Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/1638
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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP-
dc.contributor.authorBORGES, Joao Batista-
dc.contributor.authorSUAREZ-SIPMANN, Fernando-
dc.contributor.authorBOHM, Stephan H.-
dc.contributor.authorTUSMAN, Gerardo-
dc.contributor.authorMELO, Alexandre-
dc.contributor.authorMARIPUU, Enn-
dc.contributor.authorSANDSTROM, Mattias-
dc.contributor.authorPARK, Marcelo-
dc.contributor.authorCOSTA, Eduardo L. V.-
dc.contributor.authorHEDENSTIERNA, Goran-
dc.contributor.authorAMATO, Marcelo-
dc.date.accessioned2013-07-30T17:53:50Z-
dc.date.available2013-07-30T17:53:50Z-
dc.date.issued2012-
dc.identifier.citationJOURNAL OF APPLIED PHYSIOLOGY, v.112, n.1, p.225-236, 2012-
dc.identifier.issn8750-7587-
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/1638-
dc.description.abstractBorges JB, Suarez-Sipmann F, Bohm SH, Tusman G, Melo A, Maripuu E, Sandstrom M, Park M, Costa EL, Hedenstierna G, Amato M. Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse. J Appl Physiol 112: 225-236, 2012. First published September 29, 2011; doi: 10.1152/japplphysiol.01090.2010.-The assessment of the regional match between alveolar ventilation and perfusion in critically ill patients requires simultaneous measurements of both parameters. Ideally, assessment of lung perfusion should be performed in real-time with an imaging technology that provides, through fast acquisition of sequential images, information about the regional dynamics or regional kinetics of an appropriate tracer. We present a novel electrical impedance tomography (EIT)-based method that quantitatively estimates regional lung perfusion based on first-pass kinetics of a bolus of hypertonic saline contrast. Pulmonary blood flow was measured in six piglets during control and unilateral or bilateral lung collapse conditions. The first-pass kinetics method showed good agreement with the estimates obtained by single-photon-emission computerized tomography (SPECT). The mean difference (SPECT minus EIT) between fractional blood flow to lung areas suffering atelectasis was -0.6%, with a SD of 2.9%. This method outperformed the estimates of lung perfusion based on impedance pulsatility. In conclusion, we describe a novel method based on EIT for estimating regional lung perfusion at the bedside. In both healthy and injured lung conditions, the distribution of pulmonary blood flow as assessed by EIT agreed well with the one obtained by SPECT. The method proposed in this study has the potential to contribute to a better understanding of the behavior of regional perfusion under different lung and therapeutic conditions.-
dc.description.sponsorshipFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP Sao Paulo State Research Support Foundation)-
dc.description.sponsorshipCNPq Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (National Council for Scientific and Technological Development)-
dc.description.sponsorshipFinanciadora de Estudos e Projetos (FINEP)-
dc.description.sponsorshipCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Ministry of Education, Brazil-
dc.description.sponsorshipUppsala University-
dc.language.isoeng-
dc.publisherAMER PHYSIOLOGICAL SOC-
dc.relation.ispartofJournal of Applied Physiology-
dc.rightsrestrictedAccess-
dc.subjectfirst-pass kinetics-
dc.subjectpulmonary blood flow distribution-
dc.subject.otherrespiratory-distress-syndrome-
dc.subject.otherend-expiratory pressure-
dc.subject.otherapplied potential tomography-
dc.subject.otherpulmonary blood-flow-
dc.subject.othercomputed-tomography-
dc.subject.otherventilation-
dc.subject.othervolume-
dc.subject.otherrecruitment-
dc.subject.othertime-
dc.subject.otherpet-
dc.titleRegional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse-
dc.typearticle-
dc.rights.holderCopyright AMER PHYSIOLOGICAL SOC-
dc.identifier.doi10.1152/japplphysiol.01090.2010-
dc.identifier.pmid21960654-
dc.subject.wosPhysiology-
dc.subject.wosSport Sciences-
dc.type.categoryoriginal article-
dc.type.versionpublishedVersion-
hcfmusp.author.externalSUAREZ-SIPMANN, Fernando:Uppsala Univ, Dept Surg Sci, Sect Anaesthesiol & Crit Care, S-75185 Uppsala, Sweden; Fdn Jimenez Diaz, Inst Invest Sanit ISS FJD, CIBERES, E-28040 Madrid, Spain-
hcfmusp.author.externalBOHM, Stephan H.:Swisscom AG, Landquart, Switzerland-
hcfmusp.author.externalTUSMAN, Gerardo:Hosp Privado Comunidad Mar Del Plata, Dept Anesthesiol, Mar Del Plata, Buenos Aires, Argentina-
hcfmusp.author.externalMELO, Alexandre:Timpel SA, Res & Dev Dept, Sao Paulo, Brazil-
hcfmusp.author.externalMARIPUU, Enn:Univ Uppsala Hosp, Dept Nucl Med, Uppsala, Sweden-
hcfmusp.author.externalSANDSTROM, Mattias:Univ Uppsala Hosp, Dept Nucl Med, Uppsala, Sweden-
hcfmusp.author.externalHEDENSTIERNA, Goran:Uppsala Univ, Dept Med Sci Clin Physiol, S-75185 Uppsala, Sweden-
hcfmusp.description.beginpage225-
hcfmusp.description.endpage236-
hcfmusp.description.issue1-
hcfmusp.description.volume112-
hcfmusp.origemWOS-
hcfmusp.origem.id2-s2.0-84855409814-
hcfmusp.origem.idWOS:000298403700027-
hcfmusp.publisher.cityBETHESDA-
hcfmusp.publisher.countryUSA-
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dc.description.indexMEDLINE-
hcfmusp.remissive.sponsorshipCAPES-
hcfmusp.remissive.sponsorshipCNPq-
hcfmusp.remissive.sponsorshipFAPESP-
hcfmusp.remissive.sponsorshipFederico Foundation-
hcfmusp.remissive.sponsorshipFINEP-
hcfmusp.lim.ref2012-
hcfmusp.citation.scopus139-
hcfmusp.scopus.lastupdate2024-04-12-
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