Evidence map›Paper›PMID 41988327›Full record

ArticleJournal of thoracic disease2026

Diaphragm assessment by multimodal ultrasound imaging in patients with interstitial lung disease: a prospective observational study.

Yan Chen, Dazhi Zhou, Xiaolin Tan, Junhong Lin, Xufeng Lin, Shitao Lin, Si Jiang, Guoying Li

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yan Chen *Department of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0009-0002-8464-6644
Dazhi Zhou *Department of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaolin Tan *Department of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Junhong LinDepartment of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xufeng LinDepartment of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Shitao LinDepartment of Ultrasound, Hengqin Hospital of the First Affiliated Hospital of Guangzhou Medical University, Zhuhai, China.
Si JiangDepartment of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Guoying LiDepartment of Ultrasound, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The dyspnea experienced by patients with interstitial lung disease (ILD) is partly attributable to diaphragmatic dysfunction. This study aims to quantitatively evaluate diaphragmatic function in ILD patients by measuring different diaphragm ultrasound parameters, seeking to gain a more comprehensive understanding of diaphragmatic characteristics in this population. Methods: Forty-four ILD patients and 31 healthy controls were prospectively enrolled and underwent diaphragmatic ultrasound. Parameters measured included diaphragmatic thickness, excursion, and tissue Doppler imaging (TDI)-derived acceleration and velocity. Intra-operator reliability of ultrasound measurements was validated using intraclass correlation coefficient (ICC) and Bland-Altman analysis, and multivariate regression analysis was performed to adjust for confounding factors. Correlations between ultrasound parameters and clinical/pulmonary function indices were analyzed. Results: Compared with controls, ILD patients had greater diaphragmatic thickness during quiet breathing (QB) (end-expiration 0.21 Conclusions: Multimodal ultrasound allows for the evaluation of diaphragmatic function in patients with ILD. ILD patients exhibit diaphragmatic structural and functional abnormalities (thickening, reduced contractility/excursion, increased activation) that correlate with clinical indicators of disease severity. As a non-invasive tool, diaphragmatic ultrasound parameters may provide a reference for assessing respiratory function-related outcomes in ILD patients, though direct evidence linking these parameters to respiratory function is lacking. Given the moderate sample size and cross-sectional design of this study, the clinical utility of these ultrasound parameters requires validation in larger, prospective cohorts.

Indexed as

diaphragminterstitial lung disease (ILD)tissue Doppler imaging (TDI)Ultrasound

Identifiers

PMID41988327
PMCPMC13077247

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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.