Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1.
Inka RistowFrederic MadestaLennart WellFarzad ShenasFelicia WrightIsabel MolwitzSaid C FarschtschiPeter BannasGerhard AdamVictor F MautnerRene WernerJohannes SalamonPublished in: Neuro-oncology (2022)
In this proof-of-principle study, ML using MRI-based radiomics characteristics allows sensitive and specific differentiation of BPNSTs and MPNSTs in NF1 patients. Feature expression of premalignant atypical tumors was distributed in-between benign and malignant tumor feature expressions, which illustrates biological plausibility of the considered radiomics characteristics.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- peripheral nerve
- lymph node metastasis
- end stage renal disease
- machine learning
- poor prognosis
- ejection fraction
- chronic kidney disease
- newly diagnosed
- deep learning
- computed tomography
- signaling pathway
- peritoneal dialysis
- magnetic resonance
- prognostic factors
- squamous cell carcinoma
- lps induced
- diffusion weighted imaging
- patient reported outcomes
- immune response
- long non coding rna
- pi k akt
- nuclear factor
- patient reported