Management Strategy for Prostate Imaging Reporting and Data System Category 3 Lesions.

IF 2.5 2区 医学 Q2 UROLOGY & NEPHROLOGY Current Urology Reports Pub Date : 2023-12-01 Epub Date: 2023-11-08 DOI:10.1007/s11934-023-01187-0
Zhen Kang, Daniel J Margolis, Shaogang Wang, Qiubai Li, Jian Song, Liang Wang
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Abstract

Purpose of review: Prostate Imaging Reporting and Data System (PI-RADS) category 3 lesions present a clinical dilemma due to their uncertain nature, which complicates the development of a definitive management strategy. These lesions have an incidence rate of approximately 22-32%, with clinically significant prostate cancer (csPCa) accounting for about 10-30%. Therefore, a thorough evaluation is warranted.

Recent findings: This review highlights the need for radiology peer review, including the confirmation of dynamic contrast-enhanced (DCE) compliance, as the initial step. Additional MRI models such as VERDICT or Tofts need to be verified. Current evidence shows that imaging and clinical indicators can be used for risk stratification of PI-RADS 3 lesions. For low-risk lesions, a safety net monitoring approach involving annual repeat MRI can be employed. In contrast, lesions deemed potentially risky based on prostate-specific antigen density (PSAD), 68 Ga-PSMA PET/CT, MPS, Proclarix, or AI/machine learning models should undergo biopsy. It is recommended to establish a multidisciplinary team that takes into account factors such as age, PSAD, prostate, and lesion size, as well as previous biopsy pathological findings. Combining expert opinions, clinical-imaging indicators, and emerging methods will contribute to the development of management strategies for PI-RADS 3 lesions.

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前列腺成像报告和数据系统3类病变的管理策略。
综述目的:前列腺成像报告和数据系统(PI-RADS)3类病变由于其不确定的性质而呈现出临床困境,这使最终管理策略的制定变得复杂。这些病变的发病率约为22-32%,具有临床意义的癌症(csPCa)约占10-30%。因此,有必要进行彻底的评估。最近的发现:这篇综述强调了放射学同行评审的必要性,包括确认动态对比增强(DCE)依从性,作为第一步。需要验证其他MRI模型,如VERDICT或Tofts。目前的证据表明,影像学和临床指标可用于PI-RADS 3病变的风险分层。对于低风险病变,可以采用包括每年重复MRI的安全网监测方法。相反,根据前列腺特异性抗原密度(PSAD)、68 Ga PSMA PET/CT、MPS、Proclarix或AI/机器学习模型被认为具有潜在风险的病变应进行活检。建议成立一个多学科团队,考虑年龄、PSAD、前列腺和病变大小等因素,以及以前的活检病理结果。结合专家意见、临床影像学指标和新兴方法将有助于制定PI-RADS 3病变的管理策略。
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来源期刊
Current Urology Reports
Current Urology Reports UROLOGY & NEPHROLOGY-
CiteScore
4.60
自引率
3.80%
发文量
39
期刊介绍: This journal intends to review the most important, recently published findings in the field of urology. By providing clear, insightful, balanced contributions by international experts, the journal elucidates current and emerging approaches to the care and prevention of urologic diseases and conditions. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as benign prostatic hyperplasia, erectile dysfunction, female urology, and kidney disease. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
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