K113442 · Shina Systems , Ltd. · LLZ · Feb 16, 2012 · Radiology
Device Facts
Record ID
K113442
Device Name
3DI
Applicant
Shina Systems , Ltd.
Product Code
LLZ · Radiology
Decision Date
Feb 16, 2012
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
3Di is a software package of PACS workstation for handling multimodality (CT, XA, MR, PET, SPECT, Ultrasound & Mammography) images, which are using DICOM protocol. It includes volume rendering, Multi-planar reconstruction (MPR) and viewing of the inner and outer surfaces of organs as well as within their walls. 3Di is intended for use as an interactive tool for assisting professional Radiologists, Cardiologists and specialists to reach their own diagnosis, by providing tools of communication, clinics networking, WEB Serving, image viewing, image manipulation, 2D/3D image visualization, image processing, reporting and archiving. The 3Di indications for use are processing of Cardiac CT studies, including CT Calcium scoring, CT Cardiac angiography, coronaries analysis, cardiac functional assessment and of CT colonoscopy.
Device Story
3Di is a PACS software workstation for multimodality medical image management; enables network access, visualization, and analysis of DICOM images. Inputs include CT, XA, MR, PET, SPECT, Ultrasound, and Mammography data. Features include volume rendering, multi-planar reconstruction (MPR), and surface/wall visualization. Used by radiologists, cardiologists, and specialists in clinical settings to facilitate diagnosis, reporting, and archiving. Provides tools for image manipulation, 2D/3D visualization, and specific clinical applications like cardiac CT analysis and CT colonoscopy. Output is displayed on workstation for clinician review to support diagnostic decision-making.
Clinical Evidence
Bench testing only. Validation performed by comparing device imaging output to DICOM source mammographic data to ensure image quality equivalence.
Technological Characteristics
PACS software workstation; DICOM protocol compliant; supports multimodality imaging (CT, XA, MR, PET, SPECT, Ultrasound, Mammography). Features volume rendering, MPR, and 2D/3D visualization tools. Designed to meet ISO 14971 safety standards.
Indications for Use
Indicated for professional Radiologists, Cardiologists, and specialists to assist in diagnosis via PACS workstation. Supports multimodality imaging (CT, XA, MR, PET, SPECT, Ultrasound, Mammography) using DICOM protocol. Includes processing for Cardiac CT (calcium scoring, angiography, coronaries analysis, functional assessment) and CT colonoscopy.
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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K113442
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# 510(k) Summary of Safety and Effectiveness (in accordance to 21 CFR 807.87(h)
#### Device Name
Proprietary Device Name: 3Di including Viewing of Mammography images
# Establishment Name and Registration Number of Submitter
Name: Shina Systems Ltd. Corresponding Official: Dan Laor Sireni 6, Haifa 32972, Israel TEL: +972-4-8246632
### Device Classification
| Product Code: | LLZ |
|-----------------------|---------------------------------------------|
| CFR section: | 892.2050 |
| Panel Identification: | Radiology |
| Device Description: | Picture archiving and communications system |
| Classification: | II |
## Reason for 510(k) Submission
Traditional 510(k) Submission
# Identification of Legally Marketed Predicate Devices
K112530 3Di
## Device Description
3Di is a PACS device which enables users to access medical images over a network and to utilize 3Di's image visualization tools to review the images. It provides the following functions: Web server, patient browser, PACS capabilities, multi-modality viewing, CT Cardiac and Colonoscopy clinical applications. The 3Di indications for use have been modified to include viewing of Mammography images.
### Intended use and indications for Use
3Di is a software package of PACS workstation for handling multimodality (CT, XA, MR, PET, SPECT, Ultrasound &Mammography) images, which are using DICOM protocol. It includes volume rendering, Multi-planar reconstruction (MPR) and viewing of the inner and outer surfaces of organs as well as within their walls. 3Di is intended for use as an interactive tool for assisting professional Radiologists, Cardiologists and specialists to reach their own diagnosis, by providing tools of communication, clinics networking, WEB Serving, image viewing, image manipulation, 2D/3D image visualization, image processing, reporting and archiving. The 3Di indications for use are processing of Cardiac CT studies, including CT Calcium scoring, CT Cardiac angiography, coronaries analysis, cardiac functional assessment and of CT colonoscopy.
### Safety & Effectiveness
The device has been designed, verified and validated complying to 21CFR 820.30 regulations. The device has been designed to meet the requirements of ISO 14971 Safety standard. The quality of Mammography imaging has been validated by comparison the device imaging output to the DICOM source mammographic data. The comparison results demonstrate that the 3Di and the DICOM source mammographic data are substantial equivalent in terms of image quality.
### Substantial Equivalency
It is Shina System opinion that the 3Di is substantially equivalent in terms of safety and effectiveness to the predicate device.
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Image /page/1/Picture/0 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a stylized eagle with three stripes forming its body and wings. The eagle faces right. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular fashion around the eagle.
# DEPARTMENT OF HEALTH & HUMAN SERVICES
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
FEB 1 6 2012
Shina Systems Ltd. % Mr. Dan Laor Quality and Regulatory Advisor Sireni 6 32972 HAIFA ISRAEL
Re: K113442
Trade/Device Name: 3Di Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: November 9, 2011 Received: November 21, 2011
Dear Mr. Laor:
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.
If your device is classified (see above) into class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. 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 Parts 801 and 809); medical device reporting (reporting of
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medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter will allow you to begin marketing your device as described in your Section 510(k) premarket with and would began finding of substantial equivalence of your device to a legally marketed nredicate 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 Parts 801 and 809), please contact the Office of In Vitro Diagnostic Device Evaluation and Safety at (301) 796-5450. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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/ReportaProblem/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/cdrh/industry/support/index.html.
Sincerely Yours,
Mary Pastel
Mary S. Pastel, Sc.D. Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
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K113442 Page 1 of 1
# Indications for Use
510(k) Number (if known): K113442
Device Name: 3Di
Indications For Use:
3Di is a software package of PACS workstation for handling multimodality (CT, XA, MR, PET, SPECT, Ultrasound & Mammography) images, which are using DICOM protocol. It includes volume rendering, Multi-planar reconstruction (MPR) and viewing of the inner and outer surfaces of organs as well as within their walls.
3Di is intended for use as an interactive tool for assisting professional Radiologists, Cardiologists and specialists to reach their own diagnosis, by providing tools of communication, clinics networking, WEB Serving, image viewing, image manipulation, 2D/3D image visualization, image processing, reporting and archiving. The 3Di indications for use are processing of Cardiac CT studies, including CT Calcium scoring, CT Cardiac angiography, coronaries analysis, cardiac functional assessment and of CT colonoscopy.
X Prescription Use (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Mary S. Patil
---
(Division Sign Off)
(DMsion Sign-On)
Division of Radiological Devices
Office of In Vitro Diagnostic Device Evaluation and Safety
BLOK
K113442
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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.
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
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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.
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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.