Multimodality radiomics for tumor prognosis in nasopharyngeal carcinoma.

Sararas KhongwirotphanSornjarod OonsiriSarin KitpanitAnussara PrayongratDanita KannarunimitChakkapong ChakkabatChawalit LertbutsayanukulSira Sriswasdi Yothin Rakvongthai

Published in: PloS one (2024)

The combination of multimodality radiomic features from CT and MR images could offer superior predictive performance for OS, PFS, and DMFS compared to relying on conventional clinical data alone.

Keyphrases

contrast enhanced
magnetic resonance imaging
computed tomography
magnetic resonance
deep learning
electronic health record
image quality
dual energy
convolutional neural network
positron emission tomography
artificial intelligence