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Integrating clinical and technological perspectives to enhance predictive modeling in prostate cancer surgery.

作者信息

Chen Shengyi, Fang Yuekun, Cheng Bin

机构信息

Department of Andrology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, China.

Department of Urology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, China.

出版信息

Prostate Cancer Prostatic Dis. 2025 May 6. doi: 10.1038/s41391-025-00978-5.

DOI:10.1038/s41391-025-00978-5
PMID:40328934
Abstract
摘要

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本文引用的文献

1
Feasibility study of AI-assisted multi-parameter MRI diagnosis of prostate cancer.人工智能辅助多参数磁共振成像诊断前列腺癌的可行性研究
Sci Rep. 2025 Mar 27;15(1):10530. doi: 10.1038/s41598-024-84516-8.
2
Prostate MRI and clinicopathologic risk calculator to predict laterality of extraprostatic extension at radical prostatectomy.前列腺MRI与临床病理风险计算器用于预测根治性前列腺切除术中前列腺外扩展的侧别。
Prostate Cancer Prostatic Dis. 2025 Jan 7. doi: 10.1038/s41391-024-00928-7.
3
Comparing Magnetic Resonance Imaging and Prostate-Specific Membrane Antigen-Positron Emission Tomography for Prediction of Extraprostatic Extension of Prostate Cancer and Surgical Guidance: A Prospective Nonrandomized Clinical Trial.
比较磁共振成像和前列腺特异性膜抗原正电子发射断层扫描预测前列腺癌的前列腺外延伸和手术指导：一项前瞻性非随机临床试验。
J Urol. 2024 Aug;212(2):290-298. doi: 10.1097/JU.0000000000004032. Epub 2024 May 24.