Literature DB >> 22154286

Early changes in apparent diffusion coefficient from diffusion-weighted MR imaging during radiotherapy for prostate cancer.

Sung Yoon Park1, Chan Kyo Kim, Byung Kwan Park, Won Park, Hee Chul Park, Deok Hyun Han, Bohyun Kim.   

Abstract

PURPOSE: To investigate the feasibility of diffusion-weighted MRI (DWI) as an early and reproducible change indicator in patients receiving radiotherapy for prostate cancer (PC). METHODS AND MATERIALS: Eight consecutive patients with biopsy-proven PC underwent DWI at 3T. All patients who received external-beam radiotherapy had four serial MR scans, as follows: before therapy (PreTx); after 1 week of therapy (PostT1); after 3 weeks of therapy (PostT2); and 1 month after the completion of therapy (PostT3). At each time, the apparent diffusion coefficient (ADC) was measured in tumors and normal tissues. For reproducibility of the ADC measurement, five patients also had two separate pretreatment DWI scans at an interval of <2 weeks. Serum prostate-specific antigen (PSA) levels were evaluated at the same time as MR scans.
RESULTS: Thirteen tumors (peripheral zone = 10; transition zone = 3) were found. The mean ADC values for the tumors from PreTx to PostT3 were 0.86, 1.03, 1.15, and 1.26 × 10(-3) mm(2)/s in sequence, respectively. Compared with PreTx, PostT1 (p = 0.005), PostT2 (p = 0.003), and PostT3 (p < 0.001) showed a significant increase in ADC values. The mean ADC values of the benign tissues from PreTx to PostT3 were 1.60, 1.58, 1.47, and 1.46 × 10(-3) mm(2)/s in sequence, respectively. Reproducibility of ADC measurements was confirmed with a mean difference in ADC of -0.04 in peripheral zone and -0.017 in transition zone between two separate pretreatment MR scans. The mean PSA levels from PreTx to PostT3 were 9.05, 9.18, 9.25, and 4.11 ng/mL in sequence, respectively.
CONCLUSIONS: DWI, as a reproducible biomarker, has the potential to evaluate the early therapeutic changes of PC to radiotherapy.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22154286     DOI: 10.1016/j.ijrobp.2011.06.2009

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  12 in total

1.  Quantitative evaluation of diffusion-weighted imaging techniques for the purposes of radiotherapy planning in the prostate.

Authors:  G P Liney; L Holloway; T M Al Harthi; M Sidhom; D Moses; E Juresic; R Rai; D J Manton
Journal:  Br J Radiol       Date:  2015-03-05       Impact factor: 3.039

2.  Feasibility study of computed vs measured high b-value (1400 s/mm²) diffusion-weighted MR images of the prostate.

Authors:  Leonardo K Bittencourt; Ulrike I Attenberger; Daniel Lima; Ralph Strecker; Andre de Oliveira; Stefan O Schoenberg; Emerson L Gasparetto; Daniel Hausmann
Journal:  World J Radiol       Date:  2014-06-28

3.  Dynamic contrast-enhanced magnetic resonance imaging in prostate cancer clinical trials: potential roles and possible pitfalls.

Authors:  Fiona M Fennessy; Rana R McKay; Clair J Beard; Mary-Ellen Taplin; Clare M Tempany
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

4.  ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium.

Authors:  Ernst S Kooreman; Petra J van Houdt; Rick Keesman; Floris J Pos; Vivian W J van Pelt; Marlies E Nowee; Andreas Wetscherek; Rob H N Tijssen; Marielle E P Philippens; Daniela Thorwarth; Jihong Wang; Amita Shukla-Dave; William A Hall; Eric S Paulson; Uulke A van der Heide
Journal:  Radiother Oncol       Date:  2020-10-02       Impact factor: 6.280

Review 5.  The expanding landscape of diffusion-weighted MRI in prostate cancer.

Authors:  Andreas G Wibmer; Evis Sala; Hedvig Hricak; Hebert Alberto Vargas
Journal:  Abdom Radiol (NY)       Date:  2016-05

6.  The predictive role of ADC values in prostate cancer patients treated with carbon-ion radiotherapy: initial clinical experience at Shanghai Proton and Heavy Ion Center (SPHIC).

Authors:  Wei-Xiang Qi; Qing Zhang; Ping Li; Xiao-Meng Zhang; Guang-Yuan Zhang; Bin Wu; Jiade J Lu; Guo-Liang Jiang; Shen Fu
Journal:  J Cancer Res Clin Oncol       Date:  2016-03-23       Impact factor: 4.553

Review 7.  The transformation of radiation oncology using real-time magnetic resonance guidance: A review.

Authors:  William A Hall; Eric S Paulson; Uulke A van der Heide; Clifton D Fuller; B W Raaymakers; Jan J W Lagendijk; X Allen Li; David A Jaffray; Laura A Dawson; Beth Erickson; Marcel Verheij; Kevin J Harrington; Arjun Sahgal; Percy Lee; Parag J Parikh; Michael F Bassetti; Clifford G Robinson; Bruce D Minsky; Ananya Choudhury; Robert J H A Tersteeg; Christopher J Schultz
Journal:  Eur J Cancer       Date:  2019-10-12       Impact factor: 9.162

Review 8.  Basic concepts and applications of functional magnetic resonance imaging for radiotherapy of prostate cancer.

Authors:  Lars E Olsson; Mikael Johansson; Björn Zackrisson; Lennart K Blomqvist
Journal:  Phys Imaging Radiat Oncol       Date:  2019-02-25

9.  Can diffusion-weighted magnetic resonance imaging predict a high Gleason score of prostate cancer?

Authors:  Katsumi Shigemura; Nozomu Yamanaka; Masuo Yamashita
Journal:  Korean J Urol       Date:  2013-04-16

10.  Diffusion weighted MRI as an early predictor of tumor response to hypofractionated stereotactic boost for prostate cancer.

Authors:  David Pasquier; Abderraouf Hadj Henni; Alexandre Escande; Emmanuelle Tresch; Nick Reynaert; Olivier Colot; Eric Lartigau; Nacim Betrouni
Journal:  Sci Rep       Date:  2018-07-10       Impact factor: 4.379

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