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PMID: 32985602 Published · epublish English Journal Article

Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations.

Scientific reports ·Vol. 10 ·No. 1 ·2020-00-28 ·Pages 15907

Gholampour S, Gholampour H

Abstract

This study aimed to find a new CSF hydrodynamic index to assess Chiari type I malformation (CM-I) patients' conditions and examine the relationship of this new index with morphometric and volumetric changes in these patients and their clinical symptoms. To this end, 58 CM-I patients in four groups and 20 healthy subjects underwent PC-MRI. Ten morphometric and three volumetric parameters were calculated. The CSF hydrodynamic parameters were also analyzed through computational fluid dynamic (CFD) simulation. The maximum CSF pressure was identified as a new hydrodynamic parameter to assess the CM-I patients' conditions. This parameter was similar in patients with the same symptoms regardless of the group to which they belonged. The result showed a weak correlation between the maximum CSF pressure and the morphometric parameters in the patients. Among the volumetric parameters, PCF volume had the highest correlation with the maximum CSF pressure, which its value being higher in patients with CM-I/SM/scoliosis (R2 = 65.6%, P = 0.0022) than in the other patients. PCF volume was the more relevant volumetric parameter to assess the patients' symptoms. The values of PCF volume were greater in patients that headache symptom was more obvious than other symptoms, as compared to the other patients.

MeSH 主题词
Adult Arnold-Chiari Malformation/cerebrospinal fluid,diagnostic imaging Cerebrospinal Fluid Pressure/physiology Female Humans Hydrodynamics Magnetic Resonance Imaging Male Middle Aged
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Gholampour Seifollah ORCID
Department of Biomedical Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran. [email protected].
Gholampour Hanie
Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2020-00-28
Epub
2020-00-28
Pages
15907
Language
English
Country/Region
England
NLM ID
101563288
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