Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis

The fully automated BCA provides biomarkers with a predictive value for the overall survival in patients with IPF.

Authors

Luca Salhöfer (ORCID: https://orcid.org/0000-0002-5376-3154)
Marcel Opitz (ORCID: https://orcid.org/0000-0001-7455-8590)
Benedikt M. Schaarschmidt (ORCID: https://orcid.org/0000-0001-6331-7679)
Jens Kleesiek (ORCID: https://orcid.org/0000-0001-8686-0682)
René Hosch (ORCID: https://orcid.org/0000-0003-1760-2342)
Johannes Haubold (ORCID: https://orcid.org/0000-0003-4843-5911)
Francesco Bonella (ORCID: https://orcid.org/0000-0001-7579-9767)
Lale Umutlu (ORCID: https://orcid.org/0000-0001-5215-7171)
Sven Koitka
Vicky Parmar (ORCID: https://orcid.org/0000-0002-0383-0435)
Michael Forsting (ORCID: https://orcid.org/0000-0002-5584-9824)
Mathias Meetschen (ORCID: https://orcid.org/0000-0002-0719-2207)
Felix Nensa (ORCID: https://orcid.org/0000-0002-5811-7100)