Artificial Intelligence and Bone Tomoscintigraphies Achieved With CZT Camera

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.

Completed

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Key information

Conditions

Bone Lesion

Age range

18 year–95 year

Sex eligibility

All sexes

Study type

Observational

Primary location

CHRU Nancy

Vandœuvre-lès-Nancy, 54511, France

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

patients referred to fast whole-body bone single photon emission tomography for detection or follow-up of bone metastasis

Treatment and study plan

Whole-body bone single photon emission tomography (SPECT) for detection or follow-up of bone metastasis

Diagnostic Test

Cancer patients referred to fast whole-body bone for detection or follow-up of bone metastasis were retrospectively included in this study.

Primary outcomes

Assess a dedicated deep learning noise reduction algorithm

Time frame: one day

A deep learning noise reduction algorithm was applied on whole-body images recorded

Sponsors and collaborators

Lead sponsor

Central Hospital, Nancy, France

Other

Registry information

Official study title

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

Acronym: IATOS

Important dates

Study start: 2023
Primary completion: 2023
Study completion: 2023
First posted: Feb 28, 2024
Registry last updated: Feb 28, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed