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

• Olya Grove,

  Affiliation Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Anders E. Berglund,

  Affiliation Department of Biomedical Informatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Matthew B. Schabath,

  Affiliation Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Hugo J. W. L. Aerts,

  Affiliations Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States of America, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States of America

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• Andre Dekker,

  Affiliation Department of Radiation Oncology, MAASTRO clinic, Research Institute GROW, Maastricht University, 6229ET Maastricht, The Netherlands

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• Hua Wang,

  Affiliations Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America, Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China

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• Emmanuel Rios Velazquez,

  Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States of America

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• Philippe Lambin,

  Affiliation Department of Radiation Oncology, MAASTRO clinic, Research Institute GROW, Maastricht University, 6229ET Maastricht, The Netherlands

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• Yuhua Gu,

  Affiliation Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Yoganand Balagurunathan,

  Affiliation Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Edward Eikman,

  Affiliation Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Robert A. Gatenby,

  Affiliations Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America, Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Steven Eschrich,

  Affiliation Department of Biomedical Informatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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• Robert J. Gillies

  * E-mail: Robert.Gillies@Moffitt.org

  Affiliations Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America, Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America

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