1. Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100059, China丨
2. Institute of Advanced Research, Beijing Infervision Technology Co. Ltd, Beijing 100025, China
Abstract：To explore the optimal single-energy images for AI pulmonary nodule screening system to achieve the best nodules
detection rate. In addition, the precision of AI system in detecting pulmonary nodules at different positions in the energy spectrum
CT images was studied. AI system was utilized to screen pulmonary nodules on different single-energy images of 30 chest energy
spectrum CT sequences. The detected nodules and their locations were compared with the “gold standard”, the number of true
positive nodules, false positive nodules, and false negative nodules detected in different single-energy images by AI system were
counted and recorded as well. AI system displayed the highest sensitivity for nodule detection on 70 keV single-energy images. In
each images of different single-energy, no statistical difference was found in sensitivity of AI system in detecting pulmonary nodules
at four different locations (P>0.05), including intrapulmonary, extrapulmonary, para-bronchovascular, and subpleural nodules. In
terms of pulmonary nodules at different locations, the detection sensitivity was significantly higher for 70 and above keV singleenergy
images comparing with the low keV images. 70 keV single energy image is the optimal choice for AI pulmonary nodule
screening system to obtain higher detection sensitivity. Positions of nodules exhibited no significant effect on AI systems in detecting
nodules efficiently in each of the single-energy images.
江桂莲1，陈疆红1，胡志海1，钟朝辉1，王大为2. AI肺结节筛查系统结合能谱CT单能图像用于不同位置肺结节检测的效能研究[J]. 中国医疗设备, 2021, 36(5): 103-107.
JIANG Guilian1，CHEN Jianghong1，HU Zhihai1，ZHONG Zhaohui1，WANG Dawei2. Study on the Efficacy of AI Pulmonary Nodule Screening System Combined with Energy
Spectrum CT Single-Energy Images for Nodules at Different Locations. China Medical Devices, 2021, 36(5): 103-107.
