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Title: TU-C-12A-02: Development of a Multiparametric Statistical Response Map for Quantitative Imaging

Purpose: Quantitative imaging biomarkers (QIB) are becoming increasingly utilized in early phase clinical trials as a means of non-invasively assessing treatment response and associated response heterogeneity. The aim of this study was to develop a flexible multiparametric statistical framework to predict voxel-by-voxel response of several potential MRI QIBs. Methods: Patients with histologically proven glioblastomas (n=11) were treated with chemoradiation (with/without bevacizumab) and underwent one baseline and two mid-treatment (3–4wks) MRIs. Dynamic contrast-enhanced (3D FSPGR, 6.3sec/phase, 0.1 mmol/kg Gd-DTPA), dynamic susceptibility contrast (2D GRE-EPI, 1.5sec/phase, 0.2mmol/kg Gd-DTPA), and diffusion tensor (2D DW-EPI, b=0, 1200 s/mm{sup 2}, 27 directions) imaging acquisitions were obtained during each study. Mid-treatment and pre-treatment images were rigidly aligned, and regions of partial response (PR), stable disease (SD), and progressive disease (PD) were contoured in consensus by two experienced radiation oncologists. Voxels in these categories were used to train ordinal (PR
Authors:
 [1] ;  [2] ; ; ;  [3] ;  [4] ;  [5] ;  [6]
  1. The University of Texas Graduate School of Biomedical Sciences, Houston, TX (United States)
  2. (United States)
  3. The University of Texas MD Anderson Cancer Center, Houston, TX (United States)
  4. Texas A'M University, College Station, TX (United States)
  5. Scripps Proton Therapy Center, San Diego, CA (United States)
  6. University of Wisconsin, Madison, WI (United States)
Publication Date:
OSTI Identifier:
22409893
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 41; Journal Issue: 6; Other Information: (c) 2014 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; ACCURACY; BIOLOGICAL MARKERS; BLOOD; CLINICAL TRIALS; GADOLINIUM COMPOUNDS; GLIOMAS; NMR IMAGING; PATIENTS