Literature DB >> 24819231

1.5-T multiparametric MRI using PI-RADS: a region by region analysis to localize the index-tumor of prostate cancer in patients undergoing prostatectomy.

Lars A Reisæter1, Jurgen J Fütterer2, Ole J Halvorsen3, Yngve Nygård4, Martin Biermann5, Erling Andersen6, Karsten Gravdal7, Svein Haukaas8, Jan A Monssen9, Henkjan J Huisman2, Lars A Akslen10, Christian Beisland8, Jarle Rørvik5.   

Abstract

BACKGROUND: The use of multiparametric magnetic resonance imaging (mpMRI) to detect and localize prostate cancer has increased in recent years. In 2010, the European Society of Urogenital Radiology (ESUR) published guidelines for mpMRI and introduced the Prostate Imaging Reporting and Data System (PI-RADS) for scoring the different parameters.
PURPOSE: To evaluate the reliability and diagnostic performance of endorectal 1.5-T mpMRI using the PI-RADS to localize the index tumor of prostate cancer in patients undergoing prostatectomy.
MATERIAL AND METHODS: This institutional review board IRB-approved, retrospective study included 63 patients (mean age, 60.7 years, median PSA, 8.0). Three observers read mpMRI parameters (T2W, DWI, and DCE) using the PI-RADS, which were compared with the results from whole-mount histopathology that analyzed 27 regions of interest. Inter-observer agreement was calculated as well as sensitivity, specificity, positive predictive value (PPV), and negative predicted value (NPV) by dichotomizing the PI-RADS criteria scores ≥3. A receiver-operating curve (ROC) analysis was performed for the different MR parameters and overall score.
RESULTS: Inter-observer agreement on the overall score was 0.41. The overall score in the peripheral zone achieved sensitivities of 0.41, 0.60, and 0.55 with an NPV of 0.80, 0.84, and 0.83, and in the transitional zone, sensitivities of 0.26, 0.15, and 0.19 with an NPV of 0.92, 0.91, and 0.92 for Observers 1, 2, and 3, respectively. The ROC analysis showed a significantly increased area under the curve (AUC) for the overall score when compared to T2W alone for two of the three observers.
CONCLUSION: 1.5 T mpMRI using the PI-RADS to localize the index tumor achieved moderate reliability and diagnostic performance. © The Foundation Acta Radiologica 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  MR diffusion; Urinary; magnetic resonance imaging (MRI); observer performance; prostate

Mesh:

Year:  2014        PMID: 24819231     DOI: 10.1177/0284185114531754

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  11 in total

1.  Multiparametric MRI of the prostate at 3 T: limited value of 3D (1)H-MR spectroscopy as a fourth parameter.

Authors:  Stephan H Polanec; Katja Pinker-Domenig; Peter Brader; Dietmar Georg; Shahrokh Shariat; Claudio Spick; Martin Susani; Thomas H Helbich; Pascal A Baltzer
Journal:  World J Urol       Date:  2015-09-25       Impact factor: 4.226

2.  Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI.

Authors:  Mrishta Brizmohun Appayya; Harbir S Sidhu; Nikolaos Dikaios; Edward W Johnston; Lucy Am Simmons; Alex Freeman; Alexander Ps Kirkham; Hashim U Ahmed; Shonit Punwani
Journal:  Br J Radiol       Date:  2017-12-15       Impact factor: 3.039

Review 3.  Current use of PSMA-PET in prostate cancer management.

Authors:  Tobias Maurer; Matthias Eiber; Markus Schwaiger; Jürgen E Gschwend
Journal:  Nat Rev Urol       Date:  2016-02-23       Impact factor: 14.432

4.  Assessing Extraprostatic Extension with Multiparametric MRI of the Prostate: Mehralivand Extraprostatic Extension Grade or Extraprostatic Extension Likert Scale?

Authors:  Lars A R Reisæter; Ole J Halvorsen; Christian Beisland; Alfred Honoré; Karsten Gravdal; Are Losnegård; Jan Monssen; Lars A Akslen; Martin Biermann
Journal:  Radiol Imaging Cancer       Date:  2020-01-17

5.  Multivariate modelling of prostate cancer combining magnetic resonance derived T2, diffusion, dynamic contrast-enhanced and spectroscopic parameters.

Authors:  S F Riches; G S Payne; V A Morgan; D Dearnaley; S Morgan; M Partridge; N Livni; C Ogden; N M deSouza
Journal:  Eur Radiol       Date:  2015-03-07       Impact factor: 5.315

6.  Tissue quality assessment using a novel direct elasticity assessment device (the E-finger): a cadaveric study of prostatectomy dissection.

Authors:  Daniel W Good; Ashfaq Khan; Steven Hammer; Paul Scanlan; Wenmiao Shu; Simon Phipps; Simon H Parson; Grant D Stewart; Robert Reuben; S Alan McNeill
Journal:  PLoS One       Date:  2014-11-10       Impact factor: 3.240

7.  Prostate Imaging Reporting and Data System in prostate cancer staging and planning for radical prostatectomy.

Authors:  Mieszko Kozikowski; Bartłomiej Zagożdżon; Magdalena Gola; Jakub Dobruch
Journal:  Wideochir Inne Tech Maloinwazyjne       Date:  2019-03-26       Impact factor: 1.195

8.  Accuracy of dynamic contrast-enhanced magnetic resonance imaging in the diagnosis of prostate cancer: systematic review and meta-analysis.

Authors:  Zhiqiang Chen; Yi Zheng; Guanghai Ji; Xinxin Liu; Peng Li; Lei Cai; Yulin Guo; Jian Yang
Journal:  Oncotarget       Date:  2017-08-17

9.  Optimising preoperative risk stratification tools for prostate cancer using mpMRI.

Authors:  Lars A R Reisæter; Jurgen J Fütterer; Are Losnegård; Yngve Nygård; Jan Monssen; Karsten Gravdal; Ole J Halvorsen; Lars A Akslen; Martin Biermann; Svein Haukaas; Jarle Rørvik; Christian Beisland
Journal:  Eur Radiol       Date:  2017-10-06       Impact factor: 5.315

Review 10.  Multi-parametric MRI imaging of the prostate-implications for focal therapy.

Authors:  James S Wysock; Herbert Lepor
Journal:  Transl Androl Urol       Date:  2017-06
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