Tokyo, Oct. 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000059249) titled 'Evaluation of Deep Learning Accelerated Three Dimensional Magnetic Resonance Imaging in the Abdomen' on Oct. 1.

Study Type: Interventional

Study Design: Basic Design - Single arm Randomization - Non-randomized Blinding - Open -no one is blinded Control - Self control

Primary Sponsor: Institute - Keio University

Condition: Condition - Abdominal diseases (various) Classification by malignancy - Others Genomic information - NO

Objective: Narrative objectives1 - The aim of this study is to evaluate the clinical utility of three dimensional abdominal MRI sequences incorporating DL Speed, a deep learning based acceleration technique, by comparing them with conventional three dimensional sequences added to standard imaging protocols. Basic objectives2 - Efficacy

Intervention: Interventions/Control_1 - Both the DL Speed-accelerated sequence and the conventional sequence will be obtained during the same examination and comparatively evaluated

Eligibility: Age-lower limit - 18 years-old <= Age-upper limit - Not applicable Gender - Male and Female Key inclusion criteria - Outpatients at Keio University Hospital scheduled to undergo abdominal MRI examinations that include three-dimensional sequences in the imaging protocol. Key exclusion criteria - Individuals under 18 years of age Pregnant women or those with possible pregnancy Patients with electrically, magnetically, or mechanically activated implanted devices (e.g., pacemakers) Patients considered intolerant of prolonged examinations due to conditions such as claustrophobia Any other individuals deemed unsuitable by the principal investigator or co-investigators Target Size - 393

Recruitment Status: Recruitment status - Preinitiation Date of protocol fixation - 2025 Year 09 Month 30 Day Anticipated trial start date - 2025 Year 10 Month 10 Day Last follow-up date - 2028 Year 03 Month 31 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067770

Disclaimer: Curated by HT Syndication.