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Screening for rheumatoid arthritis-associated interstitial lung disease using low-dose CT: an emerging approach - an observational prospective case-control study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023728%3A_____%2F25%3AN0000065" target="_blank" >RIV/00023728:_____/25:N0000065 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/25:10505233

  • Result on the web

    <a href="https://doi.org/10.1186/s13075-025-03674-w" target="_blank" >https://doi.org/10.1186/s13075-025-03674-w</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13075-025-03674-w" target="_blank" >10.1186/s13075-025-03674-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Screening for rheumatoid arthritis-associated interstitial lung disease using low-dose CT: an emerging approach - an observational prospective case-control study

  • Original language description

    Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) is a major contributor to rheumatoid arthritis (RA) related morbidity and mortality. Early detection is challenging due to subclinical onset and limitations of conventional screening modalities. This study evaluated the diagnostic performance of low-dose photon-counting detector CT (LD PCD-CT) for RA-ILD and assessed its prevalence and risk factors in a Hungarian RA cohort. In this prospective study (Feb 2022–June 2023), 492 consecutively enrolled RA patients without known ILD, underwent LD PCD-CT, digital chest radiography (DR) and pulmonary function testing (PFTs). Imaging was scored using a standardized LD severity scale. Clinical, demographic, and serological data were analyzed to identify ILD predictors. Statistical analyses included Kolmogorov–Smirnov, t-tests, Mann–Whitney U, chi-squared/Fisher’s exact tests, Pearson correlation, and ROC analysis. Logistic regression was used to identify independent risk factors. LD PCD-CT identified interstitial abnormalities in 35% of patients. By contrast, clinical assessment and PFTs detected abnormalities in only 44% and 22% of these cases, respectively. Among patients without CT-defined abnormalities, 42% had a positive clinical assessment and 23% had abnormal PFTs, indicating limited diagnostic specificity. The most frequent findings were interstitial reticular abnormalities (58%) and usual interstitial pneumonia (22%). Independent ILD predictors included age ≥ 50 years, male sex, ≥ 25 pack-year smoking history, rheumatoid factor (RF) positivity, and elevated lactate dehydrogenase (LDH) levels. LD PCD-CT had a mean effective radiation dose of 0.415 mSv, remaining within low-dose diagnostic thresholds.  LD PCD-CT demonstrated superior sensitivity and specificity for early RA-ILD detection compared to clinical assessment and PFTs, while maintaining low radiation exposure. Incorporating LD PCD-CT into risk-stratified screening protocols may facilitate earlier diagnosis and timely therapeutic interventions, ultimately improving patient outcomes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30226 - Rheumatology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ARTHRITIS RESEARCH & THERAPY

  • ISSN

    1478-6354

  • e-ISSN

    1478-6362

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    Art.Nr. 208

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

    1-13

  • UT code for WoS article

    001609745500001

  • EID of the result in the Scopus database

    2-s2.0-105021068352