特发性肺纤维化患者中尼达尼布治疗超级反应者的高分辨率计算机断层扫描成像定量评估

Itano Junko, Ishiga Mitsunori, Fujii Makoto, Takemoto Megumi, Hayashibara Noriko, Kimura Goro, Tanimoto Yasushi

Department of Allergy and Respiratory Medicine, National Hospital Organization Minami-Okayama Medical Center, Japan.

Department of Radiology, National Hospital Organization Minami-Okayama Medical Center, Japan.

Intern Med. 2025;64(10):1552-1562. doi: 10.2169/internalmedicine.4493-24. Epub 2025 May 15.

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.

尼达尼布可抑制特发性肺纤维化（IPF）患者的疾病进展，并显著改善已知为超反应者（SRs）的患者的肺功能。然而，尚无关于定量高分辨率计算机断层扫描（HRCT）的报道，SRs的HRCT成像特征仍不清楚。我们在此报告一例66岁的IPF男性患者，他是尼达尼布治疗的SR，在使用人工智能（AI）软件3D Slicer进行定量HRCT评估时，与其他IPF患者相比显示出显著改善。这项研究值得报道，因为使用AI进行定量HRCT评估可能对于了解SR特征是必要的。