인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Multiparametric MRI (mpMRI) enhances prostate cancer (PCa) detection, especially when combined with targeted or MRI–ultrasound fusion biopsy. However, PI-RADS 3 lesions remain diagnostically indeterminate, with variable malignancy risk and heterogeneous clinical management. This study aims to identify clinical and radiological predictors of PCa and clinically significant PCa (csPCa) in patients with PI-RADS 3 lesions in order to enhance risk stratification. By disentangling patient- and disease-specific characteristics from imaging findings, the study evaluates their independent prognostic value. The primary objective is to validate non-imaging parameters as reliable tools for risk stratification in indeterminate cases, thereby supporting clinical decision-making when radiological assessment alone is inconclusive. In this retrospective cohort study, 671 patients with 981 PI-RADS 3 lesions underwent mpMRI and MRI–ultrasound fusion-guided transrectal biopsy, including both targeted and systematic cores. Histopathological evaluation was based on ISUP grading. Logistic regression models were used to assess associations between clinical/radiological factors and biopsy outcomes. Overall cancer detection per lesion was 36.9%, with csPCa detected in 15.8% of lesions and 42.8% of positive biopsies. PSA density emerged as the strongest predictor of both PCa and csPCa, while prostate volume was inversely associated. csPCa was more commonly found in patients undergoing primary biopsy and those with posterior lesion localization. In selected low-risk groups, csPCa detection was rare, suggesting potential to avoid unnecessary biopsies, with specificity reaching up to 90%. Overlapping benign conditions and interobserver variability contribute to uncertainty in the interpretation of PI-RADS 3 lesions with regard to the indication for biopsy. PSA density and clinical context support risk-adapted decision-making, aligning with current guideline recommendations. A personalized approach is recommended to balance the risks of under- and overdiagnosis in managing PI-RADS 3 lesions.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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