Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ruben T. H. M. Larue"'
Autor:
Remy Klaassen, Ruben T H M Larue, Banafsche Mearadji, Stephanie O van der Woude, Jaap Stoker, Philippe Lambin, Hanneke W M van Laarhoven
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0207362 (2018)
In this study we investigate a CT radiomics approach to predict response to chemotherapy of individual liver metastases in patients with esophagogastric cancer (EGC). In eighteen patients with metastatic EGC treated with chemotherapy, all liver metas
Externí odkaz:
https://doaj.org/article/505f4d6c23014685ab3728d045398757
Autor:
Lara R. Heij, Jessica E Ruisch, Heike I. Grabsch, Robert G. Riedl, Meindert N. Sosef, Jeroen Buijsen, Inge Compter, Ruben T. H. M. Larue, Maaike Berbee, Wouter van Elmpt, Willem J. Koemans, Philippe Lambin, M. Kloft
Publikováno v:
Esophagus, 18(1), 100-110. Springer
Esophagus
Esophagus
Background The presence of lymph node metastasis (LNmets) is a poor prognostic factor in oesophageal cancer (OeC) patients treated with neoadjuvant chemoradiotherapy (nCRT) followed by surgery. Tumour regression grade (TRG) in LNmets has been suggest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed71994e0df6ffa421d700a71c904b3b
https://doi.org/10.1007/s10388-020-00777-y
https://doi.org/10.1007/s10388-020-00777-y
Autor:
Petros Kalendralis, Ruben T. H. M. Larue, Leonard Wee, Craig Parkinson, Stuart A. G. Roberts, John Staffurth, Maaike Berbee, Meindert N. Sosef, Andre Dekker, Philip Whybra, Emiliano Spezi, Kieran Foley, Tom Crosby, Zhenwei Shi
Publikováno v:
Radiotherapy and Oncology, 133, 205-212. Elsevier Ireland Ltd
Aim: Enhanced prognostic models are required to improve risk stratification of patients with oesophageal cancer so treatment decisions can be optimised. The primary aim was to externally validate a published prognostic model incorporating PET image f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6879bf88f276c5b2d605e272f602555d
https://doi.org/10.1016/j.radonc.2018.10.033
https://doi.org/10.1016/j.radonc.2018.10.033
Autor:
Ralph T.H. Leijenaar, Remy Klaassen, Philippe Lambin, Wouter van Elmpt, Mark I. van Berge Henegouwen, Ruben T. H. M. Larue, Hanneke W. M. van Laarhoven, Wendy M. J. Schreurs, Meindert N. Sosef, Arthur Jochems, Maarten C.C.M. Hulshof
Publikováno v:
Acta Oncologica
Acta Oncologica, 57(11), 1475-1481. Routledge/Taylor & Francis Group
Acta oncologica (Stockholm, Sweden), 57(11), 1475-1481. Informa Healthcare
Acta Oncologica, 57(11), 1475-1481. Routledge/Taylor & Francis Group
Acta oncologica (Stockholm, Sweden), 57(11), 1475-1481. Informa Healthcare
Background: Radiomic features retrieved from standard CT-images have shown prognostic power in several tumor sites. In this study, we investigated the prognostic value of pretreatment CT radiomic features to predict overall survival of esophageal can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aa288ceef2b4e2434d20fef14d6e113
https://doi.org/10.1080/0284186x.2018.1486039
https://doi.org/10.1080/0284186x.2018.1486039
Autor:
Felix M. Mottaghy, Linda Spiegelberg, Ludwig Dubois, Cristina Mitea, Jurgen Peerlings, Philippe Lambin, Sebastian Sandeleanu, Lien Van De Voorde, Ala Yaromina, Ruben T. H. M. Larue
Publikováno v:
Methods. 130:51-62
Purpose: In this systematic review, the existing evidence of available hypoxia-associated molecular response biomarkers in esophageal cancer (EC) patients is summarized and set into the context of the role of hypoxia in the prediction of esophageal c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe283c9732d8a98c1c94f874ce49c82f
https://doi.org/10.1016/j.ymeth.2017.07.002
https://doi.org/10.1016/j.ymeth.2017.07.002
Autor:
Ruben T. H. M. Larue, Janna E. van Timmeren, Maaike Berbee, Wouter van Elmpt, Lien Van De Voorde, Philippe Lambin, Meindert N. Sosef, Wendy M. J. Schreurs, Ralph T.H. Leijenaar
Publikováno v:
Radiotherapy and Oncology, 125(1), 147-153. Elsevier Ireland Ltd
Background and purpose: Quantitative tissue characteristics derived from medical images, also called radiomics, contain valuable prognostic information in several tumour-sites. The large number of features available increases the risk of overfitting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a26a024afc068300a39bf8ddb684bf5
https://doi.org/10.1016/j.radonc.2017.07.023
https://doi.org/10.1016/j.radonc.2017.07.023
Autor:
Patricia J.A.M. Brouwers, Erik Roelofs, Kim M. Smits, Jurgen Peerlings, Johan van Soest, Timo M. Deist, Daniëlle B.P. Eekers, Marike W. van Gisbergen, Aniek J.G. Even, Janita E. van Timmeren, Sara Carvalho, Bart Reymen, Maaike Berbee, Ben G. L. Vanneste, Ludwig Dubois, Evert J. Van Limbergen, Evelyn E.C. de Jong, Arthur Jochems, Kranthi M. Panth, Ruben T. H. M. Larue, Liesbeth J. Boersma, Bram Ramaekers, Inge Compter, Lien Van De Voorde, Cary Oberije, Wouter van Elmpt, Ralph T.H. Leijenaar, Nicolle H. Rekers, Adriana Berlanga, Jonathan A. Lal, Frank J. P. Hoebers, Andre Dekker, Jaap D. Zindler, Sean Walsh, M. Jacobs, Philippe Lambin, Catharina M.L. Zegers, Ala Yaromina, Tim Lustberg
Publikováno v:
Advanced Drug Delivery Reviews
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::179059e19e231424ede772bc310d293a
https://doi.org/10.1016/j.addr.2016.01.006
https://doi.org/10.1016/j.addr.2016.01.006
Autor:
Frank H. P. J. Raat, Giacomo Feliciani, Frans H. R. van der Zande, Ralph T.H. Leijenaar, Meindert N. Sosef, Philippe Lambin, Marco Das, Janna E. van Timmeren, Evelyn E.C. de Jong, Ruben T. H. M. Larue, Wouter van Elmpt, Wendy M. J. Schreurs
Publikováno v:
Acta Oncologica
Acta Oncologica, 56(11), 1544-1553. Routledge/Taylor & Francis Group
Acta Oncologica, 56(11), 1544-1553. Routledge/Taylor & Francis Group
Background: Radiomic analyses of CT images provide prognostic information that can potentially be used for personalized treatment. However, heterogeneity of acquisition- and reconstruction protocols influences robustness of radiomic analyses. The aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4f30abf8b9bedc58a67380c6262860a
Autor:
Banafsche Mearadji, Stephanie O. van der Woude, Ruben T. H. M. Larue, Hanneke W. M. van Laarhoven, Philippe Lambin, Remy Klaassen, Jaap Stoker
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0207362 (2018)
PLOS ONE, 13(11):0207362. Public Library of Science
PLoS ONE
PLoS ONE, 13(11):e0207362. Public Library of Science
PLOS ONE, 13(11):0207362. Public Library of Science
PLoS ONE
PLoS ONE, 13(11):e0207362. Public Library of Science
In this study we investigate a CT radiomics approach to predict response to chemotherapy of individual liver metastases in patients with esophagogastric cancer (EGC). In eighteen patients with metastatic EGC treated with chemotherapy, all liver metas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43d0febda7d0d8aefb4f15dde47a1b3a
http://europepmc.org/articles/PMC6237370?pdf=render
http://europepmc.org/articles/PMC6237370?pdf=render
Autor:
Adriana Berlanga, Catharina M.L. Zegers, Erik Roelofs, Sean Walsh, Ruben T. H. M. Larue, Sara Carvalho, M. Jacobs, Ralph T.H. Leijenaar, Frank Verhaegen, Bart Reymen, Evelyn E.C. de Jong, Evert J. Van Limbergen, Timo M. Deist, Daniëlle B.P. Eekers, Aniek J.G. Even, Wouter van Elmpt, Frank J. P. Hoebers, Lien Van De Voorde, Liesbeth J. Boersma, Qing Cheng, Kim M. Smits, Geert Bosmans, Ruud Houben, Jurgen Peerlings, Philippe Lambin, Maaike Berbee, Ben G. L. Vanneste, Andre Dekker, Jaap D. Zindler, Cary Oberije
Publikováno v:
Acta Oncologica, 54(9), 1289-1300. Routledge/Taylor & Francis Group
Background. Trials are vital in informing routine clinical care; however, current designs have major deficiencies. An overview of the various challenges that face modern clinical research and the methods that can be exploited to solve these challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85360e518125aff0ac91c4845c27330c
https://doi.org/10.3109/0284186X.2015.1062136
https://doi.org/10.3109/0284186X.2015.1062136