Evidence map›Paper›PMID 36450830›Full record

ArticleScientific reports2022

Affordable, portable and self-administrable electrical impedance tomography enables global and regional lung function assessment.

Fedi Zouari, Wei Yi Oon, Dipyaman Modak, Wing Hang Lee, Wang Chun Kwok, Peng Cao, Wei-Ning Lee, Terence Chi Chun Tam, Eddie C Wong, Russell W Chan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Assessing pulmonary function in ALS using electrical impedance tomography.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2024
    Article
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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

10 authors at 3 institutions in 2 countries.

Fedi ZouariGense Technologies Ltd., Hong Kong, China.ORCID 0000-0002-0186-3540
Wei Yi OonGense Technologies Ltd., Hong Kong, China.ORCID 0000-0002-5478-5929
Dipyaman ModakGense Technologies Ltd., Hong Kong, China.ORCID 0000-0001-6383-967X
Wing Hang LeeGense Technologies Ltd., Hong Kong, China.
Wang Chun KwokDepartment of Medicine, Queen Mary Hospital, Hong Kong, China.ORCID 0000-0002-5611-1637
Peng CaoDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-1116-1171
Wei-Ning LeeDepartment of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-8799-2492
Terence Chi Chun TamDepartment of Medicine, Queen Mary Hospital, Hong Kong, China.ORCID 0000-0002-6057-8168
Eddie C WongGense Technologies Ltd., Hong Kong, China.ORCID 0000-0002-9025-8667
Russell W ChanGense Technologies Ltd., Hong Kong, China. russell@gense.tech.ORCID 0000-0002-7680-9231
University of Hong Kong · HKQueen Mary Hospital · CNM-Gen Mobile Technology (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accessibility of diagnostic screening and treatment monitoring devices for respiratory diseases is critical in promoting healthcare and reducing sudden complications and mortality. Spirometry is the standard for diagnosing and monitoring several lung diseases. However, it lacks regional assessment capabilities necessary for detecting subtle regional changes in certain diseases. It also requires challenging breathing maneuvers difficult for elderlies, children, and diseased patients. Here, we actualized an affordable, portable, and self-administrable electrical impedance tomography (EIT) system for home-based lung function assessment and telemedicine. Through simultaneous EIT-spirometry trials on healthy subjects, we demonstrated that our device can predict spirometry indicators over a wide range and can provide regional mapping of these indicators. We further developed a close-to-effortless breathing paradigm and tested it by longitudinally monitoring a COVID-19 discharged subject and two healthy controls with results suggesting the paradigm can detect initial deterioration followed by recovery. Overall, the EIT system can be widely applicable for lung function screening and monitoring both at homes and clinics.

Indexed as

COVID-19ChildElectric ImpedanceHumansLungRespirationTomography, X-Ray Computed

Identifiers

PMID36450830
PMCPMC9712422
OpenAlexW4310639034

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.