Kang Yeonah, Lee Guen Young, Lee Joon Woo, Lee Eugene, Kim Bohyoung, Kim Su Jin, Ahn Joong Mo, Kang Heung Sik
Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea.
Department of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Korean J Radiol. 2017 Jul-Aug;18(4):691-698. doi: 10.3348/kjr.2017.18.4.691. Epub 2017 May 19.
To evaluate texture data of the torn supraspinatus tendon (SST) on preoperative T2-weighted magnetic resonance arthrography (MRA) using the gray-level co-occurrence matrix (GLCM) for prediction of post-operative tendon state.
Fifty patients who underwent arthroscopic rotator cuff repair for full-thickness tears of the SST were included in this retrospective study. Based on 1-year follow-up, magnetic resonance imaging showed that 30 patients had intact SSTs, and 20 had rotator cuff retears. Using GLCM, two radiologists measured independantly the highest signal intensity area of the distal end of the torn SST on preoperative T2-weighted MRA, which were compared between two groups.The relationships with other well-known prognostic factors, including age, tear size (anteroposterior dimension), retraction size (mediolateral tear length), grade of fatty degeneration of the SST and infraspinatus tendon, and arthroscopic fixation technique (single or double row), also were evaluated.
Of all the GLCM features, the retear group showed significantly higher entropy ( < 0.001 and = 0.001), variance ( = 0.030 and 0.011), and contrast ( = 0.033 and 0.012), but lower angular second moment ( < 0.001 and = 0.002) and inverse difference moment ( = 0.027 and 0.027), as well as larger tear size ( = 0.001) and retraction size ( = 0.002) than the intact group. Retraction size (odds ratio [OR] = 3.053) and entropy (OR = 17.095) were significant predictors.
Texture analysis of torn SSTs on preoperative T2-weighted MRA using the GLCM may be helpful to predict postoperative tendon state after rotator cuff repair.
利用灰度共生矩阵（GLCM）评估术前T2加权磁共振关节造影（MRA）上撕裂的冈上肌腱（SST）的纹理数据，以预测术后肌腱状态。
本回顾性研究纳入了50例行关节镜下肩袖全层撕裂修复术的患者。基于1年的随访，磁共振成像显示30例患者的SST完整，20例患者出现肩袖再撕裂。两名放射科医生使用GLCM，在术前T2加权MRA上独立测量撕裂的SST远端的最高信号强度区域，并在两组之间进行比较。还评估了其与其他已知预后因素的关系，包括年龄、撕裂大小（前后径）、回缩大小（内外侧撕裂长度）、SST和冈下肌腱的脂肪变性程度以及关节镜固定技术（单排或双排）。
在所有GLCM特征中，再撕裂组的熵（<0.001和=0.001）、方差（=0.030和0.011）和对比度（=0.033和0.012）显著更高，但角二阶矩（<0.001和=0.002）和逆差矩（=0.027和0.027）更低，且撕裂大小（=0.001）和回缩大小（=0.002）比完整组更大。回缩大小（优势比[OR]=3.053）和熵（OR=17.095）是显著的预测因素。
利用GLCM对术前T2加权MRA上撕裂的SST进行纹理分析，可能有助于预测肩袖修复术后的肌腱状态。
