title: Volumes to learn: advancing therapeutics with innovative computed tomography image data analysis.
abstract: Semi-automated methods for calculating tumor volumes from computed tomography images are a new tool for advancing the development of cancer therapeutics. Volumetric measurements, relying on already widely available standard clinical imaging techniques, could shorten the observation intervals needed to identify cohorts of patients sensitive or resistant to treatment.
authors.affiliation: The University of Chicago Medical Center, Chicago, Department of Medicine, Section of Hematology/Oncology,Committee on Clinical Pharmacology and Pharmacogenomics, MC2115, 5841 South Maryland Avenue, Chicago, IL 60637, USA. mmaitlan@medicine.bsd.uchicago.edu
authors.forename: Michael L
authors.initials: ML
authors.lastname: Maitland
mesh_terms: D002289:Carcinoma, Non-Small-Cell Lung / Q000000981:diagnostic imaging / Q000473:pathology; D054893:Cone-Beam Computed Tomography / Q000379:methods* / Q000639:trends*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000639:trends*; D007858:Learning; D008175:Lung Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology; D008954:Models, Biological; D010363:Pattern Recognition, Automated; D047368:Tumor Burden / Q000502:physiology