From the Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen.
MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Invest Radiol. 2021 May 1;56(5):313-319. doi: 10.1097/RLI.0000000000000743.
The aim of this study was to evaluate the feasibility of a single breath-hold fast half-Fourier single-shot turbo spin echo (HASTE) sequence using a deep learning reconstruction (HASTEDL) for T2-weighted magnetic resonance imaging of the abdomen as compared with 2 standard T2-weighted imaging sequences (HASTE and BLADE).
Sixty-six patients who underwent 1.5-T liver magnetic resonance imaging were included in this monocentric, retrospective study. The following T2-weighted sequences in axial orientation and using spectral fat suppression were compared: a conventional respiratory-triggered BLADE sequence (time of acquisition [TA] = 4:00 minutes), a conventional multiple breath-hold HASTE sequence (HASTES) (TA = 1:30 minutes), as well as a single breath-hold HASTE with deep learning reconstruction (HASTEDL) (TA = 0:16 minutes). Two radiologists assessed the 3 sequences regarding overall image quality, noise, sharpness, diagnostic confidence, and lesion detectability as well as lesion characterization using a Likert scale ranging from 1 to 4 with 4 being the best. Comparative analyses were conducted to assess the differences between the 3 sequences.
HASTEDL was successfully acquired in all patients. Overall image quality for HASTEDL was rated as good (median, 3; interquartile range, 3-4) and was significantly superior to HASTEs (P < 0.001) and inferior to BLADE (P = 0.001). Noise, sharpness, and artifacts for HASTEDL reached similar levels to BLADE (P ≤ 0.176) and were significantly superior to HASTEs (P < 0.001). Diagnostic confidence for HASTEDL was rated excellent by both readers and significantly superior to HASTEs (P < 0.001) and inferior to BLADE (P = 0.044). Lesion detectability and lesion characterization for HASTEDL reached similar levels to those of BLADE (P ≤ 0.523) and were significantly superior to HASTEs (P < 0.001). Concerning the number of detected lesions and the measured diameter of the largest lesion, no significant differences were found comparing BLADE, HASTES, and HASTEDL (P ≤ 0.912).
The single breath-hold HASTEDL is feasible and yields comparable image quality and diagnostic confidence to standard T2-weighted TSE BLADE and may therefore allow for a remarkable time saving in abdominal imaging.
本研究旨在评估单次屏气快速半傅里叶单次激发涡轮自旋回波（HASTE）序列结合深度学习重建（HASTEDL）用于腹部 T2 加权磁共振成像的可行性，与两种标准 T2 加权成像序列（HASTE 和 BLADE）进行比较。
本研究为单中心回顾性研究，共纳入 66 例行 1.5T 肝脏磁共振成像的患者。对以下轴向方向使用光谱脂肪抑制的 T2 加权序列进行比较：常规呼吸触发的 BLADE 序列（采集时间[TA] = 4：00 分钟），常规多次屏气 HASTE 序列（HASTES）（TA = 1：30 分钟），以及单次屏气 HASTE 结合深度学习重建（HASTEDL）（TA = 0：16 分钟）。两名放射科医生使用 1 到 4 分的李克特量表对这 3 种序列的整体图像质量、噪声、锐利度、诊断信心和病变检出率以及病变特征进行评估。进行对比分析以评估这 3 种序列之间的差异。
HASTEDL 序列在所有患者中均成功获得。HASTEDL 的整体图像质量评分为良好（中位数为 3 分；四分位间距为 3-4 分），明显优于 HASTES（P < 0.001），劣于 BLADE（P = 0.001）。HASTEDL 的噪声、锐利度和伪影与 BLADE 相似（P ≤ 0.176），明显优于 HASTES（P < 0.001）。两位放射科医生均认为 HASTEDL 的诊断信心极佳，明显优于 HASTES（P < 0.001），劣于 BLADE（P = 0.044）。HASTEDL 的病变检出率和最大病变直径的测量与 BLADE 相似（P ≤ 0.523），明显优于 HASTES（P < 0.001）。关于检出病变的数量和最大病变的测量直径，BLADE、HASTES 和 HASTEDL 之间无明显差异（P ≤ 0.912）。
单次屏气 HASTEDL 是可行的，其图像质量和诊断信心与标准 T2 加权 TSE BLADE 相当，因此可在腹部成像中显著节省时间。
