Computed tomography-based tumoral and peritumoral radiomics models for preoperative prediction of the spread through air spaces in patients with clinical stage I pure solid invasive lung adenocarcinoma: a multicenter study | Synapse
March 3, 2026Open Access
Computed tomography-based tumoral and peritumoral radiomics models for preoperative prediction of the spread through air spaces in patients with clinical stage I pure solid invasive lung adenocarcinoma: a multicenter study
Puntos clave
Preoperative prediction of STAS status was significantly enhanced by integrating radiomics characteristics and clinical factors.
The study revealed a strong correlation between peritumoral features and STAS status, suggesting they are critical indicators.
Utilization of computed tomography provided detailed imaging to inform tumor spread predictions effectively.
Integration of clinical factors with radiomic data may offer a more accurate approach for patient management.
Resumen
Peritumoral features were significantly correlated with STAS status. The integration of radiomics characteristics and clinical factor provided better performance in the prediction of STAS status.