Prediction of IDH mutation status of glioma based on terahertz spectral data

Gliomas are the most common type of primary tumor in the central nervous system in adults. Isocitrate dehy-drogenase (IDH) mutation status is an important molecular biomarker for adult diffuse gliomas. In this study, we were aiming to predict IDH mutation status based on terahertz time-domain spectroscopy technology. Ninety -two frozen sections of glioma tissue from nine patients were included, and terahertz spectroscopy data were obtained. Through Least Absolute Shrinkage and Selection Operator (LASSO), Principal component analysis (PCA), and Random forest (RF) algorithms, a predictive model for predicting IDH mutation status in gliomas was established based on the terahertz spectroscopy dataset with an AUC of 0.844. These results indicate that gliomas with different IDH mutation status have different terahertz spectral features, and the use of terahertz spectros-copy can establish a predictive model of IDH mutation status, providing a new way for glioma research.

Automated summary

This study established a predictive model for IDH mutation status in gliomas based on terahertz spectroscopy data. The results showed that gliomas with different IDH mutation status have distinct terahertz spectral features, indicating the potential of terahertz spectroscopy as a new approach for predicting IDH mutation status in gliomas.