Correlation of magnetic resonance imaging parameters with montreal cognitive assessment-Indonesian (MOCA-INA) score in dementia patients at Prof. Dr. IGNG Ngoerah General Hospital, Denpasar, Bali, Indonesia

Abstract

Background: Dementia results from various diseases and injuries affecting the brain, with Alzheimer’s disease being the most common form, contributing to 60–70% of cases. Diagnosing dementia and assessing the severity of cognitive symptoms often involve various evaluation tools. One commonly used tool is the Montreal Cognitive Assessment—Indonesian (MOCA-INA), which is specifically designed to evaluate cognitive function across multiple domains. Methods: MRI results of 28 dementia patients who have undergone MOCA-INA scoring at RSUP Prof. Dr. I.G.N.G. Ngoerah General Hospital, Denpasar, from January 2022 to December 2023, were selected. MRI parameters and MOCA-INA score were assessed using the Spearman correlation test. Correlation between variables was evaluated based on the correlation coefficient, which indicates the direction and strength of the correlation. Results: In this study, no statistical differences were found between multiple MRI parameters and MOCA-INA scores. However, weak inverse relationships were noted for the GCA and MTA scale, and the remaining Kolam and Fazekas score was found to have a positive relationship with the MOCA-INA score. Conclusion: Parameters such as clinical status, GCA scale, MTA scale, Fazekas scale, strategic infarction, Koedam score, stroke, hypertension, diabetes mellitus, dyslipidemia, and cardiovascular disease do not have significant correlations with MoCA-INA scores. This may be caused by a relatively small sample size and further study with a broader and larger sample size may help in overcoming the issue.