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Newly Recognized CNS Tumors in the 2021 World Health Organization Classification: Imaging Overview with
R K Rigsby1, P Brahmbhatt1, A B Desai1
1From the Department of Radiology (R.K.R., P.B., A.B.D., V.G., P.V., A.K.A.), Mayo Clinic, Jacksonville, Florida.
AJNR. American Journal of Neuroradiology
|March 30, 2023
Summary
The 2021 World Health Organization CNS tumor classification adds 22 new types. This review highlights their imaging, histology, and genetic features for better diagnosis and treatment.
Area of Science:
- Neuropathology
- Neuroradiology
- Oncology
Background:
- The World Health Organization (WHO) updated its classification of central nervous system (CNS) tumors in 2021.
- This revision incorporates advances in understanding tumor genetics, pathogenesis, and therapeutic targets.
- Genetic alterations are increasingly crucial for CNS tumor classification, prognosis, and treatment.
Purpose of the Study:
- To review the 22 newly recognized CNS tumor entities introduced in the 2021 WHO classification.
- To correlate the imaging appearance of these new entities with their histologic and genetic characteristics.
- To provide a resource for clinicians and researchers on these emerging tumor types.
Main Methods:
- Review of the 2021 WHO classification of CNS tumors.
- Compilation of imaging findings for the 22 newly described entities.
- Correlation of imaging features with available histopathologic and molecular genetic data.
Main Results:
- Detailed description of the imaging phenotypes of 22 newly classified CNS tumors.
- Emphasis on key distinguishing features, including location, enhancement patterns, and associated findings.
- Integration of genetic information (e.g., mutations, fusions) with imaging and histology.
Conclusions:
- The 2021 WHO classification significantly expands the spectrum of recognized CNS tumors.
- Understanding the integrated clinicopathologic and genetic features, including imaging, is essential for accurate diagnosis.
- Radiologists and pathologists must be familiar with these new entities for optimal patient management.

