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Oligodendroglioma. A comparison of two grading systems
J M Kros1, D Troost, C G van Eden
1Netherlands Institute for Brain Research, Amsterdam.
Cancer
|June 1, 1988
Summary
The Smith grading system for oligodendrogliomas offers a simpler, concise alternative to the Kernohan system. Both systems effectively stratify patient survival, with Smith's Grade A and Kernohan's Grade 1 showing the longest survival.
Area of Science:
- Neuro-oncology
- Pathology
- Cancer Grading Systems
Background:
- Oligodendrogliomas require accurate grading for prognosis.
- Existing grading systems, like Kernohan's (1938), may lack simplicity.
- M.T. Smith's proposed grading system (1983) aimed for improved conciseness.
Purpose of the Study:
- To compare the prognostic accuracy of Smith's oligodendroglioma grading system with Kernohan's conventional system.
- To evaluate the correlation between tumor grade and patient survival using both systems.
Main Methods:
- Grading of 72 oligodendroglioma patient specimens using both Smith's and Kernohan's systems.
- Comparison of patient survival times based on the assigned grades from each system.
- Analysis of factors like patient age, tumor localization, cell density, pleomorphism, and necrosis.
Main Results:
- Survival rates decreased with increasing patient age, but age did not interact with tumor grade.
- Tumor localization did not significantly influence survival.
- Both Smith's and Kernohan's systems identified three distinct survival groups.
- Smith's Grade A and Kernohan's Grade 1 correlated with the longest survival.
- Smith's Grade D and Kernohan's Grade 4 correlated with the shortest survival.
- Intermediate grades (Smith B/C, Kernohan 2/3) showed similar, non-significantly different survival times.
Conclusions:
- Smith's grading system, by simplifying to three grades and utilizing key features like cell density, pleomorphism, and necrosis, provides a concise and effective method for grading oligodendrogliomas.
- The Smith system demonstrates comparable prognostic value to the Kernohan system, offering a potentially more practical approach for clinical use.