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Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score

INTRODUCTION: The purpose was to investigate the usefulness of ADC(ratio) on Diffusion MRI to discriminate between benign and malignant lesions of Prostate. METHODS: Images of patients who underwent in-gantry MRI guided prostate lesion biopsy were retrospectively analyzed. Prostate Cancers with 20%...

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Autores principales: Jyoti, Rajeev, Jain, Tarun Pankaj, Haxhimolla, Hodo, Liddell, Heath, Barrett, Sean Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910169/
https://www.ncbi.nlm.nih.gov/pubmed/29687050
http://dx.doi.org/10.1016/j.ejro.2018.03.002
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author Jyoti, Rajeev
Jain, Tarun Pankaj
Haxhimolla, Hodo
Liddell, Heath
Barrett, Sean Edward
author_facet Jyoti, Rajeev
Jain, Tarun Pankaj
Haxhimolla, Hodo
Liddell, Heath
Barrett, Sean Edward
author_sort Jyoti, Rajeev
collection PubMed
description INTRODUCTION: The purpose was to investigate the usefulness of ADC(ratio) on Diffusion MRI to discriminate between benign and malignant lesions of Prostate. METHODS: Images of patients who underwent in-gantry MRI guided prostate lesion biopsy were retrospectively analyzed. Prostate Cancers with 20% or more Gleason score (GS) pattern 3 + 3 = 6 in each core or any volume of higher Gleason score pattern were included. ADC(ratio) was calculated by two reviewers for each lesion. The ADC(ratio) was calculated for each lesion by dividing the lowest ADC value in a lesion and highest ADC value in normal prostate in peripheral zone (PZ). ADC(ratio) values were compared with the biopsy result. Data was analysed using independent samples T-test, Spearman correlation, intra-class correlation coefficient (ICC) and Receiver operating characteristic (ROC) curve. RESULTS: 45 lesions in 33 patients were analyzed. 12 lesions were in transitional zone (TZ) and 33 in perpheral zone PZ. All lesions demonstrated an ADC(ratio) of 0.45 or lower. GS demonstrated a negative correlation with both the ADC value and ADC(ratio). However, ADC(ratio) (p < 0.001) demonstrated a stronger correlation compared to ADC value alone (p = 0.014). There was no significant statistical difference between GS 3 + 4 and GS 4 + 3 mean ADC(tumour) value (p = 0.167). However when using ADC(ratio), there was a significant difference (p = 0.032). ROC curve analysis demonstrated an area under the curve of 0.83 using ADC(ratio) and 0.76 when using ADC(tumour) value when discriminating Gleason 6 from Gleason ≥7 tumours. Inter-observer reliability in the calculation of ADC ratios was excellent, with ICC of 0.964. CONCLUSION: ADC(ratio) is a reliable and reproducible tool in quantification of diffusion restriction for clinically significant prostate cancer foci.
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spelling pubmed-59101692018-04-23 Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score Jyoti, Rajeev Jain, Tarun Pankaj Haxhimolla, Hodo Liddell, Heath Barrett, Sean Edward Eur J Radiol Open Article INTRODUCTION: The purpose was to investigate the usefulness of ADC(ratio) on Diffusion MRI to discriminate between benign and malignant lesions of Prostate. METHODS: Images of patients who underwent in-gantry MRI guided prostate lesion biopsy were retrospectively analyzed. Prostate Cancers with 20% or more Gleason score (GS) pattern 3 + 3 = 6 in each core or any volume of higher Gleason score pattern were included. ADC(ratio) was calculated by two reviewers for each lesion. The ADC(ratio) was calculated for each lesion by dividing the lowest ADC value in a lesion and highest ADC value in normal prostate in peripheral zone (PZ). ADC(ratio) values were compared with the biopsy result. Data was analysed using independent samples T-test, Spearman correlation, intra-class correlation coefficient (ICC) and Receiver operating characteristic (ROC) curve. RESULTS: 45 lesions in 33 patients were analyzed. 12 lesions were in transitional zone (TZ) and 33 in perpheral zone PZ. All lesions demonstrated an ADC(ratio) of 0.45 or lower. GS demonstrated a negative correlation with both the ADC value and ADC(ratio). However, ADC(ratio) (p < 0.001) demonstrated a stronger correlation compared to ADC value alone (p = 0.014). There was no significant statistical difference between GS 3 + 4 and GS 4 + 3 mean ADC(tumour) value (p = 0.167). However when using ADC(ratio), there was a significant difference (p = 0.032). ROC curve analysis demonstrated an area under the curve of 0.83 using ADC(ratio) and 0.76 when using ADC(tumour) value when discriminating Gleason 6 from Gleason ≥7 tumours. Inter-observer reliability in the calculation of ADC ratios was excellent, with ICC of 0.964. CONCLUSION: ADC(ratio) is a reliable and reproducible tool in quantification of diffusion restriction for clinically significant prostate cancer foci. Elsevier 2018-03-30 /pmc/articles/PMC5910169/ /pubmed/29687050 http://dx.doi.org/10.1016/j.ejro.2018.03.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Jyoti, Rajeev
Jain, Tarun Pankaj
Haxhimolla, Hodo
Liddell, Heath
Barrett, Sean Edward
Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score
title Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score
title_full Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score
title_fullStr Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score
title_full_unstemmed Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score
title_short Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score
title_sort correlation of apparent diffusion coefficient ratio on 3.0 t mri with prostate cancer gleason score
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910169/
https://www.ncbi.nlm.nih.gov/pubmed/29687050
http://dx.doi.org/10.1016/j.ejro.2018.03.002
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