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MRI-based morphometric analysis of posterior cranial fossa in the diagnosis of chiari malformation type I.
J Neuroimaging. 2014 May-Jun; 24(3):250-6.JN

Abstract

BACKGROUND AND PURPOSE

The diagnosis of Chiari malformation type I (CMI) relies on MRI identification of a tonsillar descent (TD) through the foramen magnum, reflecting the overcrowding of an underdeveloped posterior cranial fossa (PCF). However, TD occurs in some patients with normal-sized PCF and, conversely, some patients with borderline or no TD have small PCF. We thus sought to identify a set of prototypic PCF measures for the diagnosis of CMI.

METHODS

We performed nineteen measurements of the PCF on sagittal MRI of 100 cases with cerebellar TD ≥5 mm and 50 control individuals, compared the average values in both cohorts and used logistic regression to devise a probability model to predict CMI status.

RESULTS

Significant decrements were detected for several PCF-related measures in the patients' cohort. We developed a probability model that combined seven of these parameters to predict diagnosis with 93% sensitivity and 92% specificity.

CONCLUSIONS

The addition of simple morphometric measurements in the diagnostic work-up of patients with suspected CMI may facilitate radiological diagnosis. Moreover, identification of the subset of CMI that arise from basichondrocranium underdevelopment is important for both, selection of the most appropriate therapeutic approach as well as proper CMI categorization in research studies.

Authors+Show Affiliations

Pediatric Neurology Research Group, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23324118

Citation

Urbizu, Aintzane, et al. "MRI-based Morphometric Analysis of Posterior Cranial Fossa in the Diagnosis of Chiari Malformation Type I." Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging, vol. 24, no. 3, 2014, pp. 250-6.
Urbizu A, Poca MA, Vidal X, et al. MRI-based morphometric analysis of posterior cranial fossa in the diagnosis of chiari malformation type I. J Neuroimaging. 2014;24(3):250-6.
Urbizu, A., Poca, M. A., Vidal, X., Rovira, A., Sahuquillo, J., & Macaya, A. (2014). MRI-based morphometric analysis of posterior cranial fossa in the diagnosis of chiari malformation type I. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging, 24(3), 250-6. https://doi.org/10.1111/jon.12007
Urbizu A, et al. MRI-based Morphometric Analysis of Posterior Cranial Fossa in the Diagnosis of Chiari Malformation Type I. J Neuroimaging. 2014 May-Jun;24(3):250-6. PubMed PMID: 23324118.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - MRI-based morphometric analysis of posterior cranial fossa in the diagnosis of chiari malformation type I. AU - Urbizu,Aintzane, AU - Poca,Maria-Antonia, AU - Vidal,Xavier, AU - Rovira,Alex, AU - Sahuquillo,Juan, AU - Macaya,Alfons, Y1 - 2013/01/16/ PY - 2012/10/28/accepted PY - 2012/10/12/revised PY - 2012/07/17/received PY - 2013/1/18/entrez PY - 2013/1/18/pubmed PY - 2015/4/14/medline KW - Chiari malformation type I KW - MRI KW - ROC KW - morphometry SP - 250 EP - 6 JF - Journal of neuroimaging : official journal of the American Society of Neuroimaging JO - J Neuroimaging VL - 24 IS - 3 N2 - BACKGROUND AND PURPOSE: The diagnosis of Chiari malformation type I (CMI) relies on MRI identification of a tonsillar descent (TD) through the foramen magnum, reflecting the overcrowding of an underdeveloped posterior cranial fossa (PCF). However, TD occurs in some patients with normal-sized PCF and, conversely, some patients with borderline or no TD have small PCF. We thus sought to identify a set of prototypic PCF measures for the diagnosis of CMI. METHODS: We performed nineteen measurements of the PCF on sagittal MRI of 100 cases with cerebellar TD ≥5 mm and 50 control individuals, compared the average values in both cohorts and used logistic regression to devise a probability model to predict CMI status. RESULTS: Significant decrements were detected for several PCF-related measures in the patients' cohort. We developed a probability model that combined seven of these parameters to predict diagnosis with 93% sensitivity and 92% specificity. CONCLUSIONS: The addition of simple morphometric measurements in the diagnostic work-up of patients with suspected CMI may facilitate radiological diagnosis. Moreover, identification of the subset of CMI that arise from basichondrocranium underdevelopment is important for both, selection of the most appropriate therapeutic approach as well as proper CMI categorization in research studies. SN - 1552-6569 UR - https://www.unboundmedicine.com/medline/citation/23324118/MRI_based_morphometric_analysis_of_posterior_cranial_fossa_in_the_diagnosis_of_chiari_malformation_type_I_ L2 - https://doi.org/10.1111/jon.12007 DB - PRIME DP - Unbound Medicine ER -