Are Two-Dimensional Morphometric Measures Reflective of Disease Severity in Adult Chiari I Malformation?
| Autor: | Alangar S. Hegde, Vidyasagar Kanneganti, Philip A. Allen, Sumit Thakar, Francis Loth, Saritha Aryan, Maggie S. Eppelheimer, Sara J. Salem, Blaise Simplice Talla Nwotchouang |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male medicine.medical_specialty Severity of Illness Index Article Cohort Studies Young Adult Disease severity Chiari I malformation Internal medicine medicine Humans Retrospective Studies Morphometrics medicine.diagnostic_test business.industry Magnetic resonance imaging Retrospective cohort study medicine.disease Magnetic Resonance Imaging Arnold-Chiari Malformation Surgery Female Neurology (clinical) Analysis of variance business Body mass index Syringomyelia |
| Zdroj: | World Neurosurg |
| ISSN: | 1878-8769 |
| Popis: | OBJECTIVE: Two-dimensional (2D) morphometric measures have been previously used to diagnose Chiari I malformation (CMI) and distinguish patients from controls. There is, however, a paucity of literature on whether morphometric differences exist across the range of CMI disease severity. The objective of our study was to evaluate whether 2D morphometrics demonstrate significant changes across standardized grades of CMI severity in adults. METHODS: This was a retrospective observational study of 76 patients having symptomatic CMI with or without syringomyelia. Patients matched for age, sex, and body mass index were selected from each of the three severity grades of the Chiari Severity Index (CSI). A total of 17 2D craniocervical and posterior fossa morphometric variables that were previously found to differentiate CMI subjects from the normal population were used in the study. The measurements were performed on mid-sagittal T1-weighted magnetic resonance imaging sequences using two custom in-house software tools, MorphPro and CerePro, and compared across the CSI grades. RESULTS: Analysis of variance (ANOVA) showed that none of the 17 morphometric variables were significantly different across the 3 CSI grades (p > 0.003). The Bayes Factor (BF(10)) scores ranged from 0.11 to 0.82. Nine variables demonstrated BF(10) scores between 0.10 and 0.30, while eight had scores between 0.30 and 1. None of the BF(10) scores provided support for the alternative hypothesis that the morphometric measures differed across the CSI grades. CONCLUSIONS: Our study indicates that 2D morphometrics are not reflective of CMI disease severity as indicated by the grading system of the CSI. The findings of our study support the need for further investigation into whether non-2D morphometric variables can be used as markers of disease severity. |
| Databáze: | OpenAIRE |
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