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Characterizing tumor heterogeneity with functional imaging and quantifying high-risk tumor volume for early prediction of treatment outcome: Cervical cancer as a model
Nina A. Mayr; Zhibin Huang; Jian Z. Wang; Simon S. Lo; Joline M. Fan; John C. Grecula; Steffen Sammet; Christina L. Sammet; Guang Jia; Jun Zhang; et al. (Profiled Author: Zhibin Huang)
International Journal of Radiation Oncology Biology Physics. 2012;83(3):972-979.Abstract
Purpose: Treatment response in cancer has been monitored by measuring anatomic tumor volume (ATV) at various times without considering the inherent functional tumor heterogeneity known to critically influence ultimate treatment outcome: primary tumor control and survival. This study applied dynamic contrast-enhanced (DCE) functional MRI to characterize tumors' heterogeneous subregions with low DCE values, at risk for treatment failure, and to quantify the functional risk volume (FRV) for personalized early prediction of treatment outcome. Methods and Materials: DCE-MRI was performed in 102 stage IB
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