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PREDICT SIGNED

A new era in personalised medicine: Radiomics as decision support tool for diagnostics and theragnostics in oncology

Total Cost €

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EC-Contrib. €

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Partnership

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Project "PREDICT" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT MAASTRICHT 

Organization address
address: Minderbroedersberg 4-6
city: MAASTRICHT
postcode: 6200 MD
website: http://www.maastrichtuniversity.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 3˙860˙059 €
 EC max contribution 3˙860˙059 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2017
 Funding Scheme MSCA-ITN-ETN
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT MAASTRICHT NL (MAASTRICHT) coordinator 510˙748.00
2    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR (PARIS) participant 525˙751.00
3    FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI IT (Milan) participant 516˙122.00
4    ONCORADIOMICS BE (LIEGE) participant 501˙120.00
5    DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG DE (HEIDELBERG) participant 498˙432.00
6    MIRADA MEDICAL LTD UK (OXFORD) participant 273˙287.00
7    PERSPECTUM DIAGNOSTICS LTD UK (OXFORD) participant 273˙287.00
8    ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM NL (ROTTERDAM) participant 255˙374.00
9    HEALTH INNOVATION VENTURES BV NL (MAASTRICHT) participant 255˙374.00
10    UNIVERSITE DE LIEGE BE (LIEGE) participant 250˙560.00
11    DualTpharma NL (MAASTRICHT) partner 0.00
12    ELSEVIER BV NL (AMSTERDAM) partner 0.00
13    EUROPEAN CANCER PATIENT COALITION BE (BRUXELLES) partner 0.00
14    HEIDELBERGER IONENSTRAHL THERAPIE (HIT) BETRIEBS GESELLSCHAFT AM UNIVERSITATSKLINIKUM HEIDELBERG MIT BESCHRANKTER HAFTUNG DE (HEIDELBERG) partner 0.00
15    Siemens DE (Munich) partner 0.00
16    TTOPSTART BV NL (UTRECHT) partner 0.00
17    Universita' Cattolica S. Cuore, Roma IT (Roma) partner 0.00
18    UNIVERSITATSKLINIKUM HEIDELBERG DE (HEIDELBERG) partner 0.00

Map

 Project objective

The high degree of tumour (genomic and phenotypic) heterogeneity influences patient’s response to therapy and hampers wide deployment of personalised medicine for cancer treatment. Thus, there is an imperative need for new technologies that can accurately detect tumour heterogeneity, allow for patient stratification and assist clinicians in providing the right diagnosis and treatment for the right patient. PREDICT’s mission is to address this huge unmet need. Radiomics, a newly emerging field that uses high-throughput extraction of large amounts of features from radiographic images, can boost the field of personalised medicine. The analysis of medical images taken as standard-of-care allows Radiomics to capture tumour heterogeneity and to generate ‘tumour-specific’ signatures in a non-invasive way, without the need of assessing the patient’s genetic profile. Thus, Radiomics, if linked to Big- data and decision support systems (DSS), can be used as diagnostic tool for patient stratification, for prediction of treatment response and for guidance, involving the patient, of clinical decisions in oncology. However, researchers that understand cancer biology, advanced imaging and big data analytics are virtually absent. Even more challenging is to translate the outcomes into actual clinical tools involving the patient. PREDICT will train 15 highly promising researchers in the emerging field of Radiomics and Big data. These ESRs will be trained to implement the automatic exploitation of large amounts of imaging data to drive decision-making algorithms that will guide diagnosis and treatment of different types of cancer and to develop ‘tumour-specific’ signatures integrated in multifactorial DSS. The ESRs will become experts and innovators in Radiomics, Big Data and DSS, which will allow them to bring unique solutions towards the clinic. PREDICT builds upon a strong consortium with 8 academic and 10 non-academic partners that are all pioneers in their respective field.

 Publications

year authors and title journal last update
List of publications.
2019 (2) Janna E. van Timmeren, Wouter van Elmpt, Ralph T.H.Leijenaar, Bart Reymen, René Monshouwer, Johan Bussink, Leen Paelinck, Evelien Bogaert, Carlos De Wagter, Elamin Elhaseen, Yolande Lievens, Olfred Hanseneg, Carsten Brink, Philippe Lambin
Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence
published pages: , ISSN: 0167-8140, DOI:
Radiotherapy and Oncology 136 2020-01-29
2019 A. Ibrahim, H. C. Woodruff, R, Miclea, A. Jochems, R. van Joep. O. Morin, P. Lambin
Radiomics-based malignancy prediction in renal cystic lesions, Research and Patient Safety - Poster
published pages: , ISSN: , DOI:
ECR 2020-01-29
2018 A Jochems, RTH Leijenaar, M Bogowicz, FJP Hoebers, F Wesseling, SH Huang, B Chan, JN Waldron, B O\'Sullivan, D Rietveld
Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma
published pages: , ISSN: 0167-8140, DOI:
Radiotherapy and Oncology 127 2020-01-29
2019 R. Da-ano, F. Lucia, M. Vallières, P. Bonaffini, I. Masson, A. Mervoyer, C. Reinhold, U. Schick, D. Visvikis, M. Hatt
Harmonization strategies based on ComBat for mutlicentric radiomics studies
published pages: , ISSN: , DOI:
2020-01-29
2017 RTH Leijenaar, M Bogowicz, A Jochems, FJP Hoebers, FWR 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
Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
published pages: , ISSN: 0007-1285, DOI:
The British journal of radiology 91 (1086) 2020-01-29
2019 A. Iantsen, F. Lucia, M. Ferreira, P. Bonaffini, I. Masson, A. Mervoyer, C. Reinhold, P. Lovinfosse, R. Hustinx, M. De Cuypere, F. Kridelka, U. Schick, D. Visvikis, M. Hatt
Automated Cervical Primary Tumor Functional Volume Segmentation in PET Images
published pages: , ISSN: , DOI:
2020-01-29
2019 Y. van Wijk, I. Halilaj, E. van Limbergen, S. Walsh, L. Lutgens, P. Lambin, and B. G. L. Vanneste
Decision Support Systems in Prostate Cancer Treatment: An Overview
published pages: , ISSN: 2314-6141, DOI:
Biomed Research International 2019-12-17

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