医学
无线电技术
接收机工作特性
前列腺癌
逻辑回归
多参数磁共振成像
磁共振成像
PET-CT
放射科
核医学
癌症
计算机断层摄影术
内科学
作者
Kehua Pan,Fei Yao,Weifeng Hong,Juan Xiao,Shuying Bian,Dongqin Zhu,Yaping Yuan,Yayun Zhang,Yuandi Zhuang,Yunjun Yang
出处
期刊:British Journal of Radiology
[British Institute of Radiology]
日期:2023-12-13
卷期号:97 (1154): 408-414
摘要
Abstract Objectives To compare the performance of the multiparametric magnetic resonance imaging (mpMRI) radiomics and 18F-Prostate-specific membrane antigen (PSMA)-1007 PET/CT radiomics model in diagnosing extracapsular extension (EPE) in prostate cancer (PCa), and to evaluate the performance of a multimodal radiomics model combining mpMRI and PET/CT in predicting EPE. Methods We included 197 patients with PCa who underwent preoperative mpMRI and PET/CT before surgery. mpMRI and PET/CT images were segmented to delineate the regions of interest and extract radiomics features. PET/CT, mpMRI, and multimodal radiomics models were constructed based on maximum correlation, minimum redundancy, and logistic regression analyses. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and indices derived from the confusion matrix. Results AUC values for the mpMRI, PET/CT, and multimodal radiomics models were 0.85 (95% CI, 0.78-0.90), 0.73 (0.64-0.80), and 0.83 (0.75-0.89), respectively, in the training cohort and 0.74 (0.61-0.85), 0.62 (0.48-0.74), and 0.77 (0.64-0.87), respectively, in the testing cohort. The net reclassification improvement demonstrated that the mpMRI radiomics model outperformed the PET/CT one in predicting EPE, with better clinical benefits. The multimodal radiomics model performed better than the single PET/CT radiomics model (P < .05). Conclusion The mpMRI and 18F-PSMA-PET/CT combination enhanced the predictive power of EPE in patients with PCa. The multimodal radiomics model will become a reliable and robust tool to assist urologists and radiologists in making preoperative decisions. Advances in knowledge This study presents the first application of multimodal radiomics based on PET/CT and MRI for predicting EPE.
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