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• Clinical Article •
The value of ADC map and T2WI radiomics analysis of the primary tumor for prediction of bone metastases in prostate cancer
CHEN Fengxi  FENG Junbang  CHENG Jie  WANG Jian  HAN Qi 

Cite this article as: CHEN F X, FENG J B, CHENG J, et al. The value of ADC map and T2WI radiomics analysis of the primary tumor for prediction of bone metastases in prostate cancer[J]. Chin J Magn Reson Imaging, 2023, 14(2): 61-67. DOI:10.12015/issn.1674-8034.2023.02.011.


[Abstract] Objective To investigate the value of prediction model based on apparent diffusion coefficient (ADC) map and T2 weighted imaging (T2WI) unenhanced sequence radiomics of primary tumor in evaluating the bone metastasis in prostate cancer (PCa).Materials and Methods Unenhanced sequence MRI data (ADC map and T2WI) of 178 PCa patients (115/63 without/with bone metastases) confirmed by puncture or surgical pathology from two centers were retrospectively included. Patients from Center 1 were randomized in a 7∶3 ratio into a training group (n=97) and a test group (n=43), and patients from Center 2 (n=38) served as an external validation group. After image resampling, regions of interests (ROIs) were outlined and features were extracted on ADC and T2WI, respectively. Univariate analysis and least absolute shrinkage and selection operator (LASSO) were used for feature screening after consistency testing. Logistic regression analysis was used to construct the radiomics model, and the predictive efficacy of the model was evaluated using the area under the receiver operating characteristic (ROC) curve. The DeLong test was used to compare the models, and the calibration curve was used to evaluate the models.Results Ten and 3 imaging histological features were extracted from ADC and T2WI sequences, respectively, and 5 imaging histological features were extracted from the combined ADC+T2WI sequence for model building. The AUCs of the test group were 0.83 (95% CI: 0.71-0.95), 0.78 (95% CI: 0.62-0.93), and 0.81(95% CI: 0.67-0.95), respectively, and those of the external validation group were 0.82 (95% CI: 0.67-0.97), 0.69 (95% CI: 0.51-0.86), and 0.84 (95% CI: 0.72-0.97), respectively. The DeLong test showed significant difference between ADC+T2WI sequence radiomics model and T2WI single sequence radiomics model in external validation group (P=0.02), others showed no significant difference.Conclusions The ADC map single sequence radiomics models have relatively high predictive efficacy for the bone metastasis of PCa, and showed similar predictive effective compared with the ADC+T2WI combined sequence radiomics model, thus may be helpful to predict the risk of PCa bone metastasis in early stage.
[Keywords] prostate cancer；bone metastases；magnetic resonance imaging；diffusion weighted imaging；apparent diffusion coefficient；radiomics

CHEN Fengxi1   FENG Junbang2   CHENG Jie1   WANG Jian1   HAN Qi1*  

1 Department of Radiology, the Frist Affiliated Hospital of Army Medical University, Chongqing 400038, China

2 Department of Medical Imaging, Chongqing University Central Hospital/Chongqing Emergency Medical Center, Chongqing 400014, China

*Correspondence to: Han Q, E-mail: 410205093@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Key R&D Program of China (No. 2016YFC0107101); 2022 Chongqing Key Clinical Specialty Construction Project (No. CQZDZK007).
Received  2022-10-10
Accepted  2023-01-12
DOI: 10.12015/issn.1674-8034.2023.02.011
Cite this article as: CHEN F X, FENG J B, CHENG J, et al. The value of ADC map and T2WI radiomics analysis of the primary tumor for prediction of bone metastases in prostate cancer[J]. Chin J Magn Reson Imaging, 2023, 14(2): 61-67. DOI:10.12015/issn.1674-8034.2023.02.011.

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