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  4. The association of symptoms, pulmonary function test and computed tomography in interstitial lung disease at the onset of connective tissue disease: an observational study with artificial intelligence analysis of high-resolution computed tomography
 
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2025
Journal Article
Title

The association of symptoms, pulmonary function test and computed tomography in interstitial lung disease at the onset of connective tissue disease: an observational study with artificial intelligence analysis of high-resolution computed tomography

Abstract
Interstitial lung disease (ILD) is a common and serious organ manifestation in patients with connective tissue disease (CTD), but it is uncertain whether there is a difference in ILD between symptomatic and asymptomatic patients. Therefore, we conducted a study to evaluate differences in the extent of ILD based on radiological findings between symptomatic/asymptomatic patients, using an artificial intelligence (AI)-based quantification of pulmonary high-resolution computed tomography (AIpqHRCT). Within the study, 67 cross-sectional HRCT datasets and clinical data (including pulmonary function test) of consecutively patients (mean age: 57.1 ± 14.7 years, woman n = 45; 67.2%) with both, initial diagnosis of CTD, with systemic sclerosis being the most frequent (n = 21, 31.3%), and ILD (all without immunosuppressive therapy), were analysed using AIqpHRCT. 25.4% (n = 17) of the patients with ILD at initial diagnosis of CTD had no pulmonary symptoms. Regarding the baseline characteristics (age, gender, disease), there were no significant difference between the symptomatic and asymptomatic group. The pulmonary function test (PFT) revealed the following mean values (%predicted) in the symptomatic and asymptomatic group, respectively: Forced vital capacity (FVC) 69.4 ± 17.4% versus 86.1 ± 15.8% (p = 0.001), and diffusing capacity of the lung for carbon monoxide (DLCO) 49.7 ± 17.9% versus 60.0 ± 15.8% (p = 0.043). AIqpHRCT data showed a significant higher amount of high attenuated volume (HAV) (14.8 ± 11.0% versus 8.9 ± 3.9%; p = 0.021) and reticulations (5.4 ± 8.7% versus 1.4 ± 1.5%; p = 0.035) in symptomatic patients. A quarter of patients with ILD at the time of initial CTD diagnosis had no pulmonary symptoms, showing DLCO were reduced in both groups. Also, AIqpHRCT demonstrated clinically relevant ILD in asymptomatic patients. These results underline the importance of an early risk adapted screening for ILD also in asymptomatic CTD patients, as ILD is associated with increased mortality.
Author(s)
Hoffmann, Tobias
Universitätsklinikum Jena und Medizinische Fakultät
Teichgräber, Ulf Karl Martin
Universitätsklinikum Jena und Medizinische Fakultät
Brüheim, Luis Benedict
Universitätsklinikum Jena und Medizinische Fakultät
Lassen-Schmidt, Bianca
Fraunhofer-Institut für Digitale Medizin MEVIS  
Renz, Diane Miriam
Hannover Medical School
Weise, Tobias
BioControl Jena GmbH
Krämer, Martin
Universitätsklinikum Jena und Medizinische Fakultät
Oelzner, Peter
Universitätsklinikum Jena und Medizinische Fakultät
Böttcher, Joachim
Universitätsklinikum Jena und Medizinische Fakultät
Güttler, Felix Victor
Universitätsklinikum Jena und Medizinische Fakultät
Wolf, Gunter B.
Universitätsklinikum Jena und Medizinische Fakultät
Pfeil, Alexander
Universitätsklinikum Jena und Medizinische Fakultät
Journal
Rheumatology international  
Open Access
File(s)
Download (1.68 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1007/s00296-025-05934-z
10.24406/publica-5335
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Keyword(s)
  • AI-based quantification of pulmonary HRCT

  • Artificial intelligence

  • Connective tissue diseases

  • HRCT

  • Inflammatory rheumatic diseases

  • Interstitial

  • Interstitial lung disease

  • Lung diseases

  • Pulmonary symptoms

  • Quantification

  • Rheumatic diseases

  • Tomography

  • X-ray computed

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