Abstract #3926

Spatial comparison of in vivo MRI with digital histology validates R2* as a biomarker of vascular hemodynamics in the Th-MYCN model of neuroblastoma

Konstantinos Zormpas-Petridis¹, Matthew D. Blackledge¹, Louis Chesler², Yinyin Yuan³, Simon P. Robinson¹, and Yann Jamin¹

¹Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, ²Division of Clinical Studies, Institute of Cancer Research, London, United Kingdom, ³Division of Molecular Pathology, Institute of Cancer Research, London, United Kingdom

This study explores the use of automated image analysis pipelines and kernel density estimation (KDE) analysis for hotspot mapping as a generic methodology to spatially evaluate MRI biomarkers with corresponding high-resolution whole-slide digital histology, used here to validate the transverse relaxation R₂* as a biomarker of vascular hemodynamics in the Th-MYCN transgenic mouse model of childhood neuroblastoma.

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