Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Department of Medical Imaging, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Cancer Imaging. 2022 Oct 5;22(1):56. doi: 10.1186/s40644-022-00495-x.
This study aimed to evaluate the diagnostic capacity of apparent diffusion coefficient (ADC) in predicting pathological Masaoka and T stages in patients with thymic epithelial tumors (TETs).
Medical records of 62 patients who were diagnosed with TET and underwent diffusion-weighted imaging (DWI) prior to surgery between August 2017 and July 2021 were retrospectively analyzed. ADC values were calculated from DWI images using b values of 0, 400, and 800 s/mm. Pathological stages were determined by histological examination of surgical specimens. Cut-off points of ADC values were calculated via receiver operating characteristic (ROC) analysis.
Patients had a mean age of 56.3 years. Mean ADC values were negatively correlated with pathological Masaoka and T stages. Higher values of the area under the ROC curve suggested that mean ADC values more accurately predicated pathological T stages than pathological Masaoka stages. The optimal cut-off points of mean ADC were 1.62, 1.31, and 1.48 × 10 mm/sec for distinguishing pathological T2-T4 from pathological T1, pathological T4 from pathological T1-T3, and pathological T3-T4 from pathological T2, respectively.
ADC seems to more precisely predict pathological T stages, compared to pathological Masaoka stage. The cut-off values of ADC identified may be used to preoperatively predict pathological T stages of TETs.
本研究旨在评估表观扩散系数（ADC）在预测胸腺瘤（TET）患者病理 Masaoka 和 T 分期中的诊断能力。
回顾性分析了 2017 年 8 月至 2021 年 7 月期间 62 例经手术前弥散加权成像（DWI）诊断为 TET 并接受检查的患者的病历。从 DWI 图像中使用 b 值为 0、400 和 800 s/mm2 计算 ADC 值。通过手术标本的组织学检查确定病理分期。通过受试者工作特征（ROC）分析计算 ADC 值的截断点。
患者的平均年龄为 56.3 岁。平均 ADC 值与病理 Masaoka 和 T 分期呈负相关。ROC 曲线下面积较高表明平均 ADC 值比病理 Masaoka 分期更准确地预测病理 T 分期。用于区分病理 T2-T4 与病理 T1、病理 T4 与病理 T1-T3 以及病理 T3-T4 与病理 T2 的平均 ADC 的最佳截断点分别为 1.62、1.31 和 1.48×10mm/sec。
与病理 Masaoka 分期相比，ADC 似乎更能准确预测病理 T 分期。确定的 ADC 截断值可用于术前预测 TET 的病理 T 分期。
