Electrical Impedance Tomography Accurately Reflects Regional Ventilation Distribution Compared With Computed Tomography in Non-Intubated Subjects.
Background: Electrical impedance tomography (EIT) is a validated tool for monitoring patients receiving mechanical ventilation. The performance of EIT in quantifying regional ventilation in non-intubated subjects remains unknown. We aimed to compare the agreement of EIT regional ventilation distribu...
| Publicado en: | Respiratory Care Vol. 71; no. 8; pp. 811 - 819 |
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| Autores principales: | , , , , , , , , , , , , , , , , , |
| Formato: | CEU diagnostic images research tables/charts Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195834027&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195834027 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00201324 4GG jtl: Respiratory Care issn: 00201324 maglogo: N pubinfo: dt: Aug2026 vid: 71 iid: 8 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 195834027 195834027 195834027 10.1177/19433654261425212 195834027 ppf: 811 ppct: 8 formats: tig: atl: Electrical Impedance Tomography Accurately Reflects Regional Ventilation Distribution Compared With Computed Tomography in Non-Intubated Subjects. aug: au: Morais, Caio C.A. Rattes, Catarina Rocha, Taciano Hirota, Adriana S. Souza, Renata P. Souza, Rodrigo V.C. Andrade, Erika A.M. Kajiyama, Carolina E. Olegário, Tayran M.M. Guzman, Ana I.A. de Alencar, Nadja R.G. Brandão, Daniella C. Aliverti, Andrea Cornejo, Rodrigo Costa, Eduardo L.V. Amato, Marcelo B.P. Campos, Shirley L. Dornelas de Andrade, Armèle affil: Mr. Morais, Ms. Rattes, Ms. Souza, Mr. Souza, Ms. Andrade, Profs. Brandão, Campos, and Dornelas de Andrade are affiliated with Department of Physiotherapy, Federal University of Pernambuco, Recife, Brazil. sug: subj: Lung Radiography Respiration Physiology Tomography, X-Ray Computed Methods Electric Impedance Education, Continuing (Credit) Funding Source Male Female Adult Middle Age Validation Studies Descriptive Statistics Data Analysis Software Linear Regression Monitoring, Physiologic Lung Anatomy and Histology Ventilators, Mechanical Diagnostic Imaging Reproducibility of Results Respiratory Mechanics Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background: Electrical impedance tomography (EIT) is a validated tool for monitoring patients receiving mechanical ventilation. The performance of EIT in quantifying regional ventilation in non-intubated subjects remains unknown. We aimed to compare the agreement of EIT regional ventilation distribution with computed tomography (CT) scans in spontaneously breathing subjects. In addition, we assessed the influence of patient-related factors on measurement error and the reproducibility of EIT ventilation quantification. Methods: Healthy adults under spontaneous breathing underwent simultaneous EIT measurements and whole-lung CT scans. Changes in thoracic impedance by EIT and air content by CT during end-expiratory and end-inspiratory pauses were compared using standard anterior–posterior and right–left regions of interest (ROI). The intra- and inter-evaluators reproducibility of ventilation distribution was assessed using 2 trained evaluators. Results: EIT and CT images were collected from 32 subjects. The best combination of bias and limits of agreement for regional ventilation distribution was achieved with a CT lung length of 15 cm. At this lung length, we found a bias of 0.80% with limits of agreement ranging from −9.26% to 10.87% in the posterior ROI and a bias of −1.33% with limits of agreement from −9.15% to 6.47% in the right ROI. Biological sex, body mass index, fat percentage, or thoracic and abdominal circumferences did not affect EIT–CT measurement differences. The maximum intra- and inter-examiner bias was below 1.5%, with limits of agreement lower than 10% for both antero-posterior and right–left lung regions. Conclusions: EIT was a valid and reliable instrument for assessing ventilation distribution in non-intubated subjects during spontaneous breathing. pubtype: Academic Journal doctype: CEU diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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