Literature DB >> 27842676

Biparametric 3T Magnetic Resonance Imaging for prostatic cancer detection in a biopsy-naïve patient population: a further improvement of PI-RADS v2?

Arnaldo Stanzione1, Massimo Imbriaco2, Sirio Cocozza1, Ferdinando Fusco3, Giovanni Rusconi1, Carmela Nappi1, Vincenzo Mirone3, Francesco Mangiapia3, Arturo Brunetti1, Alfonso Ragozzino4, Nicola Longo3.   

Abstract

OBJECTIVES: To prospectively determine the diagnostic accuracy of a biparametric 3T magnetic resonance imaging protocol (BP-MRI) for prostatic cancer detection, compared to a multiparametric MRI protocol (MP-MRI), in a biopsy naïve patient population.
METHODS: Eighty-two untreated patients (mean age 65±7.6years) with clinical suspicion of prostate cancer and/or altered prostate-specific antigen (PSA) levels underwent a MP-MRI, including T2-weighted imaging, diffusion-weighted imaging (with the correspondent apparent diffusion coefficient maps) and dynamic contrast enhanced sequence, followed by prostate biopsy. Two radiologists reviewed both the BP-MRI and the MP-MRI protocols to establish a radiological diagnosis. Receiver operating characteristics curves were obtained to determine the diagnostic performance of the two protocols.
RESULTS: The mean PSA level was 8.8±8.1ng/ml. A total of 34 prostatic tumors were identified, with a Gleason score that ranged from 3+3 to 5+4. Of these 34 tumors, 29 were located within the peripheral zone and 5 in the transitional zone. BP-MRI and MP-MRI showed a similar performance in terms of overall diagnostic accuracy, with an area under the curve of 0.91 and 0.93, respectively (p=n.s.).
CONCLUSIONS: BP-MRI prostate protocol is feasible for prostatic cancer detection compared to a standard MP-MRI protocol, requiring a shorter acquisition and interpretation time, with comparable diagnostic accuracy to the conventional protocol, without the administration of gadolinium-based contrast agent.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  MRI; Medical oncology; PI-RADS; Prostate cancer; Urologic diseases

Mesh:

Substances:

Year:  2016        PMID: 27842676     DOI: 10.1016/j.ejrad.2016.10.009

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


  19 in total

1.  A Multireader Exploratory Evaluation of Individual Pulse Sequence Cancer Detection on Prostate Multiparametric Magnetic Resonance Imaging (MRI).

Authors:  Sonia Gaur; Stephanie Harmon; Rajan T Gupta; Daniel J Margolis; Nathan Lay; Sherif Mehralivand; Maria J Merino; Bradford J Wood; Peter A Pinto; Joanna H Shih; Peter L Choyke; Baris Turkbey
Journal:  Acad Radiol       Date:  2018-04-25       Impact factor: 3.173

2.  Comparison of multiparametric and biparametric MRI of the prostate: are gadolinium-based contrast agents needed for routine examinations?

Authors:  Daniel Junker; Fabian Steinkohl; Veronika Fritz; Jasmin Bektic; Theodoros Tokas; Friedrich Aigner; Thomas R W Herrmann; Michael Rieger; Udo Nagele
Journal:  World J Urol       Date:  2018-08-04       Impact factor: 4.226

Review 3.  Biparametric MRI of the prostate.

Authors:  Michele Scialpi; Alfredo D'Andrea; Eugenio Martorana; Corrado Maria Malaspina; Maria Cristina Aisa; Maria Napoletano; Emanuele Orlandi; Valeria Rondoni; Pietro Scialpi; Diamante Pacchiarini; Diego Palladino; Michele Dragone; Giancarlo Di Renzo; Annalisa Simeone; Giampaolo Bianchi; Luca Brunese
Journal:  Turk J Urol       Date:  2017-12-01

Review 4.  Is perfect the enemy of good? Weighing the evidence for biparametric MRI in prostate cancer.

Authors:  Alexander P Cole; Bjoern J Langbein; Francesco Giganti; Fiona M Fennessy; Clare M Tempany; Mark Emberton
Journal:  Br J Radiol       Date:  2021-12-16       Impact factor: 3.039

5.  Diagnostic Accuracy of a Rapid Biparametric MRI Protocol for Detection of Histologically Proven Prostate Cancer.

Authors:  Verena C Obmann; Shivani Pahwa; William Tabayayong; Yun Jiang; Gregory O'Connor; Sara Dastmalchian; John Lu; Soham Shah; Karin A Herrmann; Raj Paspulati; Gregory MacLennan; Lee Ponsky; Robert Abouassaly; Vikas Gulani
Journal:  Urology       Date:  2018-09-07       Impact factor: 2.649

6.  Value of MRI texture analysis for predicting new Gleason grade group.

Authors:  Xiaojing He; Hui Xiong; Haiping Zhang; Xinjie Liu; Jun Zhou; Dajing Guo
Journal:  Br J Radiol       Date:  2021-03-11       Impact factor: 3.039

7.  Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.

Authors:  Armando Stabile; Francesco Giganti; Veeru Kasivisvanathan; Gianluca Giannarini; Caroline M Moore; Anwar R Padhani; Valeria Panebianco; Andrew B Rosenkrantz; Georg Salomon; Baris Turkbey; Geert Villeirs; Jelle O Barentsz
Journal:  Eur Urol Oncol       Date:  2020-03-17

8.  Diagnostic Performance of PI-RADS v2, Proposed Adjusted PI-RADS v2 and Biparametric Magnetic Resonance Imaging for Prostate Cancer Detection: A Preliminary Study.

Authors:  Guan-Hui Cai; Qi-Hua Yang; Wen-Bo Chen; Qing-Yu Liu; Yu-Rong Zeng; Yu-Jing Zeng
Journal:  Curr Oncol       Date:  2021-05-12       Impact factor: 3.677

9.  A nomogram based on PI-RADS v2.1 and clinical indicators for predicting clinically significant prostate cancer in the transition zone.

Authors:  Chaogang Wei; Peng Pan; Tong Chen; Yueyue Zhang; Guangcheng Dai; Jian Tu; Zhen Jiang; Wenlu Zhao; Junkang Shen
Journal:  Transl Androl Urol       Date:  2021-06

10.  Diagnostic accuracy of high b-value diffusion weighted imaging for patients with prostate cancer: a diagnostic comprehensive analysis.

Authors:  Chao Li; Na Li; Zhanzhan Li; Liangfang Shen
Journal:  Aging (Albany NY)       Date:  2021-06-22       Impact factor: 5.682

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