COMP-18. MACHINE LEARNING DIFFERENTIATION BETWEEN PLEXIFORM NEUROFIBROMAS AND MALIGNANT NERVE SHEATH TUMORS IN PATIENTS WITH NEUROFIBROMATOSIS TYPE 1 (NF1) BASED ON MRI

摘要

INTRODUCTIONPeripheral neurofibromas (NF) represent one of the most common clinical presentations of the NF1. About 10% of patients with NF1 develop malignant peripheral nerve-sheath tumours (MPNST), which is a major cause of morbidity in NF1 patients. Improved prognosis can be achieved if MPNST are diagnosed at an early stage permitting ablative surgery with wide resection margins. Better understanding regarding the natural history and biology of MPNST has been obtained in the last decade, however existing imaging modalities are still imperfect for diagnosis of MPNST. The aim of this study was to use a machine learning method in order to differentiate between benign plexiform neurofibromas from MPNST in patients with NF1 based on conventional MRI methods.