K Number
K250370
Date Cleared
2025-05-20

(99 days)

Product Code
Regulation Number
892.1750
Reference & Predicate Devices
Predicate For
N/A
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The SCENARIA View system is indicated to acquire axial volumes of the whole body including the head. Images can be acquired in axial, helical, or dynamic modes. The SCENARIA View system can also be used for interventional needle guidance. Volume datasets acquired by a SCENARIA View system can be post-processed in the SCENARIA View system to provide additional information. Post-processing capabilities of the SCENARIA View software include multi-planar reconstruction (MPR), and volume rendering. Volume datasets acquired by a SCENARIA View system can be transferred to external devices via a DICOM standard interface.

The Low Dose CT Lung Cancer Screening Option for the SCENARIA View system is indicated for using low dose CT for lung cancer screening. The screening must be conducted with the established program criteria and protocols that have been approved and published by a governmental body, a professional medical society, and/or FUJIFILM Corporation.

The SCENARIA View system is intended for general populations.

Device Description

The subject device SCENARIA View is a multi-slice CT system consists of a gantry, operator's workstation, patient table, high-frequency X-ray generator, and accessories. The system performance is similar to the predicate device.

The SCENARIA View system uses 128-slice CT technology, where the X-ray tube and detector assemblies are mounted on a frame that rotates continuously around the patient using slip ring technology. The solid-state detector assembly design collects up to 64 slices of data simultaneously. The X-ray sub-system features a high frequency generator, X-ray tube, and collimation system that produces a fan beam X-ray output. The system can operate in a helical (spiral) scan mode where the patient table moves during scanning. As the X-ray tube/detector assembly rotates around the patient, data is collected at multiple angles.

The collected data is then reconstructed into cross-sectional images by a high-speed reconstruction sub-system. The images are displayed on a Computer Workstation, stored, printed, and archived as required. The workstation is based on current PC technology using the Windows™ operating system.

Compared to the predicate device referenced within this submission, the subject devices support the following modifications:

  1. New features
  • AutoPose is an AI-based function that recognizes a specific body part in an image of localization scan and then automatically sets the scan range and the image reconstruction range.
  • RemoteRecon is a function of setting image reconstruction parameters that runs on the external personal computer (hereinafter referred to as "PC") connected to the CT system.
  1. Modified features
  • The maximum load capacity of patient table type has been increased from 250kg to 300 kg.
  • Motion corrected reconstruction is an image reconstruction feature that reduces motion artifacts. The feature has been modified to include applicability for chest examinations, which is a non-gated scan.
  • AutoPositioning is a feature that assist in positioning the patient by camera images. The feature has been modified to include additional 12 body parts (Head and Neck, Neck, C-spine, Heart, Chest-Abdomen, Chest-Upper Abdomen, Abdomen-Pelvis, Abdomen, Pelvis, T-spine, L-spine, T-L-spine), in addition to the 2 body parts (Head, Chest) of the predicate device, with scanogram ranges displayed according to the selected protocol.
AI/ML Overview

The provided FDA 510(k) Clearance Letter for SCENARIA View Phase 5.0 primarily focuses on demonstrating substantial equivalence to a predicate device (SCENARIA View 4.2). The document outlines non-clinical and some clinical tests, but it does not present a formal "acceptance criteria" table with specific quantitative metrics for the device performance of the new AI features (AutoPose, Body Still Shot) in the same way one might find for a novel AI/CADe device.

The "acceptance criteria" for this submission appear to be centered around workflow improvement and sufficient image quality when compared to manual or predicate methods, rather than hard quantitative performance targets. The study designs are more akin to usability studies and qualitative image reviews.

Here's an attempt to extract and interpret the information based on your requested structure, acknowledging the limitations of the provided text in terms of explicit acceptance criteria and standalone performance metrics for the AI components.


Acceptance Criteria and Device Performance for SCENARIA View Phase 5.0 (AI Components)

The provided document describes the acceptance criteria and study results for the new features AutoPose and Body Still Shot introduced in the SCENARIA View Phase 5.0 system. The acceptance criteria are largely qualitative, focusing on workflow improvement and sufficient image quality.

1. Table of Acceptance Criteria and Reported Device Performance

Feature/MetricAcceptance Criteria (Implied)Reported Device Performance
AutoPoseReduce the number of steps in the scan range setting procedure compared to conventional manual operation.All evaluated cases (across all regions) showed a reduction in the number of steps compared to manual scan range setting. Max manual adjustment steps (if needed) remained equivalent.
Body Still ShotAble to obtain images of sufficient quality with reduced motion artifacts.Images reconstructed with and without Body Still Shot were reviewed, and the function was evaluated to be able to obtain images of sufficient quality. (No specific quantitative metric for "sufficient quality" is provided, implying qualitative assessment).

Note on "Acceptance Criteria": The document does not explicitly list quantitative acceptance criteria in a table format for the AI features. The criteria listed above are inferred from the Methods and Results sections of the non-clinical and clinical tests described. The primary goal was to demonstrate workflow efficiency (AutoPose) and qualitative image improvement (Body Still Shot).

2. Sample Sizes and Data Provenance

  • AutoPose (Clinical Test):

    • Total Cases: 50 (Head), 50 (Neck), 52 (Chest), 54 (Heart), 52 (Abdomen), 52 (Abdomen-Pelvis), 50 (Chest-Abdomen), 24 (T-L-Spine), 50 (C-Spine), 50 (T-Spine), 50 (L-Spine).
      • Note: The table layout in the original document makes it unclear if Chest-Upper Abdomen had cases listed, but it's empty. Assuming 50 for Chest-Abdomen and 0 for Chest-Upper Abdomen as it's not specified.
    • Total Sum (if all distinct): 50 + 50 + 52 + 54 + 52 + 52 + 50 + 50 + 50 + 50 + 24 = 504 cases.
    • Data Provenance: Clinical sites in the USA.
    • Retrospective/Prospective: Not explicitly stated, but the nature of evaluating steps in a procedure suggests it was likely a prospective workflow evaluation with certified technologists.
  • Body Still Shot (Clinical Test):

    • Total Cases: Not specified.
    • Data Provenance: Not specified (only mentions "Japanese M.D." reviewers).
    • Retrospective/Prospective: Not specified.
  • Training Set Sample Size:

    • Not disclosed in the provided document. The document primarily details the validation/test set.

3. Number of Experts and Qualifications for Ground Truth

  • AutoPose (Clinical Test):

    • Number of Experts: Not explicitly stated how many "certified radiological technologists" performed the evaluations, only that they were certified.
    • Qualifications: "certified radiological technologists." No specific years of experience or other details are provided.
    • Role in Ground Truth: Their assessment of the number of steps and the "expected position" for manual adjustment served as the comparison for AutoPose's performance.
  • Body Still Shot (Clinical Test):

    • Number of Experts: Not explicitly stated how many "Japanese M.D." (Medical Doctors) reviewed the images, only that they were "Japanese M.D."
    • Qualifications: "Japanese M.D." No specific specialty (e.g., radiologist), years of experience, or other details are provided.
    • Role in Ground Truth: Their qualitative review ("evaluated to be able to obtain images of sufficient quality") served as the ground truth for image quality.

4. Adjudication Method for the Test Set

  • AutoPose: Not explicitly stated. The results imply a direct comparison of workflow steps, but it's not mentioned if multiple technologists evaluated the same cases or how discrepancies were handled.
  • Body Still Shot: Not explicitly stated how reviews were conducted if multiple M.D.s were involved (e.g., consensus, majority vote).

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

  • Was it done?: No, a formal MRMC comparative effectiveness study demonstrating how human readers improve with AI vs. without AI assistance was not performed or reported for either AutoPose or Body Still Shot.
  • Effect Size: Not applicable, as no such study was presented. The studies were focused on workflow efficiency (AutoPose) and qualitative image quality (Body Still Shot).

6. Standalone (Algorithm Only) Performance

  • Was it done?: The document does not describe a standalone AI performance study (e.g., precision, recall, F1-score for AutoPose's pose recognition; or a quantitative image quality metric for Body Still Shot). The evaluation of AutoPose was focused on the workflow impact, and Body Still Shot on perceived image quality by human reviewers.

7. Type of Ground Truth Used

  • AutoPose:
    • For Scan Range Setting: The "ground truth" or reference for the AutoPose evaluation was the manual scan range setting process and the expected optimal scan position as determined by certified radiological technologists. The metric was a reduction in the number of workflow steps.
  • Body Still Shot:
    • For Image Quality: The ground truth for image quality was based on the qualitative assessment and review by "Japanese M.D." to determine "sufficient quality." This is essentially expert consensus on image usability.

8. Sample Size for the Training Set

  • The document does not provide information on the sample size used for training the AI models (AutoPose and Body Still Shot).

9. How Ground Truth for the Training Set was Established

  • The document does not provide information on how the ground truth for the training set was established for the AI models.

FDA 510(k) Clearance Letter - SCENARIA View Phase 5.0

Page 1

U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov

Doc ID # 04017.07.05

May 20, 2025

FUJIFILM Corporation
℅ Chaitrali Kulkarni
Sr. Regulatory Affairs Specialist
Fujifilm Healthcare Americas Corporation
81 Hartwell Ave. Suite 300
LEXINGTON, MA 02421

Re: K250370
Trade/Device Name: SCENARIA View Phase 5.0
Regulation Number: 21 CFR 892.1750
Regulation Name: Computed Tomography X-Ray System
Regulatory Class: Class II
Product Code: JAK
Dated: May 7, 2025
Received: May 7, 2025

Dear Chaitrali Kulkarni:

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 (the 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 available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/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.

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K250370 - Chaitrali Kulkarni
Page 2

Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).

Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).

Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.

All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.

Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/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-devices/device-advice-comprehensive-regulatory-

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K250370 - Chaitrali Kulkarni
Page 3

assistance/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,

Lu Jiang

Lu Jiang, Ph.D.
Assistant Director
Diagnostic X-Ray Systems Team
DHT8B: Division of Radiological Imaging
Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health

Enclosure

Page 4

DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration

Form Approved: OMB No. 0910-0120
Expiration Date: 07/31/2026
See PRA Statement below.

Indications for Use

Submission Number (if known)
K250370

Device Name
SCENARIA View Phase 5.0

Indications for Use (Describe)

The SCENARIA View system is indicated to acquire axial volumes of the whole body including the head. Images can be acquired in axial, helical, or dynamic modes. The SCENARIA View system can also be used for interventional needle guidance. Volume datasets acquired by a SCENARIA View system can be post-processed in the SCENARIA View system to provide additional information. Post-processing capabilities of the SCENARIA View software include, multi-planar reconstruction (MPR), and volume rendering. Volume datasets acquired by a SCENARIA View system can be transferred to external devices via a DICOM standard interface. The Low Dose CT Lung Cancer Screening Option for the SCENARIA View system is indicated for using low dose CT for lung cancer screening. The screening must be conducted with the established program criteria and protocols that have been approved and published by a governmental body, a professional medical society, and/or FUJIFILM Corporation.

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
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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."

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510(k) Summary

K250370

Contact Details

Applicant NameFUJIFILM Corporation
Applicant Address26-30, Nishiazabu 2-chome, Minato-ku, Tokyo 106-8620, JAPAN
Applicant Contact Telephone(704)-517-4886
Applicant ContactChaitrali Kulkarni, Senior Regulatory Affairs Specialist
Applicant Contact Emailhcusregulatoryaffairs@fujifilm.com
Applicant DateFebruary 5, 2025

Subject Device Name

Device Trade NameSCENARIA View Phase 5.0
Common NameComputed tomography x-ray system
Classification NameComputed tomography x-ray system
Regulation Number892.1750
Product CodeJAK

Predicate Device Name

Predicate Device Trade NameSCENARIA View 4.2
510(k) NumberK231574
Common NameComputed tomography x-ray system
Classification NameComputed tomography x-ray system
Regulation Number892.1750
Product CodeJAK

Device Description Summary

The subject device SCENARIA View is a multi-slice CT system consists of a gantry, operator's workstation, patient table, high-frequency X-ray generator, and accessories. The system performance is similar to the predicate device.

The SCENARIA View system uses 128-slice CT technology, where the X-ray tube and detector assemblies are mounted on a frame that rotates continuously around the patient using slip ring technology. The solid-state detector assembly design collects up to 64 slices of data simultaneously. The X-ray sub-system features a high frequency generator, X-ray tube, and collimation system that produces a fan beam X-ray output. The system can operate in a helical (spiral) scan mode where the patient table moves during scanning. As the X-ray tube/detector assembly rotates around the patient, data is collected at multiple angles.

The collected data is then reconstructed into cross-sectional images by a high-speed reconstruction sub-system. The images are displayed on a Computer Workstation, stored, printed, and archived as required. The workstation is based on current PC technology using the Windows™ operating system.

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Compared to the predicate device referenced within this submission, the subject devices support the following modifications:

1) New features

  • AutoPose is an AI-based function that recognizes a specific body part in an image of localization scan and then automatically sets the scan range and the image reconstruction range.
  • RemoteRecon is a function of setting image reconstruction parameters that runs on the external personal computer (hereinafter referred to as "PC") connected to the CT system.

2) Modified features

  • The maximum load capacity of patient table type has been increased from 250kg to 300 kg.
  • Motion corrected reconstruction is an image reconstruction feature that reduces motion artifacts. The feature has been modified to include applicability for chest examinations, which is a non-gated scan.
  • AutoPositioning is a feature that assist in positioning the patient by camera images. The feature has been modified to include additional 12 body parts (Head and Neck, Neck, C-spine, Heart, Chest-Abdomen, Chest-Upper Abdomen, Abdomen-Pelvis, Abdomen, Pelvis, T-spine, L-spine, T-L-spine), in addition to the 2 body parts (Head, Chest) of the predicate device, with scanogram ranges displayed according to the selected protocol.

Intended Use/Indications for Use

The SCENARIA View system is indicated to acquire axial volumes of the whole body including the head. Images can be acquired in axial, helical, or dynamic modes. The SCENARIA View system can also be used for interventional needle guidance. Volume datasets acquired by a SCENARIA View system can be post-processed in the SCENARIA View system to provide additional information. Post-processing capabilities of the SCENARIA View software include multi-planar reconstruction (MPR), and volume rendering. Volume datasets acquired by a SCENARIA View system can be transferred to external devices via a DICOM standard interface.

The Low Dose CT Lung Cancer Screening Option for the SCENARIA View system is indicated for using low dose CT for lung cancer screening. The screening must be conducted with the established program criteria and protocols that have been approved and published by a governmental body, a professional medical society, and/or FUJIFILM Corporation.

The SCENARIA View system is intended for general populations.

Indications for Use Comparison

No difference in indications for use.

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Substantial Equivalence

A summary decision is based on a thorough analysis and comparison of the functions, scientific concepts, physical and performance characteristics, performance comparison and technological characteristics.

SystemsSubject DeviceSCENARIA View Phase 5.0Predicate DeviceSCENARIA View 4.2 (K231574)Discussion of Difference
GantryThere are no differences between the two systems.----
DetectorThere are no differences between the two systems.----
X-ray TubeThere are no differences between the two systems.----
X-ray GeneratorThere are no differences between the two systems.----
Patient TableTypes of maximum load capacity:250kg, 300kgTypes of maximum load capacity:250kgDifferent specifications do not constitute a new intended use. There are no significant changes in technological characteristics. For safety, this item is controlled and tested according to same regulations and/or standards as the predicate device.
Operator's consoleThere are no differences between the two systems.----
ScanningThere are no differences between the two systems.----
ReconstructionThere are no differences between the two systems.----
PerformanceThere are no differences between the two systems.----
Dose ControlsThere are no differences between the two systems.----
Dose DisplayThere are no differences between the two systems.----

Features

There are the following differences between the two systems.

FeatureSubject DevicePredicate DeviceNote
AutoPoseYes--Note 1
RemoteReconYes--Note 2
Motion corrected reconstructionSupported body parts:Heart (Cardio Still Shot),Chest (Body Still Shot)Supported body part:Heart (Cardio Still Shot)Note 3
AutoPositioningSupported body parts:Head, Chest, Head and Neck, Neck, C-spine, Heart, Chest-Abdomen, Chest-Upper Abdomen, Abdomen-Pelvis, Abdomen, Pelvis, T-spine, L-spine, T-L-spineSupported body parts:Head, ChestNote 4

Note 1:
AutoPose is an AI-based function that recognizes a specific body part in an image of scanogram and then automatically sets the scan range and the range from which an image is to be created. The difference in the above features and specifications do not constitute a new intended use. There are no significant changes in technological characteristics. For safety, this item is controlled and tested according to same regulations and/or standards as the predicate device.

Note 2:
The existing image reconstruction parameters are set on an external PC, and the execution of image reconstruction is requested to the CT system. The image reconstruction process is not changed. The difference in the above features and specifications do not constitute a new intended use. There are no significant changes in technological characteristics. For safety, this item is controlled and tested

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according to same regulations and/or standards as the predicate device.

Note 3:
As one of the motion correction reconstruction features, body still shot for chest examination has been added. Body still shot is an image reconstruction feature that reduces motion artifacts. The basic algorithm of motion correction reconstruction has not changed, and the support part has been expanded. The difference in the above features and specifications do not constitute a new intended use. There are no significant changes in technological characteristics. For safety, this item is controlled and tested according to same regulations and/or standards as the predicate device.

Note 4:
The basic algorithm of AutoPositioning has not been changed and carry out the necessary verifications (intended use, functionality, safety) and increase the number of support parts. The difference in the above features and specifications do not constitute a new intended use. There are no significant changes in technological characteristics. For safety, this item is controlled and tested according to same regulations and/or standards as the predicate device.

Therefore, based on a thorough analysis and comparison of the functions, scientific concepts, physical and performance characteristics, performance comparison and technological characteristics, the proposed subject device is considered substantially equivalent to the currently marketed predicate device in terms of design features, fundamental scientific technology, indications for use, and safety and effectiveness.

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Non-Clinical Tests Summary

21 CFR 1020.33(c)(g)

We generated bench data based on IEC61223-3-5.

We confirmed that the following items which we tested met the conditions of 21 CFR 1020.33(c) and (g): Spatial Resolution, Noise, Mean CT number and Uniformity, and Tomographic Section Thickness.

There are no changes in the following performance issues: Dose Profile, Sensitivity Profile, Tomographic Plane Location, and CT dose index.

This shows that the subject device has equivalent basic performance as the predicate device.

In addition, the subject device is in conformance with the applicable parts of the following standards:

  • ANSI AAMI ES60601-1:2005/(R)2012 & A1:2012 C1:2009/(R)2012 & A2:2010/(R)2012 (Cons. Text) [Incl. AMD2:2021]
    Medical electrical equipment - Part 1: General requirements for basic safety and essential performance (IEC 60601-1:2005, MOD)

  • IEC 60601-1-2 Edition 4.1
    Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility - Requirements and tests

  • IEC 60601-1-3 Edition 2.2
    Medical electrical equipment - Part 1-3: General requirements for basic safety and essential performance - Collateral Standard: Radiation protection in diagnostic X-ray equipment

  • IEC 60601-2-44 Edition 3.2
    Medical electrical equipment Part 2-44: particular requirements for the basic safety and essential performance of x-ray equipment for computed tomography.

  • IEC 62304 Edition 1.1
    Medical device software - Software life cycle processes

  • NEMA XR 25 Computed Tomography Dose Check

In addition, we performed the following bench tests.

300 kg load capacity patient table

Regarding the increase in load to 300 kg, we conducted standard tests for IEC60601-1 and IEC 60601-2-44, such as stop processing and dynamic loading, and confirmed that they conformed to the standards.

AutoPositioning

Methods
Compare the number of steps in the procedure for moving the patient on the patient table from the lowest position to the scanogram start position to see if the number of steps in the procedure can be reduced by comparing the conventional manual operation with the AutoPositioning operation.

Results
AutoPositioning improves workflow because it reduces the number of steps in the procedure and allows the patient to be moved to the scanogram start position with a single operation.

AutoPositioning is the process for setting up the scanogram, and does not involve diagnostic imaging or diagnostic evaluation, so non-clinical bench testing is appropriate. This testing included evaluation of workflow improvements due to reduced steps identification. All tests met predefined objectives.

Also, AutoPositioning can be fully tested on the engineering bench thus no additional clinical testing was required.

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RemoteRecon

Methods
RemoteRecon function was tested to ensure it operates correctly by configuring conditions related to RemoteRecon and performing operations.

Results
It was confirmed that the RemoteRecon function (which includes setting existing image reconstruction parameters on an external PC and requesting the execution of image reconstruction on the CT system from the external PC) operates correctly under the configured conditions and performed operations.

AutoPose

Methods
AutoPose function was tested to ensure it operates correctly by configuring conditions related to AutoPose and performing operations.

Results
It was confirmed that the AutoPose function (which includes automatically setting the scan range and the image reconstruction range) operates correctly under the configured conditions and performed automatically setting.

Body Still Shot

Methods
Body Still Shot function was tested to ensure it operates correctly by configuring conditions related to Body Still Shot and performing image reconstruction.

Results
It was confirmed that the Body Still Shot function (which includes setting image reconstruction parameters and reconstructing images) operates correctly under the configured conditions and performed image reconstruction.

Clinical Tests Summary

AutoPose

Methods
Perform AutoPose performance test for each region. In the performance test, it is evaluated that the AutoPose function reduces the number of steps compared to the conventional manual operation.

The performance test of AutoPose of Head (OM, SM, RB), Neck, Chest, Heart, Abdomen, Abdomen-Pelvis, Chest-Abdomen, Chest-Upper Abdomen, C-Spine, T-Spine, L-Spine, and T-L-Spine were performed by certified radiological technologists. The information about the data in the tests is shown below.

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RegionHeadNeckChestHeart
Number of cases50505254
Collection siteClinical sites in the USA
RegionAbdomenAbdomen-Pelvis
Number of cases5252
Collection siteClinical sites in the USA
RegionChest-AbdomenChest-Upper Abdomen
Number of cases50
Collection siteClinical sites in the USA
RegionC-SpineT-SpineL-SpineT-L-Spine
Number of cases50505024
Collection siteClinical sites in the USA

Results
As the evaluation result, it was evaluated all the cases of AutoPose were able to reduce the number of steps compared with manual scan range setting. In addition, even if the scan range set by AutoPose is not set to the expected position, the maximum number of steps to be manually adjusted is the same with manual scan range setting. So, the AutoPose function is substantially equivalent to the predicate device.

However, AutoPose has not been evaluated in pediatric patients, and therefore, it is not intended for use in pediatric patients.

Body Still Shot

Methods
To evaluate the image quality of the reconstruction techniques, the images reconstructed by SCENARIA View system with and without the Body Still Shot were reviewed by Japanese M.D.

Results
Based on the review results, the function of Body Still Shot was evaluated to be able to obtain images of sufficient quality.

Conclusions

FUJIFILM believes that, based on the information included in the submission, the subject device SCENARIA View Phase 5.0 is substantially equivalent with respect to hardware, base elements of the software, safety, effectiveness, and functionality to the predicate device SCENARIA View 4.2 (K231574).

§ 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.