ArticleMedical & biological engineering & computing2017
3D structural complexity analysis of cerebellum in Chiari malformation type I.
Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cognition in Chiari Malformation Type I: an Update of a Systematic Review.Neuropsychology review · 2024Pooled it
- Comprehensive assessment of supratentorial and infratentorial volumes in infants with myelomeningocele with and without Chiari malformation type II.Neuroradiology · 2025Article
- Methodology for pediatric head computed tomography image segmentation and volumetric calculation using a tablet computer and stylus pen.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024Article
- 3D Tortuosity computation as a shape descriptor and its application to brain structure analysis.BMC medical imaging · 2024Article
- Cognitive Functioning in Chiari Malformation Type I Without Posterior Fossa Surgery.Cerebellum (London, England) · 2018Article
- Developments in the treatment of Chiari type 1 malformations over the past decade.Journal of spine surgery (Hong Kong) · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chiari malformation type I (CM-I), described by a descent of the cerebellar tonsils, is assumed to be a neurological developmental disorder. The aim of the present study was to investigate morphological variance in cerebellar sub-structures, including gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF), using magnetic resonance (MR) images with three-dimensional (3D) fractal dimension (FD) analysis in patients with CM-I. MRI data of 16 patients and 15 control subjects were obtained, and structural complexity analyses were performed using a box-counting FD algorithm. Results showed that patients with CM-I had significantly reduced FD values for WM and CSF in comparison with controls, and statistically significant differences in cerebellar GM and CSF volumes between patients and controls were found. Moreover, a significant difference was not found between the WM volumes. This may suggest that there are changes in structural complexity in WM even when its volume is unaffected. We conclude that the findings of this preliminary study indicate the possibility of using FD analysis to understand the pathophysiology of CM-I in patients.
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