Imaging Signature of Progressive Pulmonary Fibrosis in Idiopathic Pulmonary Fibrosis and Non-IPF Interstitial Lung Diseases
This study is a prospective observational study for subjects with idiopathic pulmonary fibrosis (IPF) or non-IPF interstitial lung diseases (ILD). The purpose of this study is to compare whether imaging patterns from high-resolution computed tomography (HRCT) at baseline can predict worsening. Single Time point Prediction (STP) is a score derived from an artificial intelligenc/ machine learning (AI/ML) using the radiomic features from a HRCT scan that quantifies the imaging patterns of short-term predictive worsening.
• Established a diagnosis (within 5 years) of IPF by enrolling center as defined by ATS/ERS/JRS/ALAT criteria
• Age over or equal to 40 years old
• No history of lung transplant
• FVC % predicted \>= 45%
• DLCO % predicted \>=25%
• Women of childbearing potential (WOCBP) must be ready and able to use highly effective methods of birth control. WOCBP taking oral contraceptives (OCs) also have to use one barrier method.
• Established a diagnosis (within 5 years) of non-IPF ILD by enrolling center.
• Age over or equal to 18 years old
• Presence of chronic fibrosis ILD defined as architectural distortions with reticulation and the presence of traction bronchiectasis estimating visually \>5% in whole lung.
• Patients treated with immunosuppressive agents (other than corticosteroids) for an underlying systemic disease need to be on a stable treatment for at least 12 weeks prior to screening
• FVC % predicted \>= 45%
• DLCO % predicted \>=25%
• Women of childbearing potential (WOCBP) must be ready and able to use highly effective methods of birth control. WOCBP taking oral contraceptives (OCs) also have to use one barrier method