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• Clinical Article •
Radiomics features of sub-attention region on the diagnosis of the extracapsular extension of the prostate cancer on magnetic resonance imaging
ZHANG Yihong  HOU Ying  BAO Jie  WANG Chenglong  SONG Yang  ZHANG Yudong  YANG Guang 

Cite this article as: Zhang YH, Hou Y, Bao J, et al. Radiomics features of sub-attention region on the diagnosis of the extracapsular extension of the prostate cancer on magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2021, 12(12): 39-43, 66. DOI:10.12015/issn.1674-8034.2021.12.008.


[Abstract] Objective Extract radiomics features from the sub-regions of the generated attention region on magnetic resonance images to help diagnose the extracapsular extension (ECE) of the prostate cancer. Materials and Methods: Seven hundred and eighteen cases with prostate cancer diagnosis including T2 weighted images and apparent diffusion coefficient maps were selected in this study, and divided into 574 training cases and 144 test cases. An attention ROI was generated according to the ROIs of the prostate gland and the prostate cancer lesion. Further, sub-regions of the attention ROI were split into the background, prostate gland and lesion to be used for feature extraction. Radiomics models were built based on features from prostate gland (ModelPro), prostate cancer (ModelPCa), attention ROI (ModelAtt), and sub-regions of attention ROI (ModelRegion), respectively. The area under the receiver operating characteristic (ROC) curve (AUC), confusion matrix and the decision analysis curve were used for statistical analysis.Results The AUCs of the ModelPro were 0.740 and 0.746, and that of ModelPCa were 0.742 and 0.755 on the training and the test cohorts, respectively. The AUC of ModelAtt was higher and was achieved of 0.732 and 0.766 on the training and test cohorts. Compared to the above models, ModelRegion performed best to achieved an AUC of 0.794 and 0.792 on the training and test cohorts.Conclusion The radiomics model based on the attention ROI and the sub-regions performed more accurately than the usual prostate gland and cancer lesion, and could provide aids in the ECE diagnosis in the clinics.
[Keywords] radiomics；magnetic resonance imaging；prostate cancer；extracapsular extension；attention region of interest

ZHANG Yihong1   HOU Ying2   BAO Jie3   WANG Chenglong1   SONG Yang1*   ZHANG Yudong2   YANG Guang1  

1 Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China

2 Department of Radiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China

3 Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China

Song Y, E-mail: songyangmri@gmail.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Found of China (No. 61731009); Sponsored by Shanghai Pujiang Program (No. 2020PJD016).
Received  2021-06-09
Accepted  2021-11-10
DOI: 10.12015/issn.1674-8034.2021.12.008
Cite this article as: Zhang YH, Hou Y, Bao J, et al. Radiomics features of sub-attention region on the diagnosis of the extracapsular extension of the prostate cancer on magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2021, 12(12): 39-43, 66. DOI:10.12015/issn.1674-8034.2021.12.008.

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