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[3T乳腺MRI上使用层面选择梯度反转技术对扩散加权成像脂肪抑制的评估]

[Evaluation of Fat Suppression of Diffusion-weighted Imaging Using Section Select Gradient Reversal Technique on 3 T Breast MRI].

作者信息

Takemori Daichi, Kimura Daisuke, Yamada Eiji, Higashida Mitsuji

机构信息

Department of Radiology, Osaka City University Hospital.

出版信息

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2016 Jul;72(7):589-94. doi: 10.6009/jjrt.2016_JSRT_72.7.589.

DOI:10.6009/jjrt.2016_JSRT_72.7.589
PMID:27440702
Abstract

This study evaluates fat suppression of diffusion-weighted imaging (DWI) using section select gradient reversal (SSGR) technique in clinical images on 3 T breast MRI. A total of 20 patients with breast cancer were examined at a Philips Ingenia 3 T MRI. We acquired DWI with SPAIR, SSGR-SPAIR, STIR, and SSGR-STIR. We evaluated contrast between the fat region and lesion, the coefficient of variance (CV) of the fat region and the apparent diffusion coefficient (ADC) of normal breast tissue and lesion. The contrast between the fat region and lesion was improved with SSGR technique. The CV of the fattest region did not have any significant difference in SPAIR technique (p>0.05), but it was significantly decreased in the STIR technique using SSGR technique (p<0.05). Positive correlation was observed in ADC value between SPAIR and other fat suppression techniques (SSGR-SPAIR, STIR, SSGR-STIR). DWI using SSGR technique was suggested to be effective on 3 T breast MRI.

摘要

本研究在3T乳腺MRI临床图像中,使用层面选择梯度反转(SSGR)技术评估扩散加权成像(DWI)的脂肪抑制效果。共有20例乳腺癌患者在飞利浦Ingenia 3T MRI上进行检查。我们采用频谱预饱和反转恢复(SPAIR)、SSGR-SPAIR、短TI反转恢复(STIR)和SSGR-STIR序列采集DWI图像。我们评估了脂肪区域与病变之间的对比度、脂肪区域的变异系数(CV)以及正常乳腺组织和病变的表观扩散系数(ADC)。SSGR技术提高了脂肪区域与病变之间的对比度。最胖区域的CV在SPAIR技术中无显著差异(p>0.05),但在使用SSGR技术的STIR技术中显著降低(p<0.05)。SPAIR与其他脂肪抑制技术(SSGR-SPAIR、STIR、SSGR-STIR)的ADC值之间存在正相关。提示在3T乳腺MRI上,使用SSGR技术的DWI是有效的。

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