Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, 230001, China.
Department of Radiology, First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, 230031, China.
BMC Cancer. 2021 Nov 24;21(1):1266. doi: 10.1186/s12885-021-08988-x.
To identify predictive value of apparent diffusion coefficient (ADC) values and magnetic resonance imaging (MRI)-based radiomics for all recurrences in patients with endometrial carcinoma (EC).
One hundred and seventy-four EC patients who were treated with operation and followed up in our institution were retrospectively reviewed, and the patients were divided into training and test group. Baseline clinicopathological features and mean ADC (ADC), minimum ADC (ADC), and maximum ADC (ADC were analyzed. Radiomic parameters were extracted on T2 weighted images and screened by logistic regression, and then a radiomics signature was developed to calculate the radiomic score (radscore). In training group, Kaplan-Meier analysis was performed and a Cox regression model was used to evaluate the correlation between clinicopathological features, ADC values and radscore with recurrence, and verified in the test group.
ADC showed inverse correlation with recurrence, while radscore was positively associated with recurrence. In univariate analyses, FIGO stage, pathological types, myometrial invasion, ADC, ADC and radscore were associated with recurrence. In the training group, multivariate Cox analysis showed that pathological types, ADC and radscore were independent risk factors for recurrence, which were verified in the test group.
ADC value and radscore were independent predictors of recurrence of EC, which can supplement prognostic information in addition to clinicopathological information and provide basis for individualized treatment and follow-up plan.
为了识别表观扩散系数（ADC）值和磁共振成像（MRI）基于放射组学对子宫内膜癌（EC）所有复发的预测价值。
回顾性分析了在我院接受手术治疗并随访的 174 例 EC 患者，将患者分为训练组和测试组。分析基线临床病理特征、平均 ADC（ADC）、最小 ADC（ADC）和最大 ADC（ADC）。在 T2 加权图像上提取放射组学参数，并通过逻辑回归进行筛选，然后开发放射组学特征以计算放射组学评分（radscore）。在训练组中进行 Kaplan-Meier 分析，并使用 Cox 回归模型评估临床病理特征、ADC 值和 radscore 与复发之间的相关性，并在测试组中进行验证。
ADC 与复发呈负相关，而 radscore 与复发呈正相关。在单因素分析中，FIGO 分期、病理类型、肌层浸润、ADC、ADC 和 radscore 与复发有关。在训练组中，多因素 Cox 分析显示病理类型、ADC 和 radscore 是复发的独立危险因素，在测试组中得到了验证。
ADC 值和 radscore 是 EC 复发的独立预测因子，除了临床病理信息外，还可以补充预后信息，并为个体化治疗和随访计划提供依据。
