Multiple Tumor-related autoantibodies test enhances CT-based deep learning performance in diagnosing lung cancer with diameters < 70 mm: a prospective study in China

Multiple Tumor-related autoantibodies test enhances CT-based deep learning performance in diagnosing lung cancer with diameters < 70 mm: a prospective study in China

Abstract Background Deep learning (DL) demonstrates high sensitivity but low specificity in lung cancer (LC) detection during CT screening, and the seven Tumor-associated antigens autoantibodies (7-TAAbs), known for its high specificity in LC, was employed to improve the DL’s specificity for the eff...

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Bibliographic Details
Main Authors: Qingcheng Meng, Pengfei Ren, Lanwei Guo, Pengrui Gao, Tong Liu, Wenda Chen, Wentao Liu, Hui Peng, Mengjia Fang, Shuo Meng, Hong Ge, Meng Li, Xuejun Chen
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Pulmonary Medicine
Subjects:
X-ray computed tomography
Tumor biomarkers
Deep learning
Neoplasm, pulmonary lesions
Online Access:https://doi.org/10.1186/s12890-025-03807-6
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