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Enhanced Myocardial Tissue Visualization: A Comparative Cardiovascular Magnetic Resonance Study of Gradient-Spin Echo-STIR and Conventional STIR Imaging

Overview
Publisher Wiley
Specialty Radiology
Date 2024 Apr 9
PMID 38590625
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Abstract

Purpose: This study is aimed at evaluating the efficacy of the gradient-spin echo- (GraSE-) based short tau inversion recovery (STIR) sequence (GraSE-STIR) in cardiovascular magnetic resonance (CMR) imaging compared to the conventional turbo spin echo- (TSE-) based STIR sequence, specifically focusing on image quality, specific absorption rate (SAR), and image acquisition time.

Methods: In a prospective study, we examined forty-four normal volunteers and seventeen patients referred for CMR imaging using conventional STIR and GraSE-STIR techniques. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), image quality, signal intensity (SI) ratio, SAR, and image acquisition time were compared between both sequences.

Results: GraSE-STIR showed significant improvements in image quality (4.15 ± 0.8 vs. 3.34 ± 0.9, = 0.024) and cardiac motion artifact reduction (7 vs. 18 out of 53, = 0.038) compared to conventional STIR. Furthermore, the acquisition time (27.17 ± 3.53 vs. 36.9 ± 4.08 seconds, = 0.041) and the local torso SAR (<13% vs. <17%, = 0.047) were significantly lower for GraSE-STIR compared to conventional STIR in short-axis plan. However, no significant differences were shown in SI ratio ( = 0.141), SNR ( = 0.093), CNR ( = 0.068), and SAR ( = 0.071) between these two sequences.

Conclusions: GraSE-STIR offers notable advantages over conventional STIR sequence, with improved image quality, reduced motion artifacts, and shorter acquisition times. These findings highlight the potential of GraSE-STIR as a valuable technique for routine clinical CMR imaging.

Citing Articles

Enhanced Myocardial Tissue Visualization: A Comparative Cardiovascular Magnetic Resonance Study of Gradient-Spin Echo-STIR and Conventional STIR Imaging.

Dehghani S, Shirani S, Jazayeri Gharebagh E Int J Biomed Imaging. 2024; 2024:8456669.

PMID: 38590625 PMC: 11001468. DOI: 10.1155/2024/8456669.

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