2013
DOI: 10.1002/jmri.24503
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Correlation of skeletal muscle blood oxygenation level‐dependent MRI and skin laser doppler flowmetry in patients with systemic sclerosis

Abstract: Skeletal muscle BOLD T2* signal in SSc patients is closely correlated with changes of microperfusion as detected by LDF.

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Cited by 11 publications
(3 citation statements)
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“…2006b; Partovi et al. , ), and is in close agreement with near infrared spectroscopy (NIRS) measures of blood volume and saturation following maximal muscle contractions (Towse et al. ).…”
Section: Introductionsupporting
confidence: 64%
“…2006b; Partovi et al. , ), and is in close agreement with near infrared spectroscopy (NIRS) measures of blood volume and saturation following maximal muscle contractions (Towse et al. ).…”
Section: Introductionsupporting
confidence: 64%
“…A correlation of BOLD MRI and skin laser Doppler flowmetry has been reported (Partovi et al, 2014). In their study, arterial occlusion produced a similar time courses in LDF signals and BOLD signals with a rapid LDF signal dropout.…”
Section: Discussionmentioning
confidence: 85%
“…The reason for the difference in R2* values between the 2 groups was related to the imaging principle of the BOLD sequence. The BOLD signal in skeletal muscle tissues depends on the ratio between oxyhemoglobin and deoxyhemoglobin in small muscle vessels and can reflect the microcirculation of the tissues ( 24 ). Specifically, deoxyhemoglobin is paramagnetic, which leads to heterogeneity of the local magnetic field and can shorten the T2* value of tissues ( 20 ), while R2* and T2* have a reciprocal relationship with each other ( 25 ).…”
Section: Discussionmentioning
confidence: 99%