(245 days)
syngo.CT Skull Unfolding provides curved MIP images of skull and brain surface for visual assessment by a radiologist.
syngo.CT Skull Unfolding is image analysis software for CT volume data sets which has been continuously acquired with computed tomography (CT) imaging systems. syngo.CT Skull Unfolding provides advanced visualization of the skull and brain surface for easy manual identification, marking and reporting of pathologies such as skull fractures and hematomas. It receives images from a hosting application and returns DICOM images to a hosting application, which can display the results within its user interface. The device does not mark, highlight, or direct users' attention to a specific location in the original image.
The provided text does NOT include acceptance criteria or a study that proves the device meets specific acceptance criteria in the manner typically found for a diagnostic algorithm. The document focuses on establishing substantial equivalence to a predicate device, which is a different regulatory pathway.
Here's a breakdown of why the requested information is largely absent and what details are available:
1. Table of Acceptance Criteria and Reported Device Performance:
- Acceptance Criteria: Not explicitly stated for performance metrics. The document instead focuses on "conformance with special controls for medical devices containing software" and that "all the software specifications have met the acceptance criteria." These are very high-level and refer to internal development and testing, not specific quantitative performance targets like sensitivity, specificity, or accuracy for a diagnostic task.
- Reported Device Performance: No specific quantitative performance metrics (e.g., accuracy, sensitivity, specificity, F1-score) are reported for the syngo.CT Skull Unfolding device. The document generally states that "The results of these tests demonstrate that the subject device performs as intended" and that "The result of all conducted testing was found acceptable to support the claim of substantial equivalence."
2. Sample Size Used for the Test Set and Data Provenance:
- Sample Size for Test Set: Not specified. The document mentions "non-clinical tests (integration and functional) were conducted," but does not provide details on the number of cases or images used for these tests.
- Data Provenance: Not specified. There is no information about the country of origin of the data or whether it was retrospective or prospective.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications:
- Number of Experts: Not specified.
- Qualifications of Experts: Not specified.
- Ground Truth Establishment: Not specified. The device "provides curved MIP images of skull and brain surface for visual assessment by a radiologist" but does not perform an automated diagnostic task itself from which ground truth would typically be established.
4. Adjudication Method for the Test Set:
- Not applicable/Not specified. Since no independent expert review is mentioned for diagnostic performance, an adjudication method is not discussed.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done:
- No, an MRMC comparative effectiveness study was NOT done. The document describes the device as a "visualization method" and advanced visualization software, implying it's a tool to assist radiologists, not an AI intended to directly improve diagnostic accuracy that would typically be evaluated in an MRMC study. The comparison is mainly focused on technological characteristics with predicate and reference devices.
- Effect Size of Human Readers Improve with AI vs. Without AI Assistance: Not applicable, as no such study was conducted or reported.
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done:
- No, a standalone performance study in a diagnostic sense was NOT done. The device's purpose is to "provide curved MIP images... for visual assessment by a radiologist." It is an assistive visualization tool, not an autonomous diagnostic algorithm.
7. The Type of Ground Truth Used:
- Not applicable/Not specified. The document focuses on the functionality of the software (e.g., "unfolded view of the skull," "curved maximum intensity projection (MIP)"). Ground truth, in the context of diagnostic accuracy, is not discussed because the device is a visualization tool rather than a diagnostic algorithm generating its own interpretations.
8. The Sample Size for the Training Set:
- Not specified. Given that the document emphasizes "same testing methods with same workflows as used to clear the predicate device" and that the device is primarily a visualization tool rather than a deep learning model for classification or detection, a "training set" in the common AI sense is not applicable or not explicitly mentioned. Bone segmentation uses "Thresholding based skull segmentation," which is a rule-based or traditional image processing technique, not typically requiring a large training dataset.
9. How the Ground Truth for the Training Set Was Established:
- Not applicable/Not specified, as no training set is mentioned in the context of complex AI models requiring established ground truth.
In summary, the provided FDA 510(k) clearance document for syngo.CT Skull Unfolding (K203411) focuses on establishing substantial equivalence based on technological characteristics and functional testing. It does not provide the kind of detailed performance metrics, acceptance criteria, or study design typically associated with the rigorous evaluation of diagnostic AI algorithms (e.g., sensitivity, specificity, reader studies, ground truth establishment). The device is described as an "image analysis software" that "provides advanced visualization of the skull and brain surface for easy manual identification, marking and reporting of pathologies," indicating it's a tool for radiologists, not a standalone diagnostic AI.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA acronym with the full name of the agency on the right. The FDA part of the logo is in blue, with the acronym in a square and the full name written out to the right of the square. The full name of the agency is "U.S. Food & Drug Administration".
Siemens Medical Solutions USA, Inc. % Tabitha Estes Regulatory Affairs Specialist 810 Innovation Drive KNOXVILLE TN 37932
Re: K203411
Trade/Device Name: syngo.CT Skull Unfolding Regulation Number: 21 CFR 892.1750 Regulation Name: Computed tomography x-ray system Regulatory Class: Class II Product Code: JAK Dated: June 18, 2021 Received: June 21, 2021
Dear Tabitha Estes:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmp/pmn.cfm identifies combination product submissions. 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 of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
July 22, 2021
{1}------------------------------------------------
https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
Indications for Use
510(k) Number (if known) K203411
Device Name syngo.CT Skull Unfolding
Indications for Use (Describe)
syngo.CT Skull Unfolding provides curved MIP images of skull and brain surface for visual assessment by a radiologist.
Type of Use (Select one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
510(k) Summary
FOR
SYNGO.CT SKULL UNFOLDING
Identification of the Submitter l.
Importer/Distributor
Siemens Medical Solutions USA, Inc. 40 Liberty Boulevard Malvern, PA 19355
Establishment Registration Number
2240869
Manufacturing Site
Siemens Healthcare GmbH Siemensstr 1 D-91301 Forchheim, Germany
Establishment Registration Number
3004977335
Submitter Contact Person:
Tabitha Estes Regulatory Affairs Specialist Siemens Medical Solutions, Inc. USA 810 Innovation Drive Knoxville, TN 37932 Phone: (865) 804-4553 Email: tabitha.estes@siemens-healthineers.com
Alternate Contact:
Alaine Medio
Device Name and Classification II.
| Product Name: | syngo.CT Skull Unfolding |
|---|---|
| Propriety Trade Name: | syngo.CT Skull Unfolding |
| Classification Name: | System, X-Ray, Tomography, Computed |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.1750 |
| Device Class: | Class II |
| Product Code: | JAK |
{4}------------------------------------------------
lll. Predicate Device
Predicate Device:
| Trade Name: | syngo.CT Bone Reading |
|---|---|
| 510(k) Number: | K123584 |
| Clearance Date: | 03/12/2013 |
| Classification Name: | System, X-Ray, Tomography, Computed |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.1750 |
| Device Class: | Class II |
| Product Code: | JAK |
Reference Device:
| Trade Name: | syngo.via VB40 |
|---|---|
| 510(k) Number: | K191040 |
| Clearance Date: | 05/16/2019 |
| Classification Name: | System, X-Ray, Tomography, Computed |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.1750 |
| Device Class: | Class II |
| Product Code: | JAK |
IV. Device Description
This section describes the technical features and workflow for subject device syngo.CT Skull Unfolding. syngo.CT Skull Unfolding is image analysis software for CT volume data sets which has been continuously acquired with computed tomography (CT) imaging systems. syngo.CT Skull Unfolding provides advanced visualization of the skull and brain surface for easy manual identification, marking and reporting of pathologies such as skull fractures and hematomas. It receives images from a hosting application and returns DICOM images to a hosting application, which can display the results within its user interface. The device does not mark, highlight, or direct users' attention to a specific location in the original image.
V. Indications for Use
syngo.CT Skull Unfolding provides curved MIP images of skull and brain surface for visual assessment by a radiologist.
Comparison of Technological Characteristics with the Predicate Device VI.
The differences and similarities between the above referenced predicate device are listed at a highlevel in the following table:
{5}------------------------------------------------
| Features | Subject Device | Predicate Device | Reference Device | Summary |
|---|---|---|---|---|
| Siemenssyngo.CT Skull Unfolding | Siemenssyngo.CT Bone Reading | Siemenssyngo.via VB40 | ||
| AdvancedVisualization | Unfolded view of theskull | Unfolded view of theribs | Advanced visualization ofCurved spine ranges | ComparableBoth subject andpredicate device provideunfolded views of therespective anatomy asadvanced visualization |
| VisualizationTechniques | Curved maximumintensity projection(MIP) | Curved multiplanarreconstruction (MPR)and other filtertechniques (multiplanarreconstruction (MPR)thin/thick, maximumintensity projection(MIP) thin/thick, invertedMIP thin/thick, volumerendering technique(VRT)) | Curved multiplanarreconstruction (MPR)and other filtertechniques (multiplanarreconstruction (MPR)thin/thick, maximumintensity projection(MIP) thin/thick, invertedMIP thin/thick, volumerendering technique(VRT)) | SimilarBoth, the subject device,and the reference deviceprovide curvedvisualizations. The subjectdevice represents asubset of functionalities. |
| Localization ofAnatomy | Head localization viaanatomical range "HeadOrbitomeatal" based onlandmark detection | Spine Localization viaspine range based onlandmark detection | Anatomical auto viewsand anatomical ranges(by selecting anatomicalpresets, e.g. "HeadOrbitomeatal") based onlandmark detection. | SimilarThe subject device usesthe same anatomicalrange "HeadOrbitomeatal" of thereference device.For both subject andpredicate device, thefundamental technologyis the same but differentlandmarks are used dueto different anatomy. |
| BoneSegmentation | Thresholding based skullsegmentation | Rib segmentation bymodel fitting | HU-based thresholdsegmentation in theAnatomy Visualizer | SimilarBoth subject andpredicate devicecomprise a bonesegmentation, but usedifferent well-establishedtechniques |
| Output ImageТуре | Curved MIP Ranges | Curved CPR Ranges | Various types, includingcurved ranges and MIPranges | ComparableFor both subject andpredicate device, theoutput image types arecommonly used imagerepresentations for 3D CTdata |
| AdditionalFunctionality | Picking on 2D view withautomaticsynchronization of 3Dviews | Picking on 2D view withautomaticsynchronization of 3Dviews | Various functionality forviewing, manipulation,communication, andstorage of medicalimages | SameSubject and predicatedevice both providepicking andsynchronizationfunctionality |
| Features | Subject Device | Predicate Device | Reference Device | Summary |
| Siemenssyngo.CT Skull Unfolding | Siemenssyngo.CT Bone Reading | Siemenssyngo.via VB40 | ||
| MeasurementTools | Non-measurement tools(e.g. marker, arrow) | Geometric tools, HUmeasurement tools, non-measurement tools (e.g.marker, arrow) | Geometric tools, HUmeasurement tools, non-measurement tools (e.g.marker, arrow) | SimilarThe subject deviceprovides a subset of toolsof the predicate deviceand the reference device. |
| Editing andCreation Tools | N/A | Tools to create and editanatomical centerlinepaths and anatomicallabels | Tools to create and editanatomical centerlinepaths and anatomicallabels | DifferentThe subject deviceprovides no editing andcreation tools as no labelsand centerlines arecreated. |
| Intended User | Qualified clinicians | Qualified clinicians | Qualified clinicians | Same |
| Radiologicalimages format | DICOM | DICOM | DICOM | Same |
| Independent ofstandard of careworkflow | Yes; Advancedvisualization in additionto standard images | Yes; Advancedvisualization in additionto standard images | N/A | Same |
| Modality | Non-contrast CT | Non-contrast CT | Multi-modal, e.g. CT, MR | SameSubject and predicatedevice work on non-contrast CT images |
| Archiving/Storing | CD-R, film, DVD, USB,Network | CD-R, film, DVD, USB,Network | CD-R, film, DVD, USB,Network | Same |
| Communication | DICOM compatible | DICOM compatible | DICOM compatible | Same |
{6}------------------------------------------------
IFU Comparison
The subsection provides a comparison discussion of the IFU statement for the subject device and predicate device.
| Subject Device | Predicate Device |
|---|---|
| Siemenssyngo.CT Skull Unfolding | Siemenssyngo.CT Bone Reading |
| syngo.CT Skull Unfolding provides curved MIP images ofskull and brain surface for visual assessment by aradiologist. | The syngo.CT Bone Reading is image analysis software forCT volume data sets which has been continuously acquiredwith computed tomography (CT) imaging systems. Thesoftware combines following digital image processing andvisualization tools:multiplanar reconstruction (MPR) thin/thick, maximumintensity projection (MIP) thin/thick, inverted MIPthin/thick, volume rendering technique (VRT) geometric measurement tools (distance line, polyline,marker, arrow, angle) HU measurement tools (Pixel lens, ROI circle, ROIpolygonal, ROI freehand, VOI sphere) curved MPR visualization (unfolded ribs and spineviews), cross-section MPRs |
{7}------------------------------------------------
| 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. | |
|---|---|
| -- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
The IFU statement of the subject device is not identical as compared to the predicate device, but similar. The predicate device used for this submission is syngo.CT Bone Reading (K123584, clearance date 03/12/2013).
Both devices provide technology to unfold bones. The main difference is that the predicate device is designed for unfolding spine and rib structures and the subject device for the skull.
The subject device represents a visualization method. Despite addressing a different anatomical region, the subject device's IFU can be considered as a subset of the predicate device's IFU. The differences are not critical to the intended use:
- Visualization techniques: Besides showing the unfolded ribs/spine in curved MPR format, the predicate device provides different filtering techniques for visualization of the input CT dataset ("multiplanar reconstruction (MPR) thin/thick, maximum intensity projection (MIP) thin/thick, inverted MIP thin/thick, volume rendering technique (VRT)"). These possibilities are not unique to the predicate device, but are offered by many standard diagnostic viewing systems (e.g. syngo.via (K191040)). In comparison, the subject device only provides a single visualization technique for the skull and brain surface (curved MIP). However, the user can use a standard diagnostic viewing system to also apply different visualization techniques to the input CT datasets.
- . Measurement tools: The predicate device IFU lists geometric and HU measurement tools. Due to the distortions in the subject device, linear measurement tools (e.g. distance line, angle) cannot be used. The subject device enables the use of non-measurement tools (e.g. marker, arrow), but they are not listed within the IFU.
- . Tools for creation and editing: The predicate device offers tools to create and edit anatomical centerline paths and anatomical labels. This possibility is specific for the anatomical regions of predicate device (i.e. for spine and ribs) and is not required, and therefore not offered, for the subject device (i.e. skull and brain surface).
Conclusion of the Comparison
To summarize, the IFU differences in the technological characteristics do not affect the subject device's intended use. For the subject device, syngo.CT Skull Unfolding, Siemens used the same testing methods with same workflows as used to clear the predicate device. The development and testing process remain unchanged. Siemens considers syngo.CT Skull Unfolding to be as safe, as effective and with performance substantially equivalent to the commercially available predicate device.
In addition, completion of risk/hazard analysis, non-clinical data-based software validation supports that the used technology in the subject device does not raise different questions of safety and effectiveness.
{8}------------------------------------------------
VII. Performance Data
The following performance data were provided in support of the substantial equivalence determination.
Non-Clinical Testing
This submission contains performance tests (Non-clinical test reports) to demonstrate continued conformance with special controls for medical devices containing software. Non-clinical tests (integration and functional) were conducted for syngo.CT Skull Unfolding during product development. These tests have been performed to test the ability of the included features of the subject device. The results of these tests demonstrate that the subject device performs as intended. The result of all conducted testing was found acceptable to support the claim of substantial equivalence.
Risk Analysis
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 of the device was found acceptable to support the claims of substantial equivalence.
Standards and utilized FDA Guidances
Siemens hereby certifies that syngo.CT Skull Unfolding will meet the following voluntary standards covering electrical and mechanical safety listed below, prior to introduction into interstate commerce:
| RecognitionNumber | ProductArea | Title of Standard | Date ofRecognition | StandardsDevelopmentOrganization |
|---|---|---|---|---|
| 12-300 | Radiology | Digital Imaging and Communications inMedicine (DICOM) Set; PS 3.1 – 3.20 | 06/27/2016 | NEMA |
| 13-79 | Software | Medical Device Software - Software LifeCycle Processes; 62304:2006 (1st Edition) | 01/14/2019 | AAMI, ANSI, IEC |
| 5-40 | Software/Informatics | Medical devices – Application of riskmanagement to medical devices; 14971Second Edition 2007-03-01 | 06/27/2016 | ISO |
| 5-114 | General I(QS/RM) | Medical devices - Part 1: Application ofusability engineering to medical devicesIEC 62366-1:2015 | 12/23/2016 | IEC |
For the development of the product as well as the 510(k) submission, the following FDA guidances has been considered:
- Content of Premarket Submissions for Management of Cybersecurity in Medical Devices
- . Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices
- The 510(k) Program: Evaluating Substantial Equivalence in Premarket Notifications [510(k)]
- Deciding When to Submit a 510(k) for a Software Change to an Existing Device
- Format for Traditional and Abbreviated 510(k)s
{9}------------------------------------------------
VIII. Conclusion
syngo.CT Skull Unfolding has the same intended use and similar indication for use as the predicate device. The result of all testing conducted was found acceptable to support the claim of substantial equivalence. The comparison of technological characteristics, non-clinical performance data, and software validation demonstrates that the subject device is as safe and effective when compared to the predicate device that is currently marketed for the same intended use. For the subject device, syngo.CT Skull Unfolding, Siemens used the same testing with the same workflows as used to clear the predicate device. Siemens considers syngo.CT Skull Unfolding to be as safe, as effective and with performance substantially equivalent to the commercially available predicate device.
§ 892.1750 Computed tomography x-ray system.
(a)
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.(b)
Classification. Class II.