physicians, the<br>device further<br>provides detailed<br>information with<br>quantification and<br>visualization of<br>sonographic<br>characteristics of<br>thyroid nodules. | The B-CAD<br>System provides<br>viewing and<br>post-acquisition<br>image analysis of<br>user-selected<br>regions of interest<br>on breast<br>ultrasound<br>images. | The Medicsight<br>ColonCAD API is<br>intended to be<br>used on patients<br>referred for a CT<br>colonography<br>(CTC)<br>examination, as<br>an overlay tool to<br>prompt the<br>radiologist to<br>colonic findings<br>that have been<br>identified by the<br>device. The CAD<br>can assist<br>radiologists after<br>they have made<br>an initial review<br>of all the<br>colonography.<br>image data,<br>supporting their<br>evaluation<br>( | |
| AmCAD-UT® | B-CAD System | ColonCAD API | Q LAB Software | |
| Detection 2.0 | Version 1.0 | | | |
| The device is | software | | | |
| intended for use | automatically | | | |
| on Philips HDI5000 | generates reports | | | |
| images of discrete | from user inputs | | | |
| thyroid nodules | annotated during | | | |
| larger than 1cm, | the image | | | |
| for which a biopsy | analysis process. | | | |
| has been | An output may be | | | |
| recommended. | viewed and sent | | | |
| The device | to standard film | | | |
| performance has | or paper printers | | | |
| been validated on | or sent | | | |
| images collected | electronically to | | | |
| from Philips | an intranet web | | | |
| HD15000 with a | server or other | | | |
| 5-12MHz | DICOM device. | | | |
| multi-frequency | The software may | | | |
| probe. | 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®<br>Ultrasound<br>Lexicon<br>Classification<br>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 | | | |
| | | | | |
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Image /page/4/Picture/0 description: The image shows the logo of Anke BioMedical Co., Ltd. The logo consists of a circled "C" symbol followed by the company name in traditional Chinese characters. The characters are arranged horizontally, with "Anke" followed by "BioMedical" and then "Co., Ltd."
J AmCad BioMed Corporation
.
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image contains the logo and name of a company. The logo is a stylized letter C. Next to the logo is the company name in Chinese characters, which translates to "Anke Sheng Medical Co., Ltd." Below the Chinese name is the company name in English, "AmCad BioMed Corporation."
FLS, NO.167, Fo Hsing N. RD., Taipei 105, Taiwan, ROC
FL.S, NO.167, Fo Hsing N. RD., Taipei 105, Taiwan, ROC
Tel: +886-2-27136227 Fax: +886-2-25140245
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows the logo for Anke Bio Co., Ltd. The logo consists of a stylized letter "C" with a small circle inside, followed by the company name in traditional Chinese characters. The text reads "安克生醫股份有限公司", which translates to Anke Bio Co., Ltd.
FL.5, NO.167, Fu Hsing N. RD., Taipei 105, Taiwan, ROC
FL.5, NO.167, Fu Hsing N. RD., Taipei 105, Taiwan, ROC
Tel: +886-2-27136227 - Fax: +886-2-25140245
| | AmCAD-UT®<br>Detection 2.0 | B-CAD System<br>Version 1.0 | ColonCAD API | Q LAB Software |
|----------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Functional<br>Capability of<br>Image<br>Processing | AmCAD-UT®.<br>Detection 2.0<br>analyzes the<br>user-selected<br>regions of interest<br>(ROI) of thyroid<br>ultrasound image<br>for the detection<br>and quantification<br>of sonographic<br>characteristics<br>(hyperechoic foci,<br>echo-pattern,<br>echo-texture and<br>anechoic areas).<br>The device further<br>provides detailed<br>information with<br>visualization of<br>sonographic<br>characteristics of<br>thyroid nodules. | B-CAD System<br>Version 1.0<br>solely on the<br>results of B-CAD<br>analysis. The<br>ultrasound<br>images displayed<br>on B-CAD must<br>not be used for<br>primary<br>diagnostic<br>interpretation.<br>B-CAD<br>automatically<br>segments and<br>classifies shape<br>and orientation<br>characteristics of<br>user-selected<br>regions of interest<br>(ROI) of breast<br>ultrasound<br>images. | The device<br>highlights the<br>potential polyps<br>(of the colon) in<br>2D and 3 D image<br>views. The results<br>are displayed in<br>the form of "CAD<br>marks" on or near<br>the potential<br>polyps | The Q LAB<br>software provide…
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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.
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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.
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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.