Bibliographic Details
| Title: |
CT-based body composition analysis and pulmonary fat attenuation volume as biomarkers to predict overall survival in patients with non-specific interstitial pneumonia |
| Authors: |
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, Johannes Haubold |
| Source: |
European Radiology Experimental, Vol 8, Iss 1, Pp 1-12 (2024) |
| Publisher Information: |
SpringerOpen, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Medical physics. Medical radiology. Nuclear medicine |
| Subject Terms: |
Body composition, Deep learning, Lung diseases (interstitial), Survival analysis, Tomography (x-ray computed), Medical physics. Medical radiology. Nuclear medicine, R895-920 |
| More Details: |
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 ( |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2509-9280 |
| Relation: |
https://doaj.org/toc/2509-9280 |
| DOI: |
10.1186/s41747-024-00519-0 |
| Access URL: |
https://doaj.org/article/50e3828c328f4589b682b0bd4af98ddb |
| Accession Number: |
edsdoj.50e3828c328f4589b682b0bd4af98ddb |
| Database: |
Directory of Open Access Journals |
