Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, China.
United Imaging Healthcare, Shanghai, China, 2258 Chengbei Rd., Jiading District, Shanghai 201807, China.
Magn Reson Imaging. 2022 Nov;93:175-180. doi: 10.1016/j.mri.2022.08.012. Epub 2022 Aug 18.
To investigate the clinical feasibility of single-breath-hold T2-weighted (SBH-T2WI) liver MRI using Artificial Intelligence-assisted Compressed Sensing (ACS) technique in liver imaging as compared with conventional respiratory-triggered T2WI (RT-T2WI).
From January 2021 to October 2021, 81 patients suspected of liver lesions were enrolled in this prospective study. The liver MRI was performed, including both RT-T2WI and ACS SBH-T2WI. Two experienced radiologists reviewed all images of each studied sequence, and recorded the lesion location and the largest diameter of the lesions. The image quality was quantitatively and qualitatively analyzed regarding signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast ratio (CR), motion artifact, lesion conspicuity, liver boundary sharpness, and overall image quality. The lesion detection and image quality were compared between two sequences using the Chi-square test or Wilcoxon signed-rank test.
For lesion detection, 64 lesions were identified in 53 enrolled patients as the reference standard. The average size was 12.09 ± 7.4 mm for the benign lesions and 45.89 ± 22.01 mm for the malignant lesions. Of 64 liver lesions, ACS SBH-T2WI detected 60 lesions (93.8%), and RT-T2WI detected 58 lesions (90.6%). For image quality analysis, the motion artifact of ACS SBH-T2WI sequence was significantly reduced compared with the conventional RT-T2WI sequence (p < 0.05). The SNR, liver boundary sharpness, and overall image quality showed no statistical differences between the two sequences. While the CNR, CR, and lesion conspicuity of ACS SBH-T2WI were significantly better than RT-T2WI (all p < 0.05).
The SBH-T2WI with ACS technique showed promising performance as it provided significantly better image quality and lesion detectability with a considerable decrease in scanning time as compared with the conventional RT-T2WI.
与传统呼吸触发 T2 加权成像（RT-T2WI）相比，研究基于人工智能辅助压缩感知（ACS）技术的单次屏气 T2 加权（SBH-T2WI）肝脏 MRI 在肝脏成像中的临床可行性。
本前瞻性研究纳入 2021 年 1 月至 2021 年 10 月期间 81 例疑似肝脏病变患者。对所有患者行 RT-T2WI 和 ACS SBH-T2WI 肝脏 MRI 检查。两位有经验的放射科医生对所有研究序列的图像进行评估，记录病变位置和病变最大直径。对 SNR、CNR、CR、运动伪影、病灶显示、肝脏边界锐利度和整体图像质量进行定量和定性分析。采用卡方检验或 Wilcoxon 符号秩检验比较两种序列的病灶检出和图像质量。
以 53 例纳入患者的参考标准共检出 64 个病灶，良性病变的平均大小为 12.09±7.4mm，恶性病变为 45.89±22.01mm。64 个肝脏病变中，ACS SBH-T2WI 检出 60 个病变（93.8%），RT-T2WI 检出 58 个病变（90.6%）。图像质量分析显示，ACS SBH-T2WI 序列的运动伪影明显少于传统 RT-T2WI 序列（p<0.05）。两种序列的 SNR、肝脏边界锐利度和整体图像质量差异无统计学意义。而 ACS SBH-T2WI 的 CNR、CR 和病灶显示明显优于 RT-T2WI（均 p<0.05）。
与传统 RT-T2WI 相比，基于人工智能辅助压缩感知技术的单次屏气 T2 加权成像（SBH-T2WI）可显著提高图像质量和病变检出率，同时显著减少扫描时间，具有广阔的临床应用前景。
