New and enlarging white matter lesions adjacent to the ventricle system and thalamic atrophy are independently associated with lateral ventricular enlargement in multiple sclerosis

Sinnecker, Tim; Ruberte, Esther; Schädelin, Sabine; Canova, Vera; Amann, Michael; Naegelin, Yvonne; Penner, Iris‐Katharina; Müller, Jannis; Kuhle, Jens; Décard, Bernhard F.; Kappos, Ludwig; Granziera, Cristina; Wuerfel, Jens; Magon, Stefano; Yaldizli, Özgür

doi:10.1007/s00415-019-09565-w

Cited by 13 publications

(18 citation statements)

References 28 publications

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“…Enlargement of the lateral and third ventricles occurs in normal aging ( Bastin et al, 2010 , Inatomi et al, 2008 ) and in several diseases including normal pressure hydrocephalus ( Alperin et al, 2014 ), multiple sclerosis ( Dwyer et al, 2018 , Sinnecker et al, 2020 ), small vessel disease ( Giubilei et al, 1997 , Shim et al, 2015 ), mild cognitive impairment, Alzheimer’s disease and vascular dementias ( Apostolova et al, 2012 , Carmichael et al, 2007 ). Periventricular and deep white matter hyperintensities (WMH) are commonly observed in addition to these enlarged ventricles.…”

Section: Introductionmentioning

confidence: 99%

Contribution of white matter hyperintensities to ventricular enlargement in older adults

Jochems

Maniega

Hernández

et al. 2022

NeuroImage: Clinical

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Section: Introductionmentioning

confidence: 99%

Contribution of white matter hyperintensities to ventricular enlargement in older adults

Jochems

Maniega

Hernández

et al. 2022

NeuroImage: Clinical

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“…As the thalamus atrophies in PwMS, the ventricles tend to widen and thus could have a larger impact on the accuracy of FSL-FIRST thalamic segmentations, because thalamic atrophy is associated with ventricular enlargement. 12,13 Notably, manual correction of thalamic masks may be of less importance in other neurodegenerative diseases with less substantial atrophy of the thalamus.…”

Section: Discussionmentioning

confidence: 99%

MRI‐based thalamic volumetry in multiple sclerosis using FSL‐FIRST: Systematic assessment of common error modes

Lyman

Lee

Ferrari

et al. 2021

Journal of Neuroimaging

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Background and Purpose: FSL's FMRIB's Integrated Registration and Segmentation Tool (FSL-FIRST) is a widely used and well-validated tool. Automated thalamic segmentation is a common application and an important longitudinal measure for multiple sclerosis (MS).However, FSL-FIRST's algorithm is based on shape models derived from non-MS groups.As such, the present study sought to systematically assess common thalamic segmentation errors made by FSL-FIRST on MRIs from people with multiple sclerosis (PwMS).Methods: FSL-FIRST was applied to generate thalamic segmentation masks for 890 MR images in PwMS. Images and masks were reviewed systematically to classify and quantify errors, as well as associated anatomical variations and MRI abnormalities. For cases with overt errors (n = 362), thalamic masks were corrected and quantitative volumetric differences were calculated. Results:In the entire quantitative volumetric group, the mean volumetric error of FSL-FIRST was 2.74% (0.360 ml): among only corrected cases, the mean volumetric error was 6.79% (0.894 ml). The average percent volumetric error associated with seven error types, two anatomical variants, and motions artifacts are reported. Additional analyses showed that the presence of motion artifacts or anatomical variations significantly increased the probability of error (χ 2 = 18.14, p < .01 and χ 2 = 64.89, p < .001, respectively). Finally, thalamus volume error was negatively associated with degree of atrophy, such that smaller thalami were systematically overestimated (r = -.28, p < .001). Conclusions:In PwMS, FSL-FIRST thalamic segmentation miscalculates thalamic volumetry in a predictable fashion, and may be biased to overestimate highly atrophic thalami. As such, it is recommended that segmentations be reviewed and corrected manually when appropriate for specific studies.

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“…Ventricular enlargement can occur early in the course of Parkinson's disease and is associated with cognitive decline (Apostolova et al, 2012). New/enlarging T2w lesions adjacent to the ventricle wall and thalamic atrophy are independently associated with lateral ventricular enlargement in multiple sclerosis (Sinnecker et al, 2020). Ventricular enlargement is also arguably the most consistent neuroanatomical biomarker present in schizophrenia (Sayo et al, 2012).…”

Section: Clinical Significance Of the Automated Ventricle Segmentationmentioning

confidence: 99%

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Zhou

Ye²,

Jiang³

et al. 2020

Front. Aging Neurosci.

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Background and Objective: Ventricle volume is closely related to hydrocephalus, brain atrophy, Alzheimer's, Parkinson's syndrome, and other diseases. To accurately measure the volume of the ventricles for elderly patients, we use deep learning to establish a systematic and comprehensive automated ventricle segmentation framework.Methods: The study participation included 20 normal elderly people, 20 patients with cerebral atrophy, 64 patients with normal pressure hydrocephalus, and 51 patients with acquired hydrocephalus. Second, get their imaging data through the picture archiving and communication systems (PACS) system. Then use ITK software to manually label participants' ventricular structures. Finally, extract imaging features through machine learning.Results: This automated ventricle segmentation method can be applied not only to CT and MRI images but also to images with different scan slice thicknesses. More importantly, it produces excellent segmentation results (Dice > 0.9).Conclusion: This automated ventricle segmentation method has wide applicability and clinical practicability. It can help clinicians find early disease, diagnose disease, understand the patient's disease progression, and evaluate the patient's treatment effect.

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New and enlarging white matter lesions adjacent to the ventricle system and thalamic atrophy are independently associated with lateral ventricular enlargement in multiple sclerosis

Cited by 13 publications

References 28 publications

Contribution of white matter hyperintensities to ventricular enlargement in older adults

Contribution of white matter hyperintensities to ventricular enlargement in older adults

MRI‐based thalamic volumetry in multiple sclerosis using FSL‐FIRST: Systematic assessment of common error modes

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

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