Comparison of different classification systems for pulmonary nodules: a multicenter retrospective study in China

• Published in: Cancer imaging 2024-01, Vol.24 (1), p.15-11, Article 15
• Main Authors: Song, Feipeng, Yang, Qian, Gong, Tong, Sun, Kai, Zhang, Wenjia, Liu, Mengxi, Lv, Fajin
• Format: Article
• Language: English
• Subjects: Agreements; Category; China; Clinical medicine; Data systems; Diagnostic systems; Hospitals; Humans; Lung cancer; Lung Neoplasms - diagnostic imaging; Lungs; Medical imaging; Medical screening; Multiple Pulmonary Nodules - diagnostic imaging; Nodules; Pulmonary nodule; Retrospective Studies; Sensitivity; Tomography; Tomography, X-Ray Computed
• ISSN: 1470-7330; 1740-5025; 1470-7330
• DOI: 10.1186/s40644-023-00634-y

To compare the diagnostic performance of Lung-RADS (lung imaging-reporting and data system) 2022 and PNI-GARS (pulmonary node imaging-grading and reporting system). Pulmonary nodules (PNs) were selected at four centers, namely, CQ Center (January 1, 2018-December 31, 2021), HB Center (January 1, 2021-June 30, 2022), SC Center (September 1, 2021-December 31, 2021), and SX Center (January 1, 2021-December 31, 2021). PNs were divided into solid nodules (SNs), partial solid nodules (PSNs) and ground-glass nodules (GGNs), and they were then classified by the Lung-RADS and PNI-GARS. The sensitivity, specificity and agreement rate were compared between the two systems by the χ test. For SN and PSN, the sensitivity of PNI-GARS and Lung-RADS was close (SN 99.8% vs. 99.4%, P  35.1%, PSN 13.3% > 5.7%, all P  74.5%, P  92.7%, all P