Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study

Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study

Summary: Background: Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue contrast during MRI scans and play a crucial role in the management of patients with cancer. However, studies have shown gadolinium deposition in the brain after repeated GBCA administration with yet unk...

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Autores principales: Chandrakanth Jayachandran Preetha, MSc, Hagen Meredig, MD, Gianluca Brugnara, MD, Mustafa A Mahmutoglu, MD, Martha Foltyn, MD, Fabian Isensee, PhD, Tobias Kessler, MD, Irada Pflüger, MD, Marianne Schell, MD, Ulf Neuberger, MD, Jens Petersen, PhD, Antje Wick, MD, Sabine Heiland, ProfPhD, Jürgen Debus, ProfMD, Michael Platten, ProfMD, Ahmed Idbaih, MD, Alba A Brandes, ProfMD, Frank Winkler, ProfMD, Martin J van den Bent, ProfMD, Burt Nabors, ProfMD, Roger Stupp, ProfMD, Klaus H Maier-Hein, ProfPhD, Thierry Gorlia, PhD, Jörg-Christian Tonn, ProfMD, Michael Weller, ProfMD, Wolfgang Wick, ProfMD, Martin Bendszus, ProfMD, Philipp Vollmuth, MD
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Computer applications to medicine. Medical informatics
R858-859.7
Acceso en línea:https://doaj.org/article/1d0604c10cd74d3aaeb41f01be7c60b0
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