ArticleJournal of thoracic imaging2019
Assessment of Interstitial Lung Disease Using Lung Ultrasound Surface Wave Elastography: A Novel Technique With Clinicoradiologic Correlates.
Article in Journal of thoracic imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06844331 (ULtrasOund Applicability in the Assessment of Patients With fibRosing Interstitial Lung Disease), which is not on this map. Cited by 29 papers.
What it found
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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.
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.
ULtrasOund Applicability in the Assessment of Patients With fibRosing Interstitial Lung Disease (LORD): A Research Protocol of a Single Center, Real-life, Prospective Observational Study
Who cites it
29 citing papers in PubMed, 40 citations in OpenAlex.
- Use of lung ultrasound surface wave elastography in patients with interstitial lung disease.BMJ open respiratory research · 2026Article
- Thoracic ultrasound elastography in pleural and subpleural diseases: a narrative review.Journal of ultrasound · 2026Review
- Pulmonary Function Decline in Very Early Diagnosis of Systemic Sclerosis: A Retrospective Longitudinal Single-Center Study.ACR open rheumatology · 2026Article
- Article
- Review
- Increased transient elastography-derived liver stiffness in fibrotic interstitial lung disease compared with healthy controls and its association with high-resolution computed tomography extent: a cross-sectional observational study.Rheumatology international · 2025Observational
- Thoracic Ultrasound in Others Scenarios: An Expanding Tool.Open respiratory archives · 2024Review
- Current evidence for lung ultrasound elastography in the field of pneumology: a systematic review.ERJ open research · 2024Review
- Screening value of lung ultrasound and pleural shear wave elastography in connective tissue disease-related interstitial lung disease: a preliminary study.Clinical rheumatology · 2024Article
- Lung ultrasound in a nutshell. Lines, signs, some applications, and misconceptions from a radiologist's point of view. Part 2.Polish journal of radiology · 2024Review
- Sono-Elastography: An Ultrasound Quantitative Non-Invasive Measurement to Guide Bacterial Pneumonia Diagnosis in Children.Children (Basel, Switzerland) · 2023Review
- Evaluation of connective tissue disease-related interstitial lung disease using ultrasound elastography: a preliminary study.Quantitative imaging in medicine and surgery · 2022Article
- Article
- Stiffness reduction and collagenase resistance of aging lungs measured using scanning acoustic microscopy.PloS one · 2022Article
- Comparison of Corneal Wave Speed and Ocular Rigidity in Normal and Glaucomatous Eyes.Journal of glaucoma · 2021Article
- Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- In vivo assessment of pulmonary fibrosis and edema in rodents using the backscatter coefficient and envelope statistics.The Journal of the Acoustical Society of America · 2021Article
- Lung Ultrasound: Its Findings and New Applications in Neonatology and Pediatric Diseases.Diagnostics (Basel, Switzerland) · 2021Review
- Grading Bleomycin-Induced Pulmonary Fibrosis in ex vivo Mouse Lungs Using Ultrasound Image Analysis.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2021Article
- Lung mass density prediction using machine learning based on ultrasound surface wave elastography and pulmonary function testing.The Journal of the Acoustical Society of America · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
purposeOptimal strategies to detect early interstitial lung disease (ILD) are unknown. ILD is frequently subpleural in distribution and affects lung elasticity. Lung ultrasound surface wave elastography (LUSWE) is a noninvasive method of quantifying superficial lung tissue elastic properties. In LUWSE a handheld device applied at the intercostal space vibrates the chest at a set frequency, and the lung surface wave velocity is measured by an ultrasound probe 5 mm away in the same intercostal space. We explored LUWSE's ability to detect ILD and correlated LUSWE velocity with physiological, quantitative, and visual radiologic features of subjects with known ILD and of healthy controls. MATERIALS AND
methodsSeventy-seven subjects with ILD, mostly caused by connective tissue disease, and 19 healthy controls were recruited. LUSWE was performed on all subjects in 3 intercostal lung regions bilaterally. Comparison of LUSWE velocities pulmonary function testing, visual assessment, and quantitative analysis of recent computed tomographic imaging with Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) software.
resultsSonographic velocities were higher in all lung regions for cases, with the greatest difference in the lateral lower lung. Median velocity in m/s was 5.84 versus 4.11 and 5.96 versus 4.27 (P<0.00001) for cases versus controls, left and right lateral lower lung zones, respectively. LUSWE velocity correlated negatively with vital capacity and positively with radiologist and CALIPER-detected interstitial abnormalities.
conclusionsLUSWE is a safe and noninvasive technique that shows high sensitivity to detect ILD and correlated with clinical, physiological, radiologic, and quantitative assessments of ILD. Prospective study in detecting ILD is indicated.
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Registered trials
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.