CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
Dana-Farber Brigham Cancer Center · Harvard University · +7 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
705
total citations
- FWCI
- 52.41
- Percentile
- 100%
- References
- 44
Citations per year
Authors
10- TCThibaud CorollerCorresponding
Dana-Farber Brigham Cancer Center, Harvard University, Maastricht University, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Maastro Clinic
- PGPatrick Großmann
Harvard University, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Dana-Farber Brigham Cancer Center, Maastricht University, Maastro Clinic
- YHYing Hou
Dana-Farber Brigham Cancer Center, Dana-Farber Cancer Institute, Harvard University, Brigham and Women's Hospital
- EREmmanuel Rios Velazquez
Dana-Farber Brigham Cancer Center, Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute
- RTRalph T. H. Leijenaar
Maastro Clinic, Maastricht University
Topics & keywords
Topics
Keywords
- Radiomics
- Concordance
- Medicine
- Univariate
- Imaging biomarker
- Multivariate analysis
- Adenocarcinoma
- Multivariate statistics
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.
Funding
- HFHealth Foundation Limburg
- NONederlandse Organisatie voor Wetenschappelijk Onderzoek
- KKKWF KankerbestrijdingAwards: UM 2009-4454, KWF MAC 2013-6089, 2011-5020, KWF UM 2009-4454, KWF UM 2011-5020, MAC 2013-6089, 2009-4454, 10696 DuCAT, 2013-6089
- NINational Institutes of HealthAward: NIH-USA U01CA190234
- SVStichting voor de Technische WetenschappenAwards: 10696 DuCAT, 10696, n° 10696 DuCAT