Quantitative Assessment of High-resolution Computer Tomography Imaging in a Super-responder to Nintedanib Therapy in a Patient with Idiopathic Pulmonary Fibrosis

Nintedanib inhibits disease progression in patients with idiopathic pulmonary fibrosis (IPF) and dramatically improves the lung function in patients known to be super-responders (SRs). However, there are no reports on quantitative high-resolution computed tomography (HRCT), and the HRCT imaging characteristics of SRs remain unknown. We herein present the case of a 66-year-old man with IPF who was a SR to nintedanib treatment, which showed a marked improvement compared to other patients with IPF upon quantitative HRCT evaluation using the artificial intelligence (AI) software 3D Slicer. This study is worth reporting because a quantitative HRCT assessment using AI may be necessary to understand the SR characteristics.