Diffusion-weighted imaging thermometry in multiple sclerosis

Sai, Asari; Shimono, Taro; Sakai, Koji; Takeda, Akitoshi; Shimada, Hiroyuki; Tsukamoto, Taro; Maeda, Hiroko; Sakamoto, Shinichi; Miki, Yukio

doi:10.1002/jmri.24396

Cited by 19 publications

(26 citation statements)

References 42 publications

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“…The most important roles of magnetic resonance imaging (MRI) in demyelinating diseases include: (i) diagnosis; [1][2][3][4][5] (ii) imaging biomarkers; [5][6][7][8][9][10][11][12][13][14][15][16][17] and (iii) monitoring of sideeffects from disease-modifying drugs. The most important roles of magnetic resonance imaging (MRI) in demyelinating diseases include: (i) diagnosis; [1][2][3][4][5] (ii) imaging biomarkers; [5][6][7][8][9][10][11][12][13][14][15][16][17] and (iii) monitoring of sideeffects from disease-modifying drugs.…”

Section: Introductionmentioning

confidence: 99%

Magnetic resonance imaging diagnosis of demyelinating diseases: An update

Miki

2019

Clinical & Exp Neuroim

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Keywords acute disseminating encephalomyelitis (ADEM); demyelinating diseases; multiple sclerosis (MS); myelin oligodendrocyte glycoprotein (MOG) encephalomyelitis; neuromyelitis optica spectrum disorder (NMOSD) Correspondence AbstractMajor demyelinating diseases include multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), acute disseminated encephalomyelitis (ADEM) and myelin oligodendrocyte glycoprotein (MOG) encephalomyelitis. As treatment strategies differ among these diseases, precise diagnosis of demyelinating diseases is crucial, and magnetic resonance imaging (MRI) plays a pivotal role in the diagnosis. In the present review, MRI appearances of characteristic lesions of these demyelinating diseases, and differentiation between MS and other demyelinating diseases based on MRI findings are discussed.

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Section: Introductionmentioning

confidence: 99%

Magnetic resonance imaging diagnosis of demyelinating diseases: An update

Miki

2019

Clinical & Exp Neuroim

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“…The data were also analyzed as a function of age, DD, and LL to provide potential predictors of physical disability in MS patients as measured by EDSS. The LV CSF diffusivity method used in this work has been validated [13, 29, 30] and used previously by others [9, 14, 16] to infer core brain temperature. Water molecular diffusion, relaxation time, and proton frequency shift dependence on temperature is well-documented [31-36].…”

Section: Discussionmentioning

confidence: 99%

“…In patient populations, Yamada and colleagues [9] used this measure to infer that brain temperature is elevated in Moyamoya patients [9]. More recently, Sai and colleagues [16] used this measure on thirteen healthy controls and thirteen MS patients and reported that brain temperature is reduced in MS patients, apparently contradicting a short report of elevated temperature in MS using magnetic resonance spectroscopy [12]. …”

Section: Introductionmentioning

confidence: 99%

Lateral ventricular cerebrospinal fluid diffusivity as a potential neuroimaging marker of brain temperature in multiple sclerosis: a hypothesis and implications

Hasan

Lincoln

Nelson

et al. 2015

Magnetic Resonance Imaging

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In this retrospective study we tested the hypothesis that the net effect of impaired electrical conduction and therefore increased heat dissipation in multiple sclerosis (MS) results in elevated lateral ventricular (LV) cerebrospinal fluid (CSF) diffusivity as a measure of brain temperature estimated in vivo using diffusion tensor imaging (DTI). We used validated DTI-based segmentation methods to obtain normalized LV-CSF volume and its corresponding CSF diffusivity in 108 MS patients and 103 healthy controls in the age range of 21-63 years. The LV CSF diffusivity was ~2% higher in MS compared to controls that corresponds to a temperature rise of ~1 °C that could not be explained by changes in the CSF viscosity due to altered CSF protein content in MS. The LV diffusivity decreased with age in healthy controls (r=−0.29; p=0.003), but not in MS (r=0.15; p=0.11), possibly related to MS pathology. Age-adjusted LV diffusivity increased with lesion load (r=0.518; p=1x10−8). Our data suggest that the total brain lesion load is the primary contributor to the increase in LV CSF diffusivity in MS. These findings suggest that LV diffusivity is a potential in vivo biomarker of the mismatch between heat generation and dissipation in MS. We also discuss limitations and possible confounders.

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“…Sakai et al applied apparent diffusion coefficient (ADC) based thermometry successfully in 45 healthy adults, obtained reliable results, and showed physiological decline in ventricular temperature with increasing age . Using ADC‐based thermometry, the same group showed a reduction in brain core temperature in adults with mild traumatic brain injury and multiple sclerosis and increase in ventricular temperature in adults with moyamoya disease . Changes in brain temperature are most likely caused by a global decrease in brain metabolism in mild traumatic brain injury and multiple sclerosis and a mismatch between cerebral metabolism and perfusion in moyamoya disease .…”

Section: Introductionmentioning

confidence: 99%