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ROBOTIC ASSISTANCE IN SPINAL NEUROSURGERY
Karomov Suhrob Mirmuhsinovich
Asian International University
Tel : +998934500601
ABSTRACT:
Back pain is often the leading cause of activity limitation in people of
working age and sharply reduces the quality of life in older patients. Studies show that from
60% to 80% of the population of industrially developed countries suffer from back pain of
various origins [Burulin A.A., 1986, Jennifer L.K., Anne L.G., 1990, Kuznetsov V.F., 2004,
Pedachenko E.G., Kushchaev S.V., 2004].
According to the results of the study of the epidemiology of pain syndromes in the adult
population of Russia, the prevalence of chronic back pain is 42.4% - 56.7% [Pedachenko
E.G., 2000, Shor Yu.M., 2009], and the annual incidence is 5% [Vein A.M., 2001, Habar S.,
Saifuddin A., 2002, Putilina M.B. et al., 2007]. Back pain most often bothers people of the
most active social group aged 30-50 years [Vein A.M. et al., 2007]. According to L.Yu.
According to Popelyansky (1989), labor losses in Russia associated with pain in the lumbar
spine amount to 161 days per 100 workers, and morbidity with temporary disability is up to
23 cases per 100 workers [Dudaev A.K. et al., 2011, Putilina M.V. et al., 2007].
Currently, new technologies are being actively implemented in spinal neurosurgery, aimed
at improving the quality of interventions, their minimal invasiveness. Robot-assisted
surgical interventions are most widely used in the treatment of such pathologies as
spondylolisthesis, degenerative stenosis of the spinal canal, when taking biopsy material,
performing vertebroplasty. Robotic assistance allows, even at the preoperative stage, to
calculate the most ideal trajectory of screw insertion based on computed tomography data
and correct it, if necessary, at the intraoperative stage based on the data of combining
preoperative CT images and an X-ray image taken during the operation. Due to this
approach, the risk of intra- and postoperative complications is reduced. It is also important
that this technique allows stabilizing the necessary levels transcutaneously.
The use of the Go-Lif minimally invasive stabilization system is impossible without the use
of robotic assistance [Konovalov H.A., Shevelev I.N. et al.,2010]. Robotic assistance allows
reducing the time of the operation, and therefore the time the patient spends in drug-induced
sleep.
The development of robotic assistance will allow for safer and more effective performance
of long, complex surgical interventions to stabilize the spine, vertebroplasty, and obtain
biopsy material.
The aim of the study Evaluation of the capabilities of the Spine Assist Mazor robotic
assistance method to improve the efficiency and safety of spine stabilization, vertebroplasty,
and obtaining high-quality biopsies of spinal masses
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Scientific novelty.
The novelty of the work consists in the evaluation of a minimally invasive method that
allows safe, effective, fast and with a lower degree of X-ray exposure to the patient and the
operating team to perform surgical interventions on the spine and spinal neural structures for
various pathologies of the spine and spinal nerve structures, as well as the use of new
stabilizing systems for various pathologies of the spine:
1. The technique for performing surgical interventions using robotic assistance was applied
and refined
2. Indications and contraindications for the use of transcutaneous transpedicular transdiscal
stabilization Go-Lif with the help of robotic assistance were determined
3. The technique for obtaining biopsy material for spinal lesions with various volumetric
formations with the help of robotic assistance was developed.
CONCLUSIONS
1. Using the Spine Assist Mazor robotic assistance method allows for performing minimally
invasive interventions in stabilizing surgeries on the spine for degenerative diseases
(stenosis of the spinal canal, spondylolisthesis), fractures of the vertebral bodies, lesions of
the vertebral bodies by hemangiomas, space-occupying lesions.
2. Using the new Go-Lif stabilizing system, which is impossible without the use of the
robotic assistance method
3. Using the robotic assistance method in a group of elderly patients with a somatically
burdened anamnesis, which will allow for performing minimally invasive interventions in
this group of patients
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