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Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma

Jonathan Phillips, Ioannis Papadopoulos, Jonathan Phillips, Rhodri Evans, Neil Fenn, Sophie Shermer Orcid Logo

Magnetic Resonance Imaging, Volume: 47, Pages: 131 - 136

Swansea University Authors: Jonathan Phillips, Sophie Shermer Orcid Logo

Abstract

Data from a multi-parameteric MRI study of patients with possible early-stage prostate cancer was assessed with a view to creating an efficient clinical protocol. Based on a correlation analysis suggesting that diffusion-weighted imaging (DWI) scores are more strongly correlated with overall PIRADS...

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Published in: Magnetic Resonance Imaging
ISSN: 0730725X
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa37301
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spelling 2020-06-26T11:23:31.5973555 v2 37301 2017-12-01 Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma fa6ea86a487846d02af30d262acc8265 Jonathan Phillips Jonathan Phillips true false 6ebef22eb31eafc75aedcf5bfe487777 0000-0002-5530-7750 Sophie Shermer Sophie Shermer true false 2017-12-01 FGMHL Data from a multi-parameteric MRI study of patients with possible early-stage prostate cancer was assessed with a view to creating an efficient clinical protocol. Based on a correlation analysis suggesting that diffusion-weighted imaging (DWI) scores are more strongly correlated with overall PIRADS scores than other modalities such as dynamic contrast enhanced imaging or spectroscopy, we investigate the combination of T2-weighted imaging (T2w) and DWI as a potential diagnostic tool for prostate cancer detection, staging and guided biopsies. Quantification of the noise floor in the DWI images and careful fitting of the data suggests that the mono-exponential model provides a very good fit to the data and there is no evidence of non-Guassian diffusion for b-values up to 1000 s/mm2. This precludes the use of kurtosis or other non-Gaussian measures as a biomarker for prostate cancer in our case. However, the ADC scores for healthy and probably malignant regions are significantly lower for the latter in all 20 but one patient. The results suggest that a simplified mp-MRI protocol combining T2w and DWI may be a good compromise for a cost and time efficient, early-stage prostate cancer diagnostic programme, combining robust MR biomarkers for prostate cancer that can be reliably quantified and appear well-suited for general clinical practice. Journal Article Magnetic Resonance Imaging 47 131 136 0730725X MRI, DWI, Prostate Cancer, PIRADS 30 4 2018 2018-04-30 10.1016/j.mri.2017.11.014 COLLEGE NANME Medicine, Health and Life Science - Faculty COLLEGE CODE FGMHL Swansea University 2020-06-26T11:23:31.5973555 2017-12-01T20:44:38.0468250 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics Jonathan Phillips 1 Ioannis Papadopoulos 2 Jonathan Phillips 3 Rhodri Evans 4 Neil Fenn 5 Sophie Shermer 0000-0002-5530-7750 6 0037301-20122017124807.pdf 37301.pdf 2017-12-20T12:48:07.3100000 Output 368617 application/pdf Accepted Manuscript true 2018-12-02T00:00:00.0000000 12 month embargo. true eng
title Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
spellingShingle Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
Jonathan Phillips
Sophie Shermer
title_short Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
title_full Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
title_fullStr Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
title_full_unstemmed Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
title_sort Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma
author_id_str_mv fa6ea86a487846d02af30d262acc8265
6ebef22eb31eafc75aedcf5bfe487777
author_id_fullname_str_mv fa6ea86a487846d02af30d262acc8265_***_Jonathan Phillips
6ebef22eb31eafc75aedcf5bfe487777_***_Sophie Shermer
author Jonathan Phillips
Sophie Shermer
author2 Jonathan Phillips
Ioannis Papadopoulos
Jonathan Phillips
Rhodri Evans
Neil Fenn
Sophie Shermer
format Journal article
container_title Magnetic Resonance Imaging
container_volume 47
container_start_page 131
publishDate 2018
institution Swansea University
issn 0730725X
doi_str_mv 10.1016/j.mri.2017.11.014
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Physics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Physics
document_store_str 1
active_str 0
description Data from a multi-parameteric MRI study of patients with possible early-stage prostate cancer was assessed with a view to creating an efficient clinical protocol. Based on a correlation analysis suggesting that diffusion-weighted imaging (DWI) scores are more strongly correlated with overall PIRADS scores than other modalities such as dynamic contrast enhanced imaging or spectroscopy, we investigate the combination of T2-weighted imaging (T2w) and DWI as a potential diagnostic tool for prostate cancer detection, staging and guided biopsies. Quantification of the noise floor in the DWI images and careful fitting of the data suggests that the mono-exponential model provides a very good fit to the data and there is no evidence of non-Guassian diffusion for b-values up to 1000 s/mm2. This precludes the use of kurtosis or other non-Gaussian measures as a biomarker for prostate cancer in our case. However, the ADC scores for healthy and probably malignant regions are significantly lower for the latter in all 20 but one patient. The results suggest that a simplified mp-MRI protocol combining T2w and DWI may be a good compromise for a cost and time efficient, early-stage prostate cancer diagnostic programme, combining robust MR biomarkers for prostate cancer that can be reliably quantified and appear well-suited for general clinical practice.
published_date 2018-04-30T03:46:57Z
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