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Authors Xiong H, Yin P, Li X, Yang C, Zhang D, Huang X, Tang Z
Received 3 October 2018
Accepted for publication 27 December 2018
Published 4 February 2019 Volume 2019:15 Pages 233—240
DOI https://doi.org/10.2147/TCRM.S189598
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Amy Norman
Peer reviewer comments 2
Editor who approved publication: Professor Deyun Wang
Objective: To
investigate the features of cerebral permeability and perfusion detected by
dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with Patlak
model in relapsing–remitting multiple sclerosis (RRMS) and their correlations
with Expanded Disability Status Scale (EDSS) scores and disease duration.
Patients and methods: Twenty-seven
RRMS patients underwent conventional MRI and DCE-MRI with 3.0 T magnetic
resonance scanner were enrolled in the study. A Patlak model was used to
quantitatively measure MRI biomarkers, including volume transfer constant (Ktrans), fractional
plasma volume (Vp), cerebral blood flow (CBF), and cerebral
blood volume (CBV). The correlations of MRI biomarkers with EDSS scores and
disease duration were analyzed.
Results: The MRI
biomarkers Ktrans, Vp, CBF, and CBV
of contrast-enhancing (CE) lesions were significantly higher (P <0.05) than
those of non-enhancing (NE) lesions and normal-appearing white matter (NAWM)
regions. The skewness and kurtosis of Ktrans values in
CE lesions were significantly higher (P <0.05) than that of NE lesions. No significant
correlation was found among the biomarkers with EDSS scores and disease
duration (P >0.05).
Conclusion: Our study
demonstrated the abnormalities of permeability and perfusion characteristics in
multiple sclerosis (MS) lesions and NAWM regions by DCE-MRI with Patlak model.
The Ktrans, Vp, CBF, and CBV
of CE lesions were significantly higher than that of NE lesions, but these MRI
biomarkers did not associate with the severity and duration of the disease. The
skewness and kurtosis of Ktrans value in
CE lesions were significantly higher than that in NE lesions, indicating that
these parameters of Ktrans histogram
can be used to distinguish the pathology of MS lesions.
Keywords: dynamic
contrast-enhanced magnetic resonance imaging, Patlak model, multiple sclerosis,
permeability, perfusion, histogram