Abstract #0256

Predictive cytological topography highlights regions of pathologically confirmed non-enhancing hypercellular tumor in glioblastoma patients

Sarah L Hurrell¹, Elizabeth Cochran², Sean D McGarry¹, Amy L Kaczmarowski¹, Jennifer Connelly³, Wade Mueller⁴, Scott D Rand¹, Kathleen M Schmainda¹, and Peter S LaViolette¹

¹Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ²Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, ³Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, ⁴Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States

This study combines clinical brain cancer imaging and pathological microscopy with machine learning to generate predictive maps off pathological features (i.e. new contrasts) based on segmented histological cellularity. Predictive cytological topography (PiCT) maps of cellularity were utilized to detect additional pathologically confirmed infiltrative glioblastoma cellularity beyond margins of contrast enhancement.

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