Evidence map›Paper›PMID 40313421›Full record

ArticleCurrent urology2025

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 and 5 more

Abstract read
In one paragraph

Article in Current urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Tianyou ZhangDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zijun MoDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jiayu HuangDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jun WangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yiran TaoDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lei YeDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wenwen ZhongDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Bing YaoDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hu QuDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Bo MaDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Dejuan WangDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jiahui MoDepartment of Urology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chunwei YeDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Junying ZhuDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianguang QiuDepartment of Urology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3517-4110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

Benign prostatic hyperplasiaPrediction modelRadiomicsSurgical efficacyTransurethral enucleation of the prostate

Identifiers

PMID40313421
PMCPMC12042196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.