Zhang Zanxia, Liu Jie, Wang Weijian, Zhang Yong, Qu Feifei, Hilbert Tom, Kober Tobias, Cheng Jingliang, Li Shujian, Zhu Jinxia
Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Magnetic Resonance Collaboration, Siemens Healthcare Ltd., Beijing, China.
Front Oncol. 2023 Jul 26;13:1117148. doi: 10.3389/fonc.2023.1117148. eCollection 2023.
The application value of T2 mapping in evaluating endometrial carcinoma (EMC) features remains unclear. The aim of the study was to determine the quantitative T2 values in EMC using a novel accelerated T2 mapping, and evaluate them for detection, classification,and grading of EMC.
Fifty-six patients with pathologically confirmed EMC and 17 healthy volunteers were prospectively enrolled in this study. All participants underwent pelvic magnetic resonance imaging, including DWI and accelerated T2 mapping, before treatment. The T2 and apparent diffusion coefficient (ADC) values of different pathologic EMC features were extracted and compared. Receiver operating characteristic (ROC) curve analysis was performed to analyze the diagnostic efficacy of the T2 and ADC values in distinguishing different pathological features of EMC.
The T2 values and ADC values were significantly lower in EMC than in normal endometrium (bothl < 0.05). The T2 and ADC values were significantly different between endometrioid adenocarcinoma (EA) and non-EA (both p < 0.05) and EMC tumor grades (all p < 0.05) but not for EMC clinical types (both p > 0.05) and depth of myometrial invasion (both p > 0.05). The area under the ROC curve (AUC) was higher for T2 values than for ADC values in predicting grade 3 EA (0.939 vs. 0.764, p = 0.048). When combined T2 and ADC values, the AUC for predicting grade 3 EA showed a significant increase to 0.947 (p = 0.03) compared with those of ADC values. The T2 and ADC values were negatively correlated with the tumor grades (r = -0.706 and r = -0.537, respectively).
Quantitative T2 values demonstrate potential suitability in discriminating between EMC and normal endometrium, EA and non-EA, grade 3 EA and grade 1/2 EA. Combining T2 and ADC values performs better in predicting the histological grades of EA in comparison with ADC values alone.
T2 映射在评估子宫内膜癌(EMC)特征方面的应用价值尚不清楚。本研究的目的是使用一种新型加速 T2 映射确定 EMC 中的定量 T2 值,并对其在 EMC 的检测、分类和分级中的应用进行评估。
本研究前瞻性纳入了 56 例经病理证实的 EMC 患者和 17 名健康志愿者。所有参与者在治疗前均接受了盆腔磁共振成像检查,包括弥散加权成像(DWI)和加速 T2 映射。提取并比较不同病理 EMC 特征的 T2 值和表观扩散系数(ADC)值。采用受试者操作特征(ROC)曲线分析来分析 T2 值和 ADC 值在区分 EMC 不同病理特征方面的诊断效能。
EMC 中的 T2 值和 ADC 值显著低于正常子宫内膜(均 P<0.05)。子宫内膜样腺癌(EA)与非 EA 之间以及 EMC 肿瘤分级之间的 T2 值和 ADC 值存在显著差异(均 P<0.05),但 EMC 临床类型之间(均 P>0.05)以及肌层浸润深度之间(均 P>0.05)无显著差异。在预测 3 级 EA 时,T2 值的 ROC 曲线下面积(AUC)高于 ADC 值(0.939 对 0.764,P = 0.048)。当联合 T2 值和 ADC 值时,预测 3 级 EA 的 AUC 与 ADC 值相比显著增加至 0.947(P = 0.03)。T2 值和 ADC 值与肿瘤分级呈负相关(分别为 r = -0.706 和 r = -0.537)。
定量 T2 值在区分 EMC 与正常子宫内膜、EA 与非 EA、3 级 EA 与 1/2 级 EA 方面显示出潜在的适用性。与单独使用 ADC 值相比,联合 T2 值和 ADC 值在预测 EA 的组织学分级方面表现更好。