Prediction of biochemical recurrence after radical prostatectomy with PI-RADS version 2 in prostate cancers: initial results

Objectives To determine whether the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) helps predict biochemical recurrence (BCR) after radical prostatectomy for prostate cancer (PCa). Methods We included 158 patients with PCa who underwent magnetic resonance imaging (MRI) and radical...

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Vydáno v:European radiology Ročník 26; číslo 8; s. 2502 - 2509
Hlavní autoři: Park, Sung Yoon, Oh, Young Taik, Jung, Dae Chul, Cho, Nam Hoon, Choi, Young Deuk, Rha, Koon Ho, Hong, Sung Joon
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2016
Springer Nature B.V
Témata:
Aged
Aged, 80 and over
Antigens
Biopsy
Diagnostic Radiology
Humans
Imaging
Internal Medicine
Interventional Radiology
Kaplan-Meier Estimate
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical schools
Medicine
Medicine & Public Health
Middle Aged
Multivariate Analysis
Neoplasm Recurrence, Local - metabolism
Neoplasm Recurrence, Local - pathology
Neuroradiology
Predictive Value of Tests
Proportional Hazards Models
Prostate cancer
Prostate-Specific Antigen - analysis
Prostatectomy - methods
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - metabolism
Prostatic Neoplasms - pathology
Radiology
Retrospective Studies
Ultrasound
University colleges
Urogenital
Radical prostatectomy
MRI
Biochemical recurrence
Prostate cancer
PI-RADS
ISSN:0938-7994, 1432-1084, 1432-1084
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Shrnutí:Objectives To determine whether the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) helps predict biochemical recurrence (BCR) after radical prostatectomy for prostate cancer (PCa). Methods We included 158 patients with PCa who underwent magnetic resonance imaging (MRI) and radical prostatectomy (RP). Clinical (prostate-specific antigen, greatest percentage of core, and percentage of positive core number), PI-RADSv2 score on MRI, and surgical parameters (Gleason score, extracapsular extension, seminal vesicle invasion, and tumour volume) were investigated. Univariate and multivariate analyses using Cox’s proportional hazards model were performed to assess parameters predictive of BCR (two consecutive prostate specific antigens ≥0.2 ng/ml). Kaplan-Meier survival curves were analyzed. Results The rate of BCR was 13.3 % (21/158) after surgery (median follow-up, 25 months; range, 12–36). No subject with a PI-RADS score <4 had BCR. In univariate analysis, all parameters were significant for BCR ( p  < 0.05), except seminal vesicle invasion ( p  = 0.254). Meanwhile, PI-RADS score was the only independent parameter for BCR in multivariate analysis ( p  < 0.05). Two-year, BCR-free survival post-RP was significantly lower for PI-RADS ≥4 (84.7–85.5 %) than for PI-RADS <4 (100 %; p  < 0.05). Conclusion As a preoperative imaging tool, PI-RADSv2 may be useful to predict BCR after radical prostatectomy for PCa. Key Points • No subject with PI-RADS <4 had BCR after RP • PI-RADSv2 was the only predictor of BCR in multivariate analysis • Two-year, BCR-free survival following RP was lower for PI-RADS≥4 than for PI-RADS<4 • Inter-rater agreement was good for PI-RADS ≥4 or not
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SourceType-Scholarly Journals-1
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ISSN:0938-7994
1432-1084
1432-1084
DOI:10.1007/s00330-015-4077-5