Evidence map›Paper›PMID 36684064›Full record

ArticleBioengineering & translational medicine2023

Sound-guided assessment and localization of pulmonary air leak.

Meghan R Pinezich, Seyed Mohammad Mir, Jonathan A Reimer, Sarah R Kaslow, Jiawen Chen, Brandon A Guenthart, Matthew Bacchetta, John D O'Neill, Gordana Vunjak-Novakovic, Jinho Kim

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2023. 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 33% 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, 4 citations in OpenAlex.

  1. Article
  2. Sound-guided assessment and localization of pulmonary air leak.Bioengineering & translational medicine · 2023
    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

10 authors at 6 institutions in 1 country.

Meghan R PinezichDepartment of Biomedical Engineering Columbia University New York New York USA.
Seyed Mohammad MirDepartment of Biomedical Engineering Stevens Institute of Technology Hoboken New Jersey USA.
Jonathan A ReimerDepartment of Biomedical Engineering Columbia University New York New York USA.
Sarah R KaslowDepartment of Biomedical Engineering Columbia University New York New York USA.
Jiawen ChenDepartment of Biomedical Engineering Stevens Institute of Technology Hoboken New Jersey USA.
Brandon A GuenthartDepartment of Cardiothoracic Surgery Stanford University Stanford California USA.
Matthew BacchettaDepartment of Thoracic Surgery, Vanderbilt University Nashville Tennessee USA.
John D O'NeillDepartment of Cell Biology State University of New York Downstate Medical Center Brooklyn New York USA.
Gordana Vunjak-NovakovicDepartment of Biomedical Engineering Columbia University New York New York USA.
Jinho KimDepartment of Biomedical Engineering Stevens Institute of Technology Hoboken New Jersey USA.ORCID https://orcid.org/0000-0002-4692-4407
Columbia University Irving Medical Center · USStevens Institute of Technology · USColumbia University · USStanford University · USState University of New York · USVanderbilt University · US

Funding

Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
Bioengineering a Chimeric Human LungR01HL120046 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SNOECK, HANS-WILLEM E, VUNJAK-NOVAKOVIC, GORDANA · 2013 to 2022
$6.1M
NHLBI NIH HHS R01 HL120046NIBIB NIH HHS P41 EB027062
6 · The paper itself

Abstract

Pulmonary air leak is the most common complication of lung surgery, with air leaks that persist longer than 5 days representing a major source of post-surgery morbidity. Clinical management of air leaks is challenging due to limited methods to precisely locate and assess leaks. Here, we present a sound-guided methodology that enables rapid quantitative assessment and precise localization of air leaks by analyzing the distinct sounds generated as the air escapes through defective lung tissue. Air leaks often present after lung surgery due to loss of tissue integrity at or near a staple line. Accordingly, we investigated air leak sounds from a focal pleural defect in a rat model and from a staple line failure in a clinically relevant swine model to demonstrate the high sensitivity and translational potential of this approach. In rat and swine models of free-flowing air leak under positive pressure ventilation with intrapleural microphone 1 cm from the lung surface, we identified that: (a) pulmonary air leaks generate sounds that contain distinct harmonic series, (b) acoustic characteristics of air leak sounds can be used to classify leak severity, and (c) precise location of the air leak can be determined with high resolution (within 1 cm) by mapping the sound loudness level across the lung surface. Our findings suggest that sound-guided assessment and localization of pulmonary air leaks could serve as a diagnostic tool to inform air leak detection and treatment strategies during video-assisted thoracoscopic surgery (VATS) or thoracotomy procedures.

Indexed as

digital medicineLung diseaselung volume reduction surgeryminimally‐invasive diagnosissound analysis

Identifiers

PMID36684064
PMCPMC9842055
OpenAlexW4225396366

What OpenQuestion holds

Textmetadata
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.