Evidence map›Paper›PMID 42163364›Full record

ArticleCritical care (London, England)2026

Accuracy of electrical impedance tomography to detect perfusion defects in pulmonary embolism.

Eduardo Augusto Pinto Rodrigues, Eder Chaves Pacheco, Maria Aparecida Miyuki Nakamura, Ana Carolina Cardoso Dos Santos, Jade Lara de Melo, Glauco M Plens, Glasiele Cristina Alcala, Marcus Victor, Yi Xin, Maurizio Cereda and 14 more

Abstract read
In one paragraph

Article in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Eduardo Augusto Pinto RodriguesLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Eder Chaves PachecoLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Maria Aparecida Miyuki NakamuraLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Ana Carolina Cardoso Dos SantosLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Jade Lara de MeloLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Glauco M PlensLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Glasiele Cristina AlcalaLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Marcus VictorLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Yi XinDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Maurizio CeredaDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Susimeire GomesLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Hye Ju LeeDepartment of Radiology, Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
Bruno M RibeiroLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Rafael M IanottiHeart Institute (InCor), Hospital das Clinicas, Faculdade de Medicina da Universidade de Sao Paulo, SP, Sao Paulo, Brazil.
Orival Freitas-FilhoCardio-Pulmonary Department, Cardiovascular and Thoracic Surgery Division, Heart Institute (InCor), Hospital das Clinicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
Jose Leonidas Alves-JrDivisao de Pneumologia, Faculdade de Medicina, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
Lorenzo BerraDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Caio C A MoraisLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Larissa BertacchiniLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Mikuláš MlčekInstitute of Physiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
Rogerio SouzaDivisao de Pneumologia, Faculdade de Medicina, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
João Batista BorgesInstitute of Physiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic. joaobatistaborges8@gmail.com.
Eduardo L V CostaLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP.
Marcelo B P AmatoLaboratorio de Pneumologia LIM‑09, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil, SP. marcelo.amato@fm.usp.br.

Funding

Financiadora de Estudos e Projetos PERF-EIT 1733/22Grantová Agentura České Republiky GA ČR 22-34020S
6 · The paper itself

Abstract

backgroundTimely detection of pulmonary embolism (PE) is crucial, particularly in critical settings where rapid confirmation or exclusion is required and computerized tomography pulmonary angiography (CTPA) poses safety challenges. We assessed the experimental and clinical accuracy of electrical impedance tomography (EIT)-ventilation-perfusion (V̇/Q̇) maps and a novel wasted-ventilation index for detecting PE.

methodsTen piglets underwent EIT-V̇/Q̇ mapping before and after proximal or distal pulmonary artery occlusions. EIT-perfusion maps were validated against dynamic contrast-enhanced CT (DCE-CT) and quantitative clot-burden analysis from whole-lung CTPA. To assess specificity, models of non-occlusive perfusion impairment were added (6 piglets). The wasted-ventilation index was refined across 114 piglet conditions (66 PE) and subsequently validated in 66 patients with acute respiratory failure (257 exams) and 10 patients with chronic thromboembolic disease (31 exams), totaling 288 EIT-exams.

resultsStrong positive correlations between estimates of regional perfusion obtained by EIT vs. DCE-CT or CTPA were found. Agreement showed mean bias of - 3.04 ± 3.02% between EIT and DCE-CT, and + 3.45 ± 2.81% between EIT and CTPA. The wasted-ventilation index performed with AUC = 0.989 in animals (P < 0.0001; sensitivity 96%, specificity 94%) and AUC = 0.923 in patients (P < 0.001; sensitivity 81%, specificity 94%). The index consistently decreased after thrombolysis.

conclusionsThe novel wasted-ventilation index showed high accuracy in detecting pulmonary arterial occlusions of varying severity, distinguishing them from other perfusion problems. Its agreement with CTPA, DCE-CT, and reference methods supports EIT-V̇/Q̇ mapping as a reliable diagnostic aid when conventional imaging is unfeasible or risky.

Indexed as

Electric ImpedancePulmonary EmbolismTomographyAnimalsFemaleHumansSwineBedside monitoringCritical careElectrical impedance tomographyPulmonary embolismPulmonary perfusionVentilation–perfusion mismatch

Identifiers

PMID42163364
PMCPMC13224680

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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.