A Bayesian framework generalizes imaging biomarker repeatability analysis to non-normal (Dirichlet-Multinomial) biomarkers and, applied to whole-body diffusion MRI of metastatic prostate cancer, estimates an approximately 70% individual-tumor response rate across two studies.
Nancy A Obuchowski
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Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer
A Bayesian framework generalizes imaging biomarker repeatability analysis to non-normal (Dirichlet-Multinomial) biomarkers and, applied to whole-body diffusion MRI of metastatic prostate cancer, estimates an approximately 70% individual-tumor response rate across two studies.