Cargando…

Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain

BACKGROUND: Diffusion tensor imaging (DTI) is increasingly used in various diseases as a clinical tool for assessing the integrity of the brain’s white matter. Reduced fractional anisotropy (FA) and an increased apparent diffusion coefficient (ADC) are nonspecific findings in most pathological proce...

Descripción completa

Detalles Bibliográficos
Autores principales: Hakulinen, Ullamari, Brander, Antti, Ryymin, Pertti, Öhman, Juha, Soimakallio, Seppo, Helminen, Mika, Dastidar, Prasun, Eskola, Hannu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533516/
https://www.ncbi.nlm.nih.gov/pubmed/23057584
http://dx.doi.org/10.1186/1471-2342-12-30
_version_ 1782254422759309312
author Hakulinen, Ullamari
Brander, Antti
Ryymin, Pertti
Öhman, Juha
Soimakallio, Seppo
Helminen, Mika
Dastidar, Prasun
Eskola, Hannu
author_facet Hakulinen, Ullamari
Brander, Antti
Ryymin, Pertti
Öhman, Juha
Soimakallio, Seppo
Helminen, Mika
Dastidar, Prasun
Eskola, Hannu
author_sort Hakulinen, Ullamari
collection PubMed
description BACKGROUND: Diffusion tensor imaging (DTI) is increasingly used in various diseases as a clinical tool for assessing the integrity of the brain’s white matter. Reduced fractional anisotropy (FA) and an increased apparent diffusion coefficient (ADC) are nonspecific findings in most pathological processes affecting the brain’s parenchyma. At present, there is no gold standard for validating diffusion measures, which are dependent on the scanning protocols, methods of the softwares and observers. Therefore, the normal variation and repeatability effects on commonly-derived measures should be carefully examined. METHODS: Thirty healthy volunteers (mean age 37.8 years, SD 11.4) underwent DTI of the brain with 3T MRI. Region-of-interest (ROI) -based measurements were calculated at eleven anatomical locations in the pyramidal tracts, corpus callosum and frontobasal area. Two ROI-based methods, the circular method (CM) and the freehand method (FM), were compared. Both methods were also compared by performing measurements on a DTI phantom. The intra- and inter-observer variability (coefficient of variation, or CV%) and repeatability (intra-class correlation coefficient, or ICC) were assessed for FA and ADC values obtained using both ROI methods. RESULTS: The mean FA values for all of the regions were 0.663 with the CM and 0.621 with the FM. For both methods, the FA was highest in the splenium of the corpus callosum. The mean ADC value was 0.727 ×10(-3) mm(2)/s with the CM and 0.747 ×10(-3) mm(2)/s with the FM, and both methods found the ADC to be lowest in the corona radiata. The CV percentages of the derived measures were < 13% with the CM and < 10% with the FM. In most of the regions, the ICCs were excellent or moderate for both methods. With the CM, the highest ICC for FA was in the posterior limb of the internal capsule (0.90), and with the FM, it was in the corona radiata (0.86). For ADC, the highest ICC was found in the genu of the corpus callosum (0.93) with the CM and in the uncinate fasciculus (0.92) with FM. CONCLUSIONS: With both ROI-based methods variability was low and repeatability was moderate. The circular method gave higher repeatability, but variation was slightly lower using the freehand method. The circular method can be recommended for the posterior limb of the internal capsule and splenium of the corpus callosum, and the freehand method for the corona radiata.
format Online
Article
Text
id pubmed-3533516
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35335162013-01-03 Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain Hakulinen, Ullamari Brander, Antti Ryymin, Pertti Öhman, Juha Soimakallio, Seppo Helminen, Mika Dastidar, Prasun Eskola, Hannu BMC Med Imaging Research Article BACKGROUND: Diffusion tensor imaging (DTI) is increasingly used in various diseases as a clinical tool for assessing the integrity of the brain’s white matter. Reduced fractional anisotropy (FA) and an increased apparent diffusion coefficient (ADC) are nonspecific findings in most pathological processes affecting the brain’s parenchyma. At present, there is no gold standard for validating diffusion measures, which are dependent on the scanning protocols, methods of the softwares and observers. Therefore, the normal variation and repeatability effects on commonly-derived measures should be carefully examined. METHODS: Thirty healthy volunteers (mean age 37.8 years, SD 11.4) underwent DTI of the brain with 3T MRI. Region-of-interest (ROI) -based measurements were calculated at eleven anatomical locations in the pyramidal tracts, corpus callosum and frontobasal area. Two ROI-based methods, the circular method (CM) and the freehand method (FM), were compared. Both methods were also compared by performing measurements on a DTI phantom. The intra- and inter-observer variability (coefficient of variation, or CV%) and repeatability (intra-class correlation coefficient, or ICC) were assessed for FA and ADC values obtained using both ROI methods. RESULTS: The mean FA values for all of the regions were 0.663 with the CM and 0.621 with the FM. For both methods, the FA was highest in the splenium of the corpus callosum. The mean ADC value was 0.727 ×10(-3) mm(2)/s with the CM and 0.747 ×10(-3) mm(2)/s with the FM, and both methods found the ADC to be lowest in the corona radiata. The CV percentages of the derived measures were < 13% with the CM and < 10% with the FM. In most of the regions, the ICCs were excellent or moderate for both methods. With the CM, the highest ICC for FA was in the posterior limb of the internal capsule (0.90), and with the FM, it was in the corona radiata (0.86). For ADC, the highest ICC was found in the genu of the corpus callosum (0.93) with the CM and in the uncinate fasciculus (0.92) with FM. CONCLUSIONS: With both ROI-based methods variability was low and repeatability was moderate. The circular method gave higher repeatability, but variation was slightly lower using the freehand method. The circular method can be recommended for the posterior limb of the internal capsule and splenium of the corpus callosum, and the freehand method for the corona radiata. BioMed Central 2012-10-11 /pmc/articles/PMC3533516/ /pubmed/23057584 http://dx.doi.org/10.1186/1471-2342-12-30 Text en Copyright ©2012 Hakulinen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hakulinen, Ullamari
Brander, Antti
Ryymin, Pertti
Öhman, Juha
Soimakallio, Seppo
Helminen, Mika
Dastidar, Prasun
Eskola, Hannu
Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
title Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
title_full Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
title_fullStr Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
title_full_unstemmed Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
title_short Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
title_sort repeatability and variation of region-of-interest methods using quantitative diffusion tensor mr imaging of the brain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533516/
https://www.ncbi.nlm.nih.gov/pubmed/23057584
http://dx.doi.org/10.1186/1471-2342-12-30
work_keys_str_mv AT hakulinenullamari repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT branderantti repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT ryyminpertti repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT ohmanjuha repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT soimakallioseppo repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT helminenmika repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT dastidarprasun repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain
AT eskolahannu repeatabilityandvariationofregionofinterestmethodsusingquantitativediffusiontensormrimagingofthebrain