Evidence map›Paper›PMID 41486260›Full record

Trial reportCritical care (London, England)2026

Lung perfusion estimation by saline-contrast EIT without breath hold: a randomized cross-over trial.

Yelin Gao, Qiuyan Cai, Siyi Yuan, Mengru Xu, Songlin Wu, Andy Adler, Yun Long, Zhanqi Zhao, Huaiwu He

Abstract readRandomized Controlled Trial
In one paragraph

Trial report 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yelin GaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Qiuyan CaiDepartment of Critical Care Medicine, Hainan Western Central Hospital, Danzhou, Hainan, China.
Siyi YuanState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Mengru XuState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Songlin WuDepartment of Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Andy AdlerSystems and Computer Engineering, Carleton University, Ottawa, Canada.
Yun LongState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Zhanqi ZhaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Huaiwu HeState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China. tjmuhhw@126.com.

Funding

National High-Level Hospital Clinical Research Funding 2022-PUMCH-D-005National Key Research and Development Program of China 2022YFC2404805National Natural Science Foundation of China 82272249Peking Union Medical College Hospital Talent Cultivation Program Category C UBJ10125
6 · The paper itself

Abstract

introductionThis study aimed to develop and validate a non-breath-holding contrast-enhanced electrical impedance tomography (EIT) method using low-pass filtering for bedside assessment of regional lung perfusion in mechanically ventilated ICU patients.

methodsThis was a randomized cross-over trial. Each patient received two 10 mL 10% NaCl bolus injections via a central venous catheter, performed respectively during an end-expiratory pause (apnea) and during ongoing mechanical ventilation (non-apnea). In the non-apnea method, a 0.17 Hz low-pass filter was used to remove respiratory interference during perfusion analysis. Pixel-wise correlation was assessed using Spearman correlation analysis.

results20 mechanically ventilated ICU patients were included in the final analysis. Pixel-wise perfusion correlation between apnea and non-apnea methods showed good overall consistency (median r = 0.94, IQR 0.90-0.97). Global V/Q match%, dead space%, and shunt% were comparable between the two methods. The impedance drop duration was significantly shorter in the non-apnea method (5.3 s vs. 6.1 s, p = 0.008).

conclusionThe non-apnea contrast-EIT method provides consistent lung perfusion images with the conventional apnea method, expanding EIT applicability to patients intolerant to apnea and potentially yielding more physiologically realistic results.

Indexed as

Breath HoldingElectric ImpedanceLungSaline SolutionTomographyAgedContrast MediaCross-Over StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedRespiration, ArtificialContrast MediaSaline SolutionElectrical impedance tomographyLung perfusionNon-apneaV/Q match

Identifiers

PMID41486260
PMCPMC12869906

What OpenQuestion holds

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Registered trials

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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.