Back to the list
Congress: ECR25
Poster Number: C-15949
Type: Poster: EPOS Radiologist (scientific)
DOI: 10.26044/ecr2025/C-15949
Authorblock: G. Hang, I. X. H. Tan, O. Nickalls, P. Salkade, B. K. N. Prakash, H. Chi Long; Singapore/SG
Disclosures:
Guanqi Hang: Nothing to disclose
Isaac Xu Hao Tan: Nothing to disclose
Oliver Nickalls: Nothing to disclose
Parag Salkade: Nothing to disclose
Bhanu K. N. Prakash: Nothing to disclose
Ho Chi Long: Grant Recipient: SingHealth Duke-NUS AM & NHIC - Joint MedTech Grant
Keywords: Artificial Intelligence, CNS, Neuroradiology brain, MR, Experimental investigations, Geriatrics
Purpose To develop normative brain atlases for the Singaporean Chinese population across various age groups. To extract region-specific gray and white matter volumetrics (BVM) from MRI scans. To establish a comprehensive BVM database tailored to the Singaporean Chinese population. To apply deep learning and machine learning algorithms for precise brain volumetric analysis, incorporating explainable AI for model transparency. To utilize feature selection methods to identify brain regions linked to accelerated brain aging.
Read more Methods and materials BackgroundSingapore’s aging population is expected to double by 2030, contributing to a 22% rise in neurodegenerative diseases from 2013 to 2017 (1, 2). Since aging is a primary risk factor, early detection is crucial for effective intervention (3, 4). Conditions like schizophrenia also accelerate brain aging, highlighting the need for timely diagnosis (5–6).Magnetic resonance imaging (MRI) offers detailed, non-invasive brain imaging but often relies on qualitative assessments, leading to variability and low interobserver agreement (7). Quantitative tools are needed to...
Read more Results Brain Volumetry and Structural There were significant differences in grey matter (GM) and white matter (WM) volumes observed between Singaporean (SG) and Caucasian males. SG males had smaller total brain volumes, with stable GM and WM volumes until age 45, followed by a rapid decline after 55. In contrast, Caucasian males showed a gradual, linear decline throughout adulthood (Figure 3a). When normalized for intracranial volume, both groups exhibited linear reductions, though SG males had steeper declines (Figure 3b).SG females also...
Read more Conclusion This study highlights key differences in brain ageing between Singaporeans and Caucasians, with Singaporean males showing a delayed onset but accelerated brain volume decline after mid-life, while Singaporean females experience a steady decline. In contrast, Caucasian males and females exhibit more linear patterns of decline, with females showing a possible hormonal influence.The findings emphasize the need for population-specific brain templates and volumetric analysis tools for accurate diagnosis and monitoring of neurodegenerative diseases. The rapid decline in Singaporeans suggests the importance...
Read more References ACTION PLAN FOR SUCCESSFUL AGEING 2023 | Ministry of Health [https://www.moh.gov.sg/others/resources-and-statistics/action-plan-for-successful-ageing] 22% increase in Singaporeans afflicted with neurological conditions [http://www.nni.com.sg:80/news/patient-care/22-increase-in-singaporeans-afflicted-with-neurological-conditions] Cole JH, Ritchie SJ, Bastin ME, et al.: Brain age predicts mortality. Mol Psychiatry 2018; 23:1385–1392. Liem F, Varoquaux G, Kynast J, et al.: Predicting brain-age from multimodal imaging data captures cognitive impairment. Neuroimage 2017; 148:179–188. Pardoe HR, Cole JH, Blackmon K, Thesen T, Kuzniecky R, Investigators HEP: Structural brain changes in medically refractory focal epilepsy resemble premature brain aging. Epilepsy Res 2017; 133:28–32. Schnack...
Read more
GALLERY