Disease modeling in multiple sclerosis: Assessment and quantification of sources of variability in brain parenchymal fraction measurements

Sampat, Mehul; Healy, Brian C.; Meier, Dominik; Dell’Oglio, Elisa; Liguori, Maria

doi:10.1016/j.neuroimage.2010.03.075

Cited by 27 publications

(23 citation statements)

References 36 publications

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“…15,16 In particular, hydration status can affect brain morphology as observed on MRI in previous studies. [16][17][18][19][20] Duning et al 16 reported that a cohort of 20 healthy volunteers showed a significant decrease in brain volume of 0.55% (s.d.…”

Section: Introductionmentioning

confidence: 69%

Dehydration affects spinal cord cross-sectional area measurement on MRI in healthy subjects

et al. 2014

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Study design: This was a prospective cohort observational study. Objective: To determine the effect of dehydration and rehydration on spinal cord cross-sectional area (CSA) measurement on magnetic resonance imaging (MRI). Setting: MRI Research Centre, University of British Columbia, Canada. Methods: Ten healthy subjects (aged 21-32 years) were scanned on a 3T MRI scanner at four time points: (1) baseline, (2) rescan after 1 h, (3) the next day after fasting for a minimum of 14 h and (4) after rehydration with 1.5 l of water over the course of 1 h. Two independent, established semi-automatic CSA measurement techniques (one based on two-dimensional (2D) edge detection, the other on three-dimensional (3D) surface fitting) were applied to a 3D T1-weighted scan of each subject at each time point, with the operator blinded to scan order. The percentage change in CSA from baseline to each subsequent time point was calculated. One-tailed paired t-tests were used to assess the significance of the changes from baseline. Results: A decrease in CSA following dehydration was detected by both measurement methods, with a mean change of À0.654% INTRODUCTIONMagnetic resonance imaging (MRI) is commonly used to measure spinal cord atrophy in studies of neurodegenerative diseases such as multiple sclerosis (MS). 1,2 Atrophy of the spinal cord, in particular the cervical cord, 3 is believed to contribute to physical disability in MS. 2,4 Significant correlations between the cross-sectional area (CSA) of the cord and physical disability in MS patients have been found in previous cross-sectional and longitudinal studies. 5-7 However, there have been contradictory findings in patients with the relapsing remitting form of MS (RRMS), which typically precedes a more progressive form. A number of studies have found that cord CSA is not reduced in RRMS patients 8,9 and could be used to distinguish progressive MS from RRMS patients, 8 whereas others have shown that cord atrophy is detectable in RRMS patients. 10 The inconsistent findings of cord involvement in RRMS may be because of many reasons. The average CSA of a normal adult cervical cord is B80 mm 2 . Most current MRI studies of the cord use a spatial resolution of B1 mm 2 in each plane, which is B1% of the cord CSA. As atrophy is a slow process, with an annual atrophy rate of about À1.6% observed in secondary progressive MS patients, 11 a resolution of 1 mm 2 can be considered coarse, and a high methodological sensitivity is essential to accurately estimate the true rate of change on current MRI data. A number of reproducible image analysis methods

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Section: Introductionmentioning

confidence: 69%

Dehydration affects spinal cord cross-sectional area measurement on MRI in healthy subjects

et al. 2014

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“…The interest in this type of imaging data has resulted in a growing set of methods for dealing with longitudinal data, including subtraction imaging. For example, there has been encouraging success in modeling lesion variability in multiple sclerosis patients [124] and global/regional atrophy rates in Alzheimer disease patients [125][126][127] that might also be applied to HIV-infected patients. These longitudinal studies have revealed significant variability in the rate and progression of neuroimaging abnormalities in the context of disease, and advanced statistical models can link changes in clinical measures with biomarkers of CNS injury to improve our understanding of the temporal relationship between these variables.…”

Section: Therapeutic Benefits Of Imaging and Future Studiesmentioning

confidence: 99%

The Role of Medical Imaging in Defining CNS Abnormalities Associated with HIV-Infection and Opportunistic Infections

et al. 2011

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Summary:In this review of the current literature, we examine the role of medical imaging in providing new and relevant information on central nervous system (CNS) injury associated with human immunodeficiency virus (HIV) infection and various clinical manifestations of this injury. Common imaging modalities used to examine CNS injury in HIV infection include structural magnetic resonance imaging, magnetic resonance spectroscopy, diffusion tensor imaging, functional MRI, and positron emissions tomography. Clinical implications for the findings are discussed for each of these modalities individually and collectively. In addition, the direction for future studies is suggested in an attempt to provide possible methods that might answer the many questions that remain to be answered on the evolution and progression of CNS injury in the context of HIV infection.

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“…Significant physiologic changes related to age and state of hydration 15,28,51 can lead to amplitude of variation up to 0.70% of the brain volume. 16,17 In MS, inflammatory activity corresponding to the occurrence of acute lesions transiently increases brain volume. 18 At the opposite end, treatments with high doses of corticosteroids or disease-modifying treatments may significantly and temporarily reduce brain volume.…”

Section: Discussionmentioning

confidence: 99%

“…[19][20][21][22][23]52 These physiopathologic factors have a greater impact than the variations cause by scan-rescan. 17,53 In this study, these factors may not have influenced the results, as each patient was explored with each MR imaging system on the same day, under the assumption that changes caused by physiopathologic processes are not likely to occur during that time. Acquisition-related factors may also affect automated quantitative analysis results and lead to an incorrect quantification.…”

Section: Discussionmentioning

confidence: 99%

“…ox.ac.uk/fsl), 9,10 voxel-based statistical analysis for voxelbased morphometry, statistical parametric mapping, 11 and lo-cal Jacobian determinant analysis after nonlinear matching between coregistered images. [12][13][14] However, brain volume loss estimations are affected by physiopathologic factors such as dehydration, inflammation, or steroid therapy [15][16][17][18][19][20][21][22][23][24] and by technical factors such as MR imaging contrast quality, signal-to-noise ratio, upgrades of the MR imaging system, field inhomogeneity, and geometric distortions related to gradients. [25][26][27][28][29] Brain volume loss estimation also depends on the reliability of the postprocessing algorithms used.…”

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confidence: 99%

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Reliability of Longitudinal Brain Volume Loss Measurements between 2 Sites in Patients with Multiple Sclerosis: Comparison of 7 Quantification Techniques

Durand‐Dubief

Belaroussi²,

Armspach

et al. 2012

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Brain volume loss is currently a MR imaging marker of neurodegeneration in MS. Available quantification algorithms perform either direct (segmentation-based techniques) or indirect (registration-based techniques) measurements. Because there is no reference standard technique, the assessment of their accuracy and reliability remains a difficult goal. Therefore, the purpose of this work was to assess the robustness of 7 different postprocessing algorithms applied to images acquired from different MR imaging systems.

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Disease modeling in multiple sclerosis: Assessment and quantification of sources of variability in brain parenchymal fraction measurements

Cited by 27 publications

References 36 publications

Dehydration affects spinal cord cross-sectional area measurement on MRI in healthy subjects

Dehydration affects spinal cord cross-sectional area measurement on MRI in healthy subjects

The Role of Medical Imaging in Defining CNS Abnormalities Associated with HIV-Infection and Opportunistic Infections

Reliability of Longitudinal Brain Volume Loss Measurements between 2 Sites in Patients with Multiple Sclerosis: Comparison of 7 Quantification Techniques

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