The diagnostic performance and clinical value of deep learning-based nodule detection system concerning influence of location of pulmonary nodule

ConclusionThe performance of the DLD system was lower in the detection of DZ nodules compared to that of NDZ nodules. Nonetheless, RR performance in detecting DZ nodules improved upon using the DLD system.Critical relevance statementDespite the deep learning-based nodule detection system ’s limitations in detecting danger zone nodules, it proves beneficial for less-experienced observers by providing valuable assistance in identifying these nodules, thereby advancing nodule detection in clinical practice.Key points• The deep learning-based nodule detection (DLD) system can improve the diagnostic performance of observers in nodule detection.• The DLD system shows poor diagnostic performance in detecting danger zone nodules.• For less-experienced observers, the DLD system is helpful in detecting danger zone nodules.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research