Larue RTHM, Van De Voorde L, van Timmeren JE, et al. Data from: 4DCT imaging to assess radiomics feature stability: an investigation for thoracic cancers. 2017. doi:10.17195/candat.2017.05.1.

• DOI
• Google Scholar

Panth K, van den Beucken T, Biemans R, et al. Data from: MMP2 small immuno protein antibody uptake in xenograft tumors is associated with MMP2 activity. 2015. doi:10.17195/candat.2015.10.6.

• DOI
• Google Scholar

Panth_MMP2-activity-vs-uptake.csv (2.03 KB) Panth_MMP2-analysis.csv (6.1 KB) Panth_MMP2-representative-images.rar (570.44 KB)

Carvalho S, Troost EGC, Bons J, Menheere P, Lambin P, Oberije C. Data from: Prognostic value of blood-biomarkers related to hypoxia, inflammation, immune response and tumour load in non-small cell lung cancer – a survival model with external validation. 2016. doi:10.17195/candat.2016.04.1.

• DOI
• Google Scholar

carvalho-prognostic-biomarkers-NSCLC.xlsx (69.51 KB)

Even A, Hamming-Vrieze O, van Elmpt W, et al. Data from: Quantitative assessment of Zirconium-89 labeled cetuximab using PETCT imaging in patients with advanced head and neck cancer - a theragnostic approach. 2016. doi:10.17195/candat.2016.11.1.

• DOI
• Google Scholar

Even_P0037C0006I4475579.ZIP (97.26 MB) Even_P0037C0006I5879176.ZIP (131.21 MB) Even_P0037C0006I6042760.ZIP (115.71 MB) Even_P0037C0006I8991415.ZIP (101.03 MB)

van Timmeren J, Leijenaar RTH, van Elmpt W, et al. Data from: Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images. 2017. doi:10.17195/candat.2017.02.1.

• DOI
• Google Scholar

Van-Timmeren_2017_cases-001-020.zip (750.99 MB) Van-Timmeren_2017_cases-021-040.zip (726.98 MB) Van-Timmeren_2017_cases-041-060.zip (777.6 MB) Van-Timmeren_2017_cases-061-080.zip (795.72 MB) Van-Timmeren_2017_cases-081-102.zip (827.01 MB)

van Timmeren J, Leijenaar RTH, van Elmpt W, et al. Data from: Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images. 2017. doi:10.17195/candat.2017.02.1.

• DOI
• Google Scholar

Van-Timmeren_2017_cases-001-020.zip (750.99 MB) Van-Timmeren_2017_cases-021-040.zip (726.98 MB) Van-Timmeren_2017_cases-041-060.zip (777.6 MB) Van-Timmeren_2017_cases-061-080.zip (795.72 MB) Van-Timmeren_2017_cases-081-102.zip (827.01 MB)

Nalbantov G, Kietselaer B, Vandecasteele K, et al. 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.

• DOI
• Google Scholar

Nalbantov G, Kietselaer B, Vandecasteele K, et al. 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.

• DOI
• Google Scholar

Aerts HJWL, Velazquez ERios, Leijenaar RTH, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006. doi:10.1038/ncomms5006.

• PubMed
• DOI
• Google Scholar

Velazquez ERios, Hoebers F, Aerts HJWL, et al. Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging. Radiother Oncol. 2014;113(3):324-30. doi:10.1016/j.radonc.2014.09.005.

• PubMed
• DOI
• Google Scholar

Loon J, Janssen MHM, Oellers MC, et al. PET imaging of hypoxia using [18F]HX4: a phase I trial. European Journal of Nuclear Medicine and Molecular Imaging. 2010;37(9):1663 - 1668. doi:10.1007/s00259-010-1437-x.

• DOI
• Google Scholar

Dubois LJ, Lieuwes NG, Janssen MHM, et al. Preclinical evaluation and validation of [18F]HX4, a promising hypoxia marker for PET imaging. Proceedings of the National Academy of Sciences. 2011;108(35):14620 - 14625. doi:10.1073/pnas.1102526108.

• DOI
• Google Scholar

Starmans MHW, Chu KC, Haider S, et al. The prognostic value of temporal in vitro and in vivo derived hypoxia gene-expression signatures in breast cancer. Radiotherapy and Oncology. 2012;102(3):436 - 443. doi:10.1016/j.radonc.2012.02.002.

• DOI
• Google Scholar

Oberije C, De Ruysscher D, Houben R, et al. A Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients. Int J Radiat Oncol Biol Phys. 2015;92(4):935-44. doi:10.1016/j.ijrobp.2015.02.048.

• PubMed
• DOI
• Google Scholar