Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients

Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients

The purpose of this study was to develop and verify a convolutional neural network (CNN)-based deep-learning algorithm to identify tumor progression versus response by adding amide proton transfer-weighted (APTw) MRI data to structural MR images as the proposed model input. 145 scans with 2175 MR in...

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Bibliographic Details
Main Authors: Pengfei Guo, Mathias Unberath, Hye-Young Heo, Charles G. Eberhart, Michael Lim, Jaishri O. Blakeley, Shanshan Jiang
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
Amide proton transfer-weighted MRI
Convolutional neural network
Glioma
Treatment effect
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158222001863

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http://www.sciencedirect.com/science/article/pii/S2213158222001863

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