Tokyo, July 23 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000058545) titled 'Evaluation of the effectiveness of cardiac cine MRI examinations using compressed sensing and AI' on July 22.

Study Type: Interventional

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

Primary Sponsor: Institute - Ehime University

Condition: Condition - heart disease Classification by malignancy - Others Genomic information - NO

Objective: Narrative objectives1 - Cardiac MRI is a useful examination that allows for a comprehensive evaluation of myocardial damage, myocardial contractility, myocardial blood flow, coronary artery stenosis, and hemodynamics without radiation exposure. Cine MRI is a method that synchronizes with an electrocardiogram to capture images of cardiac motion in a video-like manner, enabling quantitative and qualitative evaluation of cardiac function without the use of contrast agents. Compressed sensing (CS) is a technology that restores accurate images from a small amount of sampling data and is applied to cardiac MRI examinations. Setting a high acceleration factor (AF) in CS reduces duration time but degrades image quality. The newly introduced technology which combines CS with image reconstruction using deep learning (DL) enable to acquire high quality images. This technology is expected to reduce examination time while maintaining good image quality. The aim of this study is to assess the image quality and duration time using both this technology and conventional method. Basic objectives2 - Efficacy

Intervention: Interventions/Control_1 - Multiple acceleration factors (AF = 2, 5, 10, 15, etc.) are set for CS, and cine MRI is imaged using both the conventional method (cine MRI without DL) and cine MRI with DL. Images of the left ventricular short-axis view from the base to the apex of the heart are collected. The examination time is expected to be approximately 30 minutes. Image data will be transferred to a dedicated workstation for analysis of quantitative parameters used in image quality assessment and cardiac function analysis. These quantitative parameters, subjective image quality evaluations, and imaging time will be compared and contrasted with the conventional method.

Eligibility: Age-lower limit - 20 years-old <= Age-upper limit - Not applicable Gender - Male and Female Key inclusion criteria - 1) Healthy volunteers aged 20 years or older with no history of heart disease 2) persons who have been informed about the research in advance and have given their consent Key exclusion criteria - 1) persons who could not give research consent 2) claustrophobic person Target Size - 40

Recruitment Status: Recruitment status - Preinitiation Date of protocol fixation - 2025 Year 06 Month 30 Day Anticipated trial start date - 2025 Year 07 Month 20 Day Last follow-up date - 2026 Year 07 Month 20 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066451

Disclaimer: Curated by HT Syndication.