Overview of CancerData publications

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Below, an overview of all published information is given. Use the tabs to navigate between types of information.
Title Authors Year DOI
EPTN International Neurological Contouring Atlas (INCA) instruction videos David Hofstede, Dario Di Perri, Erik Roelofs, Alida Postma, Esther Troost, Daniëlle Eekers 2022 10.17195/candat.2022.02.1
EPTN consensus-based toxicity scoring standard for the follow-up of adult brain and base of skull tumours after radiotherapy Laurien De Roeck, Hiska L van der Weide, Daniëlle BP Eekers, Erik Roelofs, Esther GC Troost, Maarten Lambrecht 2021 10.17195/candat.2021.09.1
EPTN International Neurological Contouring Atlas - 2021 Update Daniëlle Eekers, Dario Di Perri, Erik Roelofs, Alida Postma, Esther Troost 2021 10.17195/candat.2021.02.1
EPTN consensus-based guideline for the tolerance dose per fraction of organs at risk in the brain Daniëlle BP Eekers, Maarten Lambrecht, Petra De Witt Nyström, Ans Swinnen, Frederik WR Wesseling, Erik Roelofs, Esther GC Troost 2018 10.17195/candat.2018.01.1
Optimization of Brain and Head & Neck Radiotherapy Daniëlle BP Eekers 2018 10.17195/candat.2018.12.7
Atlas for the delineation for organs-at-risk in NSCLC Heike Peulen, José Belderbos, Matthias Guckenberger, Andrew Hope, Inga Grills, Marcel van Herk, Jan-Jakob Sonke 2017 10.17195/candat.2017.04.1
EPTN International Neurological Contouring Atlas Daniëlle Eekers, Lieke In T Ven, Erik Roelofs, Alida Postma, Esther G Troost 2017 10.17195/candat.2017.08.1
Developing and validating a survival prediction model for NSCLC patients through distributed learning across three countries Arthur Jochems, Timo M. Deist, Issam El Naqa, Marc Kessler, Chuck Mayo, Jackson Reeves, Shruti Jolly, Martha Matuszak, Randall Ten Haken, Johan van Soest, Cary Oberije, Corinne Faivre-Finn, Gareth Price, Dirk de Ruysscher, Philippe Lambin, Andre Dekker 2017 10.1016/j.ijrobp.2017.04.021
ULISSE: Umbrella protocoL ISSue for oncological patiEnts Vincenzo Valentini 2017 10.17195/candat.2016.09.1
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 Qing Cheng, Erik Roelofs, Bram L.T. Ramaekers, Daniëlle Eekers, Johan van Soest, Tim Lustberg, Tim Hendriks, Frank Hoebers, Hans Paul van der Laan, Erik W. Korevaar, Andre Dekker, Johannes A. Langendijk, Philippe Lambin 2016 10.1016/j.radonc.2015.12.029
From Data to Decision - A Knowledge Engineering approach to individualise cancer therapy Erik Roelofs 2016 10.17195/candat.2016.07.1
Advanced MR Imaging Protocol for Glioblastoma Yue Cao 2016 10.17195/candat.2016.03.1
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 Sara Carvalho, Esther G.C. Troost, Judith Bons, Paul Menheere, Philippe Lambin, Cary Oberije 2016 10.1016/j.radonc.2016.04.024
Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicentric in silico ROCOCO trial Daniëlle B.P. Eekers, Erik Roelofs, Urszula Jelen, Maura Kirk, Marlies Granzier, Filippo Ammazzalorso, Peter H. Ahn, Geert O.R.J Janssens, Frank J.P. Hoebers, Tobias Friedmann, Timothy Solberg, Sean Walsh, Esther G.C. Troost, Johannes H.A.M. Kaanders, Philippe Lambin 2016 10.1016/j.radonc.2016.08.020
PET-based dose painting in non-small cell lung cancer: Comparing uniform dose escalation with boosting hypoxic and metabolically active sub-volumes Aniek J.G. Even, Judith van der Stoep, Catharina M.L. Zegers, Bart Reymen, Esther G.C. Troost, Philippe Lambin, Wouter van Elmpt 2015 10.1016/j.radonc.2015.07.013
Multi-state statistical modeling: a tool to build a lung cancer micro-simulation model that includes parameter uncertainty and patient heterogeneity M.L. Bongers, D. De Ruysscher, C. Oberije, P.Lambin, C.A. Uyl-de Groot, V.M.H. Coupé 2015 10.1177/0272989X15574500
A validated prediction model for overall survival from Stage III Non Small Cell Lung Cancer: towards survival prediction for individual patients. Cary Oberije, Dirk De Ruysscher, Ruud Houben, Michel van de Heuvel, Wilma Uyterlinde, Joseph Deasy, Jose Belderbos, Anne-Marie C. Dingemans, Andreas Rimner, Shaun Din, Philippe Lambin 2015 10.1016/j.ijrobp.2015.02.048
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hugo J. W. L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, Chintan Parmar, Patrick Grossmann, Sara Carvalho, Johan Bussink, René Monshouwer, Benjamin Haibe-Kains, Derek Rietveld, Frank Hoebers, Michelle M. Rietbergen, C. René Leemans, Andre Dekker, John Quackenbush, Robert J. Gillies, Philippe Lambin 2014 10.1038/ncomms5006
Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging Emmanuel Rios Velazquez, Frank Hoebers, Hugo J.W.L. Aerts, Michelle M. Rietbergen, Ruud H. Brakenhoff, C. René Leemans, Ernst-Jan Speel, Jos Straetmans, Bernd Kremer, Philippe Lambin 2014 10.1016/j.radonc.2014.09.005
EuroCAT Umbrella Protocol for NSCLC Cary Oberije, Esther Troost, Michael Eble, Paul Bulens, Philippe Coucke, Katrien De Jaeger, Philippe Lambin 2013 10.17195/candat.2013.08.1
International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining Erik Roelofs, André Dekker, Elisa Meldolesi, Ruud G.P.M. van Stiphout, Vincenzo Valentini, Philippe Lambin 2013 10.1016/j.radonc.2013.11.001
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer Carvalho S, Leijenaar RT, Velazquez ER, Oberije C, Parmar C, van Elmpt W, Reymen B, Troost EG, Oellers M, Dekker A, Gillies R, Aerts HJ, Lambin P 2013 10.3109/0284186X.2013.812795
Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients Georgi Nalbantov, Bas Kietselaer, Katrien Vandecasteele, Cary Oberije, Maaike Berbee, Esther Troost, Anne-Marie Dingemans, Angela van Baardwijk, Kim Smits, André Dekker, Johan Bussink, Dirk De Ruysscher, Yolande Lievens, Philippe Lambin 2013 10.1016/j.radonc.2013.08.035
A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists’ delineations and with the surgical specimen Emmanuel Rios Velazquez, Hugo J.W.L. Aerts, Yuhua Gu, Dmitry B. Goldgof, Dirk De Ruysscher, Andre Dekker, René Korn, Robert J. Gillies, Philippe Lambin 2012 10.1016/j.radonc.2012.09.023
Standard Follow Up Program For Head And Neck Cancer Patients Johannes A. Langendijk, Phillipe Lambin 2012 10.17195/candat.2012.01.1
The prognostic value of temporal in vitro and in vivo derived hypoxia gene-expression signatures in breast cancer Maud H.W. Starmans, Kenneth C. Chu, Syed Haider, Francis Nguyen, Renaud Seigneuric, Michael G. Magagnin, Marianne Koritzinsky, Arek Kasprzyk, Paul C. Boutros, Bradly G. Wouters, Philippe Lambin 2012 10.1016/j.radonc.2012.02.002
Preclinical evaluation and validation of [18F]HX4, a promising hypoxia marker for PET imaging Ludwig J. Dubois, Natasja G. Lieuwes, Marco H. M. Janssen, Wenny J. M. Peeters, Albert D. Windhorst, Joseph C. Walsh, Hartmuth C. Kolb, Michel C. Öllers, Johan Bussink, Guus A. M. S. van Dongen, Albert van der Kogel, Philippe Lambin 2011 10.1073/pnas.1102526108
PET imaging of hypoxia using [18F]HX4: a phase I trial Judith van Loon, Marco H. M. Janssen, Michel Öllers, Hugo J. W. L. Aerts, Ludwig Dubois, Monique Hochstenbag, Anne-Marie C. Dingemans, Roy Lalisang, Boudewijn Brans, Bert Windhorst, Guus A. van Dongen, Hartmuth Kolb, James Zhang, Dirk De Ruysscher, Philippe Lambin 2010 10.1007/s00259-010-1437-x
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 S. Carvalho; E.G.C. Troost; J. Bons; P. Menheere; P. Lambin; C. Oberije 2016 10.17195/candat.2016.04.1
Radiomics Digital Phantom P. Lambin 2016 10.17195/candat.2016.08.1
Data from: 4DCT imaging to assess radiomics feature stability: an investigation for thoracic cancers R.T.H.M. Larue; L. Van De Voorde; J.E. van Timmeren; R.T.H. Leijenaar; M. Berbee; M.N. Sosef; W.M.J. Schreurs; W. van Elmpt; P. Lambin 2017 10.17195/candat.2017.05.1
Preclinical evaluation and validation of [18F]HX4, a promising hypoxia marker for PET imaging L.J. Dubois; N.G. Lieuwes; M.H.M. Janssen; W.J.M. Peeters; A.D. Windhorst; J.C. Walsh; H.C. Kolb; M.C. Oellers; J. Bussink; G.A.M.S. van Dongen; A. van der Kogel; P. Lambin 2011 10.1073/pnas.1102526108
Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging. E.Rios Velazquez; F. Hoebers; H.J.W.L. Aerts; M.M. Rietbergen; R.H. Brakenhoff; R.C. Leemans; E.J. Speel; J. Straetmans; B. Kremer; P. Lambin 2014 10.1016/j.radonc.2014.09.005
A Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients. C. Oberije; D. De Ruysscher; R. Houben; M. van de Heuvel; W. Uyterlinde; J.O. Deasy; J. Belderbos; A.M.C. Dingemans; A. Rimner; S. Din; P. Lambin 2015 10.1016/j.ijrobp.2015.02.048
Data from: Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicenter in silico ROCOCO trial D. Eekers; E. Roelofs; U. Jelen; M. Kirk; M. Granzier; F. Ammazzalorso; P.H. Ahn; G.O.R.J. Janssens; F. Hoebers; T. Friedmann; T. Solberg; S. Walsh; E.G.C. Troost; J.H.A.M. Kaanders; P. Lambin 2016 10.17195/candat.2016.04.2
Data from: Quantitative assessment of Zirconium-89 labeled cetuximab using PETCT imaging in patients with advanced head and neck cancer - a theragnostic approach A. Even; O. Hamming-Vrieze; W. van Elmpt; V. Winnepenninckx; J. Heukelom; M. Tesselaar; W. Vogel; A. Hoeben; C.M.L. Zegers; D. Vugts; G. Van Dongen; H. Bartelink; F. Mottaghy; F. Hoebers; P. Lambin 2016 10.17195/candat.2016.11.1
The posterior cerebellum, a new organ at risk? D.B.P. Eekers; Lin 't Ven; S. Deprez; L. Jacobi; E. Roelofs; A. Hoeben; P. Lambin; D. De Ruysscher; E.G.C. Troost 2018 10.1016/j.ctro.2017.11.010
Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial E. Roelofs; L. Persoon; S. Nijsten; W. Wiessler; A. Dekker; P. Lambin 2013 10.1016/j.radonc.2012.09.019
PET imaging of hypoxia using [18F]HX4: a phase I trial J. Loon; M.H.M. Janssen; M.C. Oellers; H.J.W.L. Aerts; L.J. Dubois; M. Hochstenbag; A.M.C. Dingemans; R. Lalisang; B. Brans; B. Windhorst; G.A. Dongen; H.C. Kolb; J. Zhang; D. De Ruysscher; P. Lambin 2010 10.1007/s00259-010-1437-x
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer. S. Carvalho; R.T.H. Leijenaar; E.Rios Velazquez; C. Oberije; C. Parmar; W. van Elmpt; B. Reymen; E.G.C. Troost; M. Oellers; A. Dekker; R. Gillies; H.J.W.L. Aerts; P. Lambin 2013 10.3109/0284186X.2013.812795
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 Q. Cheng; E. Roelofs; B. Ramaekers; D. Eekers; J. van Soest; T. Lustberg; F. Hoebers; H.Paul van der Laan; E. Korevaar; A. Dekker; J. Langendijk; P. Lambin 2015 10.17195/candat.2015.10.5
From Data to Decision - A Knowledge Engineering approach to individualise cancer therapy E. Roelofs 2016 10.17195/candat.2016.07.01
Data from: Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images J. van Timmeren; R.T.H. Leijenaar; W. van Elmpt; B. Reymen; C. Oberije; R. Monshouwer; J. Bussink; C. Brink; O. Hansen; P. Lambin 2017 10.17195/candat.2017.02.1
Data from: Intensity-modulated proton therapy decreases dose to organs at risk in low-grade glioma patients: results of a multicentric in silico ROCOCO trial D. Eekers; E. Roelofs; M. Cubillos-Mesias; C. Niël; R.Jan Smeenk; A. Hoeben; A.W.H. Minken; J.H.A.M. Kaanders; P. Lambin; E.G.C. Troost 2018 10.17195/candat.2018.05.1
Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients G. Nalbantov; B. Kietselaer; K. Vandecasteele; C. Oberije; M. Berbee; E.G.C. Troost; A.M.C. Dingemans; A. van Baardwijk; K. Smits; A. Dekker; J. Bussink; D. De Ruysscher; Y. Lievens; P. Lambin 2013 10.1016/j.radonc.2013.08.035
International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining. E. Roelofs; A. Dekker; E. Meldolesi; R.G.P.M. van Stiphout; V. Valentini; P. Lambin 2014 10.1016/j.radonc.2013.11.001
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. E.Rios Velazquez; H.J.W.L. Aerts; Y. Gu; D.B. Goldgof; D. De Ruysscher; A. Dekker; R. Korn; R.J. Gillies; P. Lambin 2012 10.1016/j.radonc.2012.09.023
Data from: MMP2 small immuno protein antibody uptake in xenograft tumors is associated with MMP2 activity K. Panth; T. van den Beucken; R. Biemans; N. Lieuwes; M. Weber; M. Losen; A. Yaromina; L. Dubois; P. Lambin 2015 10.17195/candat.2015.10.6
Data from: Nitroglycerin in non-small cell lung cancer: does it impact tumor hypoxia and tumor perfusion? A window-of-opportunity clinical trial. B. Reymen; M.W. van Gisbergen; A.J.G. Even; C.M.L. Zegers; C. Oberije; F. Mottaghy; M. Das; A. Yaromina; W. van Elmpt; D. De Ruysscher; L. Dubois; P. Lambin 2016 10.17195/candat.2016.07.2
Data from: Developing and validating a survival prediction model for NSCLC patients through distributed learning across three countries A. Jochems; T.M. Deist; I.El Naqa; M. Kessler; C. Mayo; J. Reeves; S. Jolly; M. Matuszak; R.Ten Haken; J. van Soest; C. Oberije; C. Faivre-Finn; G. Price; D. De Ruysscher; P. Lambin; A. Dekker 2017 10.17195/candat.2017.02.2
Optimization of Brain and Head & Neck Radiotherapy D.B.P. Eekers 2018 10.17195/candat.2018.12.7
The prognostic value of temporal in vitro and in vivo derived hypoxia gene-expression signatures in breast cancer M.H.W. Starmans; K.C. Chu; S. Haider; F. Nguyen; R. Seigneuric; M.G. Magagnin; M. Koritzinsky; A. Kasprzyk; P.C. Boutros; B.G. Wouters; P. Lambin 2012 10.1016/j.radonc.2012.02.002
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. H.J.W.L. Aerts; E.Rios Velazquez; R.T.H. Leijenaar; C. Parmar; P. Grossmann; S. Carvalho; J. Bussink; R. Monshouwer; B. Haibe-Kains; D. Rietveld; F. Hoebers; M.M. Rietbergen; R. Leemans; A. Dekker; J. Quackenbush; R.J. Gillies; P. Lambin 2014 10.1038/ncomms5006
PET-based dose painting in non-small cell lung cancer: Comparing uniform dose escalation with boosting hypoxic and metabolically active sub-volumes. A.J.G. Even; J. van der Stoep; C.M.L. Zegers; B. Reymen; E.G.C. Troost; P. Lambin; W. van Elmpt 2015 10.1016/j.radonc.2015.07.013
Data from: A validated Tumor Control Probability model based on a meta-analysis of low, intermediate, and high-risk prostate cancer patients treated by photon, proton, or carbon-ion radiotherapy S. Walsh; E. Roelofs; P. Kuess; P. Lambin; B. Jones; D. Georg; F. Verhaegen 2015 10.17195/candat.2015.10.8