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

Authors :
Zhang, Xiaoming
Zhou, Boran
Bartholmai, Brian
Kalra, Sanjay
Osborn, Thomas
Source :
Ultrasound in Medicine & Biology. Mar2019, Vol. 45 Issue 3, p741-748. 8p.
Publication Year :
2019

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03015629
Volume :
45
Issue :
3
Database :
Academic Search Index
Journal :
Ultrasound in Medicine & Biology
Publication Type :
Academic Journal
Accession number :
134532317
Full Text :
https://doi.org/10.1016/j.ultrasmedbio.2018.11.003