K143196 · Siemens AG Medical Solutions · OEB · May 12, 2015 · Radiology
Device Facts
Record ID
K143196
Device Name
syngo.CT Lung CAD
Applicant
Siemens AG Medical Solutions
Product Code
OEB · Radiology
Decision Date
May 12, 2015
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
Lung Nodule Detection
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Indications for Use
The syngo.CT Lung CAD device is a computer-aided detection (CAD) tool designed to assist radiologists in the detection of solid pulmonary nodules during review of multi-detector computed tomography (MDCT) examinations of the chest. The software is an adjunctive tool to alert the radiologist to regions of interest (ROI) that may have been initially overlooked. The syngo.CT Lung CAD device is intended to be used as a second reader after the radiologist has completed his/her initial read.
Device Story
syngo.CT Lung CAD is a software-based computer-aided detection (CAD) tool for thoracic CT examinations. It processes MDCT images (4+ detector rows) to identify solid pulmonary nodules (≥ 3 mm). The device functions as a second reader; it alerts radiologists to regions of interest (ROI) that may have been initially overlooked. It is operated by radiologists in a clinical setting. The device outputs CAD marks for suspected nodules, which are displayed via compatible visualization applications (e.g., syngo PET&CT Oncology). The radiologist evaluates these marks to inform clinical decision-making. The device does not alter original image data; it serves as an adjunctive tool to improve nodule detection sensitivity.
Clinical Evidence
Bench testing only. Performance evaluated via standalone testing comparing the subject device to the predicate. Metrics included sensitivity, false positive rates, and dismissibility of false positives. Verification and validation testing confirmed software specifications met acceptance criteria. No clinical prospective or retrospective studies were required.
Technological Characteristics
Software-based CAD tool for MDCT images. Operates on the syngo.via platform. Conforms to ISO 14971:2007 (risk management), IEC 62304:2006 (software lifecycle), and IEC 62366:2007 (usability). No patient-contacting materials. Designed for 4+ detector row CT scanners.
Indications for Use
Indicated for radiologists assisting in the detection of solid pulmonary nodules (≥ 3 mm, optimized for 3-10 mm) in MDCT chest examinations. Used as a second reader tool after initial radiologist review. Applicable to central/peripheral nodules and round/irregular contours; usable with or without contrast enhancement.
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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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
May 12, 2015
Siemens AG Medical Solutions % James Kuhn Jr. Senior Regulatory Submissions Manager 20 Valley Stream Parkway MALVERN PA 19355
Re: K143196
Trade/Device Name: syngo.CT Lung CAD Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: OEB Dated: April 20, 2015 Received: April 22, 2015
Dear Mr. Kuhn:
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 (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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 Industry and Consumer Education 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,
Robert A. Ochs
Robert Ochs. Ph.D. Acting Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) k143196
Device Name syngo.CT Lung CAD
#### Indications for Use (Describe)
The syngo.CT Lung CAD device is a computer-aided detection (CAD) tool designed to assist radiologists in the detection of solid pulmonary nodules during review of multi-detector computed tomography (MDCT) examinations of the chest. The software is an adjunctive tool to alert the radiologist to regions of interest (ROI) that may have been initially overlooked. The syngo. CT Lung CAD device is intended to be used as a second reader after the radiologist has completed his/her initial read.
| Type of Use (Select one or both, as applicable) | |
|------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------|
| <span style="text-decoration: overline;">X</span> Prescription Use (Part 21 CFR 801 Subpart D) | <span style="text-decoration: overline;"> </span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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# 510(k) Summary
This summary of 510(k) safety and effectiveness is provided in accordance with the requirements of SMDA 1990 and 21 CFR §807.92
Date Prepared: May 11tt, 2015
## General Information
#### Legal Manufacturer
Siemens AG Medical Solutions Henkestrasse 127 91052 Erlangen Germany
#### Manufacturing Location
Siemens Medical Solutions USA, Inc. 20 Valley Stream Parkway Malvern PA. 19355
#### Establishment Registration Number: 3002808157
#### Contact Person
James E. Kuhn Jr. Senior Regulatory Submissions Manager Phone: (610) 448-3006 Fax: (610) 448-4274 Email: james.kuhn@siemens.com
#### Device Name and Classification
Trade Name: syngo.CT Lung CAD Classification Name: Lung computed tomography system, computer-aided detection 21 CFR §892. 2050 CFR Section: Device Class: Class II Product Code: OEB
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## Safety and Effectiveness Information Supporting the Substantial Equivalence Determination
## Device Description
syngo.CT Lung CAD is a medical device that is designed to perform CAD processing in thoracic CT examinations for the detection of solid pulmonary nodules ≥ 3 mm in size. The device processes images acquired with Siemens multi-detector CT scanners with 4 or more detector rows.
The syngo.CT Lung CAD device supports the full range of nodule locations (central, peripheral) and contours (round, irregular). The detection performance of the syngo.CT Lung CAD device is optimized for nodules between 3 mm and 10 mm in size. Additionally, the syngo.CT Lung CAD device can be used in scans with or without contrast enhancement.
The device receives images via an input data interface, performs CAD processing and provides locations of suspected nodules as an output. Specific visualizations, such as the syngo PET&CT Oncology application (K093621) or equivalent Siemens products, should be used (but are not part of this clearance) to display the CAD marks. The syngo.CT Lung CAD device is intended to be used as a second reader only after the initial read is completed.
## Intended Use
The syngo.CT Lung CAD device is a computer-aided detection (CAD) tool designed to assist radiologists in the detection of solid pulmonary nodules during review of multi-detector computed tomography (MDCT) examinations of the software is an adjunctive tool to alert the radiologist to regions of interest (ROI) that may have been initially overlooked. The syngo.CT Lung CAD device is intended to be used as a second reader after the radiologist has completed his/her initial read.
## Safety and Effectiveness Information
Software design description, hazard analysis, and technical and safety information have also been completed and provided in support of this device. Risk management is ensured via the hazard analysis, which is used to identify potential hazards. These potential hazards are controlled during the development, verification/validation testing, and adherence to recognized and established industry practices and standards.
The device has no patient contacting materials and is utilized only by trained professionals. The output of the device is evaluated by trained professionals as a second reader. Use of this device does not impact the quality or status of the original acquired data.
## Substantial Equivalence
The syngo.CT Lung CAD is substantially equivalent, both in intended use and technical characteristics to the following device:
| Company | Product - Trade Name | 510(k) # |
|---------|----------------------|----------|
| Siemens | syngo Lung CAD | K063877 |
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In summary, Siemens is of the opinion that the syngo.CT Lung CAD software, as described within this document, does not pose any unmitigated potential safety risks and is substantially equivalent to and performs as well as the predicate device.
The difference between the predicate device syngo Lung CAD and syngo.CT Lung CAD are minor in nature and both devices have the same characteristics and functionalities. The comparison table below summarizes the differences and similarities between the two devices.
| Subject Device | syngo Lung CAD<br>510(k) (K063877) | syngo.CT Lung CAD<br>new version |
|---------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Differences | | |
| Device name | syngo Lung CAD | syngo.CT Lung CAD |
| Platform | syngo classic | syngo.via |
| Similarities | | |
| Workflow | Second reader tool | Second reader tool |
| Detection target | Solid pulmonary nodules in<br>diagnostic chest CT exams | Solid pulmonary nodules in<br>diagnostic chest CT exams |
| Indications For Use | The syngo Lung CAD device<br>is a computer-aided detection<br>(CAD) tool designed to assist<br>radiologists in the detection of<br>solid pulmonary nodules during<br>review of multi-detector<br>computed tomography (MDCT)<br>examinations of the chest. The<br>software is an adjunctive tool to<br>alert the radiologist to regions<br>of interest (ROI) that may have<br>been initially overlooked.<br>The syngo Lung CAD device<br>is intended to be used as a<br>second reader after the<br>radiologist has completed<br>his/her initial read. | The syngo.CT Lung CAD device<br>is a computer-aided detection<br>(CAD) tool designed to assist<br>radiologists in the detection of<br>solid pulmonary nodules during<br>review of multi-detector<br>computed tomography (MDCT)<br>examinations of the chest. The<br>software is an adjunctive tool to<br>alert the radiologist to regions of<br>interest (ROI) that may have<br>been initially overlooked.<br>The syngo.CT Lung CAD device<br>is intended to be used as a<br>second reader after the<br>radiologist has completed<br>his/her initial read. |
### Non-clinical Performance Testing Summary
Non-clinical tests were conducted for the device syngo.CT Lunq CAD during product development. The modifications described in this Premarket Notification were supported with verification and validation testing.
Siemens claims conformance to the following standards:
- ISO 14971:2007: Medical Devices Application of risk assessment to medical devices.
- IEC 62304:2006: Medical Device Software life cycle processes.
- IEC 62366:2007: Application of usability engineering to medical devices.
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## Software Verification and Validation
Testing, including standalone performance testing, were conducted to assess the new syngo.CT Lung CAD device and compare it to the predicate device with respect to false positives, sensitivity, and the dismissibility of false positives. The results of these tests support the substantial equivalence of this device.
The Risk Analysis was completed and risk control implemented to mitigate identified hazards. The testing results support that all the software specifications have met the acceptance criteria. Testing for verification and validation for the device was found acceptable to support the claims of substantial equivalence.
Software documentation for a Moderate Level of Concern software per FDA's Guidance Document "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" issued on May 11, 2005 is included as part of this submission. The performance data demonstrates that the subject device conforms to the special controls for medical devices containing software.
### Summary
Performance tests were conducted to test the functionality of the device syngo.CT Lung CAD. Results of all conducted testing were found acceptable in supporting the claim of substantial equivalence.
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.