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Management Strategy for Prostate Imaging Reporting and Data System Category 3 Lesions.
Kang, Zhen; Margolis, Daniel J; Wang, Shaogang; Li, Qiubai; Song, Jian; Wang, Liang.
Afiliação
  • Kang Z; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Margolis DJ; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 36 Yong'an Rd, Xicheng District, Beijing, 100016, China.
  • Wang S; Department of Radiology, Weill Cornell Medicine/New York Presbyterian, New York, NY, USA.
  • Li Q; Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Song J; Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Wang L; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Curr Urol Rep ; 24(12): 561-570, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37936016
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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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Próstata Limite: Humans / Male Idioma: En Revista: Curr Urol Rep Assunto da revista: UROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Próstata Limite: Humans / Male Idioma: En Revista: Curr Urol Rep Assunto da revista: UROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China