Quantification of Tumor Burden in a Genetically Engineered Mouse Model of Lung Cancer by Micro-CT and Automated Analysis

Genetically engineered mouse models (GEMMs) of lung cancer closely recapitulate the human disease but suffer from the difficulty of evaluating tumor growth by conventional methods. Herein, a novel automated image analysis method for estimating the lung tumor burden from in vivo micro-computed tomogr...

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Bibliographic Details
Main Authors: Kai H. Barck, Hani Bou-Reslan, Ujjawal Rastogi, Timothy Sakhuja, Jason E. Long, Rafael Molina, Anthony Lima, Patricia Hamilton, Melissa R. Junttila, Leisa Johnson, Richard A.D. Carano
Format: Article
Language:English
Published: Elsevier 2015-04-01
Series:Translational Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523315000194