Literature DB >> 15166319

Prostate cancer: detection of extracapsular extension by genitourinary and general body radiologists at MR imaging.

Michael Mullerad1, Hedvig Hricak, Liang Wang, Hui-Ni Chen, Michael W Kattan, Peter T Scardino.   

Abstract

PURPOSE: To determine whether predictive value of endorectal magnetic resonance (MR) imaging findings in detection of prostate cancer extracapsular extension (ECE) is significantly affected by the reader's subspecialty experience.
MATERIALS AND METHODS: In this cohort study, 344 consecutive patients with biopsy-proved prostate cancer underwent endorectal MR imaging followed by surgery. Likelihood of ECE described in MR imaging reports was compared with clinical predictor variables. ECE was determined from the final pathologic report on specimens resected at surgery. Readers of MR images were classified into genitourinary MR imaging radiologists (n = 4) and general body MR imaging radiologists (n = 6). For data analysis, Wilcoxon rank sum and chi(2) tests, as well as receiver operating characteristic (ROC) curves and univariate and multivariate logistic regression analyses, were used. A difference with P <.05 was considered significant.
RESULTS: Univariate analysis results demonstrated that all predictors except clinical stage were significantly associated with detection of ECE in both groups of readers (P <.05). In the genitourinary MR imaging radiologist group of patients, area under the ROC curve for endorectal MR imaging findings (0.833) was larger than areas under the curves for all other predictors (0.566-0.701). In the general body MR imaging radiologist group of patients, area under the ROC curve for endorectal MR imaging findings (0.646) was not larger than areas under the curves for all other predictors (0.582-0.793). Results of multivariate analysis of two models, one with all predictors and another with all predictors except endorectal MR imaging findings, demonstrated a significant increase in area under the ROC curve with endorectal MR images interpreted by genitourinary MR imaging radiologists (P =.019 and.31, respectively).
CONCLUSION: Endorectal MR imaging findings are significant predictors for detection of ECE when MR images are interpreted by genitourinary radiologists experienced with MR imaging of the prostate. Copyright RSNA, 2004

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Year:  2004        PMID: 15166319     DOI: 10.1148/radiol.2321031254

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  45 in total

1.  Prediction of prostate cancer extracapsular extension with high spatial resolution dynamic contrast-enhanced 3-T MRI.

Authors:  B Nicolas Bloch; Elizabeth M Genega; Daniel N Costa; Ivan Pedrosa; Martin P Smith; Herbert Y Kressel; Long Ngo; Martin G Sanda; William C Dewolf; Neil M Rofsky
Journal:  Eur Radiol       Date:  2012-06-03       Impact factor: 5.315

2.  Preoperative nomograms incorporating magnetic resonance imaging and spectroscopy for prediction of insignificant prostate cancer.

Authors:  Amita Shukla-Dave; Hedvig Hricak; Oguz Akin; Changhong Yu; Kristen L Zakian; Kazuma Udo; Peter T Scardino; James Eastham; Michael W Kattan
Journal:  BJU Int       Date:  2011-09-20       Impact factor: 5.588

3.  Prostate cancer managed with active surveillance: role of anatomic MR imaging and MR spectroscopic imaging.

Authors:  Vincent Fradet; John Kurhanewicz; Janet E Cowan; Alexander Karl; Fergus V Coakley; Katsuto Shinohara; Peter R Carroll
Journal:  Radiology       Date:  2010-05-26       Impact factor: 11.105

4.  Radiological error: analysis, standard setting, targeted instruction and teamworking.

Authors:  Richard FitzGerald
Journal:  Eur Radiol       Date:  2005-02-23       Impact factor: 5.315

5.  Reproducibility of image interpretation in MRI of the prostate: application of the sextant framework by two different radiologists.

Authors:  Ullrich Mueller-Lisse; Ulrike Mueller-Lisse; Juergen Scheidler; Gerhardt Klein; Maximilian Reiser
Journal:  Eur Radiol       Date:  2005-04-20       Impact factor: 5.315

Review 6.  Prostate MR imaging at high-field strength: evolution or revolution?

Authors:  Olivier Rouvière; Robert P Hartman; Denis Lyonnet
Journal:  Eur Radiol       Date:  2005-09-10       Impact factor: 5.315

7.  [MR techniques for noninvasive diagnosis of prostate cancer].

Authors:  N Morakkabati-Spitz; P J Bastian; A Meissner; F Träber; J Gieseke; H H Schild; S C Müller
Journal:  Urologe A       Date:  2006-06       Impact factor: 0.639

8.  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

9.  Modalities for imaging of prostate cancer.

Authors:  A H Hou; D Swanson; A B Barqawi
Journal:  Adv Urol       Date:  2010-03-17

10.  Focal treatment of prostate cancer with vascular-targeted photodynamic therapy.

Authors:  Scott E Eggener; Jonathan A Coleman
Journal:  ScientificWorldJournal       Date:  2008-10-03
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