Yilmaz Enis C, Esengur Omer Tarik, Gelikman David G, Turkbey Baris
Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Semin Ultrasound CT MR. 2025 Feb;46(1):2-30. doi: 10.1053/j.sult.2024.11.001. Epub 2024 Nov 22.
Prostate magnetic resonance imaging (MRI) is an essential tool in the diagnostic pathway for prostate cancer. However, its accuracy can be confounded by a spectrum of noncancerous entities with similar radiological features, posing a challenge for definitive diagnosis. This review synthesizes current knowledge on the MRI phenotypes of both common and rare benign prostate conditions that may be mistaken for malignancy. The narrative encompasses anatomical variants, other neoplastic processes, inflammatory conditions, and alterations secondary to medical interventions. Furthermore, this review underscores the critical role of MRI quality in diagnostic accuracy and explores the emerging contributions of artificial intelligence in enhancing image interpretation.
前列腺磁共振成像(MRI)是前列腺癌诊断流程中的一项重要工具。然而,其准确性可能会受到一系列具有相似放射学特征的非癌性病变的干扰,这对明确诊断构成了挑战。本综述综合了关于可能被误诊为恶性肿瘤的常见和罕见良性前列腺疾病的MRI表型的现有知识。内容涵盖解剖变异、其他肿瘤性病变、炎症性疾病以及医疗干预引起的继发性改变。此外,本综述强调了MRI质量在诊断准确性中的关键作用,并探讨了人工智能在增强图像解读方面的新贡献。