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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
Magnetic Resonance Imaging, Volume: 47, Pages: 131 - 136
Swansea University Authors: Jonathan Phillips, Sophie Shermer
DOI (Published version): 10.1016/j.mri.2017.11.014
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...
Published in: | Magnetic Resonance Imaging |
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ISSN: | 0730725X |
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2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa37301 |
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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 MEDS 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 Medical School COLLEGE CODE MEDS 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 |
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Journal article |
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Magnetic Resonance Imaging |
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47 |
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2018 |
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Swansea University |
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10.1016/j.mri.2017.11.014 |
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Faculty of Science and Engineering |
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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 |
2018-04-30T13:21:18Z |
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11.048042 |