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Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning

Medicine and Health

Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning

J. Lee, N. Wang, et al.

This groundbreaking study reveals a new approach to distinguish between pseudoprogression and true tumor progression in diffuse infiltrating gliomas using a CNN-LSTM deep learning model and multiparametric MRI data. Conducted by leading experts at the University of Michigan, these findings pave the way for improved diagnostic performance and timely treatment decisions.

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