Sharing data for cancer research
Biblio
] Data from: Developing and validating a survival prediction model for NSCLC patients through distributed learning across three countries. 2017. doi:10.17195/candat.2017.02.2.
Jochems-2017-MaastroDataUnbinned.csv (62.76 KB)
Jochems-2017-MaastroDataUnbinned.csv (62.76 KB) Data from: Development and Evaluation of an Online Three-Level Proton vs Photon Decision Support Prototype for Head and Neck Cancer - Comparison of Dose, Toxicity and Cost-Effectiveness. 2015. doi:10.17195/candat.2015.10.5.
PRODECIS-HNC-results.xlsx (43.25 KB)
PRODECIS-HNC-Figure-2.png (47.07 KB)
PRODECIS-HNC-results.xlsx (43.25 KB) PRODECIS-HNC-Figure-2.png (47.07 KB)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006. doi:10.1038/ncomms5006.
. International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining. Radiother Oncol. 2014;110(2):370-374. doi:10.1016/j.radonc.2013.11.001.
. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial. Radiotherapy and Oncology. 2013;108(1):174 - 179. doi:10.1016/j.radonc.2012.09.019.
Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients. Radiotherapy and Oncology. 2013;109(1):100 - 106. doi:10.1016/j.radonc.2013.08.035.
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer. Acta Oncol. 2013;52(7):1398-404. doi:10.3109/0284186X.2013.812795.
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. Radiother Oncol. 2012;105(2):167-73. doi:10.1016/j.radonc.2012.09.023.