Diagnostic Value of Multiparametric MRI in Clinically Significant Prostate Cancer
WANG Xuan1, XIE Jiangling2, LI Chunmei3, HE Lei4, LONG Xingbo1,5, WANG Miao1,5, FANG Fang4, WAN Ben1, WANG Jianye1, LIU Ming1
1Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China; 2Department of Urology, Qianjiang Central Hospital; 3Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; 4Department of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; 5Chinese Academy of Medicine Sciences, Graduate School of Peking Union Medical College
Abstract:Objective: To study the diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) on clinically significant prostate cancer (csPCa) in patients with prostate cancer confirmed by prostate biopsy, and to analyze the predictive factors of csPCa. The results of mpMRI were compared with the radical prostatectomy (RP) specimens. Methods: The clinical data of patients who underwent RP in Urology Department of Beijing Hospital from August 2014 to August 2020 were retrospectively collected. These patients who underwent mp-MRI examination and prostate biopsy in our hospital before RP were enrolled. Prostate MR images were interpreted by one radiologist who were blinded to pathology results based on Prostate Imaging Reporting and Data System version 2 (PI-RADS v2), and the specimens of prostate biopsy and RP were reviewed by two pathologists respectively. The diagnostic abilities of mpMRI for the detection of csPCa were analyzed using the pathology of RP specimens as the reference standard, and the predictive factors of csPCa were analyzed. Results: A total of 285 patients were included for analysis. The mean age was (68.0 ± 6.5) years and mean preoperative PSA was (14.1 ± 14.0) μg/L. CsPCa was found in 91.23% (260/285) of patients. MpMRI PIRADS v2 score ≥ 3 had a 90.38% sensitivity, 56.00% specificity, 95.53% positive predictive value (PPV) and 35.90% negative predictive value (NPV) for csPCa. In ROC curve analysis, the area under the ROC curve (AUC) was 0.815. Bland-Altman analysis showed that the pearson correlation coefficients of PI-RADS v2 score with biopsy Gleason score and Gleason score after RP were 0.309 (P < 0.001) and 0.396 (P < 0.001), respectively. Multivariate analysis showed that PI-RADS v2 score, greatest percentage of biopsy core, and percentage of positive biopsy cores were independent predictors of csPCa (P = 0.003, P = 0.001, and P = 0.022). A subgroup analysis was performed on patients with Gleason score of 6 on prostate biopsy (76 cases, 26.67%). The AUC of csPCa diagnosis after RP in this subgroup was 0.739 by mp-MRI. Multivariate analysis showed that PI-RADS v2 score and greatest percentage of biopsy core were independent predictors of csPCa in this subgroup (P = 0.022, P = 0.001). Conclusions: PI-RADS v2 score of preoperativemp MRI is a reliable and effective method to identifycs PCa in patients with prostate cancer, and it has good consistency with Gleason score of the tumor.
王萱, 谢江凌, 李春媚, 何磊, 龙星博, 王淼, 方芳, 万奔, 王建业, 刘明. 多参数磁共振对有临床意义前列腺癌的诊断价值[J]. 微创泌尿外科杂志, 2021, 10(2): 111-117.
WANG Xuan, XIE Jiangling, LI Chunmei, HE Lei, LONG Xingbo, WANG Miao, FANG Fang, WAN Ben, WANG Jianye, LIU Ming. Diagnostic Value of Multiparametric MRI in Clinically Significant Prostate Cancer. JOURNAL OF MINIMALLY INVASIVE UROLOGY, 2021, 10(2): 111-117.
[1] WEINREB JC, BARENTSZ JO, CHOYKE PL, et al.PI-RADS prostate imaging - reporting and data system: 2015, version 2. Eur Urol, 2016,69(1):16-40.
[2] TONER L, WEERAKOON M, BOLTON DM, et al.Magnetic resonance imaging for prostate cancer: Comparative studies including radical prostatectomy specimens and template transperineal biopsy. Prostate Int, 2015,3(4):107-114.
[3] EPSTEIN JI, FENG Z, TROCK BJ, et al.Upgrading and downgrading of prostate cancer from biopsy to radical prostatectomy: incidence and predictive factors using the modified Gleason grading system and factoring in tertiary grades. Eur Urol, 2012,61(5):1019-1024.
[4] SIEGEL RL, MILLER KD, JEMAL A.Cancer statistics, 2020. CA Cancer J Clin, 2020,70(1):7-30.
[5] SCHRÖDER FH, HUGOSSON J, ROOBOL MJ, et al. Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up. Lancet, 2014,384(9959):2027-2035.
[6] ROUVIÈRE O, PUECH P, RENARD-PENNA R, et al. Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study. Lancet Oncol, 2019,20(1):100-109.
[7] EXTERKATE L, WEGELIN O, BARENTSZ JO, et al.Is there still a need for repeated systematic biopsies in patients with previous negative biopsies in the era of magnetic resonance imaging-targeted biopsies of the prostate?Eur Urol Oncol, 2020,3(2):216-223.
[8] BARENTSZ JO, RICHENBERG J, CLEMENTS R, et al.ESUR prostate Mr guidelines 2012. Eur Radiol, 2012,22(4):746-757.
[9] KAM J, YUMINAGA Y, KRELLE M, et al.Evaluation of the accuracy of multiparametric MRI for predicting prostate cancer pathology and tumour staging in the real world: an multicentre study. BJU Int, 2019,124(2):297-301.
[10] TONER L, PAPA N, PERERA M, et al.Multiparametric magnetic resonance imaging for prostate cancer-a comparative study including radical prostatectomy specimens. World J Urol, 2017,35(6):935-941.
[11] HAMOEN E, DE ROOIJ M, WITJES JA, et al.Use of the prostate imaging reporting and data system (PI-RADS) for prostate cancer detection with multiparametric magnetic resonance imaging: a diagnostic meta-analysis. Eur Urol, 2015,67(6):1112-1121.
[12] TRUONG M, HOLLENBERG G, WEINBERG E, et al.Impact of gleason subtype on prostate cancer detection using multiparametric magnetic resonance imaging: correlation with final histopathology. J Urol, 2017,198(2):316-321.
[13] EGEVAD L, DELAHUNT B, SRIGLEY JR, et al.International society of urological pathology (ISUP) grading of prostate cancer - an ISUP consensus on contemporary grading. APMIS, 2016,124(6):433-435.
[14] SÜRER BE, TOPTAŞ T, AYDIN F, et al. Correlation of minimum apparent diffusion coefficient and maximum standardized uptake value of the primary tumor with clinicopathologic characteristics in endometrial cancer. Mol Imaging Radionucl Ther, 2017,26(1):24-32.
[15] TAN N, MARGOLIS DJ, LU DY, et al.Characteristics of detected and missed prostate cancer Foci on 3-T multiparametric MRI using an endorectal coil correlated with Whole-Mount Thin-Section histopathology. AJR Am J Roentgenol, 2015,205(1):W87-W92.
[16] SARICI H, TELLI O, YIGITBASI O, et al.Predictors of gleason score upgrading in patients with prostate biopsy gleason score ≤6. Can Urol Assoc J, 2014,8(5/6):E342-E346.
[17] DONG F, JONES JS, STEPHENSON AJ, et al. Prostate cancer volume at biopsy predicts clinically significant upgrading. J Urol, 2008,179(3):896-900; discussion 900.
[18] SEO JW, SHIN SJ, TAIK OY, et al.PI-RADS version 2: detection of clinically significant cancer in patients with biopsy gleason score 6 prostate cancer. AJR Am J Roentgenol, 2017,209(1):W1-W9.
[19] KIM JY, KIM SH, KIM YH, et al.Choi MS. Low-risk prostate cancer:the accuracy of multiparametric MR imaging for detection.Radiology,2014,271(2):435-444.
[20] VARGAS HA, HÖTKER AM, GOLDMAN DA, et al. Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference. Eur Radiol, 2016,26(6):1606-1612.