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基于早期磁共振成像的前列腺癌检测中的风险分层与人工智能。

Risk Stratification and Artificial Intelligence in Early Magnetic Resonance Imaging-based Detection of Prostate Cancer.

机构信息

Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

Department of Development and Regeneration, University Hospital KU Leuven, Leuven, Belgium.

出版信息

Eur Urol Focus. 2022 Sep;8(5):1187-1191. doi: 10.1016/j.euf.2021.11.005. Epub 2021 Dec 23.

Abstract

Magnetic resonance imaging (MRI) has transformed the diagnostic pathway for prostate cancer and now plays an upfront role before prostate biopsies. If a suspicious lesion is found on MRI, the subsequent biopsy can be targeted. A sharp increase is expected in the number of men who will undergo prostate MRI. The challenge is to provide good image quality and diagnostic accuracy while meeting the demands of the expected higher workload. A possible solution to this challenge is to include a suitable risk stratification tool before imaging. Other solutions, such as smarter and shorter MRI protocols, need to be explored. For most of these solutions, artificial intelligence (AI) can play an important role. AI applications have the potential to improve the diagnostic quality of the prostate MRI pathway and speed up the work. PATIENT SUMMARY: The use of prostate magnetic resonance imaging (MRI) for diagnosis of prostate cancer is increasing. Risk stratification of patients before imaging and the use of shorter scan protocols can help in managing MRI resources. Artificial intelligence can also play a role in automating some tasks.

摘要

磁共振成像(MRI)改变了前列腺癌的诊断途径,现在在前列腺活检之前就发挥了重要作用。如果在 MRI 上发现可疑病变,随后的活检可以有针对性地进行。预计将有更多的男性接受前列腺 MRI 检查。挑战在于在满足预期更高工作量的需求的同时,提供高质量的图像和诊断准确性。解决这一挑战的一个可能方法是在成像前使用合适的风险分层工具。还需要探索其他解决方案,例如更智能和更短的 MRI 方案。对于这些解决方案中的大多数,人工智能(AI)都可以发挥重要作用。AI 应用程序有可能提高前列腺 MRI 途径的诊断质量并加快工作速度。

患者总结

前列腺磁共振成像(MRI)用于诊断前列腺癌的应用正在增加。在成像前对患者进行风险分层和使用较短的扫描方案有助于管理 MRI 资源。人工智能也可以在自动化某些任务方面发挥作用。

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