From the Department of Radiology, Shinshu University School of Medicine.
Radiology Division, Shinshu University Hospital, Matsumoto.
Invest Radiol. 2023 Jun 1;58(6):373-379. doi: 10.1097/RLI.0000000000000943. Epub 2022 Dec 26.
The aim of this study was to evaluate the usefulness of breath-hold turbo spin echo with deep learning-based reconstruction (BH-DL-TSE) in acquiring fat-suppressed T2-weighted images (FS-T2WI) of the liver by comparing this method with conventional free-breathing turbo spin echo (FB-TSE) and breath-hold half Fourier single-shot turbo spin echo with deep learning-based reconstruction (BH-DL-HASTE).
The study cohort comprised 111 patients with suspected liver disease who underwent 3 T magnetic resonance imaging. Fifty-eight focal solid liver lesions ≥10 mm were also evaluated. Three sets of FS-T2WI were acquired using FB-TSE, prototypical BH-DL-TSE, and prototypical BH-DL-HASTE, respectively. In the qualitative analysis, 2 radiologists evaluated the image quality using a 5-point scale. In the quantitative analysis, we calculated the lesion-to-liver signal intensity ratio (LEL-SIR). Friedman test and Dunn multiple comparison test were performed to assess differences among 3 types of FS-T2WI with respect to image quality and LEL-SIR.
The mean acquisition time was 4 minutes and 43 seconds ± 1 minute and 21 seconds (95% confidence interval, 4 minutes and 28 seconds to 4 minutes and 58 seconds) for FB-TSE, 40 seconds for BH-DL-TSE, and 20 seconds for BH-DL-HASTE. In the qualitative analysis, BH-DL-HASTE resulted in the fewest respiratory motion artifacts ( P < 0.0001). BH-DL-TSE and FB-TSE exhibited significantly less motion-related signal loss and clearer intrahepatic vessels than BH-DL-HASTE ( P < 0.0001). Regarding the edge sharpness of the left lobe, BH-DL-HASTE scored the highest ( P < 0.0001), and BH-DL-TSE scored higher than FB-TSE ( P = 0.0290). There were no significant differences among 3 types of FS-T2WI with respect to the edge sharpness of the right lobe ( P = 0.1290), lesion conspicuity ( P = 0.5292), and LEL-SIR ( P = 0.6026).
BH-DL-TSE provides a shorter acquisition time and comparable or better image quality than FB-TSE, and could replace FB-TSE in acquiring FS-T2WI of the liver. BH-DL-TSE and BH-DL-HASTE have their own advantages and may be used complementarily.
本研究旨在通过比较该方法与常规自由呼吸 turbo 自旋回波(FB-TSE)和基于深度学习的重建半傅里叶单 shot turbo 自旋回波(BH-DL-HASTE),评估基于深度学习的屏气 turbo 自旋回波(BH-DL-TSE)在获取肝脏脂肪抑制 T2 加权图像(FS-T2WI)中的应用价值。
本研究队列包括 111 例疑似肝脏疾病患者,均接受 3T 磁共振成像检查。还评估了 58 个直径≥10mm 的局灶性实性肝脏病变。分别使用 FB-TSE、原型 BH-DL-TSE 和原型 BH-DL-HASTE 采集三组 FS-T2WI。在定性分析中,2 名放射科医生使用 5 分制评估图像质量。在定量分析中,我们计算了病变与肝脏信号强度比(LEL-SIR)。采用 Friedman 检验和 Dunn 多重比较检验评估 3 种 FS-T2WI 之间的图像质量和 LEL-SIR 差异。
FB-TSE 的平均采集时间为 4 分 43 秒±1 分 21 秒(95%置信区间,4 分 28 秒至 4 分 58 秒),BH-DL-TSE 为 40 秒,BH-DL-HASTE 为 20 秒。在定性分析中,BH-DL-HASTE 产生的呼吸运动伪影最少(P<0.0001)。BH-DL-TSE 和 FB-TSE 与 BH-DL-HASTE 相比,运动相关信号丢失更少,肝内血管显示更清晰(P<0.0001)。关于左叶边缘锐利度,BH-DL-HASTE 评分最高(P<0.0001),BH-DL-TSE 评分高于 FB-TSE(P=0.0290)。3 种 FS-T2WI 在右叶边缘锐利度(P=0.1290)、病变显示(P=0.5292)和 LEL-SIR(P=0.6026)方面均无显著差异。
BH-DL-TSE 比 FB-TSE 具有更短的采集时间和相当或更好的图像质量,可替代 FB-TSE 用于肝脏 FS-T2WI 的采集。BH-DL-TSE 和 BH-DL-HASTE 各有优势,可互补使用。