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Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas

Management of diffuse low-grade glioma (DLGG) relies extensively on tumour volume estimation from MRI datasets. Two methods are currently clinically used to define this volume: the commonly used three-diameters solution and the more rarely used software-based volume reconstruction from the manual se...

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Autores principales: Ben Abdallah, Meriem, Blonski, Marie, Wantz-Mézières, Sophie, Gaudeau, Yann., Taillandier, Luc, Moureaux, Jean-Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830888/
https://www.ncbi.nlm.nih.gov/pubmed/29515811
http://dx.doi.org/10.1049/htl.2017.0013
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author Ben Abdallah, Meriem
Blonski, Marie
Wantz-Mézières, Sophie
Gaudeau, Yann.
Taillandier, Luc
Moureaux, Jean-Marie
author_facet Ben Abdallah, Meriem
Blonski, Marie
Wantz-Mézières, Sophie
Gaudeau, Yann.
Taillandier, Luc
Moureaux, Jean-Marie
author_sort Ben Abdallah, Meriem
collection PubMed
description Management of diffuse low-grade glioma (DLGG) relies extensively on tumour volume estimation from MRI datasets. Two methods are currently clinically used to define this volume: the commonly used three-diameters solution and the more rarely used software-based volume reconstruction from the manual segmentations approach. The authors conducted an initial study of inter-practitioners’ variability of software-based manual segmentations on DLGGs MRI datasets. A panel of 13 experts from various specialties and years of experience delineated 12 DLGGs’ MRI scans. A statistical analysis on the segmented tumour volumes and pixels indicated that the individual practitioner, the years of experience and the specialty seem to have no significant impact on the segmentation of DLGGs. This is an interesting result as it had not yet been demonstrated and as it encourages cross-disciplinary collaboration. Their second study was with the three-diameters method, investigating its impact and that of the software-based volume reconstruction from manual segmentations method on tumour volume. They relied on the same dataset and on a participant from the first study. They compared the average of tumour volumes acquired by software reconstruction from manual segmentations method with tumour volumes obtained with the three-diameters method. The authors found that there is no statistically significant difference between the volumes estimated with the two approaches. These results correspond to non-operated and easily delineable DLGGs and are particularly interesting for time-consuming CUBE MRIs. Nonetheless, the three-diameters method has limitations in estimating tumour volumes for resected DLGGs, for which case the software-based manual segmentation method becomes more appropriate.
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spelling pubmed-58308882018-03-07 Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas Ben Abdallah, Meriem Blonski, Marie Wantz-Mézières, Sophie Gaudeau, Yann. Taillandier, Luc Moureaux, Jean-Marie Healthc Technol Lett Article Management of diffuse low-grade glioma (DLGG) relies extensively on tumour volume estimation from MRI datasets. Two methods are currently clinically used to define this volume: the commonly used three-diameters solution and the more rarely used software-based volume reconstruction from the manual segmentations approach. The authors conducted an initial study of inter-practitioners’ variability of software-based manual segmentations on DLGGs MRI datasets. A panel of 13 experts from various specialties and years of experience delineated 12 DLGGs’ MRI scans. A statistical analysis on the segmented tumour volumes and pixels indicated that the individual practitioner, the years of experience and the specialty seem to have no significant impact on the segmentation of DLGGs. This is an interesting result as it had not yet been demonstrated and as it encourages cross-disciplinary collaboration. Their second study was with the three-diameters method, investigating its impact and that of the software-based volume reconstruction from manual segmentations method on tumour volume. They relied on the same dataset and on a participant from the first study. They compared the average of tumour volumes acquired by software reconstruction from manual segmentations method with tumour volumes obtained with the three-diameters method. The authors found that there is no statistically significant difference between the volumes estimated with the two approaches. These results correspond to non-operated and easily delineable DLGGs and are particularly interesting for time-consuming CUBE MRIs. Nonetheless, the three-diameters method has limitations in estimating tumour volumes for resected DLGGs, for which case the software-based manual segmentation method becomes more appropriate. The Institution of Engineering and Technology 2018-01-26 /pmc/articles/PMC5830888/ /pubmed/29515811 http://dx.doi.org/10.1049/htl.2017.0013 Text en http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
spellingShingle Article
Ben Abdallah, Meriem
Blonski, Marie
Wantz-Mézières, Sophie
Gaudeau, Yann.
Taillandier, Luc
Moureaux, Jean-Marie
Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
title Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
title_full Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
title_fullStr Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
title_full_unstemmed Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
title_short Relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
title_sort relevance of two manual tumour volume estimation methods for diffuse low-grade gliomas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830888/
https://www.ncbi.nlm.nih.gov/pubmed/29515811
http://dx.doi.org/10.1049/htl.2017.0013
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