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Big Data and models for personalized Head and Neck Cancer Decision support

Risultati finali

Dissemination materials - third release

Diverse materials, periodically updated. They include brochures, newsletters and at least one short animation or video.

Dissemination materials - first release

Diverse materials, periodically updated. They include brochures, newsletters and at least one short animation or video.

Dissemination materials - second release

Updated dissemination materials. They include brochures, newsletters and at least one short animation or video.

The BD2Decide visualization mock-ups concepts

First conceptual mock-ups prototypes illustrating the design of the BD2Decide clinical DSS and Visual analytics tools.

The BD2Decide visualization mock-ups

Functional and working prototype of mock-ups illustrating the design of the BD2Decide clinical DSS and Visual analytics tools.

User interaction sketches

Static representation of the most relevant user I/Fs especially visualizations.

Technology validation report

Report documenting the technical verification methodology and results and the relevant system performance indicators.

Tumor & Lymph-nodes segmentation features

Description of feature sets, Image processing and analysis algorithms for the segmentation and feature extraction of Tumors and Lymph nodes in MRI.

Impacts assessment

Document reporting the measurements of KPI for usability and technology acceptance and overall impacts from health technology assessment.

Ethics report

Document highlighting the addressed and implemented actions in compliance to Ethical and Legal obligations and regulations.

Security and Standards for Clinical data

The BD2Decide Security features documentation.

Communication plan and strategy - final edition

Final release of the communication plan and strategy, updated with the communication and dissemination activities foreseen until and after the end of the project.

Quality Plan and Risk assessment

Report indicating the estimated risks, the overall QA actions foreseen in the project and the relevant checkpoints.

Communication plan and strategy

Document describing the plan for dissemination and communications, periodically updated (at month 18 and month 30)

Collected population data

Report describing the external data made available to the project.

Usability Evaluation results

A cumulative report presenting the findings of the all usability evaluation sessions in each stage of design and development.

User needs and use cases

Description of users requirements including scenarios of use, workflows schemes and sample use cases. The document will define eventual technical requirements and security and privacy aspects to be considered in the technology development.

System architecture

Technical description of the overall architecture including relevant UML diagrams.

Communications plan and strategy - second release

Second release of the communication plan and strategy, updated with new communication and dissemination activities.

The Clinical DSS tool suite

The final prototype release of the Clinical DSS tool suite to be integrated to the BD2Decide platform, accompanied by its user manual.

The Visual Analytics tool

The final prototype release of the Visual Analytics tool to be integrated to the BD2Decide platform, accompanied by its user manual.

Cost-utility analysis tool

A tool to quantify the anticipated net gain in predictive accuracy for additional sources of data Software implementation of the tool in R.

Multilayer data acquisition and management services

The services enabling the acquisition and management of data from multiple different data source.

The IPDA prototype

Prototype of Interactive Patient's co-Decision tool.

Knowledge Management System

The Knowledge Management System features documentation.

Project web site

Project website for the public, scientists,and with a private area for documents sharing.

Pubblicazioni

Big Data for Head & Neck Cancer (Workshop on BIG DATA TO IMPROVE OUTCOMES, PROCESS AND SERVICES IN HEALTH)

Autori: Giuseppe Fico
Pubblicato in: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017
Editore: IEEE

Definition of a Decision Support System to Support Research on Head and Neck Cancer

Autori: Laura Lopez Perez, Liss Hernandez, Giuseppe Fico, and Maria Teresa Arredondo
Pubblicato in: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Korea, July 2017, 2017
Editore: IEEE

A computerized decision support system for head and neck cancer. In IEEE Conference on Biomedical and Health Informatics.

Autori: Hernandez, L., Lopez-Perez, L., Fico, G., Fernández, A., Ugena, A., Guillén, S., Cabrera, M. F., Arredondo, M. T.
Pubblicato in: IEEE Conference on Biomedical and Health Informatics, Annually, 2018
Editore: IEEE

Integration of Radiomics Information in a Computerized Decision Support System for Research on Head and Neck Cancer. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Autori: Alberto Vazquez, Liss Hernandez, Laura Lopez-Perez, Ana Ugena, Sergio Guillen, Maria T. Arredondo and Giuseppe Fico, Member
Pubblicato in: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Annually, 2018
Editore: IEEE

Genomics features (GF) and integration with MRI radiomics features (RF) to develop a prognostic model in oral cavity squamous cell carcinoma (OSCC)

Autori: S. Cavalieri, L. De Cecco, G. Calareso, M. Silva, S.E. Gazzani, M. Bologna, I. Nauta, F. Wesseling, L. Lopez Perez, R. Shefi, V. Tountopoulos, G. Fico, K. Scheckenbach, R.H. Brakenhoff, F. Hoebers, S. Canevari, T. Poli, L. Licitra, L. Mainardi, B.
Pubblicato in: ESMO 2018 Congress, 2018
Editore: ESMO

Integrating population data in a computerized Decision Support System for Head and Neck Cancer

Autori: Laura Lopez-Perez, Liss Hernandez, Laura Pfaff, Annalisa Trama, Gemma Gatta, Silvia Francisci, Sandra Mallone, Elena Martinelli, Ana Ugena, Stefano Cavalieri, Lisa Licitra, Maria T. Arredondo, Giuseppe Fico
Pubblicato in: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019, Page(s) 1-4, ISBN 978-1-7281-0848-3
Editore: IEEE
DOI: 10.1109/bhi.2019.8834548

BD2Decide: Big Data and Models for Personalized Head and Neck Cancer Decision Support

Autori: Laura Lopez-Perez, Liss Hernandez, Manuel Ottaviano, Elena Martinelli, Tito Poli, Lisa Licitra, Maria T. Arredondo, Giuseppe Fico
Pubblicato in: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, Page(s) 67-68, ISBN 978-1-7281-2286-1
Editore: IEEE
DOI: 10.1109/cbms.2019.00024

Designing an ontology for Head and Neck Cancer research

Autori: Liss Hernandez, Laura Lopez-Perez, Ana M. Ugena, Maria T. Arredondo, Giuseppe Fico
Pubblicato in: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019, Page(s) 1-5, ISBN 978-1-7281-0848-3
Editore: IEEE
DOI: 10.1109/bhi.2019.8834473

EP-1061: Towards a validated Decision Aid Tool for advanced larynx cancer patients

Autori: A.J. Berlanga, M. Petersen, F. Hoebers, S. Delbressine, M. Van den Breke, P. Lambin
Pubblicato in: Radiotherapy and Oncology, 123, 2017, Page(s) S583-S584, ISSN 0167-8140
Editore: Elsevier BV
DOI: 10.1016/S0167-8140(17)31497-4

Quantitative assessment of Zirconium-89 labeled cetuximab using PET/CT imaging in patients with advanced head and neck cancer: a theragnostic approach

Autori: Aniek J.G. Even, Olga Hamming-Vrieze, Wouter van Elmpt, Véronique J.L. Winnepenninckx, Jolien Heukelom, Margot E.T. Tesselaar, Wouter V. Vogel, Ann Hoeben, Catharina M.L. Zegers, Daniëlle J. Vugts, Guus A.M.S. van Dongen, Harry Bartelink, Felix M. Mottaghy, Frank Hoebers, Philippe Lambin
Pubblicato in: Oncotarget, 2017, ISSN 1949-2553
Editore: Impact Journals
DOI: 10.18632/oncotarget.13910

Gene Expression Signatures for Head and Neck Cancer Patient Stratification: Are Results Ready for Clinical Application?

Autori: Luca Tonella, Marco Giannoccaro, Salvatore Alfieri, Silvana Canevari, Loris De Cecco
Pubblicato in: Current Treatment Options in Oncology, 18/5, 2017, ISSN 1527-2729
Editore: Current Science Inc.
DOI: 10.1007/s11864-017-0472-2

Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?

Autori: Paolo Bossi, Marco Siano, Cristiana Bergamini, Maria Cossu Rocca, Andrea P. Sponghini, Marco Giannoccaro, Luca Tonella, Alessandro Paoli, Edoardo Marchesi, Federica Perrone, Silvana Pilotti, Laura D. Locati, Silvana Canevari, Lisa Licitra, Loris De Cecco
Pubblicato in: Disease Markers, 2017, 2017, Page(s) 1-9, ISSN 0278-0240
Editore: IOS Press
DOI: 10.1155/2017/6870614

Radiomics: the bridge between medical imaging and personalized medicine

Autori: Philippe Lambin, Ralph T.H. Leijenaar, Timo M. Deist, Jurgen Peerlings, Evelyn E.C. de Jong, Janita van Timmeren, Sebastian Sanduleanu, Ruben T.H.M. Larue, Aniek J.G. Even, Arthur Jochems, Yvonka van Wijk, Henry Woodruff, Johan van Soest, Tim Lustberg, Erik Roelofs, Wouter van Elmpt, Andre Dekker, Felix M. Mottaghy, Joachim E. Wildberger, Sean Walsh
Pubblicato in: Nature Reviews Clinical Oncology, 14/12, 2017, Page(s) 749-762, ISSN 1759-4774
Editore: Nature Publishing Group
DOI: 10.1038/nrclinonc.2017.141

Feature selection methodology for longitudinal cone-beam CT radiomics

Autori: Janna E. van Timmeren, Ralph T. H. Leijenaar, Wouter van Elmpt, Bart Reymen, Philippe Lambin
Pubblicato in: Acta Oncologica, 56/11, 2017, Page(s) 1537-1543, ISSN 0284-186X
Editore: Taylor & Francis
DOI: 10.1080/0284186x.2017.1350285

Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status

Autori: Dan Ou, Pierre Blanchard, Silvia Rosellini, Antonin Levy, France Nguyen, Ralph T.H. Leijenaar, Ingrid Garberis, Philippe Gorphe, François Bidault, Charles Ferté, Charlotte Robert, Odile Casiraghi, Jean-Yves Scoazec, Philippe Lambin, Stephane Temam, Eric Deutsch, Yungan Tao
Pubblicato in: Oral Oncology, 71, 2017, Page(s) 150-155, ISSN 1368-8375
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.oraloncology.2017.06.015

Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images

Autori: Marco Bologna, Valentina D. A. Corino, Eros Montin, Antonella Messina, Giuseppina Calareso, Francesca G. Greco, Silvana Sdao, Luca T. Mainardi
Pubblicato in: Journal of Digital Imaging, 31/6, 2018, Page(s) 879-894, ISSN 0897-1889
Editore: Springer Verlag
DOI: 10.1007/s10278-018-0092-9

Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor models

Autori: Bogowicz M, Leijenaar RTH, Tanadini-Lang S, Riesterer O, Pruschy M, Studer G, Unkelbach J, Guckenberger M, Konukoglu E, Lambin P.
Pubblicato in: Radiother Oncol., 2017, Page(s) 385-391, ISSN 0167-8140
Editore: Elsevier BV

Pre-treatment CT radiomics to predict 3-year overall survival following chemoradiotherapy of esophageal cancer

Autori: Ruben T. H. M. Larue, Remy Klaassen, Arthur Jochems, Ralph T. H. Leijenaar, Maarten C. C. M. Hulshof, Mark I. van Berge Henegouwen, Wendy M. J. Schreurs, Meindert N. Sosef, Wouter van Elmpt, Hanneke W. M. van Laarhoven, Philippe Lambin
Pubblicato in: Acta Oncologica, 57/11, 2018, Page(s) 1475-1481, ISSN 0284-186X
Editore: Taylor & Francis
DOI: 10.1080/0284186X.2018.1486039

Big Data in Head and Neck Cancer

Autori: Carlo Resteghini, Annalisa Trama, Elio Borgonovi, Hykel Hosni, Giovanni Corrao, Ester Orlandi, Giuseppina Calareso, Loris De Cecco, Cesare Piazza, Luca Mainardi, Lisa Licitra
Pubblicato in: Current Treatment Options in Oncology, 19/12, 2018, ISSN 1527-2729
Editore: Current Science Inc.
DOI: 10.1007/s11864-018-0585-2

Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study

Autori: Ralph TH Leijenaar, Marta Bogowicz, Arthur Jochems, Frank JP Hoebers, Frederik WR Wesseling, Sophie H Huang, Biu Chan, John N Waldron, Brian O'Sullivan, Derek Rietveld, C Rene Leemans, Ruud H Brakenhoff, Oliver Riesterer, Stephanie Tanadini-Lang, Matthias Guckenberger, Kristian Ikenberg, Philippe Lambin
Pubblicato in: The British Journal of Radiology, 2018 Jun;91(1086), 2018, Page(s) 20170498, ISSN 0007-1285
Editore: British Institute of Radiology
DOI: 10.1259/bjr.20170498

Radiomics: Big Data statt Biopsie in der Zukunft?

Autori: Kathrin Scheckenbach
Pubblicato in: Laryngo-Rhino-Otologie, 97/S 01, 2018, Page(s) S114-S141, ISSN 0935-8943
Editore: Georg Thieme Verlag
DOI: 10.1055/s-0043-121964

Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score

Autori: Sebastian Sanduleanu, Henry C. Woodruff, Evelyn E.C. de Jong, Janna E. van Timmeren, Arthur Jochems, Ludwig Dubois, Philippe Lambin
Pubblicato in: Radiotherapy and Oncology, 127/3, 2018, Page(s) 349-360, ISSN 0167-8140
Editore: Elsevier BV
DOI: 10.1016/j.radonc.2018.03.033

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Autori: Timo M. Deist, Frank J. W. M. Dankers, Gilmer Valdes, Robin Wijsman, I-Chow Hsu, Cary Oberije, Tim Lustberg, Johan van Soest, Frank Hoebers, Arthur Jochems, Issam El Naqa, Leonard Wee, Olivier Morin, David R. Raleigh, Wouter Bots, Johannes H. Kaanders, José Belderbos, Margriet Kwint, Timothy Solberg, René Monshouwer, Johan Bussink, Andre Dekker, Philippe Lambin
Pubblicato in: Medical Physics, 45/7, 2018, Page(s) 3449-3459, ISSN 0094-2405
Editore: American Association of Physicists in Medicine
DOI: 10.1002/mp.12967

Improved high-dimensional prediction with Random Forests by the use of co-data

Autori: Dennis E. te Beest, Steven W. Mes, Saskia M. Wilting, Ruud H. Brakenhoff, Mark A. van de Wiel
Pubblicato in: BMC Bioinformatics, 18/1, 2017, ISSN 1471-2105
Editore: BioMed Central
DOI: 10.1186/s12859-017-1993-1

Evaluation of the eighth TNM classification on p16-positive oropharyngeal squamous cell carcinomas in the Netherlands and the importance of additional HPV DNA testing

Autori: I H Nauta, M M Rietbergen, A A J D van Bokhoven, E Bloemena, B I Lissenberg-Witte, D A M Heideman, R J Baatenburg de Jong, R H Brakenhoff, C R Leemans
Pubblicato in: Annals of Oncology, 29/5, 2018, Page(s) 1273-1279, ISSN 0923-7534
Editore: Oxford University Press
DOI: 10.1093/annonc/mdy060

PV-0312 Distributed learning in radiomics to predict overall survival in head and neck cancer

Autori: M. Bogowicz, A. Jochems, S.H. Huang, B. Chan, J.N. Waldron, B. O'Sullivan, S. Tanadini-Lang, O. Riesterer, G. Studer, J. Unkelbach, R.H. Brakenhoff, I. Nauta, S.E. Gazzani, G. Calareso, K. Scheckenbach, F. Hoebers, S. Barakat, S. Keek, S. Sanduleanu, M. Vergeer, R.C. Leemans, C.H. Terhaard, M.W. Van den Brekel, M. Guckenberger, P. Lambin
Pubblicato in: Radiotherapy and Oncology, 133, 2019, Page(s) S160-S161, ISSN 0167-8140
Editore: Elsevier BV
DOI: 10.1016/s0167-8140(19)30732-7

Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI‐radiomics of the brain

Autori: Marco Bologna, Valentina Corino, Luca Mainardi
Pubblicato in: Medical Physics, 2019, ISSN 0094-2405
Editore: American Association of Physicists in Medicine
DOI: 10.1002/mp.13834

Main Barriers and Needs to Support Clinical Cancer Research via Health Informatics

Autori: Laura Lopez-Perez, Silvana Canevari, Leandro Pecchia, Maria Teresa Arredondo, Lisa Licitra, Giuseppe Fico
Pubblicato in: Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019, 17-20 April 2019, Taipei, Taiwan, 74, 2020, Page(s) 174-182, ISBN 978-3-030-30635-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-30636-6_25

Set di dati

MOESM1 of Transcriptomics and Epigenomics in head and neck cancer: available repositories and molecular signatures

Autori: Serafini, Mara; Lopez-Perez, Laura; Fico, Giuseppe; Licitra, Lisa; Cecco, Loris De; Resteghini, Carlo
Pubblicato in: figshare

Feature selection methodology for longitudinal cone-beam CT radiomics

Autori: Timmeren, Janna E. Van; Leijenaar, Ralph T. H.; Elmpt, Wouter Van; Reymen, Bart; Lambin, Philippe
Pubblicato in: Taylor & Francis