4.5 Article

Performance of Lung Ultrasound for Monitoring Interstitial Lung Disease

Journal

JOURNAL OF ULTRASOUND IN MEDICINE
Volume 41, Issue 5, Pages 1077-1084

Publisher

WILEY
DOI: 10.1002/jum.15790

Keywords

disease monitoring; high-resolution tomography; X-ray computed; HRCT; interstitial lung disease; ultrasound

Ask authors/readers for more resources

This study evaluated the validity of lung ultrasound (LUS) in monitoring patients with interstitial lung diseases (ILDs). The results demonstrated a significant correlation between LUS scores and HRCT scores, as well as pulmonary function tests. DLCO was identified as an independent predictor of LUS scores at the 1-year follow-up. These findings suggest the potential applicability of LUS in monitoring a wide spectrum of ILDs.
Objectives In this study, we sought to assess the validity of lung ultrasound (LUS) during the follow-up of patients with a wide spectrum of interstitial lung diseases (ILDs). Methods Twenty-four patients (13 males, 11 females; mean age +/- SD, 65.4 +/- 14.3 years; age range, 40-84 years) with a diagnosis of ILDs who were admitted to the Interstitial Lung Disease Unit were prospectively enrolled. Patients were examined with a 56-lung intercostal space LUS protocol in lateral decubitus position, at baseline, 6-months, and 1-year. The LUS score was defined as the sum of B-lines counted in each intercostal space. All patients underwent complete pulmonary function tests at baseline and follow-up time-points. High-resolution computed tomography (HRCT) was performed at baseline and during follow-up, according to personalized patients' needs. All HRCT studies were graded according to the Warrick scoring system (WS). Results Pooled data analysis showed a significant correlation between WS and LUS scores (P < .001). For separate time-point analysis, a significant correlation between LUS scores and WS was found at baseline (P < .001) and 1 year (P = .005). LUS scores negatively correlated with alveolar volume (VA) (P < .046) and diffusing capacity for carbon monoxide (DLCO) (P < .001) at 6 months and with transfer coefficient of the lung for carbon monoxide (KCO) (P < .031) and DLCO (P = .002) at 12-months. A multivariate regression model showed DLCO to be an independent predictor of LUS score at 1 year (P = .026). Conclusions Our results highlight the validity and potential applicability of LUS for disease monitoring in a wide spectrum of ILDs.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available