K123584 · Siemens Medical Solutions USA, Inc. · JAK · Mar 12, 2013 · Radiology
Device Facts
Record ID
K123584
Device Name
SYNGO, CT BONE READING
Applicant
Siemens Medical Solutions USA, Inc.
Product Code
JAK · Radiology
Decision Date
Mar 12, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1750
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
The syngo.CT Bone Reading is image analysis software for CT volume data sets which has been continuously acquired with computed tomography (CT) imaging systems. The software combines following digital image processing and visualization tools: - multiplanar reconstruction (MPR) thin/thick, maximum intensity projection (MIP) thin/thick, inverted MIP thin/thick, volume rendering technique (VRT) - geometric measurement tools (distance line, polyline, marker, arrow, angle) - HU measurement tools (Pixel lens, ROI circle, ROI polygonal, ROI freehand, VOI sphere) - curved MPR visualization (unfolded ribs and spine views), cross-section MPRs - tools for creation and editing of anatomical centerline paths - tools for creation and editing of anatomical labels The specific visualizations of spine and rib structures allow for easy manual identification and marking of pathologies such as bone lesions or fractures. Reporting and documentation of results is facilitated by using of appropriate reporting tool, statistics and creation of ranges and snapshots.
Device Story
syngo.CT Bone Reading is post-processing software for CT volume data; operates on syngo.via VA20 platform. Inputs: CT volume data sets. Processing: provides multiplanar reconstruction (MPR), maximum intensity projection (MIP), inverted MIP, volume rendering (VRT), geometric/HU measurements, and curved MPR for unfolded ribs/spine. Output: visualized images, anatomical labels, and reports. Used in clinical settings by radiologists/clinicians. Clinician maintains full control over navigation, measurements, and final diagnosis. Benefits: facilitates manual identification and documentation of bone lesions or fractures through specialized visualization tools.
Clinical Evidence
Bench testing only. Verification and validation testing confirmed software specifications met acceptance criteria. Risk analysis and hazard mitigation were performed. No clinical data provided.
Indicated for use by clinicians as an image analysis software tool for CT volume data sets to assist in the manual identification, marking, and reporting of bone pathologies, including lesions or fractures, in patients undergoing CT imaging.
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
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Traditional 510(k) Submission: syngo.CT Bone Reading
## 510(K) SUMMARY FOR SYNGO.CT BONE READING
## MAR 1 2 2013
Submitted by:
Siemens Medical Solutions USA, Inc.
51 Valley Stream Parkway
Malvern, PA 19355
Date Prepared: February 26, 2013
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR §807.92.
#### 1. Contact Person:
Mrs. Kimberly Mangum Technical Specialist, Regulatory Affairs Submissions Siemens Medical Solutions, Inc. USA 51 Valley Stream Parkway D02 Malvern, PA 19355-1406 Phone: (610) 448-1772 Fax: (610) 448-1778 Email: kimberly.mangum@siemens.com
#### 2. Device Name and Classification
Product Name: syngo.CT Bone Reading Propriety Trade Name: syngo.CT Bone Reading Classification Name: Computed Tomography X-ray System Classification Panel: Radiology CFR Section: 21 CFR §892.1750 Device Class Class II Product Code: 901AK
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KI23584
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Image /page/1/Picture/1 description: The image shows the word "SIEMENS" in a stylized, outlined font. Each letter is clearly defined with a double-line border, giving it a bold and distinct appearance. The font style is consistent throughout the word, creating a uniform and recognizable logo or brand name.
#### Substantial Equivalence: 3.
Siemens syngo.CT Bone Reading post processing software package is substantially equivalent to the following medical devices in commercial distribution:
| Predicate Device Name | FDA Clearance<br>Number | FDA Clearance Date |
|------------------------------------------|-------------------------|--------------------|
| Siemens syngo.CT Vascular Analysis | K112020 | 08/18/2011 |
| Siemens syngo Multimodality<br>Workplace | K072728 | 04/22/2008 |
| Siemens SOMATOM Definition Edge | K120579 | 05/23/2012 |
#### 4. Device Description:
syngo.CT Bone Reading is image analysis software for CT volume data sets which has been continuously acquired with computed tomography (CT) imaging systems.
syngo.CT Bone Reading combines basic and advanced digital image processing and visualization tools for easy manual identification, marking and reporting of pathologies such as bone lesions or fractures.
The software combines following digital image processing and visualization tools:
- . multiplanar reconstruction (MPR) thin/thick, maximum intensity projection (MIP) thin/thick, inverted MIP thin/thick, volume rendering technique (VRT)
- geometric measurement tools (distance line, polyline, marker, ◆ arrow, angle)
- HU measurement tools (Pixel lens, ROI circle, ROI polygonal, ROI . freehand, VOI sphere)
- curved MPR visualization (unfolded ribs and spine views), cross-. section MPRs
- . tools for creation and editing of anatomical centerline paths
- . tools for creation and editing of anatomical labels
Reporting and documentation of results is facilitated by using of appropriate reporting tool, statistics and creation of ranges and snapshots.
Thereby, the user is always free to decide when or whether to apply particular tools. Accordingly, the user can operate the application in basic
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K123584
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# SIEMENS
reading mode only and use conventional navigation on 2D and 3D views. Furthermore, during the whole reading process, the reading clinician has full control on the reported measurements, text and images.
In the following sections we list all tools and explain in detail how different tools are operated, and which steps are to be followed in order to complete and report a clinical diagnosis.
#### 5. Summary of Technical Characteristics of the Subject Device as Compared with the Predicate Device:
syngo.CT Bone Reading software package is designed to be operated on syngo via VA20 platform in a single or multi user environment.
syngo.CT Bone Reading software package provides similar evaluation, reporting, and visualization tools and functionality as the predicate devices syngo MultiModality Workplace (K072728, clearance date April 22, 2008) and syngo.CT Vascular Analysis (K112020, clearance date August 18, 2011). syngo MultiModality Workplace contains visualization tools such as Curved Mode (in 3D application), Panoramic, and Paraxial Views.
These tools can be used to generate reformatted MPR images which are equivalent to the curved and cross-section MPRs in syngo.CT Bone Reading. Predicate device svngo.CT Vascular Analysis also has equivalent visualization tools. Predicate device SOMATOM Definition Edge (K120579, clearance date May 23, 2012) includes similar image processing and visualization tools such as curved MPRs for ribs and spine as well as suggested labeling of ribs and spine.
syngo.CT Bone Reading has similar indications for use and technological characteristics when compared to the predicate devices; therefore Siemens believes that syngo.CT Bone Reading is substantially equivalent to the predicate devices.
#### 6. Nonclinical Testing:
syngo.CT Bone Reading is designed to fulfill the requirements of following standards:
- t IEC 60601-1-6 : 2006; Medical electrical equipment - Part 1-6: General requirements for basic safety and essential performance - Collateral Standard: Usability
- IEC 62304 Ed. 1.0, "Medical Device Software Software Lifecycle . Processes"
- ISO 14971:2007; Medical devices Application of risk management to . medical devices
- DICOM (Digital Imaging and Communications in Medicine) Standard: . . 2008 DICOM conformity is fully covered by syngo.via implementations.
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Non clinical tests were conducted for syngo.CT Bone reading software package during product development. The Risk analysis was completed and risk control implemented to mitigate identified hazards. The testing results supports that all the software specifications have met the acceptance criteria.
Testing for verification and validation of the device was found acceptable to support the claims of substantial equivalence.
#### 7. Indications for Use:
The syngo.CT Bone Reading is image analysis software for CT volume data sets which has been continuously acquired with computed tomography (CT) imaging systems. The software combines following digital image processing and visualization tools:
- multiplanar reconstruction (MPR) thin/thick, maximum intensity . projection (MIP) thin/thick, inverted MIP thin/thick, volume rendering technique (VRT)
- geometric measurement tools (distance line, polyline, marker, . arrow, angle)
- HU measurement tools (Pixel lens, ROI circle, ROI polygonal, ROI . freehand, VOI sphere)
- . curved MPR visualization (unfolded ribs and spine views), crosssection MPRs
- tools for creation and editing of anatomical centerline paths .
- tools for creation and editing of anatomical labels .
The specific visualizations of spine and rib structures allow for easy manual identification and marking of pathologies such as bone lesions or fractures.
Reporting and documentation of results is facilitated by using of appropriate reporting tool, statistics and creation of ranges and snapshots
#### 8. General Safety and Effectiveness Concerns:
The device labeling contains instructions for use and any necessary cautions and warnings, to provide for safe and effective use of the device.
Risk management is ensured via a hazard analysis, which is used to identify potential hazards. These potential hazards are controlled during development, verification and validation testing. To minimize electrical, and radiation hazards, Siemens adheres to recognized and established industry practice and standards.
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K123584
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# SIEMENS
## Traditional 510(k) Submission: syngo.CT Bone Reading
#### 9. Conclusion as to Substantial Equivalence
In summary, Siemens is of the opinion that the syngo.CT Bone Reading software package does not introduce any new potential safety risk and is substantially equivalent to and performs as well as the predicate devices.
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Image /page/5/Picture/0 description: The image shows the logo for the Department of Health & Human Services - USA. The logo features a stylized eagle with three stripes representing the department's mission. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular pattern around the eagle.
### DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
March 12, 2013
Siemens Medical Solutions, Inc. % Ms. Kimberly Mangum Regulatory Affairs Specialist 51 Valley Stream Parkway D-02 MALVERN PA 19355
Re: K123584
Trade/Device Name: Syngo.CT Bone Reading Regulation Number: 21 CFR 892.1750 Regulation Name: Computed Tomography X-ray System Regulatory Class: Class II Product Code: JAK Dated: February 8, 2013 Received: February 15, 2013
Dear Ms. Mangum:
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 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
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Page 2 - Ms. Mangum
CFR Part 807): labeling (21 CFR Part 801): medical device reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 Diagnostics and Radiological Health 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/dcfault.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/industrv/support/index.html.
Sincerely yours,
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Janine M. Morris Director, Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
for
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# Indications for Use
510(k) Number (if known):
#### Device Name: syngo.CT Bone Reading
### Indications for Use:
The syngo.CT Bone Reading is image analysis software for CT volume data sets which has been continuously acquired with computed tomography (CT) imaging The software combines following digital image processing and systems. visualization tools:
- multiplanar reconstruction (MPR) thin/thick, maximum intensity ◆ projection (MIP) thin/thick, inverted MIP thin/thick, volume rendering technique (VRT)
- geometric measurement tools (distance line, polyline, marker, ● arrow, angle)
- HU measurement tools (Pixel lens, ROI circle, ROI polygonal, ROI freehand, VOI sphere)
- curved MPR visualization (unfolded ribs and spine views), cross-. section MPRs
- . tools for creation and editing of anatomical centerline paths
- . tools for creation and editing of anatomical labels
The specific visualizations of spine and rib structures allow for easy manual identification and marking of pathologies such as bone lesions or fractures. Reporting and documentation of results is facilitated by using of appropriate reporting tool, statistics and creation of ranges and snapshots.
Prescription Use X (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 OF NEEDED)
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(Division Sign Off) Division of Radiological Health Office of In Vitro Diagnostic and Radiological Health 510(k) K123584
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.