A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions
Purpose: Researchers have sought to better understand Chiari type I malformation (CMI) through morphometric measurements beyond tonsillar position (TP). Soft tissue and bone structures within the brain and craniocervical junction have been shown to be different for CMI patients compared to healthy c...
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Frontiers Media S.A.
2018-01-01
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Online Access: | http://journal.frontiersin.org/article/10.3389/fnana.2018.00002/full |
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author | Maggie S. Eppelheimer James R. Houston Jayapalli R. Bapuraj Richard Labuda Dorothy M. Loth Audrey M. Braun Natalie J. Allen Soroush Heidari Pahlavian Dipankar Biswas Aintzane Urbizu Aintzane Urbizu Bryn A. Martin Cormac O. Maher Philip A. Allen Francis Loth Francis Loth |
author_facet | Maggie S. Eppelheimer James R. Houston Jayapalli R. Bapuraj Richard Labuda Dorothy M. Loth Audrey M. Braun Natalie J. Allen Soroush Heidari Pahlavian Dipankar Biswas Aintzane Urbizu Aintzane Urbizu Bryn A. Martin Cormac O. Maher Philip A. Allen Francis Loth Francis Loth |
author_sort | Maggie S. Eppelheimer |
collection | DOAJ |
description | Purpose: Researchers have sought to better understand Chiari type I malformation (CMI) through morphometric measurements beyond tonsillar position (TP). Soft tissue and bone structures within the brain and craniocervical junction have been shown to be different for CMI patients compared to healthy controls. Yet, several morphological characteristics have not been consistently associated with CMI. CMI is also associated with different prevalent conditions (PCs) such as syringomyelia, pseudotumor, Ehlers-Danlos syndrome (EDS), scoliosis, and craniocervical instability. The goal of this study was two-fold: (1) to identify unique morphological characteristics of PCs, and (2) to better explain inconsistent results from case-control comparisons of CMI.Methods: Image, demographic, and PC information was obtained through the Chiari1000, a self-report web-accessed database. Twenty-eight morphometric measurements (MMs) were performed on the cranial MR images of 236 pre-surgery adult female CMI participants and 140 female healthy control participants. Custom software was used to measure 28 structures within the posterior cranial fossa (PCF) compartment, craniocervical junction, oral cavity, and intracranial area on midsagittal MR images for each participant.Results: Morphometric analysis of adult females indicated a smaller McRae line length in CMI participants with syringomyelia compared to those without syringomyelia. TP was reduced in CMI participants with EDS than those without EDS. Basion to posterior axial line was significantly longer in CMI participants with scoliosis compared to those without scoliosis. No additional MMs were found to differ between CMI participants with and without a specific PC. Four morphometric differences were found to be consistently different between CMI participants and healthy controls regardless of PC: larger TP and a smaller clivus length, fastigium, and corpus callosum height in CMI participants.Conclusion: Syringomyelia, EDS, and scoliosis were the only PCs that showed significant morphometric differences between CMI participants. Additionally, four midsagittal MR-based MMs were found to be significantly different between healthy controls and CMI participants regardless of the presence of one or more PCs. This study suggests that the prevalence of comorbid conditions are not strongly related to CMI morphology, and that inconsistent findings in the radiographic literature cannot be explained by varying prevalence of comorbid conditions in CMI study samples. |
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spelling | doaj.art-1b02fa3c3403465194c5f40e613612c72022-12-21T20:28:43ZengFrontiers Media S.A.Frontiers in Neuroanatomy1662-51292018-01-011210.3389/fnana.2018.00002310680A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related ConditionsMaggie S. Eppelheimer0James R. Houston1Jayapalli R. Bapuraj2Richard Labuda3Dorothy M. Loth4Audrey M. Braun5Natalie J. Allen6Soroush Heidari Pahlavian7Dipankar Biswas8Aintzane Urbizu9Aintzane Urbizu10Bryn A. Martin11Cormac O. Maher12Philip A. Allen13Francis Loth14Francis Loth15Department of Biomedical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Psychology, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Radiology, University of Michigan Health System, Ann Arbor, MI, United StatesConquer Chiari, Wexford, PA, United StatesDepartment of Psychology, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDuke University Medical Center, Duke Molecular Physiology Institute, Durham, NC, United StatesDepartment of Biological Engineering, University of Idaho, Moscow, ID, United StatesDepartment of Neurosurgery, University of Michigan Health System, Ann Arbor, MI, United StatesDepartment of Psychology, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Biomedical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, United StatesPurpose: Researchers have sought to better understand Chiari type I malformation (CMI) through morphometric measurements beyond tonsillar position (TP). Soft tissue and bone structures within the brain and craniocervical junction have been shown to be different for CMI patients compared to healthy controls. Yet, several morphological characteristics have not been consistently associated with CMI. CMI is also associated with different prevalent conditions (PCs) such as syringomyelia, pseudotumor, Ehlers-Danlos syndrome (EDS), scoliosis, and craniocervical instability. The goal of this study was two-fold: (1) to identify unique morphological characteristics of PCs, and (2) to better explain inconsistent results from case-control comparisons of CMI.Methods: Image, demographic, and PC information was obtained through the Chiari1000, a self-report web-accessed database. Twenty-eight morphometric measurements (MMs) were performed on the cranial MR images of 236 pre-surgery adult female CMI participants and 140 female healthy control participants. Custom software was used to measure 28 structures within the posterior cranial fossa (PCF) compartment, craniocervical junction, oral cavity, and intracranial area on midsagittal MR images for each participant.Results: Morphometric analysis of adult females indicated a smaller McRae line length in CMI participants with syringomyelia compared to those without syringomyelia. TP was reduced in CMI participants with EDS than those without EDS. Basion to posterior axial line was significantly longer in CMI participants with scoliosis compared to those without scoliosis. No additional MMs were found to differ between CMI participants with and without a specific PC. Four morphometric differences were found to be consistently different between CMI participants and healthy controls regardless of PC: larger TP and a smaller clivus length, fastigium, and corpus callosum height in CMI participants.Conclusion: Syringomyelia, EDS, and scoliosis were the only PCs that showed significant morphometric differences between CMI participants. Additionally, four midsagittal MR-based MMs were found to be significantly different between healthy controls and CMI participants regardless of the presence of one or more PCs. This study suggests that the prevalence of comorbid conditions are not strongly related to CMI morphology, and that inconsistent findings in the radiographic literature cannot be explained by varying prevalence of comorbid conditions in CMI study samples.http://journal.frontiersin.org/article/10.3389/fnana.2018.00002/fullChiari I malformationmorphometryMRIposterior cranial fossacranio-vertebral junctioncomorbidity |
spellingShingle | Maggie S. Eppelheimer James R. Houston Jayapalli R. Bapuraj Richard Labuda Dorothy M. Loth Audrey M. Braun Natalie J. Allen Soroush Heidari Pahlavian Dipankar Biswas Aintzane Urbizu Aintzane Urbizu Bryn A. Martin Cormac O. Maher Philip A. Allen Francis Loth Francis Loth A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions Frontiers in Neuroanatomy Chiari I malformation morphometry MRI posterior cranial fossa cranio-vertebral junction comorbidity |
title | A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions |
title_full | A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions |
title_fullStr | A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions |
title_full_unstemmed | A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions |
title_short | A Retrospective 2D Morphometric Analysis of Adult Female Chiari Type I Patients with Commonly Reported and Related Conditions |
title_sort | retrospective 2d morphometric analysis of adult female chiari type i patients with commonly reported and related conditions |
topic | Chiari I malformation morphometry MRI posterior cranial fossa cranio-vertebral junction comorbidity |
url | http://journal.frontiersin.org/article/10.3389/fnana.2018.00002/full |
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