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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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