Quantifying lung cancer heterogeneity using novel CT features: a cross-institute study.

Zixing WangCuihong YangWei HanXin SuiFuling ZhengFang XueXiaoli XuPeng WuYali ChenWentao GuWei SongJingmei Jiang

Published in: Insights into imaging (2022)

We highlighted the clinical value of radiomic features. Following confirmation, these features may change the way in which we approach CT imaging and improve the individualized care of lung cancer patients.

Keyphrases

computed tomography
image quality
dual energy
contrast enhanced
healthcare
high resolution
palliative care
positron emission tomography
magnetic resonance imaging
quality improvement
pain management
mass spectrometry