Jeff Prescott, an MD/PhD student in the lab, has had his research accepted from publication in JDI. The article, entitled, "Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation," explores the efficacy of using wavelet coefficient measures of tumor perfusion on dynamic contrast-enhanced MR images of cervical tumors to predict the outcome of radiation treatment of the tumors. Subscribers to JDI can access the full text online at http://dx.doi.org/10.1007/s10278-009-9179-7 . The publication abstract appears below. Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation In this paper we present a method of quantifying the heterogeneity of cervical cancer tumors for use in radiation treatment outcome prediction. Features based on the distribution of masked wavelet decomposition coefficients in the tumor region of interest (ROI) of tempora