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DOI 10.1186/s40779-025-00621-3

Медицинская библиотека · Military Medical Research · 2025

Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.

Shi Ming-Jun, Wang Zhi-Xiang, Wang Shuang-Kun, Li Xuan-Hao, Zhang Yan-Lin, Yan Ying, An Ran, Dong Li-Ning, Qiu Lei, Tian Tian, Liu Jia-Xin, Song Hong-Chen, Wang Ya-Fan, Deng Che, Cao Zi-Bing, Wang Hong-Yin, Wang Zheng, Wei Wei, Song Jian, Lu Jian, Wei Xuan, Wang Zhen-Chang

СтатьяМногоцентровое исследованиеПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate cancer (PCa) detection, yet decisions on invasive biopsy with moderate prostate imaging reporting and data system (PI-RADS) scores remain ambiguous.

METHODS

To explore the decision-making capacity of Generative Pretrained Transformer-4 (GPT-4) for automated prostate biopsy recommendations, we included 2299 individuals who underwent prostate biopsy from 2018 to 2023 in 3 large medical centers, with available mpMRI before biopsy and documented clinical-histopathological records. GPT-4 generated structured reports with given prompts. The performance of GPT-4 was quantified using confusion matrices, and sensitivity, specificity, as well as area under the curve were calculated. Multiple artificial evaluation procedures were conducted. Wilcoxon's rank sum test, Fisher's exact test, and Kruskal-Wallis tests were used for comparisons.

RESULTS

Utilizing the largest sample size in the Chinese population, patients with moderate PI-RADS scores (scores 3 and 4) accounted for 39.7% (912/2299), defined as the subset-of-interest (SOI). The detection rates of clinically significant PCa corresponding to PI-RADS scores 2-5 were 9.4, 27.3, 49.2, and 80.1%, respectively. Nearly 47.5% (433/912) of SOI patients were histopathologically proven to have undergone unnecessary prostate biopsies. With the assistance of GPT-4, 20.8% (190/912) of the SOI population could avoid unnecessary biopsies, and it performed even better [28.8% (118/410)] in the most heterogeneous subgroup of PI-RADS score 3. More than 90.0% of GPT-4 -generated reports were comprehensive and easy to understand, but less satisfied with the accuracy (82.8%). GPT-4 also demonstrated cognitive potential for handling complex problems. Additionally, the Chain of Thought method enabled us to better understand the decision-making logic behind GPT-4. Eventually, we developed a ProstAIGuide platform to facilitate accessibility for both doctors and patients.

CONCLUSIONS

This multi-center study highlights the clinical utility of GPT-4 for prostate biopsy decision-making and advances our understanding of the latest artificial intelligence implementation in various medical scenarios.

Для цитирования: Shi Ming-Jun, Wang Zhi-Xiang, Wang Shuang-Kun, Li Xuan-Hao, Zhang Yan-Lin, Yan Ying, An Ran, Dong Li-Ning, Qiu Lei, Tian Tian, Liu Jia-Xin, Song Hong-Chen, Wang Ya-Fan, Deng Che, Cao Zi-Bing, Wang Hong-Yin, Wang Zheng, Wei Wei, Song Jian, Lu Jian, Wei Xuan, Wang Zhen-Chang. Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.. Military Medical Research. 2025. DOI: 10.1186/s40779-025-00621-3.

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