Evidence map›Paper›PMID 41580474›Full record

Observational studyScientific reports2026

Lung ultrasound B-line quantification in CTD-ILD: a cross-sectional single-center observational study.

Mengru Du, Jie Wang, Peng Lai, Jun Liang, Qingxia Li, Zhibin Jin, Xue Xu, Lingyun Sun

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 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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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mengru DuDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Jie WangDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Peng LaiDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Jun LiangDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Qingxia LiDepartment of Ultrasound Department of Health Management Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. 13851652695@163.com.
Zhibin JinDepartment of Ultrasound Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. jin.jzb@njglyy.com.
Xue XuDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. iamxuxue@163.com.
Lingyun SunDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.

Funding

Jiangsu Province Six Talent Peaks Project 2016-WSN-148Jiangsu Provincial Medical Youth Talent QNRC2016005National Natural Science Foundation of China 81871283Research Project of Jiangsu Province Health Committee H2019060the Clinical Research Special Foundation of Nanjing Drum Tower Hospital 2024-LCYJ-PY-04
6 · The paper itself

Abstract

To evaluate the diagnostic and clinical relevance of quantitative lung ultrasound (LUS) score in patients with connective tissue disease-associated interstitial lung disease (CTD-ILD), and to determine its correlation with high-resolution computed tomography (HRCT) severity, pulmonary function, and laboratory parameters. The cross-sectional, single-center observational study enrolled patients with connective tissue diseases who had confirmed interstitial lung disease and underwent both HRCT and LUS within 7 days of evaluation. Lung ultrasound was performed using a 12-zone scanning protocol, and B-lines were quantified to derive a semi-quantitative LUS-B score representing subpleural interstitial involvement. ILD severity categories were defined based on HRCT Warrick scores as mild (0–7), moderate (8–15), and severe (> 15). Pulmonary function tests and laboratory parameters, including inflammatory and immune-related markers, were collected. Correlations between LUS-B score, HRCT severity, pulmonary function, and laboratory variables were analyzed, and multinomial logistic regression was used to evaluate the association between LUS-B score and ILD severity categories. Diagnostic performance was assessed using ROC analysis. 117 patients with CTD-ILD (mean age 57 ± 12 years; 74% female) were enrolled. The cohort included patients with Sjögren’s syndrome (SS) (n = 32), systemic sclerosis (SSc) (n = 18), rheumatoid arthritis (RA) (n = 16), idiopathic inflammatory myopathy (IIM)/anti-synthetase syndrome (ASS) (n = 27), as well as other CTDs (n = 24), including systemic lupus erythematosus (n = 6), ANCA-associated vasculitis (n = 5), and undifferentiated connective tissue disease (n = 13). LUS scores showed a negative correlation with force expiratory volume in one second (FEV1) (rs =  − 0.214, P = 0.03) and a positive correlation with HRCT Warrick scores (rs = 0.304, P = 0.001). An exploratory cut-off value of 7 for the LUS score was determined using the Youden index. Group comparisons based on this threshold showed patients with higher LUS scores showed greater HRCT severity (Z =  − 2.503, P = 0.012), lower FEV1 (Z =  − 3.128, P = 0.002) and FVC (Z =  − 2.335, P = 0.020) ratios, and higher CD4⁺ T cell levels (Z =  − 2.144, P = 0.032). Subgroup analysis demonstrated that the correlation between LUS and HRCT score was strongest in Sjögren’s-syndrome-associated ILD (rs = 0.417, P = 0.018), whereas other CTD subtypes showed weaker or nonsignificant associations. In multivariable logistic regression, parameters entered a priori (age, sex, LUS score, DLco, hemoglobin, and baseline pulmonary disease) identified LUS (OR = 0.87, P = 0.016) and DLco (OR = 1.12, P < 0.001) as independent correlates of ILD severity. ROC analysis based on HRCT-defined severity demonstrated that the LUS score had moderate discriminatory ability for severe ILD (AUC = 0.642, sensitivity = 86%, specificity = 42%); however, combining LUS with DLco significantly improved severity stratification. Quantitative LUS score provides a reproducible, non-invasive assessment of ILD burden and correlates moderately with HRCT severity and pulmonary function impairment in CTD-ILD. LUS demonstrated its greatest value in identifying severe ILD, particularly in Sjögren’s syndrome, whereas its ability to distinguish intermediate severity was limited. When combined with DLco, its stratification performance improved. Thus, LUS serves as a complementary bedside tool to HRCT for evaluating disease burden and risk in CTD-ILD.

Indexed as

Connective Tissue DiseasesLungLung Diseases, InterstitialAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRespiratory Function TestsROC CurveSeverity of Illness IndexTomography, X-Ray ComputedUltrasonographyConnective tissue diseaseHigh-resolution computed tomographyInterstitial lung diseaseLung ultrasoundPulmonary function tests

Identifiers

PMID41580474
PMCPMC12902112

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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.