Master of Public Health
First Committee Member
Lorena Baccaglini, PhD, DDS, MS
Second Committee Member
Jianghu Dong, PhD
Third Committee Member
Tony W. Wilson, PhD
Fourth Committee Member
Pamela E. May, PhD
Objective: The goal of this study was to do an exploratory analysis to determine if gray matter brain volumes and cortical thickness measures obtained from structural magnetic resonance imaging (sMRI) can discriminate people with HIV-associated neurocognitive disorders (HAND), neurocognitively unimpaired people with HIV (NU PWH), and HIV-negative controls (HIV- controls) using linear discriminant analyses.
Methods: A total of 231 participants, including 110 PWH and 121 HIV- controls, completed a neuropsychological (NP) battery and an sMRI protocol. The bilateral gray matter volumes and cortical thickness brain regions were analyzed using 18 linear discriminant models to assess the discriminability of gray matter volumes and cortical thickness measures separately. The sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), and area under the curve (AUC) were computed for each model using the classification results based on the sMRI measures compared to the NP battery.
Results: Of the 110 PWH, 48 were classified as HAND and 62 were classified as NU PWH using the NP battery. The best performing model was the full sample whole brain gray matter volume model with education included, and had a sensitivity of 75.0% (95% CI: 60.4%-86.4%), a specificity of 92.9% (95% CI: 88.2%-96.2%), and an AUC=0.84 (95% CI: 0.76-0.92).
Conclusion: While sMRI measures could aid to inform HAND diagnoses, more rigorous analysis needs to be done before interpreting these results clinically.
Schantell, Mikki, "Structural Magnetic Resonance Imaging as a Diagnostic Biomarker of HIV-Associated Neurocognitive Disorders (HAND)" (2020). Capstone Experience. 122.
Available for download on Saturday, July 30, 2022