Development and External Validation of a Nomogram for Predicting the Survival Outcomes of Patients with Ki-67 Positive Grade 4 Diffuse Gliomas.

AIM: To establish a nomogram model of Ki-67-positive grade 4 diffuse gliomas that can predict the survival rate of patients and has certain guiding values that are useful in treatment. MATERIAL and

METHODS

Data from 146 patients with Ki-67-positive grade 4 diffuse gliomas was retrospectively obtained and analyzed using the R software. Statistically significant indicators were identified via Cox regression analysis and used to establish the nomogram. The nomogram was corrected using the C-index, area under the curve (AUC), calibration curve, and decision curve analyses (DCA). Finally, the model was externally validated using the Chinese Glioma Genome Atlas database.

RESULTS

Age, treatment, and IDH status were significant. The models had a C-index of 0.743, and the time-dependent receiver operating characteristic curve had an AUC of 0.832 at 3 months and 0.829 at 6 months, indicating good discriminatory ability. Finally, a nomogram was constructed and validated using the validation and DCA curves.

CONCLUSION

Age, treatment, and IDH were independent prognostic factors in patients with Ki-67-positive grade 4 diffuse gliomas. The constructed model can accurately assess the disease-specific survival rates of these patients and help inform treatment options.