Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules.

Long JiangYang ZhouWang MiaoHongda ZhuNingyuan ZouYu TianHanbo PanWeiqiu JinJia HuangQingquan Luo

Published in: Annals of medicine (2024)

Quantitative CT measures and nodule type correlated with invasiveness. Software-based CT assessment shows potential for noninvasive prediction to guide extent of resection. Further prospective validation is needed, including comparison with benign nodules.

Keyphrases

artificial intelligence
image quality
dual energy
computed tomography
contrast enhanced
machine learning
big data
deep learning
high resolution
positron emission tomography
magnetic resonance imaging
risk assessment
human health
mass spectrometry
climate change
rare case