Mehammed Abdudin Heru, Worke Alemayehu Bedane, Buser Ashenafi Aberra, Issa Semira Abrar, Menna Takele, Legesse Tesfaye Kebede, Kebede Assefa Getachew
Department of Radiology and Medical Radiologic Technology, School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Department of Radiology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Ethiop J Health Sci. 2024 Oct;34(Spec Iss 1):23-30. doi: 10.4314/ejhs.v34i1.5S.
Prostate cancer is a leading cause of cancer-related mortality among men, second only to lung cancer. Prostate magnetic resonance imaging (MRI) utilizing the Prostate Imaging and Reporting Data System (PI-RADS) v2.1 scoring system effectively stratifies patients by risk and correlates significantly with histopathological outcomes. This study aimed to assess the positive predictive value (PPV) of high-grade PI-RADS v2.1 MRI findings and their correlation with histopathological results from biopsies in patients visiting the interventional radiology unit at St. Paul's Hospital Millennium Medical College (SPHMMC).
A facility-based cross-sectional study was conducted involving patients referred to the SPHMMC interventional radiology unit with high-grade PI-RADS v2.1 MRI findings who underwent TRUS-guided prostate biopsy between January 2023 and April 2024.
Among 105 patients, the PPV was 94.5% for a PI-RADS v2.1 score of 5 and 51.5% for a score of 4. These findings underscore the predictive power of high-grade PI-RADS scores, particularly for score 5 lesions, aiding clinicians in decision-making for further investigations and treatment. Significant correlations were observed between MRI characteristics-such as ill-defined margins, larger size, and extraprostatic extension- and high-grade PI-RADS scores in the peripheral zone (p<0.01).
High-grade PI-RADS v2.1 scores exhibit strong positive predictive value for detecting prostate cancer, emphasizing the essential role of multiparametric MRI in diagnosis. Integrating multiparametric MRI findings with clinical and laboratory data can further enhance patient care and outcomes.
前列腺癌是男性癌症相关死亡的主要原因之一,仅次于肺癌。利用前列腺影像报告和数据系统(PI-RADS)v2.1评分系统的前列腺磁共振成像(MRI)能够有效地根据风险对患者进行分层,并且与组织病理学结果显著相关。本研究旨在评估圣保罗医院千禧医学院(SPHMMC)介入放射科就诊患者中,PI-RADS v2.1 MRI高级别表现的阳性预测值(PPV)及其与活检组织病理学结果的相关性。
开展了一项基于机构的横断面研究,纳入2023年1月至2024年4月期间因PI-RADS v2.1 MRI高级别表现转诊至SPHMMC介入放射科并接受经直肠超声引导下前列腺活检的患者。
在105例患者中,PI-RADS v2.1评分为5时的PPV为94.5%,评分为4时的PPV为51.5%。这些结果强调了PI-RADS高级别评分的预测能力,尤其是对于5分病变,有助于临床医生进行进一步检查和治疗的决策。在外周区,MRI特征(如边界不清、体积较大和前列腺外侵犯)与PI-RADS高级别评分之间存在显著相关性(p<0.01)。
PI-RADS v2.1高级别评分在检测前列腺癌方面具有很强的阳性预测价值,强调了多参数MRI在诊断中的重要作用。将多参数MRI结果与临床和实验室数据相结合可进一步提高患者护理质量和治疗效果。