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

TitleManagement Strategy for Prostate Imaging Reporting and Data System Category 3 Lesions.
Publication TypeJournal Article
Year of Publication2023
AuthorsKang Z, Margolis DJ, Wang S, Li Q, Song J, Wang L
JournalCurr Urol Rep
Volume24
Issue12
Pagination561-570
Date Published2023 Dec
ISSN1534-6285
KeywordsHumans, Image-Guided Biopsy, Magnetic Resonance Imaging, Male, Positron Emission Tomography Computed Tomography, Prostate, Prostatic Neoplasms, Retrospective Studies
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.

DOI10.1007/s11934-023-01187-0
Alternate JournalCurr Urol Rep
PubMed ID37936016
PubMed Central ID5937636
Grant List82071887, 81671656 / / National Natural Science Foundation of China /

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065