Evidence map›Paper›PMID 40025176›Full record

ArticlePediatric cardiology2026

Feasibility of Electric Impedance Tomography in the Assessment of Lung Perfusion and Ventilation in Congenital Pulmonary Vein Stenosis.

Jenny E Zablah, Catalina Vargas-Acevedo, Nilton da BarbosaRosa, Omid Rajabi Shishvan, Gary Saulnier, David Isaacson, Gareth J Morgan, Jennifer L Mueller

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Article in Pediatric cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jenny E ZablahDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Boulder, CO, USA. jenny.zablah@childrenscolorado.org.
Catalina Vargas-AcevedoDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Boulder, CO, USA.
Nilton da BarbosaRosaSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO, USA.
Omid Rajabi ShishvanDepartment of Electrical and Computer Engineering, University at Albany, State University of New York (SUNY), Albany, NY, USA.
Gary SaulnierDepartment of Electrical and Computer Engineering, University at Albany, State University of New York (SUNY), Albany, NY, USA.
David IsaacsonDepartment of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA.
Gareth J MorganDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Boulder, CO, USA.
Jennifer L MuellerSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary vein stenosis (PVS) is a complex disease that requires repeated percutaneous interventions. Electrical impedance tomography (EIT) is a functional imaging technique that provides real-time images of pulmonary perfusion and ventilation. We aimed to determine the feasibility of EIT to evaluate ventilation/perfusion in PVS before and after catheter-based interventions. EIT was conducted in patients with PVS using the ACT5 EIT system. Lung regions were segmented from the perfusion images, and time-dependent blood volume curves were computed voxel-wise and by lung region. The distribution of pulmonary blood flow (PBF) was computed from EIT images and compared pre and post intervention. Finally, a blinded interventional cardiologist reviewed the results to evaluate three findings: (1) side and extent of PVS, (2) perfusion, and (3) ventilation. During the study period, twelve patients were included. Of these, seven were female (58.3%) with a median age of 3.5 years. Six patients had history of prematurity, and four had history of previous surgical PVS intervention. Three patients (25%) had an episode of pulmonary hemorrhage during the current intervention. In general, ventilation/perfusion data were successfully obtained in all cases. EIT correctly depicted all 12 cases of PVS correlating with angiography performed on the same day. EIT is a non-invasive, radiation-free technique that estimates lung perfusion/ventilation and percent distribution of PBF. The subject-based evaluation of EIT correlates to the severity and sidedness of the veins involved. This technology has the potential of providing perfusion/ventilation information in-PVS patients without the need of contrast or radiation.

Indexed as

LungPulmonary CirculationPulmonary VeinsPulmonary VentilationStenosis, Pulmonary VeinTomographyChildChild, PreschoolElectric ImpedanceFeasibility StudiesFemaleHumansInfantMaleCongenital heart diseaseElectrical impedance tomographyPerfusionPulmonary Vein stenosisVentilationVolume distribution

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.