Biostatistics Department Seminar: Mitigating Misdiagnosis in Multiple Sclerosis Leveraging Imaging Statistics
Department & Center Events
Department & Center Events
Title: Mitigating misdiagnosis in multiple sclerosis leveraging imaging statistics
Abstract: Multiple sclerosis (MS), an inflammatory and degenerative disease of the central nervous system, affects approximately a million Americans. While MS lesions detectable on magnetic resonance imaging, their radiological presentation is like that of many other neurological conditions. The overinterpretation of imaging findings has given rise to an epidemic of misdiagnosis of MS. As novel imaging modalities that allow for better lesion characterization promising increased specificity for MS have increased in popularity, the challenges of quantifying these signatures of disease are mounting. Furthermore, other features, including morphology and morphometry of normal-appearing brain structures that are not detectable by the human eye, have recently been demonstrated to have diagnostic value. Leveraging multi-modal imaging approaches that focus on knowledge about etiology is critical for developing the next generation of robust and generalizable diagnostic imaging biomarkers.
Taki Shinohara, PhD is Senior Scholar at the Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine. Learn more here.
If you would like to join via Zoom, please register here.
All seminars are held at 12:05 PM via Zoom and onsite in Room W2008. View all seminar information here.