Evidence map›Paper›PMID 42374327›Full record

ArticleBMC pulmonary medicine2026

Diagnostic significance of HRCT imaging features in idiopathic inflammatory myopathy-associated interstitial lung disease.

Qian-Yun Zhang, Cai-Yu Li, Chao-Chao Wang, Dong-Dong Zhang, Hong-Yan Shao, Ying Zhang

Abstract read
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Article in BMC pulmonary medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qian-Yun ZhangDepartment of Respiration, The Second Qilu Hospital of Shandong University, No.247, Beiyuan Street, Jinan, Shandong, 250000, China.
Cai-Yu LiDepartment of Respiration, The Second Qilu Hospital of Shandong University, No.247, Beiyuan Street, Jinan, Shandong, 250000, China.
Chao-Chao WangDepartment of Respiration, The Second Qilu Hospital of Shandong University, No.247, Beiyuan Street, Jinan, Shandong, 250000, China.
Dong-Dong ZhangDepartment of Gastroenterology, The Second Qilu Hospital of Shandong University, Jinan, China.
Hong-Yan ShaoDepartment of Respiration, The Second Qilu Hospital of Shandong University, No.247, Beiyuan Street, Jinan, Shandong, 250000, China. hy7763@sohu.com.
Ying ZhangDepartment of Respiration, The Second Qilu Hospital of Shandong University, No.247, Beiyuan Street, Jinan, Shandong, 250000, China. zh_djt@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConnective tissue disease-associated interstitial lung disease (CTD-ILD) is an important factor leading to a poor prognosis in connective tissue disease (CTD) patients. To analyze the clinical and imaging data of CTD-ILD patients, summarize their characteristics, and explore the diagnostic value of certain specific High Resolution Computed Tomography (HRCT) manifestations and their distribution patterns for idiopathic inflammatory myopathy-associated interstitial lung disease (IIM-ILD).

methodsThis study conducted a retrospective analysis of demographic data and HRCT findings from 384 patients with CTD-ILD. Using multivariable logistic regression, hierarchical analysis, and sensitivity analysis to compare data from the IIM-ILD group and other connective tissue disease-associated interstitial lung disease (OCTD-ILD) group, we summarized the imaging features and distribution of IIM-ILD, providing imaging clues for its recognition.

resultsThe distribution of different imaging features differed between the IIM-ILD patients and the OCTD-ILD patients. This study found that nonspecific interstitial pneumonia (NSIP) located in the upper lung field, as well as organized pneumonia (OP) located in the middle and lower lung fields, are relatively significant characteristics that distinguish idiopathic inflammatory myopathies (IIM) from other connective tissue disease (OCTD) (the odds ratios (OR) were 2.51, 5.46, and 8.33, respectively, P < 0.001). If both NSIP in the upper lung field and OP in the lower lung field are present, diagnostic performance in differentiating IIM from OCTD will be further enhanced (sensitivity 55.90%, specificity 94.18%, accuracy 74.74%, OR 20.51, P < 0.001).

conclusionsThis study indicated that for patients with CTD-ILD, specific HRCT manifestations could be used to distinguish IIM-ILD from OCTD-ILD, thereby assisting in clinical diagnosis. The coexistence of NSIP in the upper lung fields and OP in the lower lung fields would suggest a higher possibility of IIM-ILD.

Indexed as

LungLung Diseases, InterstitialMyositisTomography, X-Ray ComputedAdultAgedConnective Tissue DiseasesDiagnosis, DifferentialFemaleHumansLogistic ModelsMaleMiddle AgedOrganizing PneumoniaRetrospective StudiesSensitivity and SpecificityDiagnosisHRCTIdiopathic inflammatory myopathyInterstitial lung diseasePathological type

Identifiers

PMID42374327
PMCPMC13579744

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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 Socratic graph.