Human performance in predicting enhancement quality of gliomas using gadolinium‐free MRI sequences
The proposed EPDT has high accuracy in predicting enhancement patterns of gliomas irrespective of rater experience.
Authors
- Vera C. Keil (ORCID: https://orcid.org/0000-0001-8699-3506)
- Yeva Prysiazhniuk (ORCID: https://orcid.org/0000-0001-7384-1693)
- Ivar J. H. G. Wamelink (ORCID: https://orcid.org/0000-0002-4658-1395)
- Aynur Azizova (ORCID: https://orcid.org/0000-0002-9354-2612)
- Elif Kaya (ORCID: https://orcid.org/0000-0001-6388-9714)
- Frederik Barkhof (ORCID: https://orcid.org/0000-0003-3543-3706)
- Jan Petr (ORCID: https://orcid.org/0000-0002-3201-6002)
- Marcus Cakmak
Institutions
- Charles University (CZ)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- University Hospital in Motol (CZ)
- Amsterdam Neuroscience (NL)
- Ankara Yıldırım Beyazıt University (TR)
- National Hospital for Neurology and Neurosurgery (GB)
- Amsterdam University Medical Centers (NL)
- Cancer Center Amsterdam (NL)
- University College London (GB)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- Journal of Neuroimaging
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1111/jon.13233
- Citations
- 2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.88
Funders
- National Institute for Health and Care Research
- University College London