The diagnostic efficacy of seven autoantibodies in early detection of ground-glass nodular lung adenocarcinoma
Our research assessed the diagnostic performance of seven autoantibodies in patients with ground-glass nodules for benign-malignant distinction, and the nodules are all no more than 3cm especially. Our study set cut-off values for seven autoantibodies in identifying GGNs no more than 3cm and constructed a machine learning model for effective diagnosis. This provides a non-invasive and highly discriminative method for the evaluation of ground-glass nodules in high-risk patients.
Authors
- Chunsun Li
- Liangan Chen (ORCID: https://orcid.org/0000-0002-1829-3134)
- Miaoyu Wang
- Zhen Yang (ORCID: https://orcid.org/0000-0003-0670-4538)
- Yuanhui Wei (ORCID: https://orcid.org/0000-0001-8929-9560)
- Shangshu Liu
- Zhen Wu (ORCID: https://orcid.org/0000-0002-8243-3613)
- Hua Guo (ORCID: https://orcid.org/0000-0002-3175-7300)
- Yue Yin (ORCID: https://orcid.org/0000-0002-1640-7337)
- Wei Zhao (ORCID: https://orcid.org/0000-0002-8520-2087)
- Ling Yu
- Zhichen Wang (ORCID: https://orcid.org/0000-0003-0756-0206)
Institutions
- Nankai University (CN)
- People's Liberation Army No. 150 Hospital (CN)
- Chinese People's Liberation Army (CN)
- Chinese People’s Liberation Army 263 hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-26
- DOI
- https://doi.org/10.3389/fonc.2024.1499140
- Citations
- 1
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.42