Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients
Year: 2023
Type: article
Study design: Observational Study
Source: Oral Oncology
Authors: Can F. Koyuncu, Mitchell J. Frederick, Lester D.R. Thompson, Germán Corredor, Sirvan Khalighi, Zelin Zhang, Bolin Song, Cheng Lu, Reetoja Nag, Vidya Sankar Viswanathan, Michael Gilkey, Kailin Yang, Shlomo A. Koyfman, Deborah J. Chute, Patricia Castro, James S. Lewis, Anant Madabhushi, Vlad C. Sandulache
Institutions: Georgia Institute of Technology, Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Baylor College of Medicine, United States Department of Veterans Affairs, Veterans Health Administration, Atlanta VA Medical Center, Cleveland Clinic, Vanderbilt University, Vanderbilt University Medical Center, Michael E. DeBakey VA Medical Center
Language: English
Topic: Head and Neck Cancer Studies
Subfield: Otorhinolaryngology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funders: U.S. Department of Veterans Affairs, Conquer Cancer Foundation, AstraZeneca, Radiological Society of North America, American Society of Clinical Oncology, Cleveland Clinic, Case Western Reserve University, Case Comprehensive Cancer Center, Case Western Reserve University, National Institutes of Health, Clinical and Translational Science Collaborative of Cleveland, School of Medicine, Case Western Reserve University, Clinical Science Research and Development, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, National Center for Advancing Translational Sciences, DOD Prostate Cancer Research Program, DOD Peer Reviewed Cancer Research Program
Awards: G100871905, G1031957857, RadxTools for assessing tumor treatment response on imaging, G1119724336, G1266336578, G1357738703, G1426676655, G1471038061, G1478154455, G1505200503, G1596146291, G1817069843, G1828163000, Pathology Image Informatics Platform for visualization, analysis and management, G2228475719, G2244966566, G2276198327, BIOMEDICAL ENGINEERING RESEARCH FACILITIES, G2689512122, G278880248, G2931214990, G3068466812, G3137332008, G338730684, G3541864657, G3564444776, G3685831618, G3716872827, G3970488554, G406353596, G4148601800, Lung cancer in East Africa and the relationship to HIV-1 infection: epidemiology, molecular characterization and imaging, G431899019, G4660615791, G4787017382, G4862376799, G4918398952, HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification, G5758079931, G5850682332, G5861339792, G5931597757, G6123616905, G6239819367, G7063484662, G7124118669, Computer-Assisted Histologic Evaluation of Cardiac Allograft Rejection, G761790451, G7914042731, G7935030457, G854738250, G86714149, G9000000780, G9000016842, G9000021175, G9000023716, G9000064711, G9000153031, G9000203770, Novel Radiomics for Predicting Response to Immunotherapy for Lung Cancer, G942918344, G949296313
OpenAlex ID: W4380194010