基于MRI的鉴别沃辛瘤与多形性腺瘤的列线图模型:一项回顾性观察研究
A nomogram model based on MRI for discriminating Warthin's tumor from pleomorphic adenomas: a retrospective observational study.
作者信息
Wei Jingyi, Zhong Feiyang, Pan Lai, Wang Shouchao
机构信息
Department of Dentistry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Qingchun Road No.3, Hangzhou, Zhejiang, China.
Nankai University, Tianjin, China.
出版信息
Sci Rep. 2025 Apr 15;15(1):12949. doi: 10.1038/s41598-025-97499-x.
To establish a nomogram model using MRI characteristics for differentiating Warthin's tumors (WT) from pleomorphic adenomas (PA) in parotid gland tumors, aiming to enhance management strategies. A retrospective observational study included patients with histopathologically confirmed WT or PA who underwent preoperative enhanced MRI from 2010 to 2023. Clinical and MRI data were analyzed to identify independent risk factors using multivariable logistic regression. A nomogram was constructed and internally validated using bootstrap resampling. 56 patients (32 WT, 24 PA) were analyzed. Significant differences in gender, age, degree of enhancement, and enhancement pattern were identified. The nomogram based on these factors demonstrated high predictive accuracy with an area under the ROC curve of 0.9909. The nomogram model presents a standardized quantitative method to differentiate WT from PA based on MRI characteristics, potentially improving diagnostic accuracy and patient management in parotid gland tumor diagnosis.
利用MRI特征建立列线图模型,以区分腮腺肿瘤中的沃辛瘤(WT)和多形性腺瘤(PA),旨在加强管理策略。一项回顾性观察研究纳入了2010年至2023年期间接受术前增强MRI检查且组织病理学确诊为WT或PA的患者。分析临床和MRI数据,使用多变量逻辑回归确定独立危险因素。构建列线图并使用自助重采样进行内部验证。分析了56例患者(32例WT,24例PA)。确定了性别、年龄、强化程度和强化方式的显著差异。基于这些因素的列线图显示出较高的预测准确性,ROC曲线下面积为0.9909。列线图模型提供了一种基于MRI特征区分WT和PA的标准化定量方法,可能提高腮腺肿瘤诊断中的诊断准确性和患者管理水平。