Evidence map›Paper›PMID 38050780›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2024

Development of an Automated Ultrasound Signal Indicator of Lung Interstitial Syndrome.

Tatiana D Khokhlova, Gilles P Thomas, Jane Hall, Kyle Steinbock, Jeff Thiel, Bryan W Cunitz, Michael R Bailey, Layla Anderson, Ross Kessler, M Kennedy Hall and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

11 authors at 2 institutions in 1 country.

Tatiana D KhokhlovaDepartment of Medicine, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-1711-0404
Gilles P ThomasCenter for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA.
Jane HallDepartment of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Kyle SteinbockDepartment of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Jeff ThielCenter for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA.
Bryan W CunitzCenter for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA.
Michael R BaileyCenter for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA.
Layla AndersonDepartment of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Ross KesslerDepartment of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
M Kennedy HallDepartment of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Adeyinka A AdedipeDepartment of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
University of Washington · USUniversity of Washington Medical Center · US

Funding

Pulsed Focused Ultrasound (pFUS) exposures and devices for tissue permeabilization without contrast agentsR01EB023910 · NIBIB · UNIVERSITY OF WASHINGTON · PI KHOKHLOVA, TATIANA · 2017 to 2021
$2.3M
NIBIB NIH HHS R01 EB023910NIBIB NIH HHS R01EB023910
6 · The paper itself

Abstract

objectivesThe number and distribution of lung ultrasound (LUS) imaging artifacts termed B-lines correlate with the presence of acute lung disease such as infection, acute respiratory distress syndrome (ARDS), and pulmonary edema. Detection and interpretation of B-lines require dedicated training and is machine and operator-dependent. The goal of this study was to identify radio frequency (RF) signal features associated with B-lines in a cohort of patients with cardiogenic pulmonary edema. A quantitative signal indicator could then be used in a single-element, non-imaging, wearable, automated lung ultrasound sensor (LUSS) for continuous hands-free monitoring of lung fluid.

methodsIn this prospective study a 10-zone LUS exam was performed in 16 participants, including 12 patients admitted with acute cardiogenic pulmonary edema (mean age 60 ± 12 years) and 4 healthy controls (mean age 44 ± 21). Overall,160 individual LUS video clips were recorded. The LUS exams were performed with a phased array probe driven by an open-platform ultrasound system with simultaneous RF signal collection. RF data were analyzed offline for candidate B-line indicators based on signal amplitude, temporal variability, and frequency spectrum; blinded independent review of LUS images for the presence or absence of B-lines served as ground truth. Predictive performance of the signal indicators was determined with receiving operator characteristic (ROC) analysis with k-fold cross-validation.

resultsTwo RF signal features-temporal variability of signal amplitude at large depths and at the pleural line-were strongly associated with B-line presence. The sensitivity and specificity of a combinatorial indicator were 93.2 and 58.5%, respectively, with cross-validated area under the ROC curve (AUC) of 0.91 (95% CI = 0.80-0.94).

conclusionA combinatorial signal indicator for use with single-element non-imaging LUSS was developed to facilitate continuous monitoring of lung fluid in patients with respiratory illness.

Indexed as

Pulmonary EdemaRespiratory Distress SyndromeAdultAgedHumansLungMiddle AgedProspective StudiesSensitivity and SpecificityUltrasonographyYoung AdultB-linecardiogenic pulmonary edemalung ultrasoundpoint-of-care ultrasound

Identifiers

PMID38050780
PMCPMC10922254
OpenAlexW4389346242

What OpenQuestion holds

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Registered trials

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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.