Medical Specialties Commons^™

Microstructural Alterations Of Major Thalamic Nuclei In The Chronic Pediatric Spinal Cord Injured Population, K. Kang, K. Fleming, A. Sathe, J. Muller, J. Harrop, D. Middleton, J. Heller, A. Sharan, F. Mohamed, L. Krisa, M. Alizadeh

Department of Radiology Faculty Papers

BACKGROUND: The brain undergoes reorganization following spinal cord injury (SCI), but little is known about how the thalamus is affected in pediatric SCIs.

PURPOSE: To characterize microstructural alterations in the thalamus after SCI with diffusion tensor imaging (DTI) metrics.

METHODS: 18 pediatric participants with chronic SCI (8-20 years) were stratified using the American Spinal Injury Association Impairment Scale (AIS) into groups: A, B, and C/D. DTI of the brain used a 3 T Siemens Verio MRI using the parameters: 20 directions, number of averages = 3, b = 1000 s/mm

DATA ANALYSIS: DTI metrics were acquired by superimposing the AAL3 …

Radio-Pathomic Approaches In Pediatric Neurooncology: Opportunities And Challenges, Ariana M. Familiar, Aria Mahtabfar, Anahita Fathi Kazerooni, Mahsa Kiani, Arastoo Vossough, Angela Viaene, Philip B. Storm, Adam C. Resnick, Ali Nabavizadeh

Department of Neurosurgery Faculty Papers

With medical software platforms moving to cloud environments with scalable storage and computing, the translation of predictive artificial intelligence (AI) models to aid in clinical decision-making and facilitate personalized medicine for cancer patients is becoming a reality. Medical imaging, namely radiologic and histologic images, has immense analytical potential in neuro-oncology, and models utilizing integrated radiomic and pathomic data may yield a synergistic effect and provide a new modality for precision medicine. At the same time, the ability to harness multi-modal data is met with challenges in aggregating data across medical departments and institutions, as well as significant complexity in modeling …