Fully automated MR-based virtual biopsy of primary CNS lymphomas.
Vicky ParmarJohannes HauboldLuca SalhöferMathias MeetschenKarsten WredeMartin GlasMaja GuberinaTobias BlauDenise BosAnisa KureishiRené HoschFelix NensaMichael ForstingCornelius DeuschlLale UmutluPublished in: Neuro-oncology advances (2024)
This study serves as a pilot investigation presenting an automated virtual biopsy workflow that distinguishes PCNSLs from cerebral gliomas. Prior to clinical use, it is necessary to validate the results in a prospective multicenter setting with a larger number of PCNSL patients.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- ultrasound guided
- chronic kidney disease
- high grade
- machine learning
- magnetic resonance
- peritoneal dialysis
- deep learning
- prognostic factors
- subarachnoid hemorrhage
- high throughput
- blood brain barrier
- patient reported outcomes
- cross sectional
- study protocol
- electronic health record
- double blind