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Clinical Trial Summary

The purpose of the study is to assess accuracy, advantages of functional neuronavigation and calculate safe distance from motor areas to brain tumors and vascular malformations in image-guided surgery.


Clinical Trial Description

Functional images (functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), tractography) loaded in neuronavigation are called functional navigation. It is usually combined with anatomical data and allows to display eloquent brain areas. Currently there are plenty of studies concerning possibilities of it's use. In our research we plan to confirm this data and to supplement them with calculating a safe distance from motor areas to various mass lesions in preoperative scans where neurological deficits is not likely to appear after surgery. In case of success this data can be a foundation for further researches specifying indications for use of intraoperative neuromonitoring and possibility of it's replacement with functional navigation in some cases. The purpose of the study is to assess accuracy, advantages of functional neuronavigation and calculate safe distance from motor areas to brain tumors and vascular malformations in image-guided surgery. For each patient a surgeon intraoperatively will assess locations of motor cortex and corticospinal tract found with direct cortical and subcortical stimulation and capture them. After surgery he will compare this data with functional preoperative scans and virtual motor centers constructed based on tractography. Influence of various factors on precision of functional navigation will be studied and safe distance between motor brain areas and mass lesion borders will be calculated. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05484219
Study type Interventional
Source Sklifosovsky Institute of Emergency Care
Contact Alexander Dmitriev, MD
Phone +7 (916) 423-54-08
Email dmitriev@neurosklif.ru
Status Recruiting
Phase N/A
Start date September 1, 2022
Completion date August 31, 2027

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