Model of differential diagnosis of nervous system lesions in young children

Perinatal pathology of the Central nervous system (CNS) occupies a leading position in the structure of childhood morbidity, which dictates the need to find optimal approaches to the early diagnosis of hypoxic-ischemic and traumatic CNS lesions, including using mathematical modeling technologies. Objective: to create and test a mathematical model for differential diagnosis of hypoxic-ischemic and traumatic lesions of the nervous system in children using the karyometry method. The study included 290 full-term infants of the first year of life: the first comparison group included 120 newborns with hypoxic – ischemic CNS damage, the second group-120 newborns with traumatic CNS damage, the control group included 50 healthy children. All children aged 1, 3, 6, 9 months and 1 year were evaluated for physical and neuropsychic development, motor functions according to the method of L. T. Zhurba. In the first month of life, neurosonography of the brain, x-ray examination of the head and cervical spine in two projections were performed. Morphological examination of lymphocytes (karyometry) was performed at the ages of 1, 3 and 6 months. To create a mathematical model for differential diagnosis of hypoxic-ischemic and traumatic lesions of the nervous system, 12 indicators of neurosonography and 4 indicators of peripheral capillary blood lymphocyte morphology (area and perimeter of the nucleus, area and perimeter of the cell) were taken. A self-learning artificial neural network was used in the construction of the diagnostic model, the operation of which was reproduced using the created software application. The study showed that the model we obtained is easy to use, saves time for diagnosis, and has a high degree of recognition: the model specificity is 89,2%, and the sensitivity is 92%.

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