Meeting
2023 ASCO Annual Meeting
A combinatorial model of plasma proteins and LDCT imaging and the diagnosis of pulmonary nodules.
Authors
Meng Yang
Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
Meng Yang , Huan-Sha Yu , Kai-Ge Wang , Chao-Yang Liang , Jiang-Hui Duan , Hong-Liang Sun , Hong-Xiang Feng , Bei Wang , Bing Tong , Jue Wang , Ye Wang , Yong-Zhao Zhou , Xin Lu , Hong-Xia Yang , Dong-Xia Li , Wei Li , Qi-Ye He , Yun-Zhi Zhang , Rui Liu , Jian Zhou
Disclaimer
This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org
Poster Details
Session Type
Poster Session
Session Title
Lung Cancer—Non-Small Cell Local-Regional/Small Cell/Other Thoracic Cancers
Track
Lung Cancer
Sub Track
Local-Regional Non–Small Cell Lung Cancer
Citation
J Clin Oncol 41, 2023 (suppl 16; abstr 8568)
DOI
10.1200/JCO.2023.41.16_suppl.8568
Abstract #
8568
Poster Bd #
195
Abstract Disclosures
Similar Posters
Poster
2024 ASCO Annual Meeting
Improving lung cancer health equity by applying deep learning to low dose CT screening of minority and disadvantaged patients.
First Author: Abdul Zakkar
Poster
2023 ASCO Quality Care Symposium
Early detection of lung cancer through programmatic management of pulmonary nodules in the Mississippi Delta.
First Author: Matthew Smeltzer
Poster
2023 ASCO Annual Meeting
The probability of lung cancer in patients with incidentally detected pulmonary nodules detected via low-dose computed tomography screening in China.
First Author: Guo Lan-Wei
Poster
2023 ASCO Annual Meeting
A machine learning–based multidimensional model integrating clinical, radiomics, and cell-free DNA methylation biomarkers for the classification of pulmonary nodules.
First Author: Wenhua Liang