评估用于胎儿胃肠道诊断的 T1 加权磁共振成像技术:比较研究。

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Yijia Zeng , Runtong Zhang , Qing Wang , Jingzhen He , Dexin Yu , Guowei Tao , Jiaxiang Xin , Lei Xue , Meng Zhao
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引用次数: 0

摘要

目的:在临床实践中,胎儿胃肠道磁共振成像(MRI)遇到了巨大挑战。与其他加权图像相比,T1 加权图像特别容易受到胎儿和母体运动的影响,从而使获得满意结果变得更加复杂。这项研究旨在比较三种快速三维-T1加权梯度回波(GRE)序列,即自由呼吸星形叠加VIBE(STAR-VIBE)、屏气VIBE(BH-VIBE)和自由呼吸多平均VIBE(MA-VIBE),用于妊娠21至36周期间胃肠道正常和异常胎儿的胎儿胃肠道磁共振成像:本研究选取了 2022 年 10 月至 2023 年 10 月期间在我院接受胎儿腹部核磁共振成像检查的 67 名孕妇,她们的妊娠期为 21-36 周。在这些参与者中,有22人根据超声检查结果怀疑胎儿胃肠道异常,其余45人被认为胎儿胃肠道发育正常。所有受试者都在西门子1.5 T Aera扫描仪上接受了True快速成像与稳态前序扫描,以及三种T1加权成像技术:STAR-VIBE、BH-VIBE 和 MA-VIBE。两位放射科医生采用五级评分法对图像质量、肠道清晰度和病变明显度进行了评估,得分越高表示每种技术的性能越好;他们对所用的采集方案是盲法。同时还进行了观察者间变异性评估:结果:在胎儿胃肠道 MRI 质量方面,自由呼吸 MA-VIBE 序列的表现明显优于 STAR-VIBE 和 BH-VIBE 序列(3.81 ± 0.40 vs. 3.35 ± 0.70 vs. 2.90 ± 0.64;P与本研究中采用的其他方法相比,自由呼吸 MA-VIBE 序列在评估胎儿肠道状况方面具有更佳的可视化效果。在 1.5 T 磁共振成像设备上,基于自由呼吸 MA-VIBE 序列的 T1 加权图像可有效克服运动伪影,并补偿因应用加速技术而导致的信噪比降低,从而显著提高 T1 加权图像的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating T1-weighted MRI techniques for fetal gastrointestinal diagnostics: A comparative study

Purpose

In clinical practice, fetal gastrointestinal magnetic resonance imaging (MRI) encounters significant challenges. T1-weighted images are particularly susceptible to the effects of fetal and maternal movements compared to other weighted images, complicating the acquisition of satisfactory results. This study aimed to compare three fast 3D-T1 weighted gradient echo (GRE) sequences—free-breathing stack-of-stars VIBE (STAR-VIBE), breath-hold VIBE (BH-VIBE), and free-breathing multi-average VIBE (MA-VIBE)—for fetal gastrointestinal MRI in fetuses with both normal and abnormal gastrointestinal tracts between 21 and 36 weeks of gestation.

Methods

This study enrolled 67 pregnant women who underwent fetal abdominal MRI at our hospital between October 2022 and October 2023, during their gestational period of 21–36 weeks. Among these participants, 22 were suspected of having fetal gastrointestinal anomalies based on ultrasound findings, while the remaining 45 were considered to have normal fetal gastrointestinal development. All subjects underwent True fast imaging with steady-state precession sequence scanning along with three T1-weighted imaging techniques on a Siemens 1.5-T Aera scanner: STAR-VIBE, BH-VIBE, and MA-VIBE. Two radiologists evaluated image quality, intestinal clarity, and lesion conspicuity using a five-point scale where higher scores indicated superior performance for each technique; they were blinded to the acquisition schemes used. Interobserver variability assessments were also conducted.

Results

The free-breathing MA-VIBE sequence demonstrated significantly better performance than both STAR-VIBE and BH-VIBE in terms of fetal gastrointestinal MRI quality (3.81 ± 0.40 vs. 3.35 ± 0.70 vs. 2.90 ± 0.64; p < .05). The STAR-VIBE and BH-VIBE sequences exhibited moderate consistency (kappa = 0.586 and kappa = 0.527 respectively; P < .05), whereas the MA-VIBE sequence showed higher consistency (kappa = 0.712; P < .05).

Conclusion

The free-breathing MA-VIBE sequence provided superior visualization for assessing fetal intestinal conditions compared to other methods employed in this study. On a 1.5 T MRI device, T1-weighted images based on the free-breathing MA-VIBE sequence can effectively overcome motion artifacts and compensate for the reduced signal-to-noise ratio caused by the application of acceleration techniques, thus significantly improving the quality of T1-weighted images.
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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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