Nowier Amr, Mazhar Hesham, Salah Rasha, Shabayek Mohamed
Department of Urology, Faculty of Medicine Ain-Shams University, Cairo, Egypt.
Department of Radiology, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.
Arab J Urol. 2022 Apr 24;20(3):121-125. doi: 10.1080/2090598X.2022.2067615. eCollection 2022.
Use of multi-parametric magnetic resonance imaging (mp-MRI) and Prostate Imaging Reporting and Data System (PI-RADS) scoring system allowed more precise detection of prostate cancer (PCa). Our study aimed at evaluating the diagnostic performance of mp-MRI in detection of PCa.
Eighty-six patients suspected to have prostate cancer were enrolled. All patients underwent mp-MRI followed by systematic and targeted trans-rectal ultrasound (TRUS) guided prostate biopsies. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of mp-MRI were evaluated.
Forty-six patients (53.5%) had prostate cancer on targeted and systematic TRUS biopsies. On mp-MRI, 96.6% of lesions with PI-RADS < 3 revealed to be benign by TRUS biopsy, 73.3% of lesions with PI-RADS 4 showed ISUP grades ≥1, whereas all PI-RADS 5 lesions showed high ISUP grades ≥ 3. For PI-RADS 3 lesions, 62.5% of them revealed to be benign and 37.5% showed ISUP grades ≥1 by TRUS biopsy. PI-RADS scores ˃3 had 69.57% sensitivity and 85% specificity for detection of PCa. On adding the equivocal PI-RADS 3 lesions, PI-RADS scores ≥3 had higher sensitivity (97.83%), but at the cost of lower specificity (32.5%).
Mp-MRI using PI-RADS V2 scoring system categories ≤3 and >3 could help in detection of PCa. PI-RADS 3 lesions are equivocal. Including PI-RADS lesions ≥3 demonstrated higher sensitivity, but at the cost of lower specificity for mp-MRI in diagnosis for Pca.
CDR: cancer detection rates; DRE: digital rectal examination; ISUP: international society of urological pathology; mp-MRI: multi-parametric magnetic resonance imaging; NPV: negative predictive value; PCa: prosatate cancer; PI-RADS: Prostate Imaging Reporting and Data System; PPV: Positive predictive value; PSA: prostate specific antigen; TRUS: transrectal ultrasound.
多参数磁共振成像(mp-MRI)和前列腺影像报告和数据系统(PI-RADS)评分系统的应用使得前列腺癌(PCa)的检测更加精确。我们的研究旨在评估mp-MRI在检测PCa方面的诊断性能。
纳入86例疑似前列腺癌的患者。所有患者均接受mp-MRI检查,随后进行系统和靶向经直肠超声(TRUS)引导下的前列腺活检。评估mp-MRI的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和准确性。
46例患者(53.5%)在靶向和系统TRUS活检中被诊断为前列腺癌。在mp-MRI上,PI-RADS<3的病变中96.6%经TRUS活检显示为良性,PI-RADS 4的病变中有73.3%显示国际泌尿病理学会(ISUP)分级≥1,而所有PI-RADS 5的病变均显示ISUP分级≥3。对于PI-RADS 3的病变,经TRUS活检62.5%显示为良性,37.5%显示ISUP分级≥1。PI-RADS评分>3对PCa检测的敏感性为69.57%,特异性为85%。加上可疑的PI-RADS 3病变后,PI-RADS评分≥3的敏感性更高(97.83%),但特异性较低(32.5%)。
使用PI-RADS V2评分系统将mp-MRI分为≤3和>3类别有助于检测PCa。PI-RADS 3的病变存在疑问。将PI-RADS病变≥3纳入后,mp-MRI诊断PCa的敏感性更高,但特异性较低。
CDR:癌症检测率;DRE:直肠指检;ISUP:国际泌尿病理学会;mp-MRI:多参数磁共振成像;NPV:阴性预测值;PCa:前列腺癌;PI-RADS:前列腺影像报告和数据系统;PPV:阳性预测值;PSA:前列腺特异性抗原;TRUS:经直肠超声