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Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging

BACKGROUND: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique used for evaluating changes in the white matter in brain parenchyma. The reliability of quantitative DTI analysis is influenced by several factors, such as the imaging protocol, pre-processing and post-process...

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Autores principales: Hakulinen, Ullamari, Brander, Antti, Ilvesmäki, Tero, Helminen, Mika, Öhman, Juha, Luoto, Teemu M., Eskola, Hannu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491381/
https://www.ncbi.nlm.nih.gov/pubmed/34607554
http://dx.doi.org/10.1186/s12880-021-00663-8
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author Hakulinen, Ullamari
Brander, Antti
Ilvesmäki, Tero
Helminen, Mika
Öhman, Juha
Luoto, Teemu M.
Eskola, Hannu
author_facet Hakulinen, Ullamari
Brander, Antti
Ilvesmäki, Tero
Helminen, Mika
Öhman, Juha
Luoto, Teemu M.
Eskola, Hannu
author_sort Hakulinen, Ullamari
collection PubMed
description BACKGROUND: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique used for evaluating changes in the white matter in brain parenchyma. The reliability of quantitative DTI analysis is influenced by several factors, such as the imaging protocol, pre-processing and post-processing methods, and selected diffusion parameters. The region-of-interest (ROI) method is most widely used of the post-processing methods because it is found in commercial software. The focus of our research was to study the reliability of the freehand ROI method using various intra- and inter-observer analyses. METHODS: This study included 40 neurologically healthy participants who underwent diffusion MRI of the brain with a 3 T scanner. The measurements were performed at nine different anatomical locations using a freehand ROI method. The data extracted from the ROIs included the regional mean values, intra- and inter-observer variability and reliability. The used DTI parameters were fractional anisotropy (FA), the apparent diffusion coefficient (ADC), and axial (AD) and radial (RD) diffusivity. RESULTS: The average intra-class correlation coefficient (ICC) of the intra-observer was found to be 0.9 (excellent). The single ICC results were excellent (> 0.8) or adequate (> 0.69) in eight out of the nine regions in terms of FA and ADC. The most reliable results were found in the frontobasal regions. Significant differences between age groups were also found in the frontobasal regions. Specifically, the FA and AD values were significantly higher and the RD values lower in the youngest age group (18–30 years) compared to the other age groups. CONCLUSIONS: The quantitative freehand ROI method can be considered highly reliable for the average ICC and mostly adequate for the single ICC. The freehand method is suitable for research work with a well-experienced observer. Measurements should be performed at least twice in the same region to ensure that the results are sufficiently reliable. In our study, reliability was slightly undermined by artifacts in some regions such as the cerebral peduncle and centrum semiovale. From a clinical point of view, the results are most reliable in adults under the age of 30, when age-related changes in brain white matter have not yet occurred.
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spelling pubmed-84913812021-10-05 Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging Hakulinen, Ullamari Brander, Antti Ilvesmäki, Tero Helminen, Mika Öhman, Juha Luoto, Teemu M. Eskola, Hannu BMC Med Imaging Research BACKGROUND: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique used for evaluating changes in the white matter in brain parenchyma. The reliability of quantitative DTI analysis is influenced by several factors, such as the imaging protocol, pre-processing and post-processing methods, and selected diffusion parameters. The region-of-interest (ROI) method is most widely used of the post-processing methods because it is found in commercial software. The focus of our research was to study the reliability of the freehand ROI method using various intra- and inter-observer analyses. METHODS: This study included 40 neurologically healthy participants who underwent diffusion MRI of the brain with a 3 T scanner. The measurements were performed at nine different anatomical locations using a freehand ROI method. The data extracted from the ROIs included the regional mean values, intra- and inter-observer variability and reliability. The used DTI parameters were fractional anisotropy (FA), the apparent diffusion coefficient (ADC), and axial (AD) and radial (RD) diffusivity. RESULTS: The average intra-class correlation coefficient (ICC) of the intra-observer was found to be 0.9 (excellent). The single ICC results were excellent (> 0.8) or adequate (> 0.69) in eight out of the nine regions in terms of FA and ADC. The most reliable results were found in the frontobasal regions. Significant differences between age groups were also found in the frontobasal regions. Specifically, the FA and AD values were significantly higher and the RD values lower in the youngest age group (18–30 years) compared to the other age groups. CONCLUSIONS: The quantitative freehand ROI method can be considered highly reliable for the average ICC and mostly adequate for the single ICC. The freehand method is suitable for research work with a well-experienced observer. Measurements should be performed at least twice in the same region to ensure that the results are sufficiently reliable. In our study, reliability was slightly undermined by artifacts in some regions such as the cerebral peduncle and centrum semiovale. From a clinical point of view, the results are most reliable in adults under the age of 30, when age-related changes in brain white matter have not yet occurred. BioMed Central 2021-10-04 /pmc/articles/PMC8491381/ /pubmed/34607554 http://dx.doi.org/10.1186/s12880-021-00663-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hakulinen, Ullamari
Brander, Antti
Ilvesmäki, Tero
Helminen, Mika
Öhman, Juha
Luoto, Teemu M.
Eskola, Hannu
Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
title Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
title_full Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
title_fullStr Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
title_full_unstemmed Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
title_short Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
title_sort reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491381/
https://www.ncbi.nlm.nih.gov/pubmed/34607554
http://dx.doi.org/10.1186/s12880-021-00663-8
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