Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
The Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, USA.
Cartilage. 2021 Dec;13(1_suppl):1315S-1323S. doi: 10.1177/1947603519870852. Epub 2019 Aug 27.
The outcome of arthroscopic treatment for femoroacetabular impingement (FAI) depends on the preoperative status of the hip cartilage. Quantitative T2 can detect early biochemical cartilage changes, but its routine implementation is challenging. Furthermore, intrinsic T2 variability between patients makes it difficult to define a threshold to identify cartilage lesions. To address this, we propose a normalized T2-index as a new method to evaluate cartilage in FAI.
We retrospectively analyzed magnetic resonance imaging (MRI) data of 18 FAI patients with arthroscopically confirmed cartilage defects. Cartilage T2 maps were reconstructed from multi-spin-echo 3-T data using the echo-modulation-curve (EMC) model-based technique. The central femoral cartilage, assumed healthy in early-stage FAI, was used as the normalization reference to define a T2-index. We investigated the ability of the T2-index to detect surgically confirmed cartilage lesions.
The average T2-index was 1.14 ± 0.1 and 1.13 ± 0.1 for 2 separated segmentations. Using T2-index >1 as the threshold for damaged cartilage, accuracy was 88% and 100% for the 2 segmentations. We found moderate intraobserver repeatability, although separate segmentations yielded comparable accuracy. Damaged cartilage could not be identified using nonnormalized average T2 values.
This preliminary study confirms the importance of normalizing T2 values to account for interpatient variability and suggests that the T2-index is a promising biomarker for the detection of cartilage lesions in FAI. Future work is needed to confirm that combining T2-index with morphologic MRI and other quantitative biomarkers could improve cartilage assessment in FAI.
髋关节撞击综合征(FAI)的关节镜治疗结果取决于髋关节软骨的术前状态。定量 T2 可检测早期生化软骨变化,但常规实施具有挑战性。此外,患者之间内在 T2 可变性使得难以定义识别软骨病变的阈值。为了解决这个问题,我们提出了一种归一化 T2 指数作为评估 FAI 中软骨的新方法。
我们回顾性分析了 18 例经关节镜证实有软骨缺损的 FAI 患者的磁共振成像(MRI)数据。使用基于回波调制曲线(EMC)模型的技术从多回波 3-T 数据重建软骨 T2 图谱。假设在早期 FAI 中健康的中央股骨软骨被用作归一化参考来定义 T2 指数。我们研究了 T2 指数检测手术证实的软骨病变的能力。
平均 T2 指数为 1.14 ± 0.1 和 1.13 ± 0.1,用于 2 个单独的分割。使用 T2 指数>1 作为受损软骨的阈值,2 个分割的准确性分别为 88%和 100%。我们发现观察者内的重复性中等,尽管单独的分割具有可比性。使用未归一化的平均 T2 值无法识别受损的软骨。
这项初步研究证实了对 T2 值进行归一化以解释个体间变异性的重要性,并表明 T2 指数是检测 FAI 中软骨病变的有前途的生物标志物。需要进一步的研究来证实将 T2 指数与形态 MRI 和其他定量生物标志物相结合是否可以改善 FAI 中的软骨评估。