Literature DB >> 30598191

A quantitative method for measuring the changes of lung surface wave speed for assessing disease progression of interstitial lung disease.

Xiaoming Zhang1, Boran Zhou2, Brian Bartholmai2, Sanjay Kalra3, Thomas Osborn4.   

Abstract

Lung ultrasound surface wave elastography (LUSWE) is a novel non-invasive technique for measuring superficial lung tissue stiffness. The purpose of the study described here was to develop LUSWE for assessment of progression in patients with interstitial lung disease (ILD). In this study, LUSWE was used to measure changes in lung surface wave speeds at 100, 150 and 200 Hz through six intercostal lung spaces for 52 patients with ILD. The mean age was 63.1 ± 12.0 y (range: 20-85, 23 male and 29 female). The follow-up interval was 9.2 ± 3.5 mo depending on each patient's return appointment and availability. For each patient, disease progression between the baseline and follow-up tests was evaluated clinically using a 7-point Likert scale comprising three grades of improvement (mild, moderate, marked), unchanged status and three grades of worsening (mild, moderate, marked). Clinical assessments were based on changes in pulmonary function tests together with high-resolution computed tomography, echocardiography and clinical evaluations. This study illustrates the correlations between changes in lung surface wave speed and clinical assessments. Correlations of changes in lung surface wave speed at lower lateral and posterior portions of the lung portions with clinical assessments were good. LUSWE provides quantitative global and regional changes in lung surface wave speed that may be useful for quantitative assessment of progression of ILD.
Copyright © 2018 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Disease progression tracking; Interstitial lung disease; Lung; Lung surface wave speed; Lung ultrasound surface wave elastography

Mesh:

Year:  2018        PMID: 30598191      PMCID: PMC6368867          DOI: 10.1016/j.ultrasmedbio.2018.11.003

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  2 in total

Review 1.  State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.

Authors:  Federico Mento; Umair Khan; Francesco Faita; Andrea Smargiassi; Riccardo Inchingolo; Tiziano Perrone; Libertario Demi
Journal:  Ultrasound Med Biol       Date:  2022-09-22       Impact factor: 3.694

2.  A Pilot Study of Wet Lung Using Lung Ultrasound Surface Wave Elastography in an Ex Vivo Swine Lung Model.

Authors:  Xiaoming Zhang; Boran Zhou; Alex X Zhang
Journal:  Appl Sci (Basel)       Date:  2019-09-19       Impact factor: 2.838

  2 in total

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