Literature DB >> 20208973

Cella media distance in human brain in relation to age and gender.

Lydia Ragan1, Iveta Waczulikova, Ladislav Guller, Jozef Bilicky, Jozef Benuska.   

Abstract

AIMS: To determine whether simple linear measurements can be used as an accurate and reproducible replacement of the volumetric ones.
METHODS: We measured the cella media distance (CM1) and the distance between the right and left human brain surfaces (CM2)--measured along the CM1 line--in the groups of women (F) and men (M) who were divided according to diagnoses into three subgroups (F1-3 and M1-3). Examinations were carried out under standardized conditions: axial serial CT (Computed Tomography) images, in 4 mm layers (333 patients). Measured values were detected by Osiris Software. Recorded values were statistically analysed.
RESULTS: We found very highly significant (subgroups M1, M3), and significant (subgroups F1, F2, F3, M2) associations between the cella media distance and the decade of age. There were only non-significant differences in CM1 distances between men and women and between the diagnoses groups as well. Correlation between cella media distance and volume of lateral ventricles was greater in men in both, subgroup M1 (r = 0.659, P < 0.0001) and in a mixed group where all the three male subgroups M1-3 were combined into one group (r = 0.675, P < 0.0001). Among women the correlation was lower, however still significant (r = 0.357, P < 0.0001 for F1 and r = 0.465, P < 0.0001 for F1-3).
CONCLUSIONS: The cella media distance is much better predictor of brain lateral ventricular volume in men than in women.

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Year:  2009        PMID: 20208973     DOI: 10.5507/bp.2009.053

Source DB:  PubMed          Journal:  Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub        ISSN: 1213-8118            Impact factor:   1.245


  1 in total

1.  Morphometric study of the ventricular indexes in healthy ovine BRAIN using MRI.

Authors:  Marco Trovatelli; Carlotta Spediacci; Antonella Castellano; Andrea Bernardini; Daniele Dini; Luca Malfassi; Valentina Pieri; Andrea Falini; Giuliano Ravasio; Marco Riva; Lorenzo Bello; Stefano Brizzola; Davide Danilo Zani
Journal:  BMC Vet Res       Date:  2022-03-11       Impact factor: 2.741

  1 in total

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