Multimodal radiomics based on 18F-Prostate-specific membrane antigen-1007 PET/CT and multiparametric MRI for prostate cancer extracapsular extension prediction

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...

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Bibliographic Details
Published in:British journal of radiology 2024-02, Vol.97 (1154), p.408-414
Main Authors: Pan, Kehua, Yao, Fei, Hong, Weifeng, Xiao, Juan, Bian, Shuying, Zhu, Dongqin, Yuan, Yaping, Zhang, Yayun, Zhuang, Yuandi, Yang, Yunjun
Format: Article
Language:English
Subjects:
Extranodal Extension
Humans
Magnetic Resonance Imaging - methods
Male
Multiparametric Magnetic Resonance Imaging
Positron Emission Tomography Computed Tomography - methods
Prostate
Prostatic Neoplasms - surgery
Radiomics
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Summary: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. 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. 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 
ISSN:0007-1285
1748-880X
DOI:10.1093/bjr/tqad038