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These studies suggest brain tumors are classified based on types, grades, molecular diagnostics, histological variants, and genetic changes, with advanced imaging and machine learning models achieving high accuracy in classification.
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Brain tumors are a diverse group of neoplasms that arise within the brain or its surrounding structures. Accurate classification of these tumors is essential for diagnosis, treatment planning, and prognosis. The classification of brain tumors has evolved significantly over the years, incorporating both histological and molecular features to improve diagnostic precision and therapeutic outcomes .
Primary brain tumors originate within the brain itself. They are further categorized based on the type of cells involved and their histological appearance. The most common primary brain tumors include:
Secondary brain tumors, or brain metastases, originate from cancers elsewhere in the body and spread to the brain. These are the most prevalent brain tumors and require a multidisciplinary approach for management, involving neurosurgery, radiation oncology, and medical oncology .
The 2021 World Health Organization (WHO) Classification of Tumors of the Central Nervous System introduced significant changes by integrating molecular diagnostics with traditional histopathology. This approach has led to more precise tumor categorization and better prognostic and therapeutic guidance .
Pediatric brain tumors (PBTs) are the most common solid tumors in children and are broadly classified into glial and neuronal tumors. Factors such as tumor histology, location, and demographics influence their incidence and prognosis. Established risk factors include exposure to ionizing radiation and certain genetic syndromes.
Magnetic resonance imaging (MRI) is a crucial tool in the diagnosis and classification of brain tumors. However, the accuracy of MRI in determining the exact type and grade of tumors can vary. Studies have shown high specificity but variable sensitivity depending on the tumor type and grade .
The classification of brain tumors is a complex and evolving field that combines histological and molecular data to improve diagnostic accuracy and treatment outcomes. Advances in molecular diagnostics, such as the 2021 WHO classification, have significantly enhanced our understanding and management of these diverse neoplasms. Accurate classification is essential for guiding treatment decisions and improving patient prognosis.
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