Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/44629
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rocha, H. | - |
dc.contributor.author | Khouri, L. | - |
dc.contributor.author | Lopes, M.C. | - |
dc.contributor.author | Dias, J. | - |
dc.contributor.author | Ferreira, B. | - |
dc.date.accessioned | 2017-11-27T15:37:34Z | - |
dc.date.available | 2017-11-27T15:37:34Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | https://hdl.handle.net/10316/44629 | - |
dc.description.abstract | Treatment outcome prediction is an important emerging topic in oncologic care. To support radiation oncologists on their decisions, with individualized, tailored treatment regimens increasingly becoming the standard of care, accurate tools to predict tumour response to treatment are needed. The goal of this work is to identify the most determinant factor(s) for treatment response aiming to develop prediction models that robustly estimate tumour response to radiation therapy in patients with head-and-neck cancer. | por |
dc.language.iso | por | por |
dc.rights | openAccess | por |
dc.subject | Age Factors | por |
dc.subject | Antineoplastic Agents | por |
dc.subject | Cetuximab | por |
dc.subject | Chemoradiotherapy | por |
dc.subject | Cisplatin | por |
dc.subject | Cohort Studies | por |
dc.subject | Female | por |
dc.subject | Head and Neck Neoplasms | por |
dc.subject | Humans | por |
dc.subject | Logistic Models | por |
dc.subject | Male | por |
dc.subject | Middle Aged | por |
dc.subject | Prognosis | por |
dc.subject | Radiotherapy Planning, Computer-Assisted | por |
dc.subject | Treatment Failure | por |
dc.subject | Nomograms | por |
dc.title | Treatment failure prediction for head-and-neck cancer radiation therapy | por |
dc.type | article | - |
degois.publication.firstPage | 268 | por |
degois.publication.lastPage | 274 | por |
degois.publication.issue | 4 | por |
degois.publication.title | Cancer/Radiothérapie | por |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1278321816300695 | por |
dc.peerreviewed | yes | por |
dc.identifier.doi | 10.1016/j.canrad.2016.02.012 | - |
degois.publication.volume | 20 | por |
uc.controloAutoridade | Sim | - |
item.fulltext | Com Texto completo | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.languageiso639-1 | pt | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
crisitem.author.researchunit | INESC Coimbra – Institute for Systems Engineering and Computers at Coimbra | - |
crisitem.author.researchunit | CeBER – Centre for Business and Economics Research | - |
crisitem.author.orcid | 0000-0002-5981-4469 | - |
Appears in Collections: | FEUC- Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
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CANRAD-S-15-00205.pdf | 1.64 MB | Adobe PDF | View/Open |
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