Novosti
Khirurgii
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Year 2014 Vol. 22 No 2

INFORMATION TECHNOLOGIES IN SURGERY

DOI: http://dx.doi.org/10.18484/2305-0047.2014.2.224   |  

P.M. KOSENKO1, S.A. VAVRINCHUK1, L.K. KULIKOV2, E.S. PODVALNYJ3, A.V. PLOTNIKOV4

MATHEMATICAL MODELING OF THE MOTOR-EVACUATION DISORDERS OF THE GASTROINTESTINAL TRACT IN PATIENTS WITH ULCEROUS PYLORIC DUODENAL STENOSIS

HBEE HPE Far Eastern State Medical University, Khabarovsk 1,
SBEE APE Irkutsk State Medical Academy of Post-Graduate Education2,
FSBEE HPE Russian Academy of National Economy and Public Administration under the President of the Russian Federation Voronezh Branch3,
FSBEE HPE Voronezh State Technical University4,
The Russian Federation

Objectives. To improve the diagnosis of ulcerative pyloric duodenal stenosis by creating a mathematical model of the motor-evacuation disorders and the automated computer system diagnosis.
Methods. 57 patients with ulcerative pyloric duodenal stenosis, divided according to the degree of stenosis severity into three groups have been examined. Control group consisted of 28 healthy persons. Evaluation of the gastrointestinal tract motor activity was performed using the peripheral electrogastroenterography method. Mathematical modeling of the motor-evacuation disorders was done on the basis of the discriminant analysis of the peripheral electrogastroenterography parameters.
Results. The group of patients with a subcompensated pyloric duodenal ulcerous stenosis is found out to be heterogeneous concerning the character of the disorders of gastrointestinal motility with the presence of transitional types from the motility compensation (hyperkinetic type) to decompensation (hypomotor type). The mathematical model of motor-evacuation disorders in patients with ulcerous pyloric duodenal stenosis was designed on the basis of the discriminant analysis parameters. To improve the prediction of patients distribution into the corresponding groups according to the stenosis degree severity, our earlier data concerning the age peculiarities of the peripheral electrogastroenterography readings have been used. 23 electrophysiological parameters were included in the designed mathematical model, 17 of them were considered to be statistically important for the differential diagnostics. It provided a high (96,2%) prediction accuracy of patients distribution in the corresponding groups permitted firstly to create a computer system diagnosis and definition of the compensation degree of the pyloric duodenal stenosis.
Conclusion. On the basis of the mathematical model of motor-evacuation disorders prediction, a computer decision support system for determining of compensation degree of pyloric duodenal stenosis was designed, allowing performing of the automated analysis of the peripheral electrogastroenterography data.

Keywords: gastrointestinal motility, peptic ulcer, duodenal stenosis, electrogastroenterography, mathematical modeling, discriminant analysis
p. 224 230 of the original issue
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Address for correspondence:
680000, Rossiiskaia Federatsiia, g. Khabarovsk, ul. Murav'eva-Amurskogo, d. 35, GBOU VPO Dal'nevostochnyi gosudarstvennyi meditsinskii universitet, kafedra obshchei i fakul'tetskoi khirurgii,
e-mail: rec@mail.fesmu.ru,
Kosenko Pavel Mikhailovich
Information about the authors:
Kosenko P.M. PhD, an associate professor of the general and faculty surgery of SBEE HPE Far Eastern State Medical University, Khabarovsk.
Vavrinchuk S.A. MD, an associate professor of the surgery chair with the course of endoscopic and plastic surgery of the advanced training and retraining faculty of SBEE HPE Far Eastern State Medical University, Khabarovsk.
Kulikov L.K. MD, professor, a Head of the surgery chair of SBEE APE Irkutsk State Medical Academy of Post-graduate Education.
Podvalnyj E.S. Dr.Sci.(Tech) , professor, Director of FSBEE HPE Russian Academy of National Economy and Public Administration under the President of the Russian Federation Voronezh branch.
Plotnikov A.V. A post-graduate student of the computer-aided and computing systems chair of SBEE HPE Voronezh State Technical University.
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