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Body composition evaluation in head and neck cancer patients: a review

dc.contributor.authorAlmada-Correia, Inês
dc.contributor.authorNeves, Pedro Miguel
dc.contributor.authorMäkitie, Antti
dc.contributor.authorRavasco, Paula
dc.date.accessioned2021-03-30T14:53:48Z
dc.date.available2021-03-30T14:53:48Z
dc.date.issued2019-11-07
dc.description.abstractIntroduction: Head and neck cancer (HNC) patients show a high risk of malnutrition due to the lifestyle habits adopted prior to the diagnosis as well as to the compromising impact of both the anatomical location of the tumor and the treatment modalities on food intake. Weight change, measurement of skinfold thickness, biochemical parameters, bioelectrical impedance analysis (BIA), computed tomography (CT), magnetic resonance (MRI), or dual-energy x-ray absorptiometry (DXA) are available techniques to evaluate nutritional status and/or body composition in the clinical practice. Evaluating body composition alterations in HNC patients is essential to be able to offer the best therapeutical interventions. In this paper, we review the existing literature regarding body composition evaluation in HNC patients to determine, which is the most suitable method for this population, regarding availability in the day-to-day practice, patient burden, cost, sensibility, and specificity. Methodology: A literature search for relevant papers indexed in MEDLINE, Cochrane Library and Scielo was conducted, with no publication date restriction and for all published articles until the 31 January, 2019. All the papers written in English, with interventions in humans, exclusively considering HNC patients were selected. Results: A total of 41 studies with different methodologies were included in this review. In 15 studies BIA was the used assessment method and three of them also evaluated skinfold thickness and one was a bioelectric impedance vector analysis (BIVA). Body composition assessment was made with DXA in eight studies, one of which also included muscle biopsies. In two studies the chosen method was both BIA and DXA. CT/ positron emission tomography-CT was applied in 11 studies and one also included MRI. In two studies body composition was assessed with skinfold measurements alone and one study only used BIVA. Conclusions: Despite the different existing body composition assessment tools, it seems that skeletal muscle mass (SMM) measurement at the level of cervical spine C3 vertebra may be a reliable method for SMM assessment as it strongly correlates with cross-sectional area measures at the level of L3 and it allows a cost-effective body composition assessment without the need for additional radiation exposure.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fonc.2019.01112pt_PT
dc.identifier.eid85075881634
dc.identifier.issn2234-943X
dc.identifier.pmcPMC6854012
dc.identifier.pmid31788443
dc.identifier.urihttp://hdl.handle.net/10400.14/32395
dc.identifier.wos000498637300001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBIApt_PT
dc.subjectBody compositionpt_PT
dc.subjectCachexiapt_PT
dc.subjectCTpt_PT
dc.subjectDXApt_PT
dc.subjectHead and neck cancerpt_PT
dc.subjectLean body masspt_PT
dc.titleBody composition evaluation in head and neck cancer patients: a reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Oncologypt_PT
oaire.citation.volume9pt_PT
person.familyNameAlmada-Correia
person.familyNameNeves
person.familyNameRavasco
person.givenNameInês
person.givenNamePedro
person.givenNamePaula
person.identifier743899
person.identifier459262
person.identifier381093
person.identifier.ciencia-idC51C-82A3-2F4D
person.identifier.ciencia-id0219-A80A-F201
person.identifier.ciencia-id2E1E-155A-9B23
person.identifier.orcid0000-0002-9405-8208
person.identifier.orcid0000-0002-8641-8859
person.identifier.orcid0000-0002-6056-8269
person.identifier.scopus-author-id57206372653
person.identifier.scopus-author-id6602551513
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication674cf9ea-084c-4611-9e4c-ef7b56451fd8
relation.isAuthorOfPublication8860989d-7649-4eec-9a9e-6a85e1139f47
relation.isAuthorOfPublication2c8ebd2c-2f6d-4a0b-9271-dbe40af19875
relation.isAuthorOfPublication.latestForDiscovery8860989d-7649-4eec-9a9e-6a85e1139f47

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