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基于深度学习重建的超快速脑 MRI 在疑似急性缺血性脑卒中中的应用。

Ultrafast Brain MRI with Deep Learning Reconstruction for Suspected Acute Ischemic Stroke.

机构信息

From the Department of Neuroradiology (S.A., N.F.G., L.B., M.K., M.A.B., A.E.O.), Institute of Medical Biostatistics, Epidemiology and Informatics (I.S., R.P.), and Department of Neurology (T.U., S.G.), University Medical Center Mainz, Johannes Gutenberg University, Langenbeckstr 1, 55131 Mainz, Germany; Siemens Medical Solutions USA, Boston, Mass (B.C.); and Siemens Healthcare, Erlangen, Germany (T.F., Z.H.).

出版信息

Radiology. 2024 Feb;310(2):e231938. doi: 10.1148/radiol.231938.

Abstract

Background Deep learning (DL)-accelerated MRI can substantially reduce examination times. However, studies prospectively evaluating the diagnostic performance of DL-accelerated MRI reconstructions in acute suspected stroke are lacking. Purpose To investigate the interchangeability of DL-accelerated MRI with conventional MRI in patients with suspected acute ischemic stroke at 1.5 T. Materials and Methods In this prospective study, 211 participants with suspected acute stroke underwent clinically indicated MRI at 1.5 T between June 2022 and March 2023. For each participant, conventional MRI (including T1-weighted, T2-weighted, T2*-weighted, T2 fluid-attenuated inversion-recovery, and diffusion-weighted imaging; 14 minutes 18 seconds) and DL-accelerated MRI (same sequences; 3 minutes 4 seconds) were performed. The primary end point was the interchangeability between conventional and DL-accelerated MRI for acute ischemic infarction detection. Secondary end points were interchangeability regarding the affected vascular territory and clinically relevant secondary findings (eg, microbleeds, neoplasm). Three readers evaluated the overall occurrence of acute ischemic stroke, affected vascular territory, clinically relevant secondary findings, overall image quality, and diagnostic confidence. For acute ischemic lesions, size and signal intensities were assessed. The margin for interchangeability was chosen as 5%. For interrater agreement analysis and interrater reliability analysis, multirater Fleiss κ and the intraclass correlation coefficient, respectively, was determined. Results The study sample consisted of 211 participants (mean age, 65 years ± 16 [SD]); 123 male and 88 female). Acute ischemic stroke was confirmed in 79 participants. Interchangeability was demonstrated for all primary and secondary end points. No individual equivalence indexes (IEIs) exceeded the interchangeability margin of 5% (IEI, -0.002 [90% CI: -0.007, 0.004]). Almost perfect interrater agreement was observed ( > .91). DL-accelerated MRI provided higher overall image quality ( < .001) and diagnostic confidence ( < .001). The signal properties of acute ischemic infarctions were similar in both techniques and demonstrated good to excellent interrater reliability (intraclass correlation coefficient, ≥0.8). Conclusion Despite being four times faster, DL-accelerated brain MRI was interchangeable with conventional MRI for acute ischemic lesion detection. © RSNA, 2024 See also the editorial by Haller in this issue.

摘要

背景 深度学习(DL)加速 MRI 可以大大缩短检查时间。然而,目前缺乏前瞻性研究评估 DL 加速 MRI 重建在急性疑似卒中患者中的诊断性能。目的 旨在研究在 1.5 T 场强下,DL 加速 MRI 与常规 MRI 在疑似急性缺血性卒中患者中的可互换性。材料与方法 本前瞻性研究纳入了 211 例 2022 年 6 月至 2023 年 3 月间在 1.5 T 场强下进行临床指征性 MRI 检查的疑似急性卒中患者。每位患者均接受常规 MRI(包括 T1 加权、T2 加权、T2*-加权、T2 液体衰减反转恢复和弥散加权成像;14 分 18 秒)和 DL 加速 MRI(相同序列;3 分 4 秒)检查。主要终点是急性缺血性梗死检测中常规 MRI 和 DL 加速 MRI 的可互换性。次要终点是在受累血管区域和临床相关次要发现(如微出血、肿瘤)方面的可互换性。3 位阅片者评估了急性缺血性卒中的总体发生情况、受累血管区域、临床相关次要发现、整体图像质量和诊断信心。对于急性缺血性病变,评估其大小和信号强度。可互换性的边界选择为 5%。对于组内一致性分析和组内可靠性分析,分别采用多组 Fleiss κ 和组内相关系数进行评估。结果 研究样本包括 211 例患者(平均年龄 65 岁±16[标准差]);123 例男性,88 例女性)。79 例患者确诊为急性缺血性卒中。所有主要和次要终点均表现出可互换性。没有任何个体等效指数(IEI)超过 5%的可互换性边界(IEI,-0.002[90%CI:-0.007,0.004])。观察到几乎完美的组内一致性(>0.91)。DL 加速 MRI 提供了更高的整体图像质量(<0.001)和诊断信心(<0.001)。两种技术下急性缺血性梗死的信号特征相似,组内一致性良好至极好(组内相关系数≥0.8)。结论 尽管 DL 加速脑 MRI 速度快 4 倍,但在急性缺血性病灶检测方面,其与常规 MRI 可互换。

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