Mathematical model in post-mortem estimation of brain edema using morphometric parameters.
Mathematical model in post-mortem estimation of brain edema using morphometric parameters.
复制标题
使用形态测量参数进行死后脑水肿估计的数学模型。
DOI:
10.1016/j.jflm.2016.11.006
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发表时间:
2017
影响因子:
1.5
通讯作者:
Savic,Slobodan
中科院分区:
文献类型:
--
作者:
Radojevic,Nemanja;Radnic,Bojana;Vucinic,Jelena;Cukic,Dragana;Lazovic,Ranko;Asanin,Bogdan;Savic,Slobodan
Current autopsy principles for evaluating the existence of brain edema are based on a macroscopic subjective assessment performed by pathologists. The gold standard is a time-consuming histological verification of the presence of the edema. By measuring the diameters of the cranial cavity, as individually determined morphometric parameters, a mathematical model for rapid evaluation of brain edema was created, based on the brain weight measured during the autopsy. A cohort study was performed on 110 subjects, divided into two groups according to the histological presence or absence of (the – deleted from the text) brain edema. In all subjects, the following measures were determined: the volume and the diameters of the cranial cavity (longitudinal and transverse distance and height), the brain volume, and the brain weight. The complex mathematical algorithm revealed a formula for the coefficient ε, which is useful to conclude whether a brain edema is present or not. The average density of non-edematous brain is 0.967 g/ml, while the average density of edematous brain is 1.148 g/ml. The resulting formula for the coefficient ε is (5.79 x longitudinal distance x transverse distance)/brain weight. Coefficient ε can be calculated using measurements of the diameters of the cranial cavity and the brain weight, performed during the autopsy. If the resulting ε is less than 0.9484, it could be stated that there is cerebral edema with a reliability of 98.5%. The method discussed in this paper aims to eliminate the burden of relying on subjective assessments when determining the presence of a brain edema.
影响因子:
2.2
作者:
G. Quatrehomme;J. Ponsaillé;P. Jardin;Céline Leccia;V. Alunni
通讯作者:
V. Alunni
影响因子:
4.1
作者:
KIMELBERG, HK
通讯作者:
KIMELBERG, HK