K140093 · Anatomage, Inc. · LLZ · Mar 7, 2014 · Radiology
Device Facts
Record ID
K140093
Device Name
TABLE
Applicant
Anatomage, Inc.
Product Code
LLZ · Radiology
Decision Date
Mar 7, 2014
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
Table is a software application used for the display and 3D visualization of medical image files from scanning devices such as CT and MRI. It is intended for use by radiologists, clinicians, referring physicians and other qualified individuals to retrieve, process, render, review, and assist in diagnosis, utilizing standard PC hardware.
Device Story
Table is a volumetric imaging software application for Windows-based PCs; used by radiologists, clinicians, and physicians. Input consists of DICOM medical imaging data (CT/MRI). Software transforms raw data into 3D visualizations; allows user manipulation via touch control or mouse (zooming, flipping, contrast/brightness adjustment, cutting, slicing). Provides tools for linear/angular measurements and image annotation. Output is rendered 2D/3D anatomical images on a computer screen. Used in clinical settings to assist in diagnosis and demonstrate pathology examples for educational purposes. Benefits include enhanced visualization and measurement capabilities for patient data.
Clinical Evidence
Bench testing only. Comparison of images rendered by Table and predicate software; evaluation of measurement tools by a radiology expert. Confirmed stability, performance, and effectiveness in rendering and measurement functions.
Technological Characteristics
Standalone software; runs on standard off-the-shelf x86 64-bit Windows PCs. Supports DICOM data. Features touch-screen and mouse/keyboard interface. No specialized hardware requirements beyond standard PC.
Indications for Use
Indicated for radiologists, clinicians, and referring physicians to retrieve, process, render, and review CT and MRI medical image files to assist in diagnosis. Not indicated for mammography.
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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K 140093
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## 5. 510K Summary
:
| | MAR - 7 2014 |
|---------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submitter | Anatomage Inc.<br>111 N. Market Street #800<br>San Jose, CA 95113<br>Phone: (408) 885-1474<br>Fax: (408) 295-9786 |
| Regulatory Contact Person | Mike Mendez, Quality Manager<br>Phone Number: (408) 885-1474 ext 119<br>Cell: (415) 370-9794 |
| Device Name | Table |
| 510(k) Preparation Date | January 07, 2014 |
| Common Name | System, Image Processing, Radiological |
| Classification | Class II |
| Classification Name | Imaging Processing System, LLZ, 21 CFR 892.2050 |
| Product Code | LLZ, 21 CFR 892.2050 |
| Device Description | Table is a volumetric imaging software designed specifically for<br>clinicians, doctors, physicians, and other qualified medical<br>professionals. The software runs in Windows operating systems<br>and visualizes medical imaging data on the computer screen.<br>Users are able to examine anatomy on a computer screen and use<br>software tools to move and manipulate images by turning.<br>zooming, flipping, adjusting contrast and brightness, cutting, and<br>slicing using either touch control or a mouse. The software also<br>has the ability to perform measurements of angle and length.<br>There are multiple tools to annotate and otherwise mark areas of<br>interest on the images. Additionally, Table has the ability to<br>demonstrate pathology examples of patient data for educational<br>purposes. |
| Intended Use | Table is a software application used for the display and 3D<br>visualization of medical image files from scanning devices such as<br>CT and MRI. It is intended for use by radiologists, clinicians,<br>referring physicians and other qualified individuals to retrieve,<br>process, render, review, and assist in diagnosis, utilizing standard<br>PC hardware. |
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## Equivalent Devices
Technological Characteristic
This device is not indicated for mammography use. K123519 Anatomage, InVivoDental
visualized as volume or 2D images.
Table and the predicate device are standalone software. These software devices are designed to be installed on standard off-theshelf x86 processor based computers running the Windows operating system. DICOM data from medical imaging devices are
A difference between Table and the predicate software is the touch interface that has been designed to complement a standard interface of mouse and keyboard. This interface is designed to provide a convenient way of using the software but does not change the functionality of the device from a system designed for keyboard and mouse controlled only. Also, the Table is designed to run on 64 bit operating systems only while InVivoDental is able to run on both 64 and 32 bit. While In VivoDental can perform volume and area measurements. Table performs the essential linear and angular measurement only. In VivoDental is designed with specialized tools for dental implant planning. Table does not have this feature. InVivoDental has tools for looking at custom cross-sectional troughs. This dental feature is not included in Table. Table cannot superimpose images nor perform cephalometric analysis. Table cannot save case workups, nor does it display imbedded patient information.
Testing confirmed that the software is stable and operating as designed.
The following quality assurance measures were applied to the development of the system:
Risk Analvsis
- · Requirements Reviews
· Design Reviews
· Performance testing (Verification)
· Safety testing (Verification)
· Final acceptance testing (Validation)
· Bench testing to compare with predicate software
Testing confirmed that the software is stable and operating as designed. Testing also confirmed that the software has been evaluated for hazards and that risk has been reduced to acceptable levels.
Bench testing of the software with predicate software was performed by evaluation of images rendered by Table and
Non-Clinical Test Results
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K140093
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predicate software. This testing and evaluation included testing of measurement tools in both predicate and subject software and was evaluated by an expert in the field of radiology. This testing confirms that Table is as effective as its predicates in its ability to perform its essential functions of measurement and rendering of DICOM data.
Based on the intended use, product, performance, and testing information provided in this notification. the subject device has been shown to be substantially equivalent in technology, functionality, and indicated use to the currently marketed predicate device.
Summary
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DEPARTMENT OF HEALTH & HUMAN SERVICES
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 eagle or bird-like symbol with three curved lines representing its wings or body. The symbol is enclosed within a circular border, and the text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" is arranged around the upper portion of the circle.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
March 7, 2014
Anatomage, Inc. % Mr. Mike Mendez Quality Manager 111 N. Market Street #800 SAN JOSE CA 95113
Re: K140093
Trade/Device Name: Table Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: January 7, 2014 Received: January 14, 2014
Dear Mr. Mendez:
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, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register. \
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (2) 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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Page 2-Mr. Mendez
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Small Manufacturers. International and Consumer Assistance at its tollfree number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.lda.gov/MedicalDevices/Resources/or You/Industry/default.htm. Also, please note the regulation entilled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportalProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
![]()
for
Janine M. Morris Director, Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## 4. Indications For Use Statement
510(k) Number (if known): K140093
Device Name: __ Table
Indications for Use:
Table is a software application used for the display and 3D visualization of medical image files from scanning devices such as CT and MRI. It is intended for use by radiologists, clinicians, referring physicians and other qualified individuals to retrieve, process, render, review, and assist in diagnosis, utilizing standard PC hardware.
This device is not indicated for mammography use.
Over-The-Counter Use Prescription Use V AND/OR (Part 21 CFR 801 Subpart D) (21 CFR 801 Subpart C) (PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・
Concurrence of CDRH, Office of In Vitro Diagnostics and Radiological Health (OIR)
\$m_{i} \cdot \beta\$
Division Sign-Off Office of In Vitro Diagnostics and Radiological Health (OIR) Evaluation and Safety 510(k) K140093
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.