Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy

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Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy Article  in  Journal of Magnetic Resonance Imaging · October 2017 DOI: 10.1002/jmri.25874

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William T Yuh

University of Washington Seattle

University of Washington Seattle

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Daniel S Hippe

Savannah Partridge

University of Washington Seattle

University of Washington Seattle

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Pancreas SBRT View project

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ORIGINAL RESEARCH

Tumor Radiomic Heterogeneity: Multiparametric Functional Imaging to Characterize Variability and Predict Response Following Cervical Cancer Radiation Therapy Stephen R. Bowen, PhD

,1,2* William T.C. Yuh, MD,2 Daniel S. Hippe, MS,2

Wei Wu, MD,3 Savannah C. Partridge, PhD,2 Saba Elias, MS,4 Guang Jia, PhD,5 Zhibin Huang, PhD,6 George A. Sandison, PhD,1 Dennis Nelson, PhD,7 Michael V. Knopp, MD,4 Simon S. Lo, MD,1 Paul E. Kinahan, PhD,2 and Nina A. Mayr, MD1 Background: Robust approaches to quantify tumor heterogeneity are needed to provide early decision support for precise individualized therapy. Purpose: To conduct a technical exploration of longitudinal changes in tumor heterogeneity patterns on dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI) and FDG positron emission tomography / computed tomography (PET/CT), and their association to radiation therapy (RT) response in cervical cancer. Study Type: Prospective observational study with longitudinal MRI and PET/CT pre-RT, early-RT (2 weeks), and mid-RT (5 weeks). Population: Twenty-one FIGO IB2-IVA cervical cancer patients receiving definitive external beam RT and brachytherapy. Field Strength/Sequence: 1.5T, precontrast axial T1-weighted, axial and sagittal T2-weighted, sagittal DWI (multi-b values), sagittal DCE MRI (