Clinical-radiomics combination model for predicting the short-term efficacy of bipolar transurethral enucleation of the prostate in patients with benign prostatic hyperplasia

Tianyou Zhang , Zijun Mo , Jiayu Huang , Jun Wang , Yiran Tao , Lei Ye , Wenwen Zhong , Bing Yao , Hu Qu , Bo Ma , Dejuan Wang , Jiahui Mo , Chunwei Ye , Junying Zhu , Jianguang Qiu

Current Urology ›› 2025, Vol. 19 ›› Issue (1) : 30 -38.

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Current Urology ›› 2025, Vol. 19 ›› Issue (1) :30 -38. DOI: 10.1097/CU9.0000000000000256
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Clinical-radiomics combination model for predicting the short-term efficacy of bipolar transurethral enucleation of the prostate in patients with benign prostatic hyperplasia
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Abstract

Background: Bipolar transurethral enucleation of the prostate (B-TUEP) is a well-established surgical treatment for benign prostatic hyperplasia (BPH); however, its efficacy may vary depending on patient characteristics. Magnetic resonance imaging (MRI) with radiomics analysis can offer comprehensive and quantitative information about prostate characteristics that may relate to surgical outcomes. This study aimed to explore the value of MRI and radiomics analysis in predicting the short-term efficacy of B-TUEP for BPH.

Materials and methods: A total of 137 patients with BPH who underwent B-TUEP at 2 institutions were included. Radiological features were measured in the MRIs, and the radiomics score was developed from 1702 radiomics features extracted from the prostate and transitional zone regions of interest. Three prediction models were developed and validated based on clinical-radiological features, radiomic features, and their combinations. The models were evaluated using the area under the receiver operating characteristic curve, calibration curve, and decision curve analysis.

Results: The combination model exhibited the highest area under curve in both the training set (0.838) and the external validation set (0.802), indicating superior predictive performance and robustness. Furthermore, the combination model demonstrated good calibration (p > 0.05) and optimal clinical utility. The combination model indicated that a higher maximum urine flow rate, lower transitional zone index, and higher radiomics score were associated with an increased risk of poor efficacy.

Conclusions: Magnetic resonance imaging with radiomic analysis can offer valuable insights for predicting the short-term efficacy of B-TUEP in patients with BPH. A combination model based on clinical and radiomics features can assist urologists in making more precise clinical decisions.

Keywords

Benign prostatic hyperplasia / Radiomics / Prediction model / Surgical efficacy / Transurethral enucleation of the prostate

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Tianyou Zhang, Zijun Mo, Jiayu Huang, Jun Wang, Yiran Tao, Lei Ye, Wenwen Zhong, Bing Yao, Hu Qu, Bo Ma, Dejuan Wang, Jiahui Mo, Chunwei Ye, Junying Zhu, Jianguang Qiu. Clinical-radiomics combination model for predicting the short-term efficacy of bipolar transurethral enucleation of the prostate in patients with benign prostatic hyperplasia. Current Urology, 2025, 19(1): 30-38 DOI:10.1097/CU9.0000000000000256

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Acknowledgments

None.

Statement of ethics

This study was conducted following approval from the Institutional Committee of the Sixth Affiliation Hospital of Sun Yat-sen University and the Institutional Committee of the Second Affiliated Hospital of Kunming Medical University. Given its retrospective nature, the necessity for obtaining informed consent from patients was waived. All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Conflict of interest statement

The authors declare that they have no conflicts of interest.

Funding source

This study was supported by a grant from the Basic and Applied Basic Research Foundation of Guangdong Province, China (grant no. 2019A1515010386).

Author contributions

TZ: Research design, data analysis and original draft writing;

ZM, JH: Data collection and analysis;

JW: performance of research;

YT, LY, WZ, BY, BM, JM: Providing resource and data collection;

HQ, DW: Project administration;

CY, JZ: Supervision and review;

JQ: Research design and editing.

Data availability

We would like to share the data collected for this study to investigators for individual participant data meta-analysis, including individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices). Data availability begins 9 months following article publication and ends 36 months following article publication. Proposals should be directed to qiujg@mail.sysu.edu.cn. To gain access, data requestors will need to sign a data access agreement.

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