1. CT-based body composition analysis and pulmonary fat attenuation volume as biomarkers to predict overall survival in patients with non-specific interstitial pneumonia
- Author
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Luca Salhöfer, Francesco Bonella, Mathias Meetschen, Lale Umutlu, Michael Forsting, Benedikt M. Schaarschmidt, Marcel Opitz, Nikolas Beck, Sebastian Zensen, René Hosch, Vicky Parmar, Felix Nensa, and Johannes Haubold
- Subjects
Body composition ,Deep learning ,Lung diseases (interstitial) ,Survival analysis ,Tomography (x-ray computed) ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Background Non-specific interstitial pneumonia (NSIP) is an interstitial lung disease that can result in end-stage fibrosis. We investigated the influence of body composition and pulmonary fat attenuation volume (CTpfav) on overall survival (OS) in NSIP patients. Methods In this retrospective single-center study, 71 NSIP patients with a median age of 65 years (interquartile range 21.5), 39 females (55%), who had a computed tomography from August 2009 to February 2018, were included, of whom 38 (54%) died during follow-up. Body composition analysis was performed using an open-source nnU-Net-based framework. Features were combined into: Sarcopenia (muscle/bone); Fat (total adipose tissue/bone); Myosteatosis (inter-/intra-muscular adipose tissue/total adipose tissue); Mediastinal (mediastinal adipose tissue/bone); and Pulmonary fat index (CTpfav/lung volume). Kaplan–Meier analysis with a log-rank test and multivariate Cox regression were used for survival analyses. Results Patients with a higher (> median) Sarcopenia and lower (
- Published
- 2024
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