Greer Matthew D, Shih Joanna H, Lay Nathan, Barrett Tristan, Bittencourt Leonardo, Borofsky Samuel, Kabakus Ismail, Law Yan Mee, Marko Jamie, Shebel Haytham, Merino Maria J, Wood Bradford J, Pinto Peter A, Summers Ronald M, Choyke Peter L, Turkbey Baris
Molecular Imaging Program, National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bethesda, MD 20892.
Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA.
AJR Am J Roentgenol. 2019 Jun;212(6):1197-1205. doi: 10.2214/AJR.18.20536. Epub 2019 Mar 27.
The purpose of this study was to evaluate agreement among radiologists in detecting and assessing prostate cancer at multiparametric MRI using Prostate Imaging Reporting and Data System version 2 (PI-RADSv2). Treatment-naïve patients underwent 3-T multipara-metric MRI between April 2012 and June 2015. Among the 163 patients evaluated, 110 underwent prostatectomy after MRI and 53 had normal MRI findings and transrectal ultrasound-guided biopsy results. Nine radiologists participated (three each with high, intermediate, and low levels of experience). Readers interpreted images of 58 patients on average (range, 56-60) using PI-RADSv2. Prostatectomy specimens registered to MRI were ground truth. Interob-server agreement was evaluated with the index of specific agreement for lesion detection and kappa and proportion of agreement for PI-RADS category assignment. The radiologists detected 336 lesions. Sensitivity for index lesions was 80.9% (95% CI, 75.1-85.9%), comparable across reader experience ( = 0.392). Patient-level specificity was experience dependent; highly experienced readers had 84.0% specificity versus 55.2% for all others ( < 0.001). Interobserver agreement was excellent for detecting index lesions (index of specific agreement, 0.871; 95% CI, 0.798-0.923). Agreement on PI-RADSv2 category assignment of index lesions was moderate (κ = 0.419; 95% CI, 0.238-0.595). For individual category assignments, proportion of agreement was slight for PI-RADS category 3 (0.208; 95% CI, 0.086-0.284) but substantial for PI-RADS category 4 (0.674; 95% CI, 0.540-0.776). However, proportion of agreement for T2-weighted PI-RADS 4 in the transition zone was 0.250 (95% CI, 0.108-0.372). Proportion of agreement for category assignment of index lesions on dynamic contrast-enhanced MR images was 0.822 (95% CI, 0.728-0.903), on T2-weighted MR images was 0.515 (95% CI, 0.430-0623), and on DW images was 0.586 (95% CI, 0.495-0.682). Proportion of agreement for dominant lesion was excellent (0.828; 95% CI, 0.742-0.913). Radiologists across experience levels had excellent agreement for detecting index lesions and moderate agreement for category assignment of lesions using PI-RADS. Future iterations of PI-RADS should clarify PI-RADS 3 and PI-RADS 4 in the transition zone.
本研究的目的是使用前列腺影像报告和数据系统第2版(PI-RADSv2)评估放射科医生在多参数MRI检测和评估前列腺癌方面的一致性。未经治疗的患者在2012年4月至2015年6月期间接受了3-T多参数MRI检查。在163例接受评估的患者中,110例在MRI检查后接受了前列腺切除术,53例MRI检查结果正常且经直肠超声引导下活检结果正常。9名放射科医生参与(高、中、低经验水平各3名)。读者平均解读了58例患者的图像(范围为56 - 60例),使用PI-RADSv2。与MRI配准的前列腺切除标本为真实情况。通过病变检测的特异性一致指数以及PI-RADS类别分配的kappa系数和一致比例来评估观察者间的一致性。放射科医生共检测到336个病变。对索引病变的敏感性为80.9%(95%CI,75.1 - 85.9%),在不同经验水平的读者中具有可比性(P = 0.392)。患者水平的特异性取决于经验;经验丰富的读者特异性为84.0%,而其他所有读者为55.2%(P < 0.001)。观察者间在检测索引病变方面一致性极佳(特异性一致指数为0.871;95%CI,0.798 - 0.923)。在PI-RADSv2类别分配上对索引病变的一致性为中等(κ = 0.419;95%CI,0.238 - 0.595)。对于各个类别分配,PI-RADS 3类别的一致比例较小(0.208;95%CI,0.086 - 0.284),而PI-RADS 4类别的一致比例较大(0.674;95%CI,0.540 - 0.776)。然而,移行带中T2加权PI-RADS 4的一致比例为0.250(95%CI,0.108 - 0.372)。在动态对比增强MR图像上索引病变类别分配的一致比例为0.822(95%CI,0.728 - 0.903),在T2加权MR图像上为0.515(95%CI,0.430 - 0.623),在DW图像上为0.586(95%CI,0.495 - 0.682)。主要病变的一致比例极佳(0.828;95%CI,0.742 - 0.913)。不同经验水平的放射科医生在检测索引病变方面一致性极佳,在使用PI-RADS进行病变类别分配方面一致性为中等。PI-RADS的未来版本应明确移行带中的PI-RADS 3和PI-RADS 4。