Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas.
Nurhuda Hendra SetyawanLina ChoridahHanung Adi NugrohoRusdy Ghazali MaluekaEry Kus DwianingsihPublished in: Cancer imaging : the official publication of the International Cancer Imaging Society (2024)
The T1/FLAIR ratio, enhancement quality, hemorrhage, and proportion enhancing predict glioma grade with excellent accuracy. The proportion enhancing, thickness of enhancing margin, and T1/FLAIR ratio are significant predictors for IDH mutation status. Lastly, MGMT methylation is related to the longest diameter of the lesion, edema crossing the midline, and the proportion of the non-enhancing lesion. VASARI MRI features offer non-invasive and accurate predictive models for glioma grade, IDH mutation, and MGMT methylation status, enhancing glioma patient management.