Cheng Jin-Mei, Luo Wei-Xiao, Tan Bang-Guo, Pan Jian, Zhou Hai-Ying, Chen Tian-Wu
Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Department of Radiology, Panzhihua Central Hospital, Panzhihua, Sichuan, China.
Front Oncol. 2023 Jun 19;13:1206659. doi: 10.3389/fonc.2023.1206659. eCollection 2023.
To investigate the value of apparent diffusion coefficient (ADC) histogram analysis based on whole tumor volume for the preoperative prediction of lymphovascular space invasion (LVSI) in patients with stage IB-IIA cervical cancer.
Fifty consecutive patients with stage IB-IIA cervical cancer were stratified into LVSI-positive (n = 24) and LVSI-negative (n = 26) groups according to the postoperative pathology. All patients underwent pelvic 3.0T diffusion-weighted imaging with b-values of 50 and 800 s/mm preoperatively. Whole-tumor ADC histogram analysis was performed. Differences in the clinical characteristics, conventional magnetic resonance imaging (MRI) features, and ADC histogram parameters between the two groups were analyzed. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ADC histogram parameters in predicting LVSI.
ADC, ADC, ADC, ADC, and ADC were significantly lower in the LVSI-positive group than in the LVSI-negative group (all -values < 0.05), whereas no significant differences were reported for the remaining ADC parameters, clinical characteristics, and conventional MRI features between the groups (all -values > 0.05). For predicting LVSI in stage IB-IIA cervical cancer, a cutoff ADC of 1.75×10 mm/s achieved the largest area under ROC curve (A) of 0.750, followed by a cutoff ADC of 1.36×10 mm/s and ADC of 1.75×10 mm/s (A = 0.748 and 0.729, respectively), and the cutoff ADC and ADC achieved an A of <0.70.
Whole-tumor ADC histogram analysis has potential value for preoperative prediction of LVSI in patients with stage IB-IIA cervical cancer. ADC, ADC and ADC are promising prediction parameters.
探讨基于全肿瘤体积的表观扩散系数（ADC）直方图分析在IB-IIA期宫颈癌患者术前预测淋巴管血管间隙浸润（LVSI）中的价值。
50例连续的IB-IIA期宫颈癌患者根据术后病理分为LVSI阳性组（n = 24）和LVSI阴性组（n = 26）。所有患者术前均接受盆腔3.0T扩散加权成像，b值分别为50和800 s/mm²。进行全肿瘤ADC直方图分析。分析两组患者的临床特征、传统磁共振成像（MRI）特征及ADC直方图参数的差异。采用受试者工作特征（ROC）分析评估ADC直方图参数预测LVSI的诊断性能。
LVSI阳性组的ADC、ADC、ADC、ADC和ADC显著低于LVSI阴性组（所有P值<0.05），而两组间其余ADC参数、临床特征和传统MRI特征差异均无统计学意义（所有P值>0.05）。对于预测IB-IIA期宫颈癌的LVSI，截断值为1.75×10⁻³mm²/s的ADC获得的ROC曲线下面积（AUC）最大，为0.750，其次是截断值为1.36×10⁻³mm²/s的ADC和1.75×10⁻³mm²/s的ADC（AUC分别为0.748和0.729），截断值为ADC和ADC的AUC<0.70。
全肿瘤ADC直方图分析在IB-IIA期宫颈癌患者术前预测LVSI方面具有潜在价值。ADC、ADC和ADC是有前景的预测参数。
