Predicting Resection and Outcomes for Insular Gliomas
Author Information
Author(s): Francesco Guerrini, Viola Marta Custodi, Antonio Giuri, Maria Claudia Caporrimo, Paola Bini, Ilaria Imarisio, Sara Colombo, Elisabetta Bonzano, Paolo Pedrazzoli, Enrico Marchioni, Luisa Chiapparini, Giannantonio Spena
Primary Institution: Fondazione IRCCS Policlinico San Matteo
Hypothesis
The Berger–Sanai and Kawaguchi classification systems may perform differently in evaluating surgical outcomes for insular gliomas.
Conclusion
The Berger–Sanai classification is a more reliable predictor of gross total resection compared to the Kawaguchi system, although both are linked to postoperative outcomes.
Supporting Evidence
- Both the Berger–Sanai and Kawaguchi classifications influenced the extent of resection.
- The Berger–Sanai classification showed a moderate-to-strong correlation with expected resection rates.
- Lower Kawaguchi grades were associated with significant postoperative MRI hyperintensities.
- Postoperative clinical outcomes were related to both classification systems but lost correlation at 6 months.
Takeaway
This study looked at two ways to classify brain tumors called insular gliomas to see which one helps doctors predict how much of the tumor can be safely removed and how patients will do after surgery.
Methodology
A retrospective analysis of patients treated for insular gliomas, comparing the Berger–Sanai and Kawaguchi classification systems in terms of extent of resection and clinical outcomes.
Potential Biases
Potential selection and data biases due to the retrospective nature of the study.
Limitations
The study has a small sample size and is retrospective, which may introduce biases.
Participant Demographics
Mean age of participants was 48.2 years, with a male/female ratio of 2.31.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website