GlioPredictor: A Deep Learning Model for Identification of High-Risk Low-Grade Glioma toward Adjuvant Treatment Planning

S. Zheng, N. Rammohan, T. T. Peng, S. Sachdev, Y. Wu, K. John, T. O. Thomas

International journal of radiation oncology, biology, physics（2023）

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摘要

We have developed an ANN model that is capable of learning the prognostic features of LGG associated with an IDH1-mutated LGG cohort and using the features to predict high-risk patients from the IDH1-wildtype cohort. This ANN model facilitates the selection of LGG patients who could benefit from immediate adjuvant radiotherapy. Future work includes the integration of image features to improve the prediction performance of the GlioPredictor system.

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关键词

adjuvant treatment planning,deep learning model,adjuvant treatment,high-risk,low-grade

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