School of Computing, Informatics, Decision Systems Engineering,
Tempe, 85287, Arizona
Tanzania
Research Article
Pilot Study: Two-Stage Hybrid Model to Correlate Single Energy CT and PET in Pancreatic Adenocarcinoma
Author(s): Min Zhang, Jorge Oldan, Miao He, Teresa Wu, Alvin Silva, Jing Li, J Ross Mitchell, William M Pavlicek, Michael C Roarke and Amy K HaraMin Zhang, Jorge Oldan, Miao He, Teresa Wu, Alvin Silva, Jing Li, J Ross Mitchell, William M Pavlicek, Michael C Roarke and Amy K Hara
Pancreas adenocarcinoma is one of the most common malignant tumors and the fourth leading cause of cancerrelated mortality. While Computed Tomography (CT) has been commonly used clinically for the cancer staging and follow-up, Positron Emission Tomography (PET) is known to be generally more accurate and sensitive for metastases and thus has great prognostic value. However, PET is more expensive and less accessible. This research is to explore the use of multivariate models to extract valuable information from CT to mimic the effects of PET. Based on the original 6 CT measures, 10 CT biomarkers are derived. The strongest correlation with PET SUV in the multivariate regression on the 6 original measures is r2=0.41 (r=0.64), on the 10 derived biomarkers is r2=0.55 (r=0.74). We developed a twostage hybrid model, where a multivariate classifier was developed to first separate the patients .. Read More»
DOI:
10.4172/2157-7420.1000175
Journal of Health & Medical Informatics received 2128 citations as per Google Scholar report