LUNGCARE CT SOFTWARE PACKAGE WITH EXTENDED FUNCTIONALITY
K033374 · Siemens AG Medical Solutions · OEB · Nov 6, 2003 · Radiology
Device Facts
Record ID
K033374
Device Name
LUNGCARE CT SOFTWARE PACKAGE WITH EXTENDED FUNCTIONALITY
Applicant
Siemens AG Medical Solutions
Product Code
OEB · Radiology
Decision Date
Nov 6, 2003
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device, 3rd-Party Reviewed
Indications for Use
LungCARE CT is a self-contained image analysis software package for evaluating CT volume data sets. Combining enhanced commercially available digital image processing tools with an optimized workflow and reporting tools, the software is designed to support the physician in confirming the presence or absence of physician identified lung lesions (eg. nodules) in addition to evaluation, documentation and follow-up of any such lesions using standard or low-dose spiral CT scanning. The LungCare CT Software Package with extended functionality contains modifications which support the user with a special workflow based on automated segmentation for the visual identification of possible lesions (Nodule enhanced Viewing). This visualization tool allows for volumetric analysis of pulmonary nodule or lesion size over time, helping the Physician to assess the changes in their growth. It is also designed to help the physician classify conspicuous regions of tissue unambiguously having determined their size, dimensions, shape and position.
Device Story
LungCare CT is a software package for analyzing CT volume datasets. It processes CT images to assist physicians in identifying, evaluating, and tracking lung lesions. The device utilizes digital image processing tools (MIP, MPR, SSD, VRT) and an automated segmentation workflow (Nodule enhanced Viewing) to identify potential lesions. It displays connected voxels above a specific Hounsfield-Unit (HU) threshold to calculate lesion contours. The software provides volumetric analysis and classification tools for lesion size, shape, and position. Used in clinical settings by physicians, the output is presented as a visualization tool to support clinical decision-making regarding lesion growth over time. It facilitates documentation and follow-up of pulmonary nodules.
Clinical Evidence
No clinical data provided. Safety and effectiveness are supported by hazard analysis, software verification, and validation testing.
Technological Characteristics
Software-based image analysis package; operates on syngo platform. Features automated segmentation using Hounsfield-Unit (HU) thresholding to identify connected voxels. Includes tools for MIP, MPR, SSD, and VRT. Designed for use with standard or low-dose spiral CT data.
Indications for Use
Indicated for physicians to confirm presence/absence of lung lesions (nodules) in patients undergoing standard or low-dose spiral CT scanning. Supports evaluation, documentation, and longitudinal follow-up of lesion growth, size, dimensions, shape, and position.
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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Image /page/0/Picture/0 description: The image shows the word "SIEMENS" in all capital letters. The font appears to be a bold sans-serif style. The letters have a slightly rough or distressed texture, giving them a vintage or worn appearance.
NOV - 6 2003
510(k)
Page 1 of 3
# Attachment 9
1 033334
## - 510(k) - Summary
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.
#### GENERAL INFORMATION l.
#### Device Name and Classification 1.
| Product Name: | LungCare CT<br>Software Package with extended functionality |
|-----------------------|-------------------------------------------------------------|
| Common Name: | 3D CT Reconstruction Software |
| Classification Name: | Accessory to Computed Tomography X-ray System |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.1750 |
| Device Class: | Class II |
| Product Code: | 90 JAK |
### Importer/Distributor Establishment: 2. Registration Number: 2240869
Siemens Medical Solutions, Inc. 51 Valley Stream Pkwy Malvern, PA 19355
#### 3. Manufacturing Facility:
Siemens AG Medical Solutions Henkestrasse 127
D-91052 Erlangen, Germany
#### 4. Contact Person:
Mr. Rüdiger Körner Regulatory Submissions Siemensstr.1; D-91301 Forchheim +49 9191 18-9355 Phone: +49 9191 18-9988 Fax:
- Date of Preparation of Summary: September 19th 2003 5.
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# SIEMENS
510(k) Page 2 of 2
K033374
### SAFETY AND EFFECTIVENESS INFORMATION SUPPORTING THE SUBSTANTIAL II. EQUIVALENCE DETERMINATION
#### General Safety and Effectiveness Concerns: 6.
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 via software development, verification and validation testing. To minimize electrical, and radiation hazards, Siemens adheres to recognized and established industry practice and standards.
#### 7. Substantial Equivalence:
The LungCare CT software package with extended functionality, adressed in this premarket notification, is substantially equivalent to the following commercially available software package
| Manufacturer | Product | 510(k) | Clearance date |
|--------------|----------------------|---------|----------------|
| 1. Siemens | LungCare CT Software | K022013 | July 16, 2002 |
In summary, Siemens is of the opinion that LungCARE CT software package with extended functionality does not introduce any new potential safety risks and is substantially equivalent to and performs as well as the predicate software components and the predicate device.
#### Device Description and Intended Use: 8.
This premarket notification covers Siemens LungCARE CT software package with extended functionality. It is based on Siemens syngo software platform.
This premarket notification covers Siemens LungCARE CT - Software package with extended functionality. LungCARE CT is a self-contained image analysis software package for evaluating CT volume data sets. Combining enhanced commercially available digital image processing tools (MIP, MPR SSD, VRT), evaluation tools (volumetric estimation using consistent standardised measurement protocol, comparator tool for lesion matching by synchronisation of two datasets, classification of lesions using configurable descriptors) and reporting tools (targeted presets, saved lesion location) with optimised workflow palette. The LungCare CT Software Package with extended functionality contains modifications which support the user with a special workflow based on automated segmentation for the visual identification of possible lesions (Nodule enhanced Viewing).
This software package is designed to support the physician in confirming the presence or absence of physician identified lung lesions (e.g. lesions) in addition to evaluation, documentation and follow-up of any such lesions using standard or lowdose spiral CT scanning. This visualisation tool allows for volumetric analysis of pulmonary lesion or lesion size over time, helping the Physician to assess the
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# SIEMENS
K033374
510(k
changes in their growth. It is also designed to help the physician classify conspicuous regions of tissue unambiguously, with respect to their size, dimensions, shape and position.
The enhanced part of the LungCARE CT software package provides an extended evaluation of segmentation by displaying all connected voxels above a certain HU ( Hounsfield-Unit ) threshold. The system will now indicate the voxels of equivalent signal level and calculate the contours of the suspicious lesion/lesion.
م 510(k) submission for SIEMENS ' LungCare – Nodule enhanced Viewing Software Package
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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 circular arrangement of text that reads "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA". Inside the circle is a stylized symbol that resembles an abstract human form or a caduceus, often associated with healthcare organizations.
### Public Health Service
MAR 1 1 2009
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Siemens AG Medical Solutions % Mr. Stefan Preiss Responsible Third Party Official TÜV America, Inc. TÜV Product Service 1775 Old Highway 8 NEW BRIGHTON MN 55112-1891
Re: K033374
> Trade/Device Name: LungCare CT Software Package Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: OEB Dated: October 16, 2003 Received: October 22, 2003
Dear Mr. Preiss:
This letter corrects our substantially equivalent letter of November 6, 2003.
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 such 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.
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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; 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.
This letter will allow you to begin marketing your device as described in your Section 510/k) premarket notification. The FDA finding os substantial equivalence of your device to a legally marketed predicate 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 Part 801), please contact the Office of Compliance at one of the following numbers, based on the regulation number at the top of this letter.
| 21 CFR 876.xxx | (Gastroenterology/Renal/Urology) | (240) 276-0115 |
|----------------|----------------------------------|----------------|
| 21 CFR 884.xxx | (Obstetrics/Gynecology) | (240) 276-0115 |
| 21 CFR 892.xxx | (Radiology) | (240) 276-0120 |
| Other | | (240) 276-0100 |
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding postmarket surveillance, please contact CDRH's Office of Surveillance and Biometrics' (OSB's) Division of Postmarket Surveillance at 240-276-3474. For questions regarding the reporting of device adverse events (Medical Device Reporting (MDR)), please contact the Division of Surveillance Systems at 240-276-3464. You may obtain other general information on your responsibilities under the Act from the Division of Small Manufactures, International and Consumer Assistance at its toll-free number (800) 638-2041 or (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry.suppot/index.html.
Sincerely vours.
Janine M. Morris
Janine M. Morris Acting Director, Division of Reproductive. Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# SIEMENS
510(k)
Attachment 2
## Indication for use
510(k) Number (if known):
K 433374
Device Name: functionality
LungCare CT - Software Package with extended
LungCARE CT is a self-contained image analysis software package for evaluating CT volume data sets. Combining enhanced commercially available digital image processing tools with an optimized workflow and reporting tools, the software is designed to support the physician in confirming the presence or absence of physician identified lung lesions (eg. nodules) in addition to evaluation, documentation and follow-up of any such lesions using standard or low-dose spiral CT scanning. The LungCare CT Software Package with extended functionality contains modifications which support the user with a special workflow based on automated segmentation for the visual identification of possible lesions (Nodule enhanced Viewing).
This visualization tool allows for volumetric analysis of pulmonary nodule or lesion size over time, helping the Physician to assess the changes in their growth. It is also designed to help the physician classify conspicuous regions of tissue unambiguously having determined their size, dimensions, shape and position.
(Please do not write below this line - continue on another page if needed)
Concurrence of the CDRH, Office of Device Evaluation (ODE)
Prescription Use
er 21 CFR \$801.109)
OR Over-The-Counter Use
Nancy Croasdon
Dir. of Off.
Division Sign-On
Division of Reproductive, Abdominal,
and Radiological Devices
510(k) Number. K033374
3
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.