{"title":"Correlation of MRI Findings with ODI and VAS Score in Patients with Lower Back Pain","authors":"Suada Hasanović Vučković, Sandra Vegar-Zubović, Lejla Milišić, Spomenka Kristić, Adnan Beganović, Lejla Dervišević, Zurifa Ajanović, Ilvana Hasanbegović, Aida Sarač Hadžihalilović","doi":"10.2174/18743129-v16-230911-2022-4","DOIUrl":null,"url":null,"abstract":"Background: In clinical practice, there is a very common discrepancy between the clinical findings of patients with lumboischialgia and the radiological findings. Objective: This research aimed to determine the degree of correlation between the ODI index and the VAS scale with degenerative changes in the lumbar spine found using MRI. Methods: The study included 100 patients, who were referred for an MRI of the lumbar spine and who had a clear clinical picture of lumboischialgia. Patients underwent MRI. Degenerative changes in the lumbar spine and discs were analysed. Patients were asked to answer the questions in the questionnaire about the subjective feeling of pain and functional status, and ODI and VAS scores were calculated. Results: There has been a statistically significant correlation found between the answers to the survey questions and the VAS score (p < 0.001). There was a significant correlation obtained between the level of degeneration and the disability index (p = 0.022), while the correlation with the VAS score has not been found to be significant (p = 0.325). Conclusion: This study has demonstrated a significant correlation between the VAS pain score and the ODI, as well as a significant correlation between the level of degeneration on MRI scans and the disability index; however, the correlation of MRI scan results with VAS score has not been found to be significant.","PeriodicalId":37431,"journal":{"name":"Open Neuroimaging Journal","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Neuroimaging Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/18743129-v16-230911-2022-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: In clinical practice, there is a very common discrepancy between the clinical findings of patients with lumboischialgia and the radiological findings. Objective: This research aimed to determine the degree of correlation between the ODI index and the VAS scale with degenerative changes in the lumbar spine found using MRI. Methods: The study included 100 patients, who were referred for an MRI of the lumbar spine and who had a clear clinical picture of lumboischialgia. Patients underwent MRI. Degenerative changes in the lumbar spine and discs were analysed. Patients were asked to answer the questions in the questionnaire about the subjective feeling of pain and functional status, and ODI and VAS scores were calculated. Results: There has been a statistically significant correlation found between the answers to the survey questions and the VAS score (p < 0.001). There was a significant correlation obtained between the level of degeneration and the disability index (p = 0.022), while the correlation with the VAS score has not been found to be significant (p = 0.325). Conclusion: This study has demonstrated a significant correlation between the VAS pain score and the ODI, as well as a significant correlation between the level of degeneration on MRI scans and the disability index; however, the correlation of MRI scan results with VAS score has not been found to be significant.
期刊介绍:
The Open Neuroimaging Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, and letters in all important areas of brain function, structure and organization including neuroimaging, neuroradiology, analysis methods, functional MRI acquisition and physics, brain mapping, macroscopic level of brain organization, computational modeling and analysis, structure-function and brain-behavior relationships, anatomy and physiology, psychiatric diseases and disorders of the nervous system, use of imaging to the understanding of brain pathology and brain abnormalities, cognition and aging, social neuroscience, sensorimotor processing, communication and learning.