Grove, OlyaBerglund, Anders E.Schabath, Matthew B.Aerts, HugoDekker, AndreWang, HuaVelazquez, Emmanuel RiosLambin, PhilippeGu, YuhuaBalagurunathan, YoganandEikman, EdwardGatenby, Robert A.Eschrich, StevenGillies, Robert J.2015-04-012015Grove, O., A. E. Berglund, M. B. Schabath, H. J. W. L. Aerts, A. Dekker, H. Wang, E. R. Velazquez, et al. 2015. “Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma.” PLoS ONE 10 (3): e0118261. doi:10.1371/journal.pone.0118261. http://dx.doi.org/10.1371/journal.pone.0118261.1932-6203http://nrs.harvard.edu/urn-3:HUL.InstRepos:14351231Two CT features were developed to quantitatively describe lung adenocarcinomas by scoring tumor shape complexity (feature 1: convexity) and intratumor density variation (feature 2: entropy ratio) in routinely obtained diagnostic CT scans. The developed quantitative features were analyzed in two independent cohorts (cohort 1: n = 61; cohort 2: n = 47) of patients diagnosed with primary lung adenocarcinoma, retrospectively curated to include imaging and clinical data. Preoperative chest CTs were segmented semi-automatically. Segmented tumor regions were further subdivided into core and boundary sub-regions, to quantify intensity variations across the tumor. Reproducibility of the features was evaluated in an independent test-retest dataset of 32 patients. The proposed metrics showed high degree of reproducibility in a repeated experiment (concordance, CCC≥0.897; dynamic range, DR≥0.92). Association with overall survival was evaluated by Cox proportional hazard regression, Kaplan-Meier survival curves, and the log-rank test. Both features were associated with overall survival (convexity: p = 0.008; entropy ratio: p = 0.04) in Cohort 1 but not in Cohort 2 (convexity: p = 0.7; entropy ratio: p = 0.8). In both cohorts, these features were found to be descriptive and demonstrated the link between imaging characteristics and patient survival in lung adenocarcinoma.en-USQuantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung AdenocarcinomaJournal Article2015-04-0110.1371/journal.pone.0118261