Literature DB >> 24598440

Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate.

Alexander D J Baur1, Andreas Maxeiner, Tobias Franiel, Ergin Kilic, Alexander Huppertz, Carsten Schwenke, Bernd Hamm, Tahir Durmus.   

Abstract

PURPOSE: The purpose of this study was to evaluate the magnetic resonance prostate imaging reporting and data system (PI-RADS) for the detection of prostate cancer by the results of magnetic resonance imaging (MRI)-guided biopsy of the prostate as a reference standard. PATIENTS AND METHODS: In 55 patients who had undergone MRI-guided biopsy of the prostate, we retrospectively matched every biopsy core with the corresponding lesion in previously acquired endorectal multiparametric MRI including T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) at 1.5 T. Two readers blinded to the results of the biopsy evaluated each biopsied lesion according to the PI-RADS scoring system. The results of the targeted biopsy were used as a reference standard. Receiver operating characteristic analysis was performed for statistical analysis.
RESULTS: A total of 113 lesions in the 55 patients were evaluated; 30 lesions were malignant. When evaluated according to the criteria of the PI-RADS scoring system, DCE-MRI revealed a lower area under the receiver operating characteristic curve (AUC) (0.76) compared with T2WI (0.88; P=0.06) and DWI (0.93; P=0.004). A sum score combining T2WI, DWI, and DCE-MRI yielded an AUC of 0.93, whereas a sum score combining only T2WI and DWI yielded an AUC of 0.95. In central gland lesions, T2WI showed a numerically higher AUC compared with DWI (0.98 and 0.95), whereas, in peripheral zone lesions, DWI was superior (AUC of 0.93 and 0.73; P=0.04). An approach assigning a PI-RADS score for T2WI to central gland lesions and for DWI to peripheral zone lesions yielded an AUC of 0.96 and was numerically superior compared with any sequence alone and sum scores combining T2WI and DWI as well as T2WI, DWI, and DCE-MRI.
CONCLUSIONS: The PI-RADS scoring system shows a good diagnostic performance for the detection of prostate cancer when using a sum score. However, DCE-MRI does not seem to add significant value when evaluated according to the recommended criteria. Assigning a score for T2WI to central gland lesions and for DWI to peripheral zone lesions might be sufficient for stratification of patients for further diagnostic workup.

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Mesh:

Year:  2014        PMID: 24598440     DOI: 10.1097/RLI.0000000000000030

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  24 in total

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Authors:  Aritrick Chatterjee; Ajit Devaraj; Melvy Mathew; Teodora Szasz; Tatjana Antic; Gregory S Karczmar; Aytekin Oto
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2.  PIRADS 2.0: what is new?

Authors:  Baris Turkbey; Peter L Choyke
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Review 3.  A meta-analysis of use of Prostate Imaging Reporting and Data System Version 2 (PI-RADS V2) with multiparametric MR imaging for the detection of prostate cancer.

Authors:  Li Zhang; Min Tang; Sipan Chen; Xiaoyan Lei; Xiaoling Zhang; Yi Huan
Journal:  Eur Radiol       Date:  2017-06-27       Impact factor: 5.315

4.  Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?

Authors:  Thibaut Pierre; Francois Cornud; Loïc Colléter; Frédéric Beuvon; Frantz Foissac; Nicolas B Delongchamps; Paul Legmann
Journal:  Eur Radiol       Date:  2017-11-22       Impact factor: 5.315

Review 5.  PI-RADS v2: Current standing and future outlook.

Authors:  Clayton P Smith; Barış Türkbey
Journal:  Turk J Urol       Date:  2018-05-01

6.  Interreader Agreement of Prostate Imaging Reporting and Data System Version 2 Using an In-Bore MRI-Guided Prostate Biopsy Cohort: A Single Institution's Initial Experience.

Authors:  Daniel I Glazer; William W Mayo-Smith; Nisha I Sainani; Cheryl A Sadow; Mark G Vangel; Clare M Tempany; Ruth M Dunne
Journal:  AJR Am J Roentgenol       Date:  2017-06-28       Impact factor: 3.959

7.  Optimization of ZD2 Peptide Targeted Gd(HP-DO3A) for Detection and Risk-Stratification of Prostate Cancer with MRI.

Authors:  Nadia R Ayat; Jing-Can Qin; Han Cheng; Sarah Roelle; Songqi Gao; Yajuan Li; Zheng-Rong Lu
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8.  Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study.

Authors:  Aritrick Chatterjee; Roger M Bourne; Shiyang Wang; Ajit Devaraj; Alexander J Gallan; Tatjana Antic; Gregory S Karczmar; Aytekin Oto
Journal:  Radiology       Date:  2018-02-02       Impact factor: 11.105

9.  Correlation between dynamic contrast-enhanced MRI and quantitative histopathologic microvascular parameters in organ-confined prostate cancer.

Authors:  Cornelis G van Niekerk; Jeroen A W M van der Laak; Thomas Hambrock; Henk-Jan Huisman; J Alfred Witjes; Jelle O Barentsz; Christina A Hulsbergen-van de Kaa
Journal:  Eur Radiol       Date:  2014-07-18       Impact factor: 5.315

10.  Prospective comparison of PI-RADS version 2 and qualitative in-house categorization system in detection of prostate cancer.

Authors:  Sonia Gaur; Stephanie Harmon; Sherif Mehralivand; Sandra Bednarova; Brian P Calio; Dordaneh Sugano; Abhinav Sidana; Maria J Merino; Peter A Pinto; Bradford J Wood; Joanna H Shih; Peter L Choyke; Baris Turkbey
Journal:  J Magn Reson Imaging       Date:  2018-03-31       Impact factor: 4.813

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