Establishment and verification of a prediction model based on clinical characteristics and computed tomography radiomics parameters for distinguishing benign and malignant pulmonary nodules

CONCLUSIONS: The clinical-radiomics nomogram combined of CT-based radiomics signature, along with CYFRA21-1 and CEA, demonstrated strong predictive ability, calibration, and clinical usefulness in distinguishing between benign and malignant pulmonary nodules. The use of CT-based radiomics has the potential to assist clinicians in making informed decisions prior to biopsy or surgery while avoiding unnecessary treatment for non-cancerous lesions.PMID:38617763 | PMC:PMC11009598 | DOI:10.21037/jtd-23-1400

Source: Journal of Thoracic Disease - April 15, 2024 Category: Respiratory Medicine Authors: Xiaohui Hou Meng Wu Jingjing Chen Rui Zhang Yan Wang Shuwen Zhang Zaixin Yuan Jian Feng Liqin Xu Source Type: research