Bayesian Inference and Decision Theory

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Abstract

Background: Morphometric data of the frontal lobe are important for surgical planning of lesions in the frontal lobe and its surroundings. Magnetic resonance imaging (MRI) techniques provide suitable data for this purpose. Objectives: In our study, the morphometric data of mid-sagittal MRI of the frontal lobe in certain age and gender groups of children have been presented. Patients and Methods: In a normal age group of 6-17-year-old participants, the length of the line passing through predetermined different points, including the frontal pole (FP), commissura anterior (AC), commissura posterior (PC), the outermost point of corpus callosum genu (AGCC), the innermost point of corpus callosum genu (IGCC), tuberculum sella (TS), AGCC and IGCC points parallel to AC-PC line and the point such line crosses at the frontal lobe surface (FCS) were measured in three age groups (6-9, 10-13 and 14-17 years) for each gender. Results: The frontal lobe morphometric data were higher in males than females. Frontal lobe measurements peak at the age group of 10-13 in the male and at the age group of 6-13 in the female. In boys, the length of FP-AC increases 4.1% in the 10-13 age group compared with the 6-9-year-old group, while this increase is 2.3% in girls. Conclusion: Differences in age and gender groups were determined. While the length of AGCC-IGCC increases 10.4% in adults, in children aged 6-17, the length of AC-PC is 11.5% greater than adults. These data will contribute to the preliminary assessment for developing a surgical plan in fine interventions in the frontal lobe and its surroundings in children.

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Bayesian Inference and Decision Theory. (2007). In An Introduction to Bayesian Analysis (pp. 29–63). Springer New York. https://doi.org/10.1007/978-0-387-35433-0_2

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