Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma
Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma
复制标题
弥散加权成像和动态增强MRI直方图分析预测早期口腔舌鳞状细胞癌隐匿性淋巴结转移
DOI：
10.1007/s00330-021-08310-0
复制
发表时间：
2021-10-12
影响因子：
5.9
通讯作者：
Tao, Xiaofeng
中科院分区：
文献类型：
--
作者：
Ren, Jiliang;Yuan, Ying;Tao, Xiaofeng
ObjectivesTo investigate the feasibility of whole-tumor histogram analysis of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI for predicting occult lymph node metastasis (LNM) in early-stage oral tongue squamous cell cancer (OTSCC).Materials and methodsThis retrospective study included 55 early-stage OTSCC (cT1-2N0M0) patients; 34 with pathological LNM and 21 without. Eight whole-tumor histogram features were extracted from quantitative apparent diffusion coefficient (ADC) maps and two semi-quantitative DCE parametric maps (wash-in and wash-out). The clinicopathological factors and histogram features were compared between the two groups. Stepwise logistic regression was used to identify independent predictors. Receiver operating characteristic curves were generated to assess the performances of significant variables and a combined model for predicting occult LNM.ResultsMRI-determined depth of invasion and ADCentropywas significantly higher in the LNM group, with respective areas under the curve (AUCs) of 0.67 and 0.69, and accuracies of 0.73 and 0.73. ADC10th. ADCuniformityand wash-inskewnesswere significantly lower in the LNM group, with respective AUCs of 0.68, 0.71, and 0.69, and accuracies of 0.65, 0.71, and 0.64. Histogram features from wash-out maps were not significantly associated with cervical node status. In the logistic regression analysis, ADC10th, ADCuniformity,and wash-inskewnesswere independent predictors. The combined model yielded the best predictive performance, with an AUC of 0.87 and an accuracy of 0.82.ConclusionsWhole-tumor histogram analysis of ADC and wash-in maps is a feasible tool for preoperative evaluation of cervical node status in early-stage OTSCC.Key Points• Histogram analysis of parametric maps from DWI and DCE-MRI may assist the prediction of occult LNM in early-stage OTSCC.• ADC10th, ADCuniformity, and wash-inskewnesswere independent predictors.• The combined model exhibited good predictive performance, with an accuracy of 0.82.
