Research Article: Using machine learning-based radiomics to differentiate between glioma and solitary brain metastasis from lung cancer and its subtypes
Abstract:
To establish a machine learning-based radiomics model to differentiate between glioma and solitary brain metastasis from lung cancer and its subtypes, thereby achieving accurate preoperative classification.
Introduction:
There is an increasing incidence of intracranial tumors with poor prognosis, especially in patients above 65 years of age. Gliomas approximately account for 30% of central nervous system (CNS) neoplasms, and 81% of CNS malignancies [1], wherein, the most common one is glioblastoma, with a five-year survival rate of 5% [2]. Brain metastasis is the most common type of tumor; common primary tumors include lung cancer, breast cancer, melanoma, and gastroenteric tumor, wherein, brain metastasis from lung cancer…
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