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Abstract #4828

A Cloud Platform for Longitudinal Follow-up for Patients with Glioblastoma

Saumya Gurbani1, Karthik K Ramesh1, Hyunsuk Shim1, and Brent Weinberg1

1Emory University, Atlanta, GA, United States

Patients diagnosed with glioblastoma are typically treated with a combination of stereotactic surgical resection followed by chemoradiation. Follow-up of these patients post-treatment involves regular imaging to identify disease recurrence and plan adjuvant therapies. In this work, we present a cloud app that will facilitate radiologists and the treating physician team in quantitatively tracking post-treatment disease course using semi-automated segmentation of tumor and a structured scoring system to standardize monitoring of disease progression.

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