간질성 폐질환에서의 영상 분석 최신 기술 동향
Recent Advances in Imaging Analysis for Interstitial Lung Disease
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초록
Interstitial lung disease (ILD) encompasses a heterogeneous group of pulmonary disorders with variable etiologies, clinical courses, and prognoses. Recent advances in imaging analysis, particularly automated quantification and artificial intelligence-based technologies, have significantly enhanced diagnostic precision and prognostic modeling. Quantitative high-resolution computed tomography allows objective assessment of disease extent, pattern classification, and regional distribution of fibrotic lesions, providing essential information for staging and treatment decisions. Deep-learning-based segmentation and pattern recognition techniques can extract high-dimensional imaging features, facilitating phenotype clustering, risk stratification, and longitudinal monitoring. Recent efforts to integrate imaging data with clinical parameters and multi-omics profiles have further advanced the field of precision medicine. This review discusses the current state of imaging analysis technologies for ILD, emphasizing clinical applications, disease-specific use cases, and emerging directions for biomarker discovery and individualized patient care.
Abstract
Interstitial lung disease (ILD) encompasses a heterogeneous group of pulmonary disorders with variable etiologies, clinical courses, and prognoses. Recent advances in imaging analysis, particularly automated quantification and artificial intelligence-based technologies, have significantly enhanced diagnostic precision and prognostic modeling. Quantitative high-resolution computed tomography allows objective assessment of disease extent, pattern classification, and regional distribution of fibrotic lesions, providing essential information for staging and treatment decisions. Deep-learning-based segmentation and pattern recognition techniques can extract high-dimensional imaging features, facilitating phenotype clustering, risk stratification, and longitudinal monitoring. Recent efforts to integrate imaging data with clinical parameters and multi-omics profiles have further advanced the field of precision medicine. This review discusses the current state of imaging analysis technologies for ILD, emphasizing clinical applications, disease-specific use cases, and emerging directions for biomarker discovery and individualized patient care.