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采用深度学习图像重建的薄层脂肪抑制单次激发T2加权磁共振成像作为评估胰腺的方案的效用

Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas.

作者信息

Shimada Ryuji, Sofue Keitaro, Ueno Yoshiko, Wakayama Tetsuya, Yamaguchi Takeru, Ueshima Eisuke, Kusaka Akiko, Hori Masatoshi, Murakami Takamichi

机构信息

Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.

Center for Radiology and Radiation Oncology, Kobe University Hospital, Kobe, Hyogo, Japan.

出版信息

Magn Reson Med Sci. 2025 Jul 31;24(4). doi: 10.2463/mrms.mp.2024-0017. Epub 2024 Jul 21.

DOI:10.2463/mrms.mp.2024-0017
PMID:38910138
Abstract

PURPOSE

To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging (T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo T2WI with DLIR for evaluating pancreatic protocol.

METHODS

This retrospective study included 42 patients (mean age, 70.2 years) with pancreatic cancer who underwent gadoxetic acid-enhanced MRI. Three fat-suppressed T2WI, including conventional fast-spin echo with 6 mm thickness (FSE 6 mm), single-shot fast-spin echo with 6 mm and 3 mm thickness (SSFSE 6 mm and SSFSE 3 mm), were acquired for each patient. For quantitative analysis, the SNRs of the upper abdominal organs were calculated between images with and without DLIR. The pancreas-to-lesion contrast on DLIR images was also calculated. For qualitative analysis, two abdominal radiologists independently scored the image quality on a 5-point scale in the FSE 6 mm, SSFSE 6 mm, and SSFSE 3 mm with DLIR.

RESULTS

The SNRs significantly improved among the three T2-weighted images with DLIR compared to those without DLIR in all patients (P < 0.001). The pancreas-to-lesion contrast of SSFSE 3 mm was higher than those of the FSE 6 mm (P < 0.001) and tended to be higher than SSFSE 6 mm (P = 0.07). SSFSE 3 mm had the highest image qualities regarding pancreas edge sharpness, pancreatic duct clarity, and overall image quality, followed by SSFSE 6 mm and FSE 6 mm (P < 0.0001).

CONCLUSION

SSFSE 3 mm with DLIR demonstrated significant improvements in SNRs of the pancreas, pancreas-to-lesion contrast, and image quality more efficiently than did SSFSE 6 mm and FSE 6 mm. Thin-slice fat-suppressed single-shot T2WI with DLIR can be easily implemented for pancreatic MR protocol.

摘要

目的

比较薄层脂肪抑制单次激发T2加权成像(T2WI)联合深度学习图像重建(DLIR)与传统快速自旋回波T2WI联合DLIR在评估胰腺检查方案中的效用。

方法

这项回顾性研究纳入了42例(平均年龄70.2岁)胰腺癌患者,这些患者均接受了钆塞酸增强MRI检查。为每位患者采集了三种脂肪抑制T2WI,包括6毫米厚的传统快速自旋回波(FSE 6毫米)、6毫米和3毫米厚的单次激发快速自旋回波(SSFSE 6毫米和SSFSE 3毫米)。进行定量分析时,计算有和没有DLIR的图像之间上腹部器官的信噪比。还计算了DLIR图像上胰腺与病变的对比度。进行定性分析时,两名腹部放射科医生分别对FSE 6毫米、SSFSE 6毫米和SSFSE 3毫米联合DLIR的图像质量进行5分制评分。

结果

与没有DLIR的情况相比,所有患者的三种T2加权图像联合DLIR后的信噪比均显著提高(P < 0.001)。SSFSE 3毫米的胰腺与病变对比度高于FSE 6毫米(P < 0.001),且有高于SSFSE 6毫米的趋势(P = 0.07)。在胰腺边缘清晰度、胰管清晰度和整体图像质量方面,SSFSE 3毫米的图像质量最高,其次是SSFSE 6毫米和FSE 6毫米(P < 0.0001)。

结论

与SSFSE 6毫米和FSE 6毫米相比,SSFSE 3毫米联合DLIR在胰腺信噪比、胰腺与病变对比度和图像质量方面有更显著的改善。薄层脂肪抑制单次激发T2WI联合DLIR可轻松应用于胰腺MR检查方案。

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