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...
| Published in: | Frontiers in Neuroscience |
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| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2019-07-01
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2019.00679/full |
| _version_ | 1852761735217283072 |
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| author | Chunjie Guo Kai Niu Yishan Luo Lin Shi Lin Shi Zhuo Wang Meng Zhao Defeng Wang Defeng Wang Wan’an Zhu Huimao Zhang Li Sun |
| author_facet | Chunjie Guo Kai Niu Yishan Luo Lin Shi Lin Shi Zhuo Wang Meng Zhao Defeng Wang Defeng Wang Wan’an Zhu Huimao Zhang Li Sun |
| author_sort | Chunjie Guo |
| collection | DOAJ |
| container_title | Frontiers in Neuroscience |
| 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 | Article |
| id | doaj-art-0fcf6ee675914fdca5cbdda3ad72b00a |
| institution | Directory of Open Access Journals |
| issn | 1662-453X |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| spelling | doaj-art-0fcf6ee675914fdca5cbdda3ad72b00a2025-08-19T20:55:46ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-07-011310.3389/fnins.2019.00679447716Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities QuantificationChunjie Guo0Kai Niu1Yishan Luo2Lin Shi3Lin Shi4Zhuo Wang5Meng Zhao6Defeng Wang7Defeng Wang8Wan’an Zhu9Huimao Zhang10Li Sun11Department of Radiology, The First Hospital of Jilin University, Changchun, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, The First Hospital of Jilin University, Changchun, ChinaBrainNow Medical Technology Limited, Sha Tin, Hong KongBrainNow Medical Technology Limited, Sha Tin, Hong KongDepartment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Sha Tin, Hong KongDepartment of Radiology, The First Hospital of Jilin University, Changchun, ChinaDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, ChinaDepartment of Radiology, The First Hospital of Jilin University, Changchun, ChinaDepartment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Sha Tin, Hong KongDepartment of Radiology, The First Hospital of Jilin University, Changchun, ChinaDepartment of Radiology, The First Hospital of Jilin University, Changchun, ChinaDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, ChinaObjectives: 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.https://www.frontiersin.org/article/10.3389/fnins.2019.00679/fullreproducibility of resultswhite mattermagnetic resonance imagingbrainimagingthree-dimensional |
| spellingShingle | Chunjie Guo Kai Niu Yishan Luo Lin Shi Lin Shi Zhuo Wang Meng Zhao Defeng Wang Defeng Wang Wan’an Zhu Huimao Zhang Li Sun Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification reproducibility of results white matter magnetic resonance imaging brain imaging three-dimensional |
| 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 | reproducibility of results white matter magnetic resonance imaging brain imaging three-dimensional |
| url | https://www.frontiersin.org/article/10.3389/fnins.2019.00679/full |
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