Evidence map›Paper›PMID 39865298›Full record

ArticleJournal of clinical ultrasound : JCU2025

Ultrasound-Based Local Lung Motion Assessment Using Synthetic Lateral Phase.

Christopher M Fung, Jonathan M Rubin, Jing Gao, James D Hamilton

Abstract read
In one paragraph

Article in Journal of clinical ultrasound : JCU, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Christopher M FungDepartment of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-3585-1385
Jonathan M RubinDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Jing GaoDepartment of Clinical Sciences, Rocky Vista University, Billings, Montana, USA.ORCID https://orcid.org/0000-0001-5993-042X
James D HamiltonJD Hamilton Consulting, Brighton, Michigan, USA.

Funding

K12: Career Development in Emergency Critical Care ResearchK12HL133304 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEUMAR, ROBERT W., PINSKY, DAVID J. · 2016 to 2020
$2.2M
Mindray North AmericaNHLBI NIH HHS 1K12HL133304NHLBI NIH HHS K12 HL133304
6 · The paper itself

Abstract

backgroundUltrasound lung surface motion measurement is valuable for the evaluation of a variety of diseases. Speckle tracking or Doppler-based techniques are limited by the loss of visualization as a tracked point moves under ribs or is dependent.

methodsWe developed a synthetic lateral phase-based algorithm for tracking lung motion to overcome these limitations. To validate the technique, we generated simulated lung motion images. We also obtained lung ultrasound cines from a healthy volunteer and a mechanically ventilated COVID-19 patient. In the healthy volunteer, the respiratory pattern varied between breath-hold, regular, and rapid shallow breathing.

resultsThe measured displacement was within 3% of the ground truth for simulated cines. In both the healthy volunteer and COVID-19 patients, measured displacement was greatest in the lower and lateral zones of the lung when the ipsilateral side was compared. In the healthy volunteer, when the respiratory pattern was varied, measured displacement was greater in regular breathing compared to rapid shallow breathing and compared to breath-hold patterns in both the upper and lower lung zones.

conclusionEstimation of lung surface displacement using a synthetic lateral phase-based approach is feasible. Future human studies should validate this approach against a direct measurement of lung surface movement.

Indexed as

COVID-19LungAdultAlgorithmsFemaleHealthy VolunteersHumansMaleMovementRespirationSARS-CoV-2Ultrasonography

Identifiers

PMID39865298
PMCPMC12087715

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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.