Lung cancer continues to be a significant cause of mortality worldwide, primarily due to late-stage diagnosis and the challenges in distinguishing between benign and malignant pulmonary nodules. Recen
Purpose To prospectively evaluate whether Lung-RADS classification and volumetric nodule assessment were feasible with ultralow-dose (ULD) chest CT scans with deep learning image reconstruction (DLIR)
Lung cancer continues to be a significant cause of mortality worldwide, primarily due to late-stage diagnosis and the challenges in distinguishing between benign and malignant pulmonary nodules. Recen
