Imaging Approaches in Dementia: A Retrospective Cohort Study of Cross-sectional Imaging in the Indian Population

Abstract

Introduction: Dementia is a broad medical term that describes the progressive cognitive decline of brain function due to disease or impairment, resulting in interference with daily activities. Magnetic Resonance Imaging (MRI) is commonly used for the clinical diagnosis of dementia by identifying cerebral atrophy and structural alterations. Furthermore, Magnetic Resonance Spectroscopy (MRS) can detect biochemical abnormalities in dementia patients, which may be beneficial for early diagnosis and treatment. Aim: To provide a comprehensive protocol and a guidance tool for radiologists to effectively diagnose dementia and its subtypes {Alzheimer’s Disease (AD), frontotemporal lobe dementia, etc.} based on radiological findings coupled with volumetry, spectroscopy, and Arterial Spin Labelling (ASL) findings. Materials and Methods: A retrospective observational study was conducted in the Department of Radiology, Nanavati Max Superspeciality Hospital, Mumbai, Maharashtra, India, between June 2022 and June 2023. A total of 125 patients were analysed to observe the correlation between whole brain volume, Intracranial Volume (ICV) of different cortical regions, hippocampal atrophy, and MRS findings. Descriptive statistics were used, and results were expressed as means and standard deviations for continuous variables, and as frequencies and percentages for categorical variables. Results: Out of 125 patients, 71 (56.8%) were males, and 54 (43.2%) were females, with ages ranging from 41 to 96 years. The majority presented with Mild Cognitive Impairment (MCI) 36 patients (28.8%) and Vascular Dementia (VaD) (18 patients - 14.4%). Some clinical features and imaging findings overlapped, resulting in some cases being a combination of different types of dementia. MRI, MRS, and Medial Temporal Atrophy (MTA) played a crucial role in allowing clinicians to perform a differential diagnosis. Conclusion: The use of MR volumetry and spectroscopy aids in classifying the type of dementia, which, in turn, gives treating clinicians a better perspective for further treatment and its outcomes.