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Updated: Jun 14, 2026

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从多参数MRI获得人工智能衍生的瘤体积和局部前列腺癌的结果.

David D Yang1, Leslie K Lee1, James M G Tsui1

  • 1From the Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, 75 Francis St, Boston, MA 02115 (D.D.Y., J.E.L., A.S., C.V.G., K.W.M., N.E.M., P.F.O., P.L.N., A.V.D., K.Y.S., K.N.L., M.T.K.); Departments of Radiology (L.K.L.) and Urology (Q.D.T.), Brigham and Women's Hospital, Boston, Mass; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Ma (H.M.M., M.E.T.); and Department of Radiation Oncology, McGill University, Montreal, Canada (J.M.G.T.).

Radiology
|October 29, 2024
PubMed
概括

人工智能 (AI) 对前列腺内瘤体积 (VAI) 的细分提供了局部前列腺癌的预后价值. 这种基于人工智能的方法可以独立预测放射治疗或激进前列腺切除术治疗的患者的转移风险.

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Imaging Studies IV: Magnetic Resonance Imaging01:27

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...