Abstract
Background and Purpose: Abnormal hypometabolism is common in the brain parenchyma surrounding developmental venous anomalies (DVAs), although the degree of DVA-associated hypometabolism (DVAAh) has not been quantitatively analyzed. In this study, we demonstrate a simple method for the measurement of DVAAh and test the hypothesis that DVAs are associated with a quantifiable decrement in metabolic activity.Materials and Methods: Measurements of DVAAh using ratios of standardized uptake values (SUVs) and comparison to a normal database were performed on a cohort of 25 patients (12 male, 13 female), 14 to 76 years old, with a total of 28 DVAs (20 with DVAAh, seven with isometabolic activity, and one with hypermetabolic activity).Results: Qualitative classification of none, mild, moderate, and severe DVAAh corresponded to quantitative measurements of DVAAh of 1 ± 3%, 12 ± 7%, 18 ± 6%, and 37 ± 6%, respectively. A statistically significant linear correlation between DVAAh and age was observed (P = 0.003), with a 3% reduction in metabolic activity per decade. A statistically significant linear correlation between DVAAh and DVA size was observed (P = 0.01), with a 4% reduction in metabolic activity per each 1 cm in the longest dimension. The SUVDVA-based measures of DVAAh correlated (P = 0.001) with measures derived from comparison with a standardized database.Conclusion: We present a simple method for the quantitative measurement of DVAAh using ratios of SUVs, and find that this quantitative analysis is consistent with a qualitative classification. We find that 54% (15 of 28) of DVAs are associated with a greater than 10% decrease in metabolic activity.
Highlights
Developmental venous anomalies (DVAs) are the most common vascular malformation identified on brain imaging [1]
We find that 54% (15 of 28) of developmental venous anomalies (DVAs) are associated with a greater than 10% decrease in metabolic activity
We find that quantitative analysis of DVA-associated hypometabolism (DVAAh) using SUVDVA is consistent with a visual, qualitative assessment of DVAAh
Summary
Developmental venous anomalies (DVAs) are the most common vascular malformation identified on brain imaging [1]. How to cite this article Timerman D, Thum J A, Larvie M (September 21, 2016) Quantitative Analysis of Metabolic Abnormality Associated with Brain Developmental Venous Anomalies. These studies show an increased prevalence of MR signal abnormalities in older patients, which raises the possibility of increasing brain parenchymal abnormality with age that may become symptomatic. We present a method for the measurement of DVAAh and test the hypothesis that DVAs are associated with a quantifiable decrement in metabolic activity that is associated with DVA size and patient age. Abnormal hypometabolism is common in the brain parenchyma surrounding developmental venous anomalies (DVAs), the degree of DVA-associated hypometabolism (DVAAh) has not been quantitatively analyzed. We demonstrate a simple method for the measurement of DVAAh and test the hypothesis that DVAs are associated with a quantifiable decrement in metabolic activity
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