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基于深度学习重建的加速肩部 MRI 的图像质量和诊断性能。

Image Quality and Diagnostic Performance of Accelerated Shoulder MRI With Deep Learning-Based Reconstruction.

机构信息

Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Haeundae-ro 875, Busan, 48108, South Korea.

Department of Orthopedic Surgery, Inje University College of Medicine, Haeundae Paik Hospital, Busan, South Korea.

出版信息

AJR Am J Roentgenol. 2022 Mar;218(3):506-516. doi: 10.2214/AJR.21.26577. Epub 2021 Sep 15.

DOI:10.2214/AJR.21.26577
PMID:34523950
Abstract

Shoulder MRI using standard multiplanar sequences requires long scan times. Accelerated sequences have tradeoffs in noise and resolution. Deep learning-based reconstruction (DLR) may allow reduced scan time with preserved image quality. The purpose of this study was to compare standard shoulder MRI sequences and accelerated sequences without and with DLR in terms of image quality and diagnostic performance. This retrospective study included 105 patients (45 men, 60 women; mean age, 57.6 ± 10.9 [SD] years) who underwent a total of 110 3-T shoulder MRI examinations. Examinations included standard sequences (scan time, 9 minutes 23 seconds) and accelerated sequences (3 minutes 5 seconds; 67% reduction), both including fast spin-echo sequences in three planes. Standard sequences were reconstructed using the conventional pipeline; accelerated sequences were reconstructed using both the conventional pipeline and a commercially available DLR pipeline. Two radiologists independently assessed three image sets (standard sequence, accelerated sequence without DLR, and accelerated sequence with DLR) for subjective image quality and artifacts using 4-point scales (4 = highest quality) and identified pathologies of the subscapularis tendon, supraspinatus-infraspinatus tendon, long head of the biceps brachii tendon, and glenoid labrum. Interobserver agreement and agreement between image sets for the evaluated pathologies were assessed using weighted kappa statistics. In 27 patients who underwent arthroscopy, diagnostic performance was calculated using arthroscopic findings as a reference standard. Mean subjective image quality scores for readers 1 and 2 were 10.6 ± 1.2 and 10.5 ± 1.4 for the standard sequence, 8.1 ± 1.3 and 7.2 ± 1.1 for the accelerated sequence without DLR, and 10.7 ± 1.2 and 10.5 ± 1.6 for the accelerated sequence with DLR. Mean artifact scores for readers 1 and 2 were 9.3 ± 1.2 and 10.0 ± 1.0 for the standard sequence, 7.3 ± 1.3 and 9.1 ± 0.8 for the accelerated sequence without DLR, and 9.4 ± 1.2 and 9.8 ± 0.8 for the accelerated sequence with DLR. Interobserver agreement ranged from kappa of 0.813-0.951 except for accelerated sequence without DLR for the supraspinatus-infraspinatus tendon (κ = 0.673). Agreement between image sets ranged from kappa of 0.809-0.957 except for reader 1 for supraspinatus-infraspinatus tendon (κ = 0.663-0.700). Accuracy, sensitivity, and specificity for tears of the four structures were not different ( > .05) among image sets. Accelerated sequences with DLR provide 67% scan time reduction with similar subjective image quality, artifacts, and diagnostic performance to standard sequences. Accelerated sequences with DLR may provide an alternative to standard sequences for clinical shoulder MRI.

摘要

使用标准多平面序列的肩部 MRI 需要较长的扫描时间。加速序列在噪声和分辨率方面存在权衡。基于深度学习的重建(DLR)可能允许在保持图像质量的同时减少扫描时间。本研究的目的是比较标准肩部 MRI 序列和无 DLR 及有 DLR 的加速序列在图像质量和诊断性能方面的差异。本回顾性研究纳入了 105 例患者(45 名男性,60 名女性;平均年龄 57.6 ± 10.9[标准差]岁),共进行了 110 次 3-T 肩部 MRI 检查。检查包括标准序列(扫描时间 9 分 23 秒)和加速序列(3 分 5 秒;减少 67%),两者均包括三个平面的快速自旋回波序列。标准序列使用常规管道重建;加速序列使用常规管道和商业上可用的 DLR 管道进行重建。两位放射科医生分别使用 4 分制(4 分为最高质量)评估三个图像集(标准序列、无 DLR 的加速序列和有 DLR 的加速序列)的主观图像质量和伪影,并识别肩胛下肌腱、冈上肌-冈下肌肌腱、肱二头肌长头肌腱和关节盂唇的病变。使用加权 Kappa 统计评估评估病变的观察者间一致性和图像集之间的一致性。在 27 例接受关节镜检查的患者中,使用关节镜检查结果作为参考标准计算诊断性能。读者 1 和 2 的平均主观图像质量评分分别为标准序列的 10.6 ± 1.2 和 10.5 ± 1.4,无 DLR 的加速序列的 8.1 ± 1.3 和 7.2 ± 1.1,有 DLR 的加速序列的 10.7 ± 1.2 和 10.5 ± 1.6。读者 1 和 2 的平均伪影评分分别为标准序列的 9.3 ± 1.2 和 10.0 ± 1.0,无 DLR 的加速序列的 7.3 ± 1.3 和 9.1 ± 0.8,有 DLR 的加速序列的 9.4 ± 1.2 和 9.8 ± 0.8。观察者间一致性范围为 0.813-0.951,除了无 DLR 的冈上肌-冈下肌肌腱的 κ 值为 0.673 外。图像集之间的一致性范围为 0.809-0.957,除了读者 1 的冈上肌-冈下肌肌腱的 κ 值为 0.663-0.700 外。四个结构的撕裂的准确性、敏感度和特异性在图像集之间无差异(>0.05)。有 DLR 的加速序列可在保持相似的主观图像质量、伪影和诊断性能的情况下减少 67%的扫描时间。有 DLR 的加速序列可能是肩部 MRI 的标准序列的替代方案。

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