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NCT06281015 Clinical Trial

Artificial Intelligence and Bone Tomoscintigraphies Achieved With CZT Camera

Bone Lesion Clinical Trial

— IATOS  

Official title:
Ultra-Fast Whole-Body Bone Tomoscintigraphies Achieved With a High-Sensitivity 360° CZT Camera and a Dedicated Deep Learning Noise Reduction Algorithm

Clinical Trial Details — Status: Completed

Administrative data
NCT number NCT06281015
Other study ID # 2023PI095-407
Secondary ID
Status Completed
Phase
First received
Last updated
Start date August 30, 2023
Est. completion date October 30, 2023

Study information
Verified date February 2024
Source Central Hospital, Nancy, France
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 minutes, routinely provided by a high-sensitivity 360 degrees cadmium and zinc telluride (CZT) camera, can be further reduced by a deep learning noise reduction (DLNR) algorithm.

Description:

This study aimed to determine the extent to which fast whole-body bone-SPECT recording times, routinely obtained with a high-sensitivity 360 degrees CZT-camera and rather low injected activities, can be further reduced using the DLNR algorithm.

Recruitment information / eligibility
Status Completed
Enrollment 19
Est. completion date October 30, 2023
Est. primary completion date September 10, 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years to 95 Years
Eligibility Inclusion Criteria: - patients referred to fast whole-body bone single photon emission tomography for detection or follow-up of bone metastasis

Study Design

Related Conditions & MeSH terms

Intervention

Diagnostic Test:
• Whole-body bone single photon emission tomography (SPECT) for detection or follow-up of bone metastasis
Cancer patients referred to fast whole-body bone for detection or follow-up of bone metastasis were retrospectively included in this study.

Locations
Country Name City State
France CHRU Nancy Vandoeuvre les Nancy cedex

Sponsors (1)
Lead Sponsor Collaborator
Central Hospital, Nancy, France

Country where clinical trial is conducted

France, 

Outcome
Type Measure Description Time frame Safety issue
Primary Assess a dedicated deep learning noise reduction algorithm A deep learning noise reduction algorithm was applied on whole-body images recorded one day
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