Evidence map›Paper›PMID 35041149›Full record

ReviewMolecular imaging and biology2022

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19.

Dnyanesh N Tipre, Michal Cidon, Rex A Moats

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular imaging and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Dnyanesh N TipreTranslational Biomedical Imaging Laboratory, Department of Radiology, Children's Hospital Los Angeles, The Saban Research Institute, 4650 Sunset Blvd Rm 305, Los Angeles, CA, USA. dnyanesht@live.com.
Michal CidonDepartment of Rheumatology, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Rex A MoatsTranslational Biomedical Imaging Laboratory, Department of Radiology, Children's Hospital Los Angeles, The Saban Research Institute, 4650 Sunset Blvd Rm 305, Los Angeles, CA, USA.
Children's Hospital of Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 hypoxemic patients although sharing a same etiology (SARS-CoV-2 infection) present themselves quite differently from one another. Patients also respond differently to prescribed medicine and to prone Vs supine bed positions. A severe pulmonary ventilation-perfusion mismatch usually triggers moderate to severe COVID-19 cases. Imaging can aid the physician in assessing severity of COVID-19. Although useful for their portability X-ray and ultrasound serving on the frontline to evaluate lung parenchymal abnormalities are unable to provide information about pulmonary vasculature and blood flow redistribution which is a consequence of hypoxemia in COVID-19. Advanced imaging modalities such as computed tomography, single-photon emission tomography, and electrical impedance tomography use a sharp algorithm visualizing pulmonary ventilation-perfusion mismatch in the abnormal and in the apparently normal parenchyma. Imaging helps to access the severity of infection, lung performance, ventilation-perfusion mismatch, and informs strategies for medical treatment. This review summarizes the capacity of these imaging modalities to assess ventilation-perfusion mismatch in COVID-19. Despite having limitations, these modalities provide vital information on blood volume distribution, pulmonary embolism, pulmonary vasculature and are useful to assess severity of lung disease and effectiveness of treatment in COVID-19 patients.

Indexed as

COVID-19Pulmonary EmbolismHumansLungPerfusionSARS-CoV-2Tomography, Emission-Computed, Single-PhotonCOVID-19CT angiographyElectrical impedance tomographyHRCTSPECT-CT

Identifiers

PMID35041149
PMCPMC8764889
OpenAlexW4205869787

What OpenQuestion holds

Textmetadata
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.