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Clinical 3-D Gait Assessment of Patients with Polyneuropathy Associated with Hereditary Transthyretin Amyloidosis

2020-11-23Journal article Open access
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dc.contributor.authorVilas-Boas, Maria do Carmo
dc.contributor.authorRocha, Ana Patrícia
dc.contributor.authorCardoso, Márcio Neves
dc.contributor.authorFernandes, José Maria
dc.contributor.authorCoelho, Teresa
dc.contributor.authorCunha, João Paulo Silva
dc.date.accessioned2021-12-06T10:39:02Z
dc.date.available2021-12-06T10:39:02Z
dc.date.issued2020-11-23
dc.description.abstractHereditary amyloidosis associated with transthyretin V30M (ATTRv V30M) is a rare and inherited multisystemic disease, with a variable presentation and a challenging diagnosis, follow-up and treatment. This condition entails a definitive and progressive motor impairment that compromises walking ability from near onset. The detection of the latter is key for the disease's diagnosis. The aim of this work is to perform quantitative 3-D gait analysis in ATTRv V30M patients, at different disease stages, and explore the potential of the obtained gait information for supporting early diagnosis and/or stage distinction during follow-up. Sixty-six subjects (25 healthy controls, 14 asymptomatic ATTRv V30M carriers, and 27 symptomatic patients) were included in this case-control study. All subjects were asked to walk back and forth for 2 min, in front of a Kinect v2 camera prepared for body motion tracking. We then used our own software to extract gait-related parameters from the camera's 3-D body data. For each parameter, the main subject groups and symptomatic patient subgroups were statistically compared. Most of the explored gait parameters can potentially be used to distinguish between the considered group pairs. Despite of statistically significant differences being found, most of them were undetected to the naked eye. Our Kinect camera-based system is easy to use in clinical settings and provides quantitative gait information that can be useful for supporting clinical assessment during ATTRv V30M onset detection and follow-up, as well as developing more objective and fine-grained rating scales to further support the clinical decisions.pt_PT
dc.description.sponsorshipThis work was supported by the National funding agency, FCT—Fundação para a Ciência e a Tecnologia, in the context of the projects (UIDB/50014/2020; UIDB/00127/2020) and scholarship (SFRH/DB/110438/2015). This work was also supported by the Porto University Hospital Center (CHUP) in the context of the scholarship (BI.02/2018/UCA/CHP) as part of the research project [2014/167(119-DEFI/149-CES)]pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVilas-Boas MDC, Rocha AP, Cardoso MN, Fernandes JM, Coelho T, Cunha JPS. Clinical 3-D Gait Assessment of Patients With Polyneuropathy Associated With Hereditary Transthyretin Amyloidosis. Front Neurol. 2020;11:605282. doi:10.3389/fneur.2020.605282pt_PT
dc.identifier.doi10.3389/fneur.2020.605282pt_PT
dc.identifier.issn1664-2295
dc.identifier.urihttp://hdl.handle.net/10400.16/2631
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontiers Research Foundationpt_PT
dc.relationSFRH/DB/110438/2015pt_PT
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relationInstitute of Electronics and Informatics Engineering of Aveiro
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fneur.2020.605282/fullpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectATTRv V30Mpt_PT
dc.subjectambulatorypt_PT
dc.subjectamyloidosispt_PT
dc.subjectgaitpt_PT
dc.subjectmarkerless vision-based systemspt_PT
dc.subjectpolyneuropathypt_PT
dc.titleClinical 3-D Gait Assessment of Patients with Polyneuropathy Associated with Hereditary Transthyretin Amyloidosispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardTitleInstitute of Electronics and Informatics Engineering of Aveiro
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00127%2F2020/PT
oaire.citation.conferencePlaceSwitzerlandpt_PT
oaire.citation.startPage605282pt_PT
oaire.citation.titleFrontiers in Neurologypt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVB Olazabal
person.givenNameMCarmo
person.identifierR-00H-2PP
person.identifier.ciencia-id9819-6037-B244
person.identifier.orcid0000-0002-5012-789X
person.identifier.scopus-author-id57191403276
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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