Evidence map›Paper›PMID 36948896›Full record

ArticleUltrasound in medicine & biology2023

Lung Ultrasound Induction of Pulmonary Capillary Hemorrhage in Rats With Consideration of Exposimetric Relationships to Previous Similar Observations in Neonatal Swine.

Douglas L Miller, Chunyan Dou, Zhihong Dong

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2023. 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
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Douglas L MillerDepartment of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: douglm@umich.edu.
Chunyan DouDepartment of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA.
Zhihong DongDepartment of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA.
University of Michigan · US

Funding

Ultrasound-Induced Pulmonary Hemorrhage During Diagnostic Examination of the LungR01HL116434 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MILLER, DOUGLAS LAWRENCE · 2013 to 2021
$4.2M
NHLBI NIH HHS R01 HL116434
6 · The paper itself

Abstract

objectiveLung ultrasound (LUS) has become an essential clinical tool for pulmonary evaluation. LUS has been found to induce pulmonary capillary hemorrhage (PCH) in animal models, posing a safety issue. The induction of PCH was investigated in rats, and exposimetry parameters were compared with those of a previous neonatal swine study.

methodsFemale rats were anesthetized and scanned in a warmed water bath with the 3Sc, C1-5 and L4-12t probes from a GE Venue R1 point-of-care ultrasound machine. Acoustic outputs (AOs) of sham, 10%, 25%, 50% or 100% were applied for 5-min exposures with the scan plane aligned with an intercostal space. Hydrophone measurements were used to estimate the in situ mechanical index (MI

resultsAt 100% AO, the PCH areas were 73 ± 19 mm

conclusionComparison between this study and previous similar research in neonatal swine revealed the importance of chest wall attenuation. Neonatal patients may be most susceptible to LUS PCH because of thin chest walls.

Indexed as

Lung DiseasesThoracic WallAnimalsDisease Models, AnimalFemaleHemorrhageLungRatsRats, Sprague-DawleySwineUltrasonographyBio-effects of ultrasoundB-linesDiagnostic ultrasound safetyPulmonary ultrasoundUltrasound dosimetry

Identifiers

PMID36948896
PMCPMC10106424
OpenAlexW4353106430

What OpenQuestion holds

Textmetadata
LicenceTDM
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.