Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

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

Research output: Contribution to journalArticleAcademicpeer-review

24 Citations (Scopus)
Original languageEnglish
Article numbere0118261
JournalPLOS ONE
Volume10
Issue number3
DOIs
Publication statusPublished - 4 Mar 2015

Cite this

Grove, O., Berglund, A. E., Schabath, M. B., Aerts, H. J. W. L., Dekker, A., Wang, H., Velazquez, E. R., Lambin, P., Gu, Y., Balagurunathan, Y., Eikman, E., Gatenby, R. A., Eschrich, S., & Gillies, R. J. (2015). Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma. PLOS ONE, 10(3), [e0118261]. https://doi.org/10.1371/journal.pone.0118261