Literature DB >> 21354732

MRI of the prostate: interobserver agreement compared with histopathologic outcome after radical prostatectomy.

Oliver Ruprecht1, Philipp Weisser, Boris Bodelle, Hanns Ackermann, Thomas J Vogl.   

Abstract

BACKGROUND: The purpose of this study was to evaluate interobserver agreement of prostatic MRI in assessing the performance of staging prostate carcinoma in comparison with histopathologic step section prostate specimens.
METHODS: We retrospectively evaluated 46 patients who underwent prostatic MRI examination at 1.5 T MRI and "subsequently" radical prostatectomy. All MR-images were reevaluated by two different experienced radiologists (15 and 1.5 years of experience) with special focus on T2/T3 differentiation. Both radiologists were not aware of the patient's clinical data, except that the patient had prostate cancer. These findings were compared with histopathologic whole mount step section prostate specimens, which served as the "gold standard". Fourfold tables were created to calculate sensitivity, specificity, positive and negative predictive values and efficiency for T2/T3 differentiation. Cohen's kappa was calculated to measure inter-rater agreement.
RESULTS: Twenty-eight patients were diagnosed with organ defined cancer (T2), 18 patients were staged with extracapsular extension (T3), and thereof 7 patients were staged with seminal vesicle invasion (T3b) by the pathologists. The experienced reader reached a sensitivity of 77.78% (95%-CI 52.36%; 93.59%) and specificity of 92.86% (95%-CI 76.50%; 99.12%) for T2/T3 differentiation, the less experienced reader however achieved a sensitivity of 33.33% (95%-CI 13.34%; 59.01%) and specificity of 71.43% (95%-CI 51.33%; 86.78%). The Cohen's kappa for inter-rater reliability for differentiation between T2 and T3 stage was κ=0.0129.
CONCLUSIONS: Evaluation of prostatic MR imaging requires lengthy experience for accurate interpretation and staging. While a highly experienced reader can achieve good correlation with histopathology even without utilization of functional MR imaging, a less experienced reader with theoretical knowledge falls short of expectation.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21354732     DOI: 10.1016/j.ejrad.2010.12.076

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  30 in total

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Authors:  Sonia Gaur; Stephanie Harmon; Lauren Rosenblum; Matthew D Greer; Sherif Mehralivand; Mehmet Coskun; Maria J Merino; Bradford J Wood; Joanna H Shih; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2018-05-07       Impact factor: 3.959

2.  Added Value of Multiparametric Magnetic Resonance Imaging to Clinical Nomograms for Predicting Adverse Pathology in Prostate Cancer.

Authors:  Kareem N Rayn; Jonathan B Bloom; Samuel A Gold; Graham R Hale; Joseph A Baiocco; Sherif Mehralivand; Marcin Czarniecki; Vikram K Sabarwal; Vladimir Valera; Bradford J Wood; Maria J Merino; Peter Choyke; Baris Turkbey; Peter A Pinto
Journal:  J Urol       Date:  2018-05-29       Impact factor: 7.450

3.  Preoperative Prediction of Extracapsular Extension: Radiomics Signature Based on Magnetic Resonance Imaging to Stage Prostate Cancer.

Authors:  Shuai Ma; Huihui Xie; Huihui Wang; Jiejin Yang; Chao Han; Xiaoying Wang; Xiaodong Zhang
Journal:  Mol Imaging Biol       Date:  2020-06       Impact factor: 3.488

Review 4.  Imaging and evaluation of patients with high-risk prostate cancer.

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5.  The Role of Magnetic Resonance Image Guided Prostate Biopsy in Stratifying Men for Risk of Extracapsular Extension at Radical Prostatectomy.

Authors:  Dima Raskolnikov; Arvin K George; Soroush Rais-Bahrami; Baris Turkbey; M Minhaj Siddiqui; Nabeel A Shakir; Chinonyerem Okoro; Jason T Rothwax; Annerleim Walton-Diaz; Sandeep Sankineni; Daniel Su; Lambros Stamatakis; Maria J Merino; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  J Urol       Date:  2015-01-23       Impact factor: 7.450

6.  Education of prostate MR imaging: commentary.

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Review 7.  Implementation of Multi-parametric Prostate MRI in Clinical Practice.

Authors:  Andrea S Kierans; Samir S Taneja; Andrew B Rosenkrantz
Journal:  Curr Urol Rep       Date:  2015-08       Impact factor: 3.092

8.  Integration of MRI to clinical nomogram for predicting pathological stage before radical prostatectomy.

Authors:  Cedric Lebacle; Françoise Roudot-Thoraval; Anissa Moktefi; Mohamed Bouanane; Alexandre De La Taille; Laurent Salomon
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9.  Detection of prostate cancer with multiparametric MRI (mpMRI): effect of dedicated reader education on accuracy and confidence of index and anterior cancer diagnosis.

Authors:  Kirema Garcia-Reyes; Niccolò M Passoni; Mark L Palmeri; Christopher R Kauffman; Kingshuk Roy Choudhury; Thomas J Polascik; Rajan T Gupta
Journal:  Abdom Imaging       Date:  2015-01

10.  Clinicopathologic characteristics of anterior prostate cancer (APC), including correlation with previous biopsy pathology.

Authors:  Martin J Magers; Tianyu Zhan; Aaron M Udager; John T Wei; Scott A Tomlins; Angela J Wu; Lakshmi P Kunju; Madelyn Lew; Felix Y Feng; Daniel A Hamstra; Javed Siddiqui; Arul M Chinnaiyan; Jeffrey S Montgomery; Alon Z Weizer; Todd M Morgan; Brent K Hollenbeck; David C Miller; Ganesh S Palapattu; Hui Jiang; Rohit Mehra
Journal:  Med Oncol       Date:  2015-10-06       Impact factor: 3.064

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