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跟腱腱病:在3T场强下记录的亚毫米各向同性三维磁共振成像数据集中,通过自动轮廓检测评估体积。

Tendinopathy of the achilles tendon: volume assessed by automated contour detection in submillimeter isotropic 3-dimensional magnetic resonance imaging data sets recorded at a field strength of 3 T.

作者信息

Syha Roland, Springer Fabian, Würslin Christian, Ipach Ingmar, Ketelsen Dominik, Grözinger Gerd, Notohamiprodjo Mike, Nikolaou Konstantin, Claussen Claus D, Schick Fritz, Grosse Ulrich

机构信息

From the *Diagnostic and Interventional Radiology, †Section on Experimental Radiology, and ‡Department of Orthopaedic Surgery, Eberhard-Karls-University, Tübingen, Germany.

出版信息

J Comput Assist Tomogr. 2015 Mar-Apr;39(2):250-6. doi: 10.1097/RCT.0000000000000203.

Abstract

OBJECTIVE

This prospective study assesses volume changes of the Achilles tendon in case of chronic tendinopathy (TEN), using an automated contour detection algorithm in submillimeter isotropic 3-dimensional magnetic resonance imaging data sets, recorded at 3 T.

METHODS

Forty-one subjects (median age, 40 years; range, 19-68 years) were included in this prospective study and underwent nonenhanced magnetic resonance imaging of both Achilles tendons at 3 T, deploying a T2-weighted 3-dimensional Fast-Spin-Echo sequence with submillimeter resolution of 0.8 mm. Of the 41 subjects, 13 were classified as patients with TEN and 28 were healthy volunteers and served as control group. Of the 13 patients, 10 had unilateral TEN and 3 had bilateral TEN. Achilles tendons were automatically segmented in the T2-weighted magnetic resonance data sets for the evaluation of the tendon volume (0-3 cm proximal to the cranial border of the calcaneal bone). The total volume (length, 3 cm) was divided in 3 subvolumes of 1 cm length, named volume (0-1 cm), volume (1-2 cm), and volume (2-3 cm). Minimum and maximum tendon cross-sectional area within the total volume was processed. A standardized pain questionnaire was obtained from all patients.

RESULTS

The automated contour detection algorithm worked reliably in all cases. The TEN group showed a significantly increased tendon volume compared to the control group (mean volume, 2.94 vs 2.43 mm; P < 0.05). The difference was most obvious concerning volume (2-3 cm) (P < 0.0001). Evaluation of clinical severity revealed a moderate correlation between VISA-score and tendon volume (2-3 cm) as well as the maximum/minimum tendon area (ρ = -0.44, ρ = -0.48, and ρ = -0.41). In case of unilateral TEN, the symptomatic side showed an increased tendon volume (2-3 cm) and increased minimum area (P < 0.05).

CONCLUSIONS

Tendon volume and size are adequate surrogate parameters to differentiate patients with chronic TEN from healthy subjects, and may discriminate symptomatic TEN from asymptomatic "silent" TEN in patients with unilateral symptoms.

摘要

目的

本前瞻性研究使用一种自动轮廓检测算法,在3T条件下记录的亚毫米各向同性三维磁共振成像数据集中,评估慢性肌腱病(TEN)患者跟腱的体积变化。

方法

41名受试者(年龄中位数为40岁;范围为19 - 68岁)纳入本前瞻性研究,并在3T条件下对双侧跟腱进行非增强磁共振成像,采用分辨率为0.8mm的亚毫米T2加权三维快速自旋回波序列。41名受试者中,13名被归类为TEN患者,28名是健康志愿者作为对照组。13名患者中,10名为单侧TEN,3名为双侧TEN。在T2加权磁共振数据集中自动分割跟腱,以评估肌腱体积(距跟骨颅侧边界近端0 - 3cm)。总体积(长度为3cm)分为3个长度为1cm的子体积,分别命名为体积(0 - 1cm)、体积(1 - 2cm)和体积(2 - 3cm)。处理总体积内肌腱的最小和最大横截面积。从所有患者处获取标准化疼痛问卷。

结果

自动轮廓检测算法在所有病例中均可靠运行。TEN组与对照组相比,肌腱体积显著增加(平均体积,2.94对2.43mm;P < 0.05)。差异在体积(2 - 3cm)方面最为明显(P < 0.0001)。临床严重程度评估显示,VISA评分与肌腱体积(2 - 3cm)以及肌腱最大/最小面积之间存在中度相关性(ρ = -0.44、ρ = -0.48和ρ = -0.41)。在单侧TEN病例中,有症状侧的肌腱体积(2 - 3cm)增加,最小面积增加(P < 0.05)。

结论

肌腱体积和大小是区分慢性TEN患者与健康受试者的合适替代参数,并且可以区分单侧有症状患者中有症状的TEN与无症状的“隐匿性”TEN。

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