Quantitative Analysis of Interstitial Lung Disease via AI-Enhanced Chest CT in Patients with Idiopathic Inflammatory Myopathies: Correlation with Expert Visual Evaluation in 107 Cases - Scorecard - MDSpire

Quantitative Analysis of Interstitial Lung Disease via AI-Enhanced Chest CT in Patients with Idiopathic Inflammatory Myopathies: Correlation with Expert Visual Evaluation in 107 Cases

  • By

  • Youlia Kuzmanovic

  • Amira Benattia

  • Amandine Laporte

  • Kubéraka Mariampillai

  • Yves Allenbach

  • Yurdagül Uzunhan

  • Pierre-Yves Brillet

  • Phillipe A. Grenier

  • Victoria Donciu

  • Nicoletta Pasi

  • Olivier Benveniste

  • Alban Redheuil

  • Samia Boussouar

  • February 26, 2026

  • 0 min

Share

Clinical Scorecard: Quantitative Analysis of Interstitial Lung Disease via AI-Enhanced Chest CT in Patients with Idiopathic Inflammatory Myopathies: Correlation with Expert Visual Evaluation in 107 Cases

At a Glance

CategoryDetail
ConditionInterstitial Lung Disease (ILD) in Idiopathic Inflammatory Myopathies (IIMs)
Key MechanismsAI-enhanced chest CT for objective assessment of ILD lesions
Target PopulationPatients with confirmed idiopathic inflammatory myopathy and ILD
Care SettingNational reference center for neuromuscular diseases

Key Highlights

  • Up to 40% of IIM patients develop ILD, impacting prognosis significantly.
  • High-resolution CT (HRCT) is crucial for ILD detection and characterization.
  • AI algorithms provide objective assessment, reducing inter-observer variability.
  • Distinctive ILD patterns in IIM may challenge AI tool performance.
  • Study compares AI-based analysis with expert visual evaluation.

Guideline-Based Recommendations

Diagnosis

  • Confirm diagnosis of IIM according to 2017 ACR/EULAR criteria.
  • Utilize HRCT for identifying ILD-related lesions.

Management

  • Consider initiation or escalation of immunosuppressive or antifibrotic therapy based on HRCT findings.

Monitoring & Follow-up

  • Regular HRCT assessments to monitor ILD progression and treatment response.

Risks

  • Potential for inter- and intra-observer variability in visual HRCT assessment.

Patient & Prescribing Data

Patients with IIM and ILD, enrolled in a national registry.

AI-derived metrics may serve as imaging biomarkers for disease severity and outcomes.

Clinical Best Practices

  • Use AI-enhanced HRCT for more accurate quantification of ILD.
  • Ensure HRCT assessments are performed during clinically stable periods.

References

Original Source(s)

Related Content