Wibulpolprasert Pornphan, Raman Steven S, Hsu William, Margolis Daniel J A, Asvadi Nazanin H, Khoshnoodi Pooria, Moshksar Amin, Tan Nelly, Ahuja Preeti, Maehara Cleo K, Huang Jiaoti, Sayre James, Lu David S K, Reiter Robert E
Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, 270 Rama VI Rd, Bangkok, Thailand 10400.
Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
AJR Am J Roentgenol. 2019 Jun;212(6):W122-W131. doi: 10.2214/AJR.18.20113. Epub 2019 Apr 17.
The purpose of this study is to determine the overall and sector-based performance of 3-T multiparametric MRI for prostate cancer (PCa) detection and localization by using Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) scoring and segmentation compared with whole-mount histopathologic analysis. Multiparametric 3-T MRI examinations of 415 consecutive men were compared with thin-section whole-mount histopathologic analysis. A genitourinary radiologist and pathologist collectively determined concordance. Two radiologists assigned PI-RADSv2 categories and sectoral location to all detected foci by consensus. Tumor detection rates were calculated for clinical and pathologic (Gleason score) variables. Both rigid and adjusted sector-matching models were used to account for fixation-related issues. The 415 patients had 863 PCa foci (52.7% had a Gleason score ≥ 7, 61.9% were ≥ 1 cm, and 90.4% (375/415) of index lesions were ≥ 1 cm) and 16,185 prostate sectors. Multiparametric MRI enabled greater detection of PCa lesions 1 cm or larger (all lesions vs index lesions, 61.6% vs 81.6%), lesions with Gleason score greater than or equal to 7 (all lesions vs index lesions, 71.4% vs 80.9%), and index lesions with both Gleason score greater than or equal to 7 and size 1 cm or larger (83.3%). Higher sensitivity was obtained for adjusted versus rigid tumor localization for all lesions (56.0% vs 28.5%), index lesions (55.4% vs 34.3%), lesions with Gleason score greater than or equal to 7 (55.7% vs 36.0%), and index lesions 1 cm or larger (56.1% vs 35.0%). Multiparametric 3-T MRI had similarly high specificity (96.0-97.9%) for overall and index tumor localization with adjusted and rigid sector-matching approaches. Using 3-T multiparametric MRI and PI-RADSv2, we achieved the highest sensitivity (83.3%) for the detection of lesions 1 cm or larger with Gleason score greater than or equal to 7. Sectoral localization of PCa within the prostate was moderate and was better with an adjusted model than with a rigid model.
本研究的目的是通过使用前列腺影像报告和数据系统第2版(PI-RADSv2)评分及分割方法,并与全层组织病理学分析相比较,来确定3-T多参数MRI在前列腺癌(PCa)检测和定位方面的整体及基于分区的表现。对415名连续男性进行的3-T多参数MRI检查结果与薄层全层组织病理学分析结果进行了比较。一名泌尿生殖放射科医生和一名病理科医生共同确定一致性。两名放射科医生通过共识为所有检测到的病灶指定PI-RADSv2类别和分区位置。计算了临床和病理(Gleason评分)变量的肿瘤检出率。使用了刚性和调整后的分区匹配模型来处理与固定相关的问题。415例患者有863个PCa病灶(52.7%的Gleason评分为≥7分,61.9%的病灶≥1 cm,90.4%(375/415)的索引病灶≥1 cm)和16185个前列腺分区。多参数MRI能够更有效地检测出1 cm或更大的PCa病灶(所有病灶与索引病灶,61.6%对81.6%)、Gleason评分大于或等于7分的病灶(所有病灶与索引病灶,71.4%对80.9%)以及Gleason评分大于或等于7分且大小为1 cm或更大的索引病灶(83.3%)。对于所有病灶(56.0%对28.5%)、索引病灶(55.4%对34.3%)、Gleason评分大于或等于7分的病灶(55.7%对36.0%)以及1 cm或更大的索引病灶(56.1%对35.0%),调整后的肿瘤定位比刚性定位具有更高的敏感性。3-T多参数MRI在整体和索引肿瘤定位方面,采用调整后的和刚性的分区匹配方法具有相似的高特异性(96.0 - 97.9%)。使用3-T多参数MRI和PI-RADSv2,我们在检测Gleason评分大于或等于7分且大小为1 cm或更大的病灶方面实现了最高敏感性(83.3%)。前列腺内PCa的分区定位中等,调整后的模型比刚性模型表现更好。