Literature DB >> 27240900

Segmented diffusion-weighted imaging of the prostate: Application to transperineal in-bore 3T MR image-guided targeted biopsy.

Andriy Fedorov1, Kemal Tuncali2, Lawrence P Panych2, Janice Fairhurst2, Elmira Hassanzadeh2, Ravi T Seethamraju3, Clare M Tempany2, Stephan E Maier4.   

Abstract

OBJECTIVE: This study aims to evaluate the applicability of using single-shot and multi-shot segmented diffusion-weighted imaging (DWI) techniques to support biopsy target localization in a cohort of targeted MRI-guided prostate biopsy patients.
MATERIALS AND METHODS: Single-shot echo-planar diffusion-weighted imaging (SS-DWI) and multi-shot segmented (MS-DWI) were performed intra-procedurally on a 3Tesla system in a total of 35 men, who underwent in-bore prostate biopsy inside the scanner bore. Comparisons between SS-DWI and MS-DWI were performed with (in 16 men) and without (in 19 men) parallel coil acceleration (iPAT) for SS-DWI. Overall image quality and artifacts were scored by a radiologist and scores were compared with the Wilcoxon-Mann-Whitney rank test. Correlation between the presence of air and image quality scores was evaluated with Spearman statistics. To quantify distortion, the anteroposterior prostate dimension was measured in SS and MS b=0 diffusion- and T2-weighted images. Signal-to-noise ratio was estimated in a phantom experiment. Agreement and accuracy of targeting based on retrospective localization of restricted diffusion areas in DWI was evaluated with respect to the targets identified using multi-parametric MRI (mpMRI).
RESULTS: Compared to SS-DWI without iPAT, the average image quality score in MS-DWI improved from 2.0 to 3.3 (p<0.005) and the artifact score improved from 2.3 to 1.4 (p<0.005). When iPAT was used in SS-DWI, the average image quality score in MS-DWI improved from 2.6 to 3.3 (p<0.05) and the artifact score improved from 2.1 to 1.4 (p<0.01). Image quality (ρ=-0.74, p<0.0005) and artifact scores (ρ=0.77, p<0.0005) both showed strong correlation with the presence of air in the rectum for the SS-DWI sequence without iPAT. These correlations remained significant when iPAT was enabled (ρ=-0.52, p<0.05 and ρ=0.64, p<0.01). For the comparison MS-DWI vs SS-DWI without iPAT, median differences between diffusion- and T2-weighted image gland measurements were 1.1(0.03-10.4)mm and 4.4(0.5-22.7)mm, respectively. In the SS-DWI-iPAT cohort, median gland dimension differences were 2.7(0.4-5.9)mm and 4.2(0.7-8.9)mm, respectively. Out of the total of 89 targets identified in mpMRI, 20 had corresponding restricted diffusion areas in SS-DWI and 28 in MS-DWI. No statistically significant difference was observed between the distances for the targets in the target-concordant SS- and MS-DWI restricted diffusion areas (5.5mm in SS-DWI vs 4.5mm in MS-DWI, p>0.05).
CONCLUSIONS: MS-DWI applied to prostate imaging leads to a significant reduction of image distortion in comparison with SS-DWI. There is no sufficient evidence however to suggest that intra-procedural DWI can serve as a replacement for tracking of the targets identified in mpMRI for the purposes of targeted MRI-guided prostate biopsy.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion weighted imaging; Image distortion; Image-guided interventions; Image-guided prostate biopsy; Magnetic resonance imaging; Prostate cancer

Mesh:

Year:  2016        PMID: 27240900      PMCID: PMC4993653          DOI: 10.1016/j.mri.2016.05.012

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  27 in total

1.  Diffusion tensor MRI of the human kidney.

Authors:  M Ries; R A Jones; F Basseau; C T Moonen; N Grenier
Journal:  J Magn Reson Imaging       Date:  2001-07       Impact factor: 4.813

2.  Image registration for targeted MRI-guided transperineal prostate biopsy.

Authors:  Andriy Fedorov; Kemal Tuncali; Fiona M Fennessy; Junichi Tokuda; Nobuhiko Hata; William M Wells; Ron Kikinis; Clare M Tempany
Journal:  J Magn Reson Imaging       Date:  2012-05-29       Impact factor: 4.813

3.  Feasibility Study of 3-T DWI of the Prostate: Readout-Segmented Versus Single-Shot Echo-Planar Imaging.

Authors:  Liang Li; Liang Wang; Ming Deng; Hui Liu; Jie Cai; Vivek Kumar Sah; Jihong Liu
Journal:  AJR Am J Roentgenol       Date:  2015-07       Impact factor: 3.959

4.  Clinical evaluation of single-shot and readout-segmented diffusion-weighted imaging in stroke patients at 3 T.

Authors:  John Morelli; David Porter; Fei Ai; Clint Gerdes; Megan Saettele; Thorsten Feiweier; Abraham Padua; James Dix; Michael Marra; Rajesh Rangaswamy; Val Runge
Journal:  Acta Radiol       Date:  2013-01-14       Impact factor: 1.990

5.  Readout-segmented echo-planar imaging improves the diagnostic performance of diffusion-weighted MR breast examinations at 3.0 T.

Authors:  Wolfgang Bogner; Katja Pinker-Domenig; Hubert Bickel; Marek Chmelik; Michael Weber; Thomas H Helbich; Siegfried Trattnig; Stephan Gruber
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Three-Tesla magnetic resonance-guided prostate biopsy in men with increased prostate-specific antigen and repeated, negative, random, systematic, transrectal ultrasound biopsies: detection of clinically significant prostate cancers.

Authors:  Caroline M A Hoeks; Martijn G Schouten; Joyce G R Bomers; Stefan P Hoogendoorn; Christina A Hulsbergen-van de Kaa; Thomas Hambrock; Henk Vergunst; J P Michiel Sedelaar; Jurgen J Fütterer; Jelle O Barentsz
Journal:  Eur Urol       Date:  2012-02-01       Impact factor: 20.096

Review 8.  Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer.

Authors:  John V Hegde; Robert V Mulkern; Lawrence P Panych; Fiona M Fennessy; Andriy Fedorov; Stephan E Maier; Clare M C Tempany
Journal:  J Magn Reson Imaging       Date:  2013-05       Impact factor: 4.813

9.  In-bore setup and software for 3T MRI-guided transperineal prostate biopsy.

Authors:  Junichi Tokuda; Kemal Tuncali; Iulian Iordachita; Sang-Eun Song; Andriy Fedorov; Sota Oguro; Andras Lasso; Fiona M Fennessy; Clare M Tempany; Nobuhiko Hata
Journal:  Phys Med Biol       Date:  2012-09-05       Impact factor: 3.609

10.  Nonlinear phase correction of navigated multi-coil diffusion images.

Authors:  David Atkinson; Serena Counsell; Joseph V Hajnal; Philip G Batchelor; Derek L G Hill; David J Larkman
Journal:  Magn Reson Med       Date:  2006-11       Impact factor: 4.668

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  6 in total

1.  Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging.

Authors:  Yuxin Zhang; James Holmes; Iñaki Rabanillo; Arnaud Guidon; Shane Wells; Diego Hernando
Journal:  Magn Reson Imaging       Date:  2018-04-17       Impact factor: 2.546

Review 2.  Diffusion and quantification of diffusion of prostate cancer.

Authors:  Yoshiko Ueno; Tsutomu Tamada; Keitaro Sofue; Takamichi Murakami
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4.  Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Estimation.

Authors:  Pelin Aksit Ciris; Jr-Yuan George Chiou; Daniel I Glazer; Tzu-Cheng Chao; Clare M Tempany-Afdhal; Bruno Madore; Stephan E Maier
Journal:  Invest Radiol       Date:  2019-04       Impact factor: 6.016

Review 5.  New prostate MRI techniques and sequences.

Authors:  Aritrick Chatterjee; Carla Harmath; Aytekin Oto
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 6.  Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives.

Authors:  N M deSouza; J M Winfield; J C Waterton; A Weller; M-V Papoutsaki; S J Doran; D J Collins; L Fournier; D Sullivan; T Chenevert; A Jackson; M Boss; S Trattnig; Y Liu
Journal:  Eur Radiol       Date:  2017-09-27       Impact factor: 5.315

  6 in total

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