Evidence map›Paper›PMID 42306741›Full record

ReviewJournal of thoracic disease2026

Thoracic electrical impedance tomography from technological promise to clinical reality: the Chinese experience.

Zhanqi Zhao

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Zhanqi ZhaoState Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Department of Critical Care Medicine, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1279-2207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic electrical impedance tomography (EIT) has emerged as a powerful, non-invasive, and radiation-free tool for real-time bedside monitoring of regional lung ventilation and perfusion. Its unique ability to visualize spatial and temporal heterogeneity has established clinical value across intensive care, perioperative management, and chronic respiratory disease settings. Despite decades of recognized potential, the global translation of EIT from laboratory research to routine clinical practice has faced significant challenges, including high device costs, lack of standardization and guidelines, workflow integration challenges, and insufficient evidence linking its use to clinical outcomes. China's experience over the past decade presents a compelling and instructive case of rapid adoption that contrasts sharply with the slower global pace. Unlike prior descriptive reviews that catalogued milestones achieved, this article provided an analytical framework that examined how and why this accelerated translation occurred in China. It first evaluated the specific clinical value driving adoption across diverse scenarios. It then identified the distinctive ecosystem that enabled this rapid translation. Several factors worked synergistically: rapid clinical validation was achieved through China's vast hospital network. Domestic industry innovation drove down device costs and improved portability. Chinese researchers provided proactive leadership in building national and international standards. Most importantly, strategic government support-including reimbursement policies-removed economic barriers to adoption. Transferable lessons from this model were discussed for overcoming implementation barriers and accelerating the adoption of innovative medical technologies globally.

Indexed as

critical careElectric impedance tomographylungthoraxventilation

Identifiers

PMID42306741
PMCPMC13266757

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.