Assessment of Spinal Support Function in Infectious Spondylitis by Artificial Intelligence Algorithms
https://doi.org/10.58838/2075-1230-2025-103-2-44-52
Abstract
The objective: using artificial intelligence algorithms to develop a method for assessing the support function of the spine in infectious spondylitis based on sagittal balance and segmental instability parameters.
Subjects and Methods. 249 patients with infectious spondylitis were included in a retrospective study, all of them were admitted to National Medical Research Center of Phthisiopulmonology and Infectious Diseases from 2020 to 2022. The etiology of the spinal inflammation was determined by microbiologic and pathomorphologic tests of biological specimens from the focus of spinal destruction.
Results. Patients were divided into the groups of those with tuberculous spondylitis (n=114) and those with non-specific spondylitis (n= 35). The frequency of neurological complications and severity of destruction according to Pola classification and Asia-IMSOP scale were assessed in the groups; statistical and correlation analysis of the parameters of pathologic instability of vertebral segments and global sagittal balance was performed. Severe types of support dysfunction taking into account the summarized data of sagittal balance deviations and segmental instability, were diagnosed in 45.7%. A classification has been developed that details and specifies using mathematical parameters, types and degrees of impairment of the support function, taking into account both global sagittal balance data and segmental disorders.
About the Authors
E. O. PeretsmanasRussian Federation
Evgeniy O. Peretsmanas - Doctor of Medical Sciences, Head of Research Department of Osteoarticular Pathology
4 Build. 2 Dostoevsky St., Moscow, 127473
Тел.+7 (495) 631-15-15
V. N. Bryl
Russian Federation
Vladimir N. Bryl - Candidate of Technical Sciences, Technical Director
Office 3/1, 22, Leningradskoye Ave., Moscow, 125212
Phone: +7 (910) 404-08-08
Yu. Yu. Schepeteva
Russian Federation
Yulia Yu. Schepeteva - X-ray Doctor of X-ray Diagnostic Department
4 Build. 2 Dostoevsky St., Moscow, 127473
Тел.+7 (495) 631-15-15
A. A. Bezzubov
Russian Federation
Aleksandr A. Bezzubov - Neurosurgeon of Extrapulmonary Tuberculosis Department
4 Build. 2 Dostoevsky St., Moscow, 127473
Тел.+7 (495) 631-15-15
References
1. Burlakov S.V., Vishnevskiy A.A. Ineffective one-stage surgical treatment of disseminated tuberculous spondylitis: a clinical case and literature review. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika), 2018, vol. 15, no. 1, pp. 71-78. (In Russ.)
2. Zhuk D.M., Nikulina A.A. Razrabotka sistemy effektivnogo analiza sagittalnogo pozvonochno-tazovogo balansa. [Development of the effective system for analysis of sagittal spinopelvic balance]. MGTU Im. N.V. Baumana Publ., Moscow, 2015.
3. Krutko A.V. Sagittalnyy balans. Garmoniya v formulakh. [Sagittal balance. Harmony in formulas]. NIITO Im. Ya.L. Tsivyana Publ., Novosibirsk, 2016.
4. Mushkin A.Yu., Vishnevskiy A.A., Peretsmanas E.O., Bazarov A.Yu., Basankin I.V.. Infectious lesions of the spine: draft national clinical guidelines. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika), 2019, vol. 16, no. 4, pp. 63-76. (In Russ.) https://doi.org/10.14531/ss2019.4.63-76
5. Nikolaev D.G., Mushkin A.Yu., Malyarova E.Yu. Severe disorder of the spinal balance as the main complaint in tuberculous spondylitis (clinical monitoring and perspective questions). Tuberculosis and Lung Diseases, 2015, no. 6, pp. 107-107. (In Russ.)
6. Strelnikova A.V., Mikhaylov V.P., Shelyakina O.V., Samokhin A.G., Krutko A.V., Zherebtsov S.V. Postural balance after surgical decompression and stabilization in patients with degenerative dystrophic diseases of the lumbar spine. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika), 2015, vol. 12, no. 4, pp. 63-69. (In Russ.)
7. Guo S., Zhu K., Zhang S. et al. Percutaneous pedicle screw fixation alone versus debridement and fusion surgery for the treatment of early spinal tuberculosis: a retrospective cohort study. Medical Science Monitor: International Medical Journal of Experimental and Clinical Research, 2019, no. 25, pp. 1549-1557.
8. Ke W., Wang B., Hua W., Lu S., Li X., Yang C. et al. Biomechanical evaluation of the sacral slope on the adjacent segment in transforaminal lumbar interbody fusion: a finite element analysis. World Neurosurgery, 2020, no. 133, pp. e84-e88.
9. Pola E., Autore G., Formica V.M., Pambianco V., Colangelo D., Cauda R., Fantoni M. New classification for the treatment of pyogenic spondylodiscitis: validation study on a population of 250 patients with a follow-up of 2 years. Eur. Spine. J., 2017, no. 26, suppl. 4, pp. 479-488. https://doi.org/10.1007/s00586-017-5043-5
10. Takahashi T., Kainth D., Marette S., Polly D. Alphabet soup: sagittal balance correction osteotomies of the spine-what radiologists should know. AJNR. Am. J. Neuroradiol., 2018, vol. 39, no. 4, pp. 606-611. https://doi.org/10.3174/ajnr.A5444
Review
For citations:
Peretsmanas E.O., Bryl V.N., Schepeteva Yu.Yu., Bezzubov A.A. Assessment of Spinal Support Function in Infectious Spondylitis by Artificial Intelligence Algorithms. Tuberculosis and Lung Diseases. 2025;103(2):44-53. (In Russ.) https://doi.org/10.58838/2075-1230-2025-103-2-44-52