Stritch School of Medicine, Loyola University, Chicago, IL, USA.
Department of Orthopedic Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
BMC Musculoskelet Disord. 2019 Jun 21;20(1):295. doi: 10.1186/s12891-019-2631-z.
Intramuscular fat infiltration is a critical factor in surgical decision-making and is the most important factor used to prognosticate surgical repair outcomes in patients with rotator cuff tears. Quantitative 3D assessment of total rotator cuff fat infiltration in patients with rotator cuff tears has been realized. However, a reproducible method to evaluate 3D spatial distribution of rotator cuff intramuscular fat has not been established. The objective of this study was to establish the reproducibility, change detectable beyond error, and concurrent validity of a semi-automated method to evaluate the 3D spatial distribution of fat infiltration and muscle volume in patients with rotator cuff tears.
Thirteen consecutive patients diagnosed with symptomatic rotator cuff pathology and 3.0 T MRI confirmation at a single center were included. Fat-water imaging was used to quantify 3D intramuscular fat (%fat) in sagittal oblique sequences and intramuscular spatial distribution with the semi-automated technique. Each rotator cuff muscle was manually segmented yielding %fat in four axial intramuscular quartile-regions (superior-inferior; Q1-4) and three sagittal (medial/ intermediate/ lateral) regions. Reliability and concurrent validity of %fat and whole muscle volume were calculated with intraclass correlation coefficients (ICC).
Intra-rater reliability for intramuscular sagittal divisions (ICC = 0.93-0.99) and axial divisions (ICC = 0.78-0.99) was good/excellent. Inter-rater reliability for %fat (ICC = 0.82-0.99) and volume (ICC = 0.92-0.99) was good/excellent. Concurrent validity with commercialized software showed good/excellent agreement (ICC = 0.66-0.99).
A new semi-automated method to assess 3-dimensional intramuscular distribution of fat infiltration in patients with rotator cuff tears using advanced MR imaging demonstrates high intra and inter-rater reliability and good concurrent validity. Minimal detectable change thresholds established facilitate clinical interpretation for future clinical application of this technique to assess change and treatment efficacy in patients with rotator cuff tears.
肌肉内脂肪浸润是手术决策的一个关键因素,也是预测肩袖撕裂患者手术修复结果的最重要因素。已经实现了对肩袖撕裂患者的总肩袖脂肪浸润进行定量 3D 评估。然而,尚未建立一种可重复的方法来评估肩袖内肌脂肪的 3D 空间分布。本研究的目的是建立一种半自动化方法来评估肩袖撕裂患者的脂肪浸润和肌肉体积的 3D 空间分布的可重复性、可检测到的变化以及与现有技术的一致性。
连续纳入 13 例在单一中心确诊为症状性肩袖病变并经 3.0T MRI 证实的患者。脂肪水成像用于在矢状斜位序列中量化 3D 内肌脂肪(%脂肪),并使用半自动技术评估内肌的空间分布。手动分割每个肩袖肌肉,得到 4 个轴内肌四分区(上-下;Q1-4)和 3 个矢状位(内侧/中间/外侧)的%脂肪。采用组内相关系数(ICC)计算%脂肪和整个肌肉体积的可靠性和与现有技术的一致性。
内肌矢状位分区(ICC=0.93-0.99)和轴位分区(ICC=0.78-0.99)的内观察者可靠性良好/优秀。%脂肪(ICC=0.82-0.99)和体积(ICC=0.92-0.99)的观察者间可靠性良好/优秀。与商业化软件的一致性较好/优秀(ICC=0.66-0.99)。
使用先进的 MRI 评估肩袖撕裂患者内肌 3 维脂肪浸润分布的新半自动方法具有较高的内、间观察者可靠性和较好的一致性。建立最小可检测变化阈值有助于为该技术的临床应用提供临床解释,以便评估肩袖撕裂患者的变化和治疗效果。