K191468 · Siemens Medical Solutions USA, Inc. · JAK · Jul 3, 2019 · Radiology
Device Facts
Record ID
K191468
Device Name
syngo.CT Dual Energy
Applicant
Siemens Medical Solutions USA, Inc.
Product Code
JAK · Radiology
Decision Date
Jul 3, 2019
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.1750
Device Class
Class 2
Attributes
Software as a Medical Device, Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K191468 · Jul 3, 2019
syngo.CT Dual Energy
Siemens Medical Solutions USA, Inc.
Retrospective clinical study cohorts; Published clinical literature
Retrospective clinical studies and supportive literature were used to validate the performance and usability of specific Dual Energy application classes (Monoenergetic Plus, Bone Removal, Liver VNC, Hard Plaques) and to demonstrate substantial equivalence to predicate devices.
Retrospective clinical validation; Clinical literature review; Performance validation
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective clinical validation studies; Retrospective clinical study
Clinical patients undergoing CT imaging
Predicate device application classes
Performance and functionality of application classes (Monoenergetic Plus, Bone Removal, Liver VNC, Hard Plaques)
Supportive literature review; Literature review
Clinical patients
Not applicable for this study
Usability of application classes
Indications for Use
syngo.CT Dual Energy is designed to operate with CT images based on two different X-ray spectra. The various materials of an anatomical region of interent attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials, syngo.CT Dual Energy combines images acquired with low and high energy spectra to visualize this information. Depending on the region of interest, contrast agents may be used. The general functionality of the syngo.CT Dual Energy application is as follows: - Monoenergetic - Brain Hemorrhage - Gout Evaluation - Lung Vessels - Heart PBV - Bone Removal - Lung Perfusion - Liver VNC - Monenergetic Plus - Virtual Unenhanced - Bone Marrow - Hard Plaques - Rho/Z - Kidney Stones* - SPR (Stopping Power Ratio) - SPP (Spectral Post-Processing Format) The availability of each feature is depending on the Dual Energy scan mode. *)Kidney Stones is designed to support the visualization of the chemical composition of kidney stones and especially the differentiation between uric acid and non-uric acid stones. For full identification of the kidney stone additional information should be considered such as patient history and urine testing. Only a well-trained radiologist can make the final diagnosis under consideration of all available information. The accuracy of identification is decreased in obese patients.
Device Story
Post-processing software application for CT imaging; operates on syngo.via client/server platform. Inputs: CT datasets acquired with dual-energy spectra (Dual Source, Dual Energy Single Source, or Twin Beam scanners). Transforms inputs via application-specific algorithms (e.g., Monoenergetic, Bone Removal, Kidney Stones, Rho/Z) to visualize material-specific attenuation differences. Outputs: processed images (MPR, MIP, VRT, fused/tinted VRT) and quantitative data (e.g., Stopping Power Ratio, Spectral Post-Processing format). Used by radiologists in clinical settings to assist in tissue characterization, lesion assessment, and clinical decision-making. Enhances diagnostic confidence by providing material-specific information not available in single-energy CT. Workflow improvements include Rapid Results Technology for automated archiving and integration with other workflows.
Clinical Evidence
Bench testing (phantom-based) validated SPR and SPP features, confirming accurate reproduction of theoretical values and correct processing. Retrospective clinical studies validated performance for application classes: Monoenergetic Plus, Bone Removal, Liver VNC, Hard Plaques, Rho/Z, and Kidney Stones. Results demonstrated performance equivalent to predicate device applications. Supportive literature provided for clinical usability.
Technological Characteristics
Post-processing software application; runs on syngo.via client/server platform. Connectivity: DICOM compliant. Standards: IEC 62304 (software lifecycle), ISO 14971 (risk management), IEC 62366-1 (usability). Algorithms: Rule-based and spectral post-processing modules for material decomposition and quantification. Deployment: Client/server architecture.
Indications for Use
Indicated for use with CT images based on two different X-ray spectra to visualize chemical composition of body materials. Includes specific clinical applications: Monoenergetic, Brain Hemorrhage, Gout Evaluation, Lung Vessels, Heart PBV, Bone Removal, Lung Perfusion, Liver VNC, Monoenergetic Plus, Virtual Unenhanced, Bone Marrow, Hard Plaques, Rho/Z, Kidney Stones, SPR, and SPP. Kidney Stones feature aids differentiation of uric acid vs non-uric acid stones; accuracy decreased in obese patients. Requires radiologist diagnosis using patient history and urine testing.
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.
syngo.CT Single Source Dual Energy (twin beam) (K163289)
Submission Summary (Full Text)
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Siemens Medical Solutions, USA, Inc. % Ms. Cynthia Busch Regulatory Affairs Specialist 2501 N. Barrington Road HOFFMAN ESTATES, IL 60192
Re: K191468
Trade/Device Name: syngo.CT Dual Energy Regulation Number: 21 CFR 892.1750 Regulation Name: Computed tomography x-ray system Regulatory Class: Class II Product Code: JAK Dated: May 29, 2019 Received: June 3, 2019
Dear Ms. Busch:
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 3, 2019
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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. Division 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
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# Indications for Use
510(k) Number (if known) K191468
Device Name syngo.CT Dual Energy
### Indications for Use (Describe)
syngo.CT Dual Energy is designed to operate with CT images based on two different X-ray spectra.
The various materials of an anatomical region of interent attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials, syngo.CT Dual Energy combines images acquired with low and high energy spectra to visualize this information. Depending on the region of interest, contrast agents may be used.
The general functionality of the syngo.CT Dual Energy application is as follows:
- · Monoenergetic
- · Brain Hemorrhage
- Gout Evaluation
- Lung Vessels
- · Heart PBV
- · Bone Removal
- · Lung Perfusion
- · Liver VNC
- · Monenergetic Plus
- Virtual Unenhanced
- · Bone Marrow
- · Hard Plaques
- Rho/Z
- · Kidney Stones*
- · SPR (Stopping Power Ratio)
- · SPP (Spectral Post-Processing Format)
The availability of each feature is depending on the Dual Energy scan mode.
*)Kidney Stones is designed to support the visualization of the chemical composition of kidney stones and especially the differentiation between uric acid and non-uric acid stones. For full identification of the kidney stone additional information should be considered such as patient history and urine testing. Only a well-trained radiologist can make the final diagnosis under consideration of all available information. The accuracy of identification is decreased in obese patients.
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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Image /page/4/Picture/0 description: The image shows the Siemens Healthineers logo. The word "SIEMENS" is written in teal, and the word "Healthineers" is written in orange below it. To the right of the text is a graphic of orange dots arranged in a circular pattern.
## 510(K) SUMMARY FOR SYNGO.CT DUAL ENERGY
as required by 21 CFR Part 807.87(h)
K191468
## I. Identification of the Submitter
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:
Cynthia Busch Regulatory Affairs Specialist 2501 North Barrington Road Hoffman Estates, IL 60192-2061 Phone: (847) 643-6818 Email: cynthia.busch(@siemens-healthineers.com
#### Alternate Contact Person:
Alaine Medio Regulatory Project Manager 810 Innovation Drive Knoxville, TN 37932 Phone: (865) 206-0337 Email: alaine.medio@siemens-healthineers.com
Date of Submission : May 29, 2019
### II. Device Name and Classification
Product Name: syngo.CT Dual Energy Propriety Trade Name: syngo.CT Dual Energy Classification Name: Computed Tomography X-ray System Classification Panel: Radiology 21 CFR §892.1750 CFR Section: Device Class: Class II Product Code: 90 JAK
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e
## III. Predicate Device
#### Primary Predicate Device:
| Trade Name: | syngo.CT Dual Energy |
|-----------------------|--------------------------------------------|
| 510(k) Number: | K150757 |
| Clearance Date: | 08/11/2015 |
| Classification Name: | Computed Tomography X-ray System |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR § 892.1750 |
| Device Class: | Class II |
| Product Code: | 90 JAK |
| Recall: | There have been no recalls for this device |
### Reference Predicate Device:
| Trade Name: | syngo.CT Single Source Dual Energy |
|-----------------------|--------------------------------------------|
| 510(k) Number: | K150745 |
| Clearance Date: | 08/11/2015 |
| Classification Name: | Computed Tomography X-ray System |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.1750 |
| Device Class: | Class II |
| Product Code: | 90 JAK |
| Recall: | There have been no recalls for this device |
#### Reference Predicate Device:
| Trade Name: | syngo.CT Single Source Dual Energy (twin beam |
|-----------------------|-----------------------------------------------|
| 510(k) Number: | K163289 |
| Clearance Date: | 02/09/2017 |
| Classification Name: | Computed Tomography X-ray System |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR § 892.1750 |
| Device Class: | Class II |
| Product Code: | 90 JAK |
| Recall: | There have been no recalls for this device |
#### IV. Device Description
Dual energy offers functions for qualitative and quantitative post-processing evaluations. Dual energy CT can be used to improve the visualization of the chemical composition of various materials in the human body when compared to single energy CT. Depending on the organ of interest, the user can select and modify different application classes or parameters and algorithms.
syngo.CT Dual Energy is a post-processing application consisting of several postprocessing application classes that can be used to improve visualization of various energy dependent materials in the human body. This software application is designed to operate on the most recent version syngo.via client/server platform, which supports preprocessing and loading of datasets by syngo.via depending on configurable rules.
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Image /page/6/Picture/0 description: The image shows the logo for Siemens Healthineers. The word "SIEMENS" is written in teal, and the word "Healthineers" is written in orange below it. To the right of the words is a graphic of orange dots arranged in a pattern.
- 1. Monoenergetic
- 2. Brain Hemorrhage
- Gout Evaluation 3.
- 4. Lung Vessels
- 5. Heart PBV
- Bone Removal 6.
- 7. Lung Perfusion
- 8. Liver VNC
- 9. Monoenergetic Plus
- 10. Virtual Unenhanced
- 11. Bone Marrow
- 12. Hard Plaques
- 13. Rho/Z
- 14. Kidney Stones
- 15. SPR (Stopping Power Ratio)
- 16. SPP (Spectral Post-Processing format)
These application classes are designed for specific clinical tasks, so that algorithms, additional tool buttons, the use of colored overlay images and image representation (for example MPR or maximum intensity projection) is optimized correspondingly.
### Modifications
syngo.CT Dual Energy modifications with software version SOMARIS/8 VB40 are as follows:
- 1. The merge of the three already cleared post-processing Dual Energy applications into one application called syngo.CT Dual Energy:
- syngo.CT Dual Energy (e.g. K150757, clearance date 08/11/2015), o
- syngo.CT Single Source Dual Energy (e.g. K150745, clearance date o 08/11/2015)
- syngo.CT Single Source Dual Energy (twin beam) (e.g. K163289, O clearance date 02/09/2017)
- 2. Update of the Indications for Use statement because of the aforementioned combination
- 3. Enhancement to image output and alternate image format:
- SPP (Stopping Power Ratio) O
- SPR (Spectral Post-Processing Format) ೧
- 4. Workflow Improvements:
- Provide Dual Energy results with Rapid Results Technology for other o Workflows.
- Provide Dual Energy results as input for other rapid results technology O types.
## V. Indications for Use
syngo.CT Dual Energy is designed to operate with CT images based on two different X-ray spectra.
The various materials of an anatomical region of interest have different attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials. syngo.CT Dual Energy combines images acquired with low and high energy spectra to visualize this information. Depending on the region of interest, contrast agents may be used.
The general functionality of the syngo.CT Dual Energy application is as follows:
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Image /page/7/Picture/0 description: The image contains the logo for Siemens Healthineers. The word "SIEMENS" is written in teal, and the word "Healthineers" is written in orange below it. To the right of the words is a graphic of orange dots arranged in a circular pattern.
- 1. Monoenergetic
- 2. Brain Hemorrhage
- Gout Evaluation 3.
- Lung Vessels 4.
- Heart PBV 5.
- 6. Bone Removal
- 7. Lung Perfusion
- 8. Liver VNC
- 9. Monoenergetic Plus
- 10. Virtual Unenhanced
- 11. Bone Marrow
- 12. Hard Plaques
- 13. Rho/Z
- 14. Kidney Stones*
- 15. SPR (Stopping Power Ratio)
- 16. SPP (Spectral Post-Processing Format)
The availability of each feature is depending on the Dual Energy scan mode.
*) Kidney Stones is designed to support the visualization of the chemical composition of kidney stones and especially the differentiation between uric acid and non-uric acid stones. For full identification of the kidney stone additional clinical information should be considered such as patient history and urine testing. Only a well-trained radiologist can make the final diagnosis under consideration of all available information. The accuracy of identification is decreased in obese patients.
## VI. Comparison of Technological Characteristics with the Predicate Device
syngo.CT Dual Energy is a post-processing application operating on the multi-user syngo.via client/server platform. The subject syngo.CT Dual Energy provides the same evaluation, reporting and visualization tools, and functionality as the predicate devices. This includes image processing and visualization tools such as basic visualization of various energy dependent materials in the human body and VRT visualization.
The differences between the above referenced predicate devices are described at a high-level in the next table below:
| | Subject Device | Primary<br>Predicate<br>Device | Reference<br>Predicate<br>Device | Reference<br>Predicate<br>Device | |
|----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Feature | Siemens<br>syngo, CT Dual<br>Energy | Siemens<br>syngo.CT Dual<br>Energy<br>(K150757) | Siemens<br>syngo.CT<br>Single Source<br>Dual Energy<br>(K150745) | Siemens<br>syngo.CT<br>Single Source<br>Dual Energy<br>(twin beam)<br>(K163289) | Comparison<br>Results |
| Input Data | | | | | |
| Feature | Subject Device<br>Siemens<br>syngo,CT Dual<br>Energy | Primary<br>Predicate<br>Device<br>Siemens<br>syngo.CT Dual<br>Energy<br>(K150757) | Reference<br>Predicate<br>Device<br>Siemens<br>syngo.CT<br>Single Source<br>Dual Energy<br>(K150745) | Reference<br>Predicate<br>Device<br>Siemens<br>syngo.CT<br>Single Source<br>Dual Energy<br>(twin beam)<br>(K163289) | Comparison<br>Results |
| Data<br>Acquisition<br>Mode | The subject<br>device unifies<br>all three data<br>acquisition<br>modes<br>acquiring<br>images from<br>Dual Source<br>scanners, Dual<br>Energy Single<br>Source, and<br>Twin Beam<br>scanners. | The software<br>analyzes Dual<br>Source Dual<br>Energy images<br>acquired with<br>Dual Source<br>scanners. | The software<br>analyzes Dual<br>Spiral Dual<br>Energy images<br>acquired with<br>Dual Spiral<br>Single Source<br>scanners. | The software<br>analyzes Twin<br>Beam Dual<br>Energy images<br>acquired with<br>Twin Beam<br>Single Source<br>scanners. | Equivalent<br>The subject<br>device data<br>acquisition<br>mode supports<br>all acquisition<br>modes of the<br>three<br>predicates:<br>single source<br>and dual<br>source<br>scanner image<br>acquisitions. |
| Image<br>Processing<br>and<br>Evaluation | MPR, MIP,<br>VRT, thick<br>MPR, thin MIP,<br>fused VRT,<br>tinted VRT | MPR, MIP,<br>VRT, thick<br>MPR, thin MIP,<br>fused VRT,<br>tinted VRT | MPR, MIP,<br>VRT, thick<br>MPR, thin MIP,<br>fused VRT,<br>tinted VRT | MPR, MIP,<br>VRT, thick<br>MPR, thin MIP,<br>fused VRT,<br>tinted VRT | Same |
| Provide<br>Dual<br>Energy<br>results also<br>as input for<br>other<br>Rapid<br>Results<br>Technology<br>types | Dual Energy<br>result images<br>generated with<br>Rapid Results<br>Technology can<br>be used as input<br>for other types<br>of Rapid<br>Results<br>Technology<br>(e.g. organ<br>ranges). | The output<br>images from all<br>Dual Energy<br>application<br>classes can<br>manually be<br>processed on<br>syngo.via with<br>the available<br>platform tools<br>(e.g. organ<br>ranges). | The output<br>images from all<br>Dual Energy<br>application<br>classes can<br>manually be<br>processed on<br>syngo.via with<br>the available<br>platform tools<br>(e.g. organ<br>ranges). | The output<br>images from all<br>Dual Energy<br>application<br>classes can<br>manually be<br>processed on<br>syngo.via with<br>the available<br>platform tools<br>(e.g. organ<br>ranges). | Extended<br>The subject<br>device<br>improves<br>workflow but<br>does not<br>change the<br>results that<br>can be<br>generated. |
| Provide<br>Dual<br>Energy<br>results with<br>Rapid<br>Results<br>Technology<br>also for<br>other<br>Workflows. | The generation<br>of Dual Energy<br>automatic<br>archiving<br>ranges is<br>separated from<br>the Dual Energy<br>application and<br>can be obtained<br>for any<br>syngo.via<br>workflow. | The generation<br>of Dual Energy<br>automatic<br>archiving<br>ranges is only<br>possible within<br>the Dual Energy<br>workflow. | The generation<br>of Dual Energy<br>automatic<br>archiving<br>ranges is only<br>possible within<br>the Dual Energy<br>workflow. | The generation<br>of Dual Energy<br>automatic<br>archiving<br>ranges is only<br>possible within<br>the Dual Energy<br>workflow. | Extended<br>The subject<br>device<br>improves<br>workflow but<br>does not<br>change the<br>results that<br>can be<br>generated. |
| | Subject Device | Primary<br>Predicate<br>Device | Reference<br>Predicate<br>Device | Reference<br>Predicate<br>Device | |
| Feature | Siemens<br>syngo,CT Dual<br>Energy | Siemens<br>syngo.CT Dual<br>Energy<br>(K150757) | Siemens<br>syngo.CT<br>Single Source<br>Dual Energy<br>(K150745) | Siemens<br>syngo.CT<br>Single Source<br>Dual Energy<br>(twin beam)<br>(K163289) | Comparison<br>Results |
| SPR<br>(Stopping<br>Power<br>Ratio) | The Rapid<br>Result<br>Technology<br>output type SPR<br>allows for the<br>calculation of<br>stopping power<br>images, which<br>show the<br>expected energy<br>loss of protons<br>in the material<br>at each voxel<br>position. | The application<br>class Rho/Z<br>provides all the<br>necessary<br>information that<br>enables simple<br>calculation of<br>SPR-images.<br>These images<br>can be<br>calculated<br>offline by<br>starting from<br>Rho-images and<br>applying a very<br>small correction<br>based on Z. | The application<br>class Rho/Z<br>provides all the<br>necessary<br>information that<br>enables simple<br>calculation of<br>SPR-images.<br>These images<br>can be<br>calculated<br>offline by<br>starting from<br>Rho-images and<br>applying a very<br>small correction<br>based on Z. | N/A – not<br>supported by a<br>TwinBeam<br>scan. | Extended<br>The subject<br>device merges<br>the output<br>images of an<br>already<br>cleared<br>algorithm in a<br>simple way. |
| SPP<br>(Spectral<br>Post-<br>Processing<br>Format) | syngo.CT Dual<br>Energy uses<br>low/high energy<br>images for all<br>calculations.<br>Together with<br>intermediate<br>processing<br>results these<br>images can be<br>stored in SPP<br>images and also<br>extracted from<br>them. | syngo.CT Dual<br>Energy uses<br>low/high energy<br>images for all<br>calculations.<br>Intermediate<br>processing<br>results are<br>stored as<br>separate series<br>in the database. | syngo.CT Dual<br>Energy uses<br>low/high energy<br>images for all<br>calculations.<br>Intermediate<br>processing<br>results are<br>stored as<br>separate series<br>in the database. | syngo.CT Dual<br>Energy uses<br>low/high energy<br>images for all<br>calculations.<br>Intermediate<br>processing<br>results are<br>stored as<br>separate series<br>in the database. | Similar<br>An alternative<br>image format<br>is introduced.<br>which<br>contains the<br>same<br>information as<br>images series<br>that were<br>previously<br>available. |
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The subject device syngo.CT Dual Energy does not have changes in fundamental scientific technology compared to the predicate devices. The post-processing software functionality remains unchanged from the subject device and the predicate devices. The operating principle and the scientific technology are same; therefore, Siemens believes that syngo.CT Dual Energy application is substantially equivalent to the predicate devices.
## VII. Performance Data
### Software Verification and Validation Testing
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 also included as part of this submission.
### Non-Clinical / Clinical Testing Summary
syngo.CT Dual Energy is designed to fulfill the requirements of the following safety and performance standards:
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Image /page/10/Picture/0 description: The image shows the Siemens Healthineers logo. The word "SIEMENS" is in teal, and the word "Healthineers" is in orange. To the right of the words is a graphic of orange dots arranged in a circular pattern.
| Recognition<br>Number | Product<br>Area | Title of Standard | Publication<br>Date | Standards<br>Development<br>Organization |
|-----------------------|--------------------------|------------------------------------------------------------------------------------------------------------|---------------------|------------------------------------------|
| 12-300 | Radiology | Digital Imaging and Communications in<br>Medicine (DICOM) Set; PS 3.1 – 3.20 | 06/27/2016 | NEMA |
| 13-32 | Software | Medical Device Software -Software Life<br>Cycle Processes; 62304:2006 (1st Edition) | 08/20/2012 | AAMI, ANSI,<br>IEC |
| 5-40 | Software/<br>Informatics | Medical devices – Application of risk<br>management to medical devices; 14971<br>Second Edition 2007-03-01 | 08/20/2012 | ISO |
| 5-95 | General I<br>(QS/RM) | Medical devices - Part 1: Application of<br>usability engineering to medical devices<br>IEC 62366-1:2015 | 06/27/2016 | IEC |
Performance tests were conducted to test the functionality of the syngo.CT Dual Energy post-processing application. A phantom-based validation has been conducted to show that both features SPR (Stopping Power Ratio) and SPP (Spectral Post-Processing Format) operate as intended.
For SPR, the report shows that the SPR feature can reproduce the theoretical SPR values of the phantom inserts used from Dual Energy CT scans. The evaluation is described and validated in the report "Detailed Description of the DE application "DirectSPR" as part of the medical product "Syngo.CT Dual Energy", Version VB40".
Regarding the SPP evaluation, the combination of the SPP-generation process produces equivalent results to the reference method based on functionality available in the predicate device(s). This means also that the information in the SPP-format (including all hidden data) was correctly calculated. Hence, two new modules introduced to support the new SPP data format, "SPP Generation Unit" and "ISI Preparation Unit", which are part of syngo.CT Dual Energy are working as specified. The evaluation is described and evaluated in the report "Detailed Description and Bench Tests for the Feature "SPP/ISI"".
Furthermore, phantom bench testing and clinical validation in a retrospective study was conducted to test the functionality of the remaining application classes Rho/Z and Kidney Stones. Retrospective clinically validated studies were conducted to test the performance for applications classes Monoenergetic Plus, Bone Removal, Liver VNC, and Hard Plaques, as well as the predicate device application classes. These studies demonstrate that the subject device performs as well as the predicate device applications that were tested using the same methods. Supportive articles that demonstrate the usability of the application classes are provided to support device performance and functionality.
Non-clinical tests and clinical validation have been conducted to establish the proficiency of the 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.
#### 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, mechanical, and radiation hazards, Siemens adheres to recognized and established industry practice and standards.
{11}------------------------------------------------
## VIII. Conclusions
syngo.CT Dual Energy has the same intended use and similar indication for use as the predicate devices. The technological characteristics such as image visualization, operating platform, and image manipulation are the same as the predicate devices. 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 devices that are currently marketed for the same intended use. For the subject device, syngo.CT Dual Energy, Siemens used the same testing with the same workflows as used to clear the primary predicate device. Siemens considers syngo.CT Dual Energy to be as safe, as effective, and with performance substantially equivalent to the commercially available predicate devices.
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Learn the FDA Browser
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.