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• Clinical Article •
Prediction and risk assessment of benign and malignant prostate lesions based on Bp-MRI radiomics
ZHAO Yingying  FANG Chen  WU Shenglian  XU Wei  ZHENG Pengxiang  ZHENG Weilong  CHEN Zhiqiang 

Cite this article as: Zhao YY, Fang C, Wu SL, et al. Prediction and risk assessment of benign and malignant prostate lesions based on Bp-MRI radiomics[J]. Chin J Magn Reson Imaging, 2022, 13(8): 43-47. DOI:10.12015/issn.1674-8034.2022.08.008.


[Abstract] Objective To explore the diagnosis,differential diagnosis and risk assessment of benign and malignant prostatic lesions based on biparameter magnetic resonance imaging (Bp-MRI) radiomics and clinical information.Materials and Methods A total of 161 patient cases with pathologically proven prostate disease were retrospectively analyzed and randomly divided into training set and verification set in 7∶3 ratio. The t-test /Wilcoxon rank sum test, the least absolute shrinkage and selection operator (LASSO) algorithm, Spearman correlation analysis, and logistic regression model were used to analyze the clinical and radiographic features, and the radiographic model and the joint model were constructed. The performance of the model was evaluated by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Subsequently, the combined nomograms were constructed based on the radiographic and clinical features and verified.Results The AUC of the radiographic model in predicting prostate cancer in the training and validation sets was 0.946 (95% CI: 0.903-0.982) and 0.902 (95% CI: 0.862-0.958). AUC comparable with pooled models was 0.965 (95% CI: 0.904-0.989) and 0.924 (95% CI: 0.868-0.980), respectively.Conclusions Bp-MRI radiomics model has high diagnostic efficiency for prostate cancer (PCa). The combined nomograms that combine total prostate specific antigen (tPSA), free prostate specific antigen (fPSA)/tPSA (f/t), and radiographic features may provide an effective tool for risk prediction and individualized treatment in patients with prostate disease.
[Keywords] biparameter magnetic resonance imaging；radiomics；prostate cancer；diagnostic efficacy；nomogram；prostate specific antigen

ZHAO Yingying1, 2   FANG Chen3   WU Shenglian1   XU Wei1   ZHENG Pengxiang3   ZHENG Weilong1   CHEN Zhiqiang2*  

1 Department of Radiology, Fuqing City Hospital Affiliated to Fujian Medical University, Fuzhou 350000, China

2 Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China

3 Department of Urology, Fuqing City Hospital Affiliated to Fujian Medical University, Fuzhou 350000, China

Chen ZQ, E-mail: zhiqiang_chen99@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Fujian Provincial Health Technology Project (No. 2021QNA067); Key R&D Plan Project of Ningxia Hui Autonomous Region (No. 2019BEG03033); Natural Science Foundation of Ningxia (No. 2022AAC03472).
Received  2022-02-19
Accepted  2022-07-28
DOI: 10.12015/issn.1674-8034.2022.08.008
Cite this article as: Zhao YY, Fang C, Wu SL, et al. Prediction and risk assessment of benign and malignant prostate lesions based on Bp-MRI radiomics[J]. Chin J Magn Reson Imaging, 2022, 13(8): 43-47. DOI:10.12015/issn.1674-8034.2022.08.008.

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