Over the past decade, multi-center clinical trials utilizing diagnostic imaging modalities have been conducted and sponsored by the National Institutes of Health. Collaborative research is a key part of the """"""""Roadmap"""""""" for the future. When analyzing large diagnostic imaging trial data, assigning voxel labels to different tissue classes or anatomical structures is an important goal. From these studies, apart from binary and categorical data, continuous data are increasingly available, for example, probabilistic segmentation, lesion volume, distance between volume surfaces, percentage of overlapping voxels, and percentage of highly discrepant voxels. Thus, current standards for assessment of imaging systems require task-dependent measures. ? ? In this R01 grant proposal, we propose to develop a novel and general statistical validation strategy for evaluating multi-center diagnostic imaging trial data, illustrated on two completed prospective studies previously conducted by the Radiological Diagnostic Oncology Group and the Biomedical Informatics Research Network, respectively.
We aim to validate the accuracy and reliability of the previous studies, with the presence of multi-level factors derived from clustered multi-center diagnostic data. Hierarchical methodology is developed by incorporating the effects of """"""""spatial"""""""" (voxels), """"""""individual"""""""" (patients), """"""""clusters"""""""" (clinical centers), and """"""""risk strata"""""""" (covariates). Receiver operating characteristic analysis, mutual information, overlap index, and the expectation-maximization algorithm will be employed to evaluate diagnostic classification accuracy. These methods may be generalized to many problems related to the analysis of prospective diagnostic trials. ? ? The short-term goal of this research is to develop informatics tools to validate diagnostic systems such as breast cancer mammography and functional magnetic resonance imaging. The long-term goal is to develop efficient ways for better analyzing clustered data and utilizing prior knowledge in multi-center clinical trials. ? ?
| Thompson, Deanne K; Lee, Katherine J; Egan, Gary F et al. (2014) Regional white matter microstructure in very preterm infants: predictors and 7 year outcomes. Cortex 52:60-74 |
| Thompson, Deanne K; Adamson, Christopher; Roberts, Gehan et al. (2013) Hippocampal shape variations at term equivalent age in very preterm infants compared with term controls: perinatal predictors and functional significance at age 7. Neuroimage 70:278-87 |
| Thompson, Deanne K; Inder, Terrie E; Faggian, Nathan et al. (2012) Corpus callosum alterations in very preterm infants: perinatal correlates and 2 year neurodevelopmental outcomes. Neuroimage 59:3571-81 |
| Thompson, Deanne K; Ahmadzai, Zohra M; Wood, Stephen J et al. (2012) Optimizing hippocampal segmentation in infants utilizing MRI post-acquisition processing. Neuroinformatics 10:173-80 |
| Wintermark, Pia; Hansen, Anne; Soul, Janet et al. (2011) Early versus late MRI in asphyxiated newborns treated with hypothermia. Arch Dis Child Fetal Neonatal Ed 96:F36-44 |
| Gholipour, Ali; Estroff, Judy A; Barnewolt, Carol E et al. (2011) Fetal brain volumetry through MRI volumetric reconstruction and segmentation. Int J Comput Assist Radiol Surg 6:329-39 |
| Vigneron, Lara M; Warfield, Simon K; Robe, Pierre A et al. (2011) 3D XFEM-based modeling of retraction for preoperative image update. Comput Aided Surg 16:121-34 |
| Wintermark, P; Hansen, A; Gregas, M C et al. (2011) Brain perfusion in asphyxiated newborns treated with therapeutic hypothermia. AJNR Am J Neuroradiol 32:2023-9 |
| Thompson, Deanne K; Inder, Terrie E; Faggian, Nathan et al. (2011) Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI. Neuroimage 55:479-90 |
| Joldes, Grand Roman; Wittek, Adam; Miller, Karol (2010) Real-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical Simulation. Comput Methods Appl Mech Eng 199:3305-3314 |
Showing the most recent 10 out of 37 publications
