Abstract #1230

Correlating patterns in tumor cytoarchitecture with multiparametric MR signal in preclinical models of sarcoma

Stephanie J Blocker¹, James Cook¹, Yvonne M Mowery², Jeffrey I Everitt³, Yi Qi¹, Kathryn Hornburg¹, Gary P Cofer¹, Fernando Zapata¹, Alex M Bassil², Cristian T Badea¹, David G Kirsch², and G. Allan Johnson¹

¹Radiology, Duke University, Durham, NC, United States, ²Radiation Oncology, Duke University, Durham, NC, United States, ³Pathology, Duke University, Durham, NC, United States

Identification of MR imaging biomarkers for solid tumors requires a reliable means of correlating multiparametric MR and pathological data. We have constructed a platform for registration of multi-scale preclinical imaging libraries that utilizes MR histology and cytometric feature mapping for correlative studies. With this platform we have identified a selection of cytometric features in murine sarcomas which demonstrate correlative trends with ex vivo and in vivo MR, including ADC and T2*.

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