The mathematic model of lumbar spine osteochondrosis treatment decisions
Abstract
The results of formalization of the decision-making logics in a field of osteochondrosis treatment are presented. The symptoms of the disease, determining the need for various methods of therapy, are selected. The mathematical model of lumbar spine state is developed. It allows to classify (recognize) spine states requiring principally different treatments. Key descriptors determining the choice of a conservative or operative intervention have been identified. Solutions that can be fully and partially automated are identified.
About the Authors
N. N. Masalitina
Sukhoi State Technical University of Gomel, Gomel
Belarus
Senior Lecturer of Information Technologies Department
Belarus
Senior Lecturer of Information Technologies Department
K. S. Kurochka
Sukhoi State Technical University of Gomel, Gomel
Belarus
Cand. Sci. (Eng.), Assoc. Prof., Head of Information Technologies Department
Belarus
Cand. Sci. (Eng.), Assoc. Prof., Head of Information Technologies Department
E. L. Tsitko
Gomel State Medical University, Gomel
Belarus
Cand. Sci. (Med.), Assoc. Prof. of the Department of Surgical Diseases no. 1 with a course of cardiovascular surgery
Belarus
Cand. Sci. (Med.), Assoc. Prof. of the Department of Surgical Diseases no. 1 with a course of cardiovascular surgery
References
1. Shirshov A. V., Piradov M. A. Poyasnichnyiy osteohondroz: diagnostika, klinika i lechenie [Lumbar osteochondrosis: diagnosis, clinic and treatment]. Russkij medicinskij zhurnal [Russian Medical Journal], 2004, no. 4, pp. 212–219 (in Russian).
2. Tyurnikov V. M. Degenerativno-distroficheskie porazheniya pozvonochnika: diagnostika, klinika i lechenie [Degenerative-dystrophic lesions of the spine: diagnosis, clinic and treatment]. Russkij medicinskij
3. zhurnal [Russian Medical Journal], 2008, no. 26, pp. 17–39 (in Russian).
4. Lambin L. N., Levin G. M., Tokarevich I. V., Melnichenko E. M., Chudakov O. P., Glinnik A. V. Avtomatizirovannaya diagnostika i planirovanie lecheniya zubochelyustnyih anomaliy. Automated Diagnosis and Treatment Planning for Dental and Maxillary Anomalies. Minsk, Institut tehnicheskoj kibernetiki akademii nauk Belarusi, 1996, 93 p. (in Russian).
5. Zakrevskiy A. D. Logika raspoznavaniya. Recognition Logic. Minsk, Nauka i tehnika, 1988, 118 p. (in Russian).
6. Kovalev V. A., Petrou M., Suckling J. Detection of structural differences between the brains of schizophrenic patients and controls. Psychiatry Research. Neuroimaging, 2003, vol. 124, pp. 177–189.
7. Masalitina N. N., Kurochka K. S. Primenenie avtomatizirovannogo klassifikatora rezultatov kompyuternoy tomografii dlya postroeniya geometricheskoy modeli pozvonka cheloveka [Application of an automated classifier of computed tomography results for building a geometric model of a human vertebra]. Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radiojelektroniki [Reports Belarusian State University of Informatics and Radioelectronics], 2017, no. 3, pp. 12–19 (in Russian).
8. Biktimirov R. G., Kedrov A. V., Kiselev A. M., Kachkov I. A. Osteohondroz pozvonochnika [Spinal osteochondrosis]. Al'manah klinicheskoj mediciny [Almanac of Clinical Medicine], 2004, no. 7, pp. 328–337
9. Krotenkov P. V., Kiselev A. M., Sherman L. A. MRT v diagnostike i lechenii gryizh grudnyih mezhpozvonochnyih diskov [MRI in the diagnosis and treatment of hernias of the thoracic intervertebral discs]. Vestnik rentgenologii i radiologii [Herald of Radiology and Radiology], 2007, no. 4, pp. 53–57 (in Russian).
10. Baryikina N. V. Spravochnik po hirurgii. Surgery Handbook. Moscow, Feniks, 2012, 512 p. (in Russian).
11. Muhamedzhanov H. Izuchenie klinicheskih oslozhneniy chreskozhnoy vertebroplastiki pri patologii pozvonochnika [Studying the clinical complications of percutaneous vertebroplasty in spinal pathology]. Kazahskiy meditsinskiy zhurnal [Kazakh Medical Journal], 2014, no. 2, pp. 32–35 (in Russian).
12. Zaretskov V. V. Rezultaty vertebroplastiki pri povrezhdeniyah grudnogo i poyasnichnogo otdelov pozvonochnika u bolnyih s osteoporozom [Results of vertebroplasty in injuries of the thoracic and lumbar spine
13. in patients with osteoporosis]. Saratovskiy nauchno-medicinskij zhurnal [Saratov Scientific Medical Journal], 2009, no. 2, pp. 245–247 (in Russian).
14. Tsitko E. L., Kurochka K. S., Masalitina N. N., Tsalko I. N., Komrakov V. V., Tsitko E. V. Rentgenometricheskaya otsenka kinematiki poyasnichno-kresttsovogo otdela pozvonochnika pri osteohondroze s pomoschyu programmnogo sredstva Volot" [Radiometric assessment of the kinematics of the lumbosacral spine in osteochondrosis using the Volot software]. Problemyi zdorovya i ekologii [Health and Ecology Problems], 2017, no. 4, pp. 35–40 (in Russian).
Review
For citations:
Masalitina N.N., Kurochka K.S., Tsitko E.L. The mathematic model of lumbar spine osteochondrosis treatment decisions. Informatics. 2019;16(1):24-35. (In Russ.)
Views: 851
Email this article 