急性膝关节损伤患者磁共振成像半月板的自动T2映射

Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury.

作者信息

Paproki Anthony, Engstrom Craig, Strudwick Mark, Wilson Katharine J, Surowiec Rachel K, Ho Charles, Crozier Stuart, Fripp Jurgen

机构信息

Australian e-Health Research Centre, CSIRO, Level 5 UQ Health Sciences Building, Royal Brisbane and Women's Hospital, Herston, Queensland 4029, Australia; School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, Queensland 4072, Australia; The Australian e-Health Research Centre, CSIRO, Queensland, Australia.

School of Human Movement Studies, The University of Queensland, St Lucia, Queensland 4072, Australia.

出版信息

Acad Radiol. 2017 Oct;24(10):1295-1304. doi: 10.1016/j.acra.2017.03.025. Epub 2017 May 24.

DOI:10.1016/j.acra.2017.03.025

PMID:28551397

Abstract

RATIONALE AND OBJECTIVES

This study aimed to evaluate the accuracy of an automated method for segmentation and T2 mapping of the medial meniscus (MM) and lateral meniscus (LM) in clinical magnetic resonance images from patients with acute knee injury.

MATERIALS AND METHODS

Eighty patients scheduled for surgery of an anterior cruciate ligament or meniscal injury underwent magnetic resonance imaging of the knee (multiplanar two-dimensional [2D] turbo spin echo [TSE] or three-dimensional [3D]-TSE examinations, T2 mapping). Each meniscus was automatically segmented from the 2D-TSE (composite volume) or 3D-TSE images, auto-partitioned into anterior, mid, and posterior regions, and co-registered onto the T2 maps. The Dice similarity index (spatial overlap) was calculated between automated and manual segmentations of 2D-TSE (15 patients), 3D-TSE (16 patients), and corresponding T2 maps (31 patients). Pearson and intraclass correlation coefficients (ICC) were calculated between automated and manual T2 values. T2 values were compared (Wilcoxon rank sum tests) between torn and non-torn menisci for the subset of patients with both manual and automated segmentations to compare statistical outcomes of both methods.

RESULTS

The Dice similarity index values for the 2D-TSE, 3D-TSE, and T2 map volumes, respectively, were 76.4%, 84.3%, and 75.2% for the MM and 76.4%, 85.1%, and 76.1% for the LM. There were strong correlations between automated and manual T2 values (r = 0.95, ICC = 0.94; r = 0.97, ICC = 0.97). For both the manual and the automated methods, T2 values were significantly higher in torn than in non-torn MM for the full meniscus and its subregions (P < .05). Non-torn LM had higher T2 values than non-torn MM (P < .05).

CONCLUSIONS

The present automated method offers a promising alternative to manual T2 mapping analyses of the menisci and a considerable advance for integration into clinical workflows.

摘要

原理与目的

本研究旨在评估一种自动方法在急性膝关节损伤患者临床磁共振图像中对内侧半月板（MM）和外侧半月板（LM）进行分割及T2映射的准确性。

材料与方法

80例计划接受前交叉韧带或半月板损伤手术的患者接受了膝关节磁共振成像（多平面二维[2D]快速自旋回波[TSE]或三维[3D]-TSE检查，T2映射）。每个半月板从2D-TSE（复合容积）或3D-TSE图像中自动分割出来，自动划分为前、中、后区域，并配准到T2图谱上。计算2D-TSE（15例患者）、3D-TSE（16例患者）及相应T2图谱（31例患者）自动分割与手动分割之间的骰子相似性指数（空间重叠）。计算自动与手动T2值之间的Pearson相关系数和组内相关系数（ICC）。对同时有手动和自动分割的患者子集，比较撕裂和未撕裂半月板之间的T2值（Wilcoxon秩和检验），以比较两种方法的统计结果。

结果

MM的2D-TSE、3D-TSE和T2图谱容积的骰子相似性指数值分别为76.4%、84.3%和75.2%，LM分别为76.4%、85.1%和76.1%。自动与手动T2值之间存在强相关性（r = 0.95，ICC = 0.94；r = 0.97，ICC = 0.97）。对于手动和自动方法，整个半月板及其子区域中，撕裂的MM的T2值显著高于未撕裂的MM（P < 0.05）。未撕裂的LM的T2值高于未撕裂的MM（P < 0.05）。