Radiomics of lung cancer (RAIL): non-invasive stratification of tumour heterogeneity for personalised cancer therapy

Project Information

RAIL

Grant agreement ID: 673780

DOI

10.3030/673780

Project closed

EC signature date 28 May 2015

Start date 1 June 2015

End date 31 March 2020

Funded under

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Total cost

€ 2 427 593,75

EU contribution

€ 2 427 593,75

Coordinated by

PT THERAGNOSTIC BV
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Demonstrators, pilots, prototypes (2)

Completion of patient accrual
CE approval

Complete CE file for self-regulation of RadioCAP in the EU

Documents, reports (9)

Annual update communication and dissemination plan
Research protocol written and distributed to all participating centres

Research protocol written and distributed to all participating centres.

Medical ethical approval of the phase II protocol in all centres

Medical ethical approval of the phase II protocol in all centres for clinical trial

Exploitation plan and annual updates

Exploitation plan and annual updates (M24,36,48)

Annual update communication and dissemination plan M36

Annual update communication and dissemination plan (M36).

Detailed communication and dissemination plan

Detailed communication and dissemination plan and annual updates

Dissemination material and updates

Dissemination material and updates (M12,24,36,48)

Annual update communication and dissemination plan M48

Annual update communication and dissemination plan (M48).

Design History File

The Design History File will be completed in parallel to the final RadioCAP prototype.

Websites, patent fillings, videos etc. (1)

Online version of public web site

Publications

Peer reviewed articles (6)

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

Author(s): Weimiao Wu, Chintan Parmar, Patrick Grossmann, John Quackenbush, Philippe Lambin, Johan Bussink, Raymond Mak, Hugo J. W. L. Aerts
Published in: Frontiers in Oncology, Issue 6, 2016, ISSN 2234-943X
Publisher: Frontiers Media S. A.
DOI: 10.3389/fonc.2016.00071

Decision support systems for personalized and participative radiation oncology

Author(s): Philippe Lambin, Jaap Zindler, Ben G.L. Vanneste, Lien Van De Voorde, Daniëlle Eekers, Inge Compter, Kranthi Marella Panth, Jurgen Peerlings, Ruben T.H.M. Larue, Timo M. Deist, Arthur Jochems, Tim Lustberg, Johan van Soest, Evelyn E.C. de Jong, Aniek J.G. Even, Bart Reymen, Nicolle Rekers, Marike van Gisbergen, Erik Roelofs, Sara Carvalho, Ralph T.H. Leijenaar, Catharina M.L. Zegers, Maria Jacobs
Published in: Advanced Drug Delivery Reviews, 2016, ISSN 0169-409X
Publisher: Elsevier BV
DOI: 10.1016/j.addr.2016.01.006

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

Author(s): Sara Carvalho, Esther G.C. Troost, Judith Bons, Paul Menheere, Philippe Lambin, Cary Oberije
Published in: Radiotherapy and Oncology, Issue 119/3, 2016, Page(s) 487-494, ISSN 0167-8140
Publisher: Elsevier BV
DOI: 10.1016/j.radonc.2016.04.024

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

Author(s): Chintan Parmar, Patrick Grossmann, Derek Rietveld, Michelle M. Rietbergen, Philippe Lambin, Hugo J. W. L. Aerts
Published in: Frontiers in Oncology, Issue 5, 2015, ISSN 2234-943X
Publisher: Frontiers Media S. A.
DOI: 10.3389/fonc.2015.00272

The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis

Author(s): Ralph T.H. Leijenaar, Georgi Nalbantov, Sara Carvalho, Wouter J.C. van Elmpt, Esther G.C. Troost, Ronald Boellaard, Hugo J.W.L Aerts, Robert J. Gillies, Philippe Lambin
Published in: Scientific Reports, Issue 5, 2015, Page(s) 11075, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/srep11075

Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer

Author(s): Evelyn E.C. de Jong, Wouter van Elmpt, Stefania Rizzo, Anna Colarieti, Gianluca Spitaleri, Ralph T.H. Leijenaar, Arthur Jochems, Lizza E.L. Hendriks, Esther G.C. Troost, Bart Reymen, Anne-Marie C. Dingemans, Philippe Lambin
Published in: Lung Cancer, Issue 124, 2018, Page(s) 6-11, ISSN 0169-5002
Publisher: Elsevier BV
DOI: 10.1016/j.lungcan.2018.07.023

Conference proceedings (1)

Prospective Validation of a Radiomics Signature for Chemoradiotherapy Lung Cancer Patients

Author(s): Ralph Leijenaar, Sean Walsh
Published in: ESTRO2020, 2020
Publisher: ESTRO