Related Experiment Video
Updated: Jul 10, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Differential associations between abnormal cardiac left ventricular geometry types and cerebral white matter disease
Amr M Salem1, Nihas R Mateti1, Demilade Adedinsewo2
1Department of Neurology, Mayo Clinic, Jacksonville, FL, United States.
Insights
Abnormal left ventricular geometry, particularly concentric remodeling and hypertrophy, is linked to increased white matter disease volume. This suggests a connection between cardiac health and brain white matter integrity.
Area of Science:
- Cardiology
- Neurology
- Radiology
Background:
- Left ventricular hypertrophy (LVH) may impact cardiac outflow, potentially influencing cerebral white matter disease.
- The relationship between left ventricular geometry and white matter disease volume is not well-established.
Purpose of the Study:
- To investigate the correlation between left ventricular geometry and white matter disease volume.
- To clarify the association between cardiac structure and cerebral white matter integrity.
Main Methods:
- 112 patients (≥18 years) with echocardiography, cardiac MRI, and brain MRI data (2016-2021) were analyzed.
- Left ventricular geometry was categorized based on mass index and relative wall thickness.
- White matter disease volume was quantified using automated analysis of brain MRI (T2 FLAIR).
Main Results:
- White matter disease volume was highest in concentric hypertrophy and concentric remodeling groups (P=0.028).
- Higher relative wall thickness correlated with significantly greater white matter disease volume (10.73 ± 10.29 cc vs 5.89 ± 6.46 cc, P=0.003).
- 34.8% of patients had normal left ventricular geometry.
Conclusions:
- Abnormal left ventricular geometry, especially increased relative wall thickness, is associated with a higher burden of white matter disease.
- Further research is needed to explore causality and therapeutic strategies targeting left ventricular remodeling to slow white matter disease progression.
Objectives:
Reduced cardiac outflow due to left ventricular hypertrophy has been suggested as a potential risk factor for development of cerebral white matter disease. Our study aimed to examine the correlation between left ventricular geometry and white matter disease volume to establish a clearer understanding of their relationship, as it is currently not well-established.
Methods:
Consecutive patients from 2016 to 2021 who were ≥18 years and underwent echocardiography, cardiac MRI, and brain MRI within one year were included. Four categories of left ventricular geometry were defined based on left ventricular mass index and relative wall thickness on echocardiography. White matter disease volume was quantified using an automated algorithm applied to axial T2 FLAIR images and compared across left ventricular geometry categories.
Results:
We identified 112 patients of which 34.8 % had normal left ventricular geometry, 20.5 % had eccentric hypertrophy, 21.4 % had concentric remodeling, and 23.2 % had concentric hypertrophy. White matter disease volume was highest in patients with concentric hypertrophy and concentric remodeling, compared to eccentric hypertrophy and normal morphology with a trend-P value of 0.028. Patients with higher relative wall thickness had higher white matter disease volume (10.73 ± 10.29 cc vs 5.89 ± 6.46 cc, P = 0.003), compared to those with normal relative wall thickness.
Conclusion:
Our results showed that abnormal left ventricular geometry is associated with higher white matter disease burden, particularly among those with abnormal relative wall thickness. Future studies are needed to explore causative relationships and potential therapeutic options that may mediate the adverse left ventricular remodeling and its effect in slowing white matter disease progression.
More Related Videos
12:50Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
Published on: April 14, 2014
11:50A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
Published on: February 4, 2022