Cargando…

Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification

Objectives: To evaluate white matter hyperintensities (WMH) quantification reproducibility from multiple aspects of view and examine the effects of scan–rescan procedure, types of scanner, imaging protocols, scanner software upgrade, and automatic segmentation tools on WMH quantification results usi...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Chunjie, Niu, Kai, Luo, Yishan, Shi, Lin, Wang, Zhuo, Zhao, Meng, Wang, Defeng, Zhu, Wan’an, Zhang, Huimao, Sun, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635556/
https://www.ncbi.nlm.nih.gov/pubmed/31354406
http://dx.doi.org/10.3389/fnins.2019.00679
_version_ 1783435905790377984
author Guo, Chunjie
Niu, Kai
Luo, Yishan
Shi, Lin
Wang, Zhuo
Zhao, Meng
Wang, Defeng
Zhu, Wan’an
Zhang, Huimao
Sun, Li
author_facet Guo, Chunjie
Niu, Kai
Luo, Yishan
Shi, Lin
Wang, Zhuo
Zhao, Meng
Wang, Defeng
Zhu, Wan’an
Zhang, Huimao
Sun, Li
author_sort Guo, Chunjie
collection PubMed
description Objectives: To evaluate white matter hyperintensities (WMH) quantification reproducibility from multiple aspects of view and examine the effects of scan–rescan procedure, types of scanner, imaging protocols, scanner software upgrade, and automatic segmentation tools on WMH quantification results using magnetic resonance imaging (MRI). Methods: Six post-stroke subjects (4 males; mean age = 62.8, range = 58–72 years) were scanned and rescanned with both 3D T1-weighted, 2D and 3D T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) MRI across four different MRI scanners within 12 h. Two automated WMH segmentation and quantification tools were used to measure WMH volume based on each MR scan. Robustness was assessed using the coefficient of variation (CV), Dice similarity coefficient (DSC), and intra-class correlation (ICC). Results: Experimental results show that the best reproducibility was achieved by using 3D T2-FLAIR MRI under intra-scanner setting with CV ranging from 2.69 to 2.97%, while the largest variability resulted from comparing WMH volumes measured based on 2D T2-FLAIR MRI with those of 3D T2-FLAIR MRI, with CV values in the range of 15.62%–29.33%. The WMH quantification variability based on 2D MRIs is larger than 3D MRIs due to their large slice thickness. The DSC of WMH segmentation labels between intra-scanner MRIs ranges from 0.63 to 0.77, while that for inter-scanner MRIs is in the range of 0.63–0.65. In addition to image acquisition, the choice of automatic WMH segmentation tool also has a large impact on WMH quantification. Conclusion: WMH reproducibility is one of the primary issues to be considered in multicenter and longitudinal studies. The study provides solid guidance in assisting multicenter and longitudinal study design to achieve meaningful results with enough power.
format Online
Article
Text
id pubmed-6635556
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-66355562019-07-26 Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification Guo, Chunjie Niu, Kai Luo, Yishan Shi, Lin Wang, Zhuo Zhao, Meng Wang, Defeng Zhu, Wan’an Zhang, Huimao Sun, Li Front Neurosci Neuroscience Objectives: To evaluate white matter hyperintensities (WMH) quantification reproducibility from multiple aspects of view and examine the effects of scan–rescan procedure, types of scanner, imaging protocols, scanner software upgrade, and automatic segmentation tools on WMH quantification results using magnetic resonance imaging (MRI). Methods: Six post-stroke subjects (4 males; mean age = 62.8, range = 58–72 years) were scanned and rescanned with both 3D T1-weighted, 2D and 3D T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) MRI across four different MRI scanners within 12 h. Two automated WMH segmentation and quantification tools were used to measure WMH volume based on each MR scan. Robustness was assessed using the coefficient of variation (CV), Dice similarity coefficient (DSC), and intra-class correlation (ICC). Results: Experimental results show that the best reproducibility was achieved by using 3D T2-FLAIR MRI under intra-scanner setting with CV ranging from 2.69 to 2.97%, while the largest variability resulted from comparing WMH volumes measured based on 2D T2-FLAIR MRI with those of 3D T2-FLAIR MRI, with CV values in the range of 15.62%–29.33%. The WMH quantification variability based on 2D MRIs is larger than 3D MRIs due to their large slice thickness. The DSC of WMH segmentation labels between intra-scanner MRIs ranges from 0.63 to 0.77, while that for inter-scanner MRIs is in the range of 0.63–0.65. In addition to image acquisition, the choice of automatic WMH segmentation tool also has a large impact on WMH quantification. Conclusion: WMH reproducibility is one of the primary issues to be considered in multicenter and longitudinal studies. The study provides solid guidance in assisting multicenter and longitudinal study design to achieve meaningful results with enough power. Frontiers Media S.A. 2019-07-10 /pmc/articles/PMC6635556/ /pubmed/31354406 http://dx.doi.org/10.3389/fnins.2019.00679 Text en Copyright © 2019 Guo, Niu, Luo, Shi, Wang, Zhao, Wang, Zhu, Zhang and Sun. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Guo, Chunjie
Niu, Kai
Luo, Yishan
Shi, Lin
Wang, Zhuo
Zhao, Meng
Wang, Defeng
Zhu, Wan’an
Zhang, Huimao
Sun, Li
Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
title Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
title_full Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
title_fullStr Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
title_full_unstemmed Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
title_short Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
title_sort intra-scanner and inter-scanner reproducibility of automatic white matter hyperintensities quantification
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635556/
https://www.ncbi.nlm.nih.gov/pubmed/31354406
http://dx.doi.org/10.3389/fnins.2019.00679
work_keys_str_mv AT guochunjie intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT niukai intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT luoyishan intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT shilin intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT wangzhuo intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT zhaomeng intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT wangdefeng intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT zhuwanan intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT zhanghuimao intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification
AT sunli intrascannerandinterscannerreproducibilityofautomaticwhitematterhyperintensitiesquantification