Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.

Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.

Two 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 inde...

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Bibliographic Details
Main Authors: Olya Grove, Anders E Berglund, Matthew B Schabath, Hugo J W L Aerts, Andre Dekker, Hua Wang, Emmanuel Rios Velazquez, Philippe Lambin, Yuhua Gu, Yoganand Balagurunathan, Edward Eikman, Robert A Gatenby, Steven Eschrich, Robert J Gillies
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4349806?pdf=render

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http://europepmc.org/articles/PMC4349806?pdf=render

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