Literature DB >> 26264185

Readout-segmented echo-planar diffusion-weighted imaging improves geometric performance for image-guided radiation therapy of pelvic tumors.

Warren D Foltz1, David A Porter2, Anna Simeonov3, Amanda Aleong3, David Jaffray3, Peter Chung3, Kathy Han3, Cynthia Ménard3.   

Abstract

BACKGROUND AND
PURPOSE: Diffusion-weighted imaging using echo-planar imaging (EPI) is prone to geometric inaccuracy, which may limit application to image-guided radiation therapy planning, as well as for voxel-based quantitative multi-parametric or multi-modal approaches. This research investigates pelvic applications at 3 T of a standard single-shot (ssEPI) and a prototype readout-segmented (rsEPI) technique.
MATERIALS AND METHODS: Apparent diffusion coefficient (ADC) accuracy and geometric performance of rsEPI and ssEPI were compared using phantoms, and in vivo, involving 8 patients prior to MR-guided brachytherapy for locally advanced cervical cancer, and 19 patients with prostate cancer planned for tumor-targeted radiotherapy. Global and local deviations in geometric performance were tested using Dice Similarity Coefficients (DC) and Hausdorff Distances (HD).
RESULTS: In cervix patients, DC increased from 0.76±0.14 to 0.91±0.05 for the high risk clinical target volume, and 0.62±0.26 to 0.85±0.08 for the gross tumor target volume. Tumors in the peripheral zone of the prostate gland were partly projected erroneously outside of the posterior anatomic boundary of the gland by 3.1±1.6 mm in 11 of 19 patients using ADC-ssEPI but not with ADC-rsEPI.
CONCLUSIONS: Both cervix and prostate ssEPI are prone to clinically relevant geometric distortions at 3T. rsEPI provides improved geometric performance without post-processing.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cervical cancer; Diffusion weighted imaging; Geometric distortion; Image-guided radiotherapy; MRI; Prostate cancer

Mesh:

Year:  2015        PMID: 26264185     DOI: 10.1016/j.radonc.2015.07.046

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  7 in total

1.  Clinical use of magnetic resonance imaging across the prostate brachytherapy workflow.

Authors:  P Blanchard; C Ménard; S J Frank
Journal:  Brachytherapy       Date:  2017-01-30       Impact factor: 2.362

2.  Comparison between readout-segmented and single-shot echo-planar imaging in the evaluation of cervical cancer staging.

Authors:  Weiliang Qian; Qian Chen; Zhongshuai Zhang; Hong Wang; Jibin Zhang; Jianming Xu
Journal:  Br J Radiol       Date:  2018-11-01       Impact factor: 3.039

Review 3.  Image formation in diffusion MRI: A review of recent technical developments.

Authors:  Wenchuan Wu; Karla L Miller
Journal:  J Magn Reson Imaging       Date:  2017-02-14       Impact factor: 4.813

4.  Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction.

Authors:  Lars Bielak; Nicole Wiedenmann; Nils Henrik Nicolay; Thomas Lottner; Johannes Fischer; Hatice Bunea; Anca-Ligia Grosu; Michael Bock
Journal:  Tomography       Date:  2019-09

5.  Applicability of readout-segmented echoplanar diffusion weighted imaging for prostate MRI.

Authors:  Susanne Hellms; Marcel Gutberlet; Matti Joonas Peperhove; Stefanie Pertschy; Christoph Henkenberens; Inga Peters; Frank Wacker; Katja Derlin
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

6.  Changes in apparent diffusion coefficient radiomics features during dose-painted radiotherapy and high dose rate brachytherapy for prostate cancer.

Authors:  Sangjune Laurence Lee; Jenny Lee; Tim Craig; Alejandro Berlin; Peter Chung; Cynthia Ménard; Warren D Foltz
Journal:  Phys Imaging Radiat Oncol       Date:  2018-12-19

Review 7.  Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy.

Authors:  Sara Leibfarth; René M Winter; Heidi Lyng; Daniel Zips; Daniela Thorwarth
Journal:  Clin Transl Radiat Oncol       Date:  2018-09-20
  7 in total

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