Abstract Archives of the RSNA, 2014
INE121
How to Find Physiologically-based and Prognostic Biomarkers for Prediction of Survival Risk from Baseline First-pass Perfusion CT and DCE-MRI Analysis in Advanced Hepatocellular Carcinoma Treated with Antiangiogenic Agents
Education Exhibits
Presented in 2014
Sang Ho Lee PhD, Presenter: Nothing to Disclose
Koichi Hayano MD, Abstract Co-Author: Nothing to Disclose
Dushyant V. Sahani MD, Abstract Co-Author: Research Grant, General Electric Company
Andrew X. Zhu MD, PhD, Abstract Co-Author: Nothing to Disclose
Hiroyuki Yoshida PhD, Abstract Co-Author: Patent holder, Hologic, Inc
Patent holder, MEDIAN Technologies
To learn the essential biophysical foundation concepts and the computational approaches of pharmacokinetic (PK) models for the liver, and describe how to find effective prognostic biomarkers for survival risk prediction from baseline first-pass perfusion CT (PCT) and DCE-MRI analysis in advanced hepatocellular carcinoma (aHCC) treated with antiangiogenic agents.
Physiologic assumptions in five popular PK models: the Tofts-Kety (TK), extended TK, two-compartment exchange, adiabatic approximation to the tissue homogeneity, and distributed parameter models.
Differences in imaging protocol, input function modeling, and PK parameter computation between first-pass PCT and DCE-MRI.
Differences between standard and water exchange-modified PK models in DCE-MRI.
Methods for finding optimal prognostic biomarkers in terms of the prediction of landmark survival and the association with overall survival: 1) Receiver operating characteristic analysis with cross-validation, 2) Kaplan-Meier analysis with cross-validated dichotomized values, and 3) Cox proportional hazard regression analysis with a single continuous parameter.
Differences in prognostic biomarkers for survival risk prediction between different antiangiogenic agents (bevacizumab and sunitinib) and among different PK models in aHCC.
http://abstract.rsna.org/uploads/2014/14008308/14008308_cqtf.pdf
Lee, S,
Hayano, K,
Sahani, D,
Zhu, A,
Yoshida, H,
How to Find Physiologically-based and Prognostic Biomarkers for Prediction of Survival Risk from Baseline First-pass Perfusion CT and DCE-MRI Analysis in Advanced Hepatocellular Carcinoma Treated with Antiangiogenic Agents. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14008308.html