Novel methodological approaches in the system of early diagnosis of mastopathy with the use of computer dermography

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Abstract


Aim. Optimization of the early detection of mastopathy on screening examinations due to the inclusion of data received with the use of computer dermography into the algorithm of complex diagnosis.

Methods. Integral evaluation of the health state was performed with the use of computer dermography as part of the diagnostic complex DgKTD-01. Fertile females (n=107) were divided into three groups. The study group (n=36) included the female patients with differentiated mastopathy. The control group (n=51) united the females complaining of discomfort in breasts, engorgement and tenderness. Parameters of the baseline level in the study group and the control group were studied; a prognostic model of mastopathy was developed. Comparative analysis of identified characteristics was performed in the comparison group.

Results. Females from the study group are in the group of adaptation risk with formation of premorbid states and diseases. The prognostic model of mastopathy was consistent disorder of the tonic activity of basic functions F2' and F3', functions F5-1', F5-2', F5-3' with the extremum in segments Th4-6 in regimen 2 which allowed determining females with the risk of the development of this pathology in comparison group.

Conclusion. Method of computer dermography serves as a methodological approach to revealing pre-nosological states which alllows using it as an additional non-invasive diagnostic screening test to determine mastopathy risk groups; the obtained results give ground to continue the further studies and improvement of the diagnosis on a large clinical material and to development of computed system for interpretation of the obtained data.


G A Merkulova

Scientific Research Center «Arctica» of the Far Eastern Branch of the Russian Academy of Sciences

Author for correspondence.
Email: galinmer@gmail.com
Magadan, Russia

E V Pegova

Scientific Research Center «Arctica» of the Far Eastern Branch of the Russian Academy of Sciences

Email: galinmer@gmail.com
Magadan, Russia

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