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Comparison of value of perilesional and intralesional radiomics features for diagnosis of clinically significant prostate cancer |
ZHANG Han1, MAO Ning2, XIE Haizhu2, LI Tianping1, LUO Xunrong1, LI Xianglin1* |
1 School of Medical Imaging, Binzhou Medical University, Yantai 264003, Shandong, P. R. China; 2 Department of Radiology, Yantai Yuhuangding Hospital, Yantai 264000, Shandong, P. R. China |
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Abstract Objective To compare value of perilesional volume (PLV) and intralesional volume (ILV) radiomics features for diagnosis of clinically significant prostate cancer. Methods One hundred and forty patients who received prostate magnetic resonance imaging (MRI) examination (training set 112, testing set 28) was respectively analyzed. ILV and PLV were segmented on T2 weighted imaging (T2WI), apparent diffusion coefficient (ADC) map, dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), respectively. Radiomic features extracted from ILV and PLV were selected via univariate analysis and least absolute shrinkage and selection operator (LASSO) combined with 10-fold cross validation. ILV and PLV prediction models were built based on LASSO regression. Area under receiver operating characteristic curve (AUC) and DeLong test were used to evaluate and compare the models. Results AUC of ILV model in training and testing set were 0.91, 0.91, respectively. AUC of PLV model in training and testing set were 0.89, 0.87, respectively. Prediction ability of two models were not significantly different. Conclusion The value of PLV radiomics features was lower than ILV radiomics features for diagnosis of csPCa. There was no significant difference between them.
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Received: 09 September 2020
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