Cargando…
Influence of Baseline CT Body Composition Parameters on Survival in Patients with Pancreatic Adenocarcinoma
Pancreatic cancer is the seventh leading cause of cancer death in both sexes. The aim of this study is to analyze baseline CT body composition using artificial intelligence to identify possible imaging predictors of survival. We retrospectively included 103 patients. First, the presence of surgical...
Autores principales: | Beetz, Nick Lasse, Geisel, Dominik, Maier, Christoph, Auer, Timo Alexander, Shnayien, Seyd, Malinka, Thomas, Neumann, Christopher Claudius Maximilian, Pelzer, Uwe, Fehrenbach, Uli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105849/ https://www.ncbi.nlm.nih.gov/pubmed/35566483 http://dx.doi.org/10.3390/jcm11092356 |
Ejemplares similares
-
Artificial intelligence‐based analysis of body composition in Marfan: skeletal muscle density and psoas muscle index predict aortic enlargement
por: Beetz, Nick Lasse, et al.
Publicado: (2021) -
Effects of Artificial Intelligence-Derived Body Composition on Kidney Graft and Patient Survival in the Eurotransplant Senior Program
por: Beetz, Nick Lasse, et al.
Publicado: (2022) -
Postoperative single-sequence (PoSSe) MRI: imaging work-up for CT-guided or endoscopic drainage indication of collections after hepatopancreaticobiliary surgery
por: Fehrenbach, Uli, et al.
Publicado: (2021) -
CT Body Composition of Sarcopenia and Sarcopenic Obesity: Predictors of Postoperative Complications and Survival in Patients with Locally Advanced Esophageal Adenocarcinoma
por: Fehrenbach, Uli, et al.
Publicado: (2021) -
Discrepancy of echocardiography and computed tomography in initial assessment and 2-year follow-up for monitoring Marfan syndrome and related disorders
por: Beetz, Nick Lasse, et al.
Publicado: (2022)