Huang, Hsu-ChengHsu-ChengHuangYU-SEN HUANGChang, Yu-ChienYu-ChienChangJIN-YUAN SHIHJIN-SHING CHENWang, Teh-ChenTeh-ChenWangYEUN-CHUNG CHANG2024-02-232024-02-232024-02-0518671071https://scholars.lib.ntu.edu.tw/handle/123456789/639918Purpose: To ascertain the performance of dual-energy CT (DECT) with iodine quantification in differentiating malignant mediastinal and hilar lymph nodes (LNs) from benign ones, focusing on patients with lung adenocarcinoma. Materials and methods: In this study, patients with suspected lung cancer received a preoperative contrast-enhanced DECT scan from Jun 2018 to Dec 2020. Quantitative DECT parameters and the size were compared between metastatic and benign LNs. Their diagnostic performances were analyzed by the ROC curves and compared by using the two-sample t test. Results: 72 patients (23 men, 49 women; mean age 62.5 ± 10.1 years) fulfilled the inclusion criteria. A total of 98 LNs (67 benign, 31 metastatic) were analyzed. The iodine concentration normalized by muscle (NICmuscle) was significantly higher (P < 0.001) in metastatic LNs (4.79 ± 1.70) than in benign ones (3.00 ± 1.45). The optimal threshold of NICmuscle was 3.44, which yielded AUC: 0.798, sensitivity: 83.9%, specificity: 73.1%, accuracy: 76.5%, respectively. Applying the established size parameters with 10 mm as the threshold yielded AUC: 0.600, sensitivity: 29.0%, specificity: 91.0%, accuracy: 71.4%, respectively. The diagnostic performance of NICmuscle was significantly better (P = 0.007) than the performance obtained using the established size parameters. Conclusions: For lung adenocarcinoma, the quantitative measurement of NICmuscle derived from DECT is useful for differentiating benign and metastatic mediastinal and hilar LNs before surgical intervention.enAdenocarcinoma of lungDual-energy computed tomographyIodine concentrationLymph node metastasesSpectral computed tomographyDual-energy computed tomography for evaluating nodal staging in lung adenocarcinoma: correlation with surgical pathologyjournal article10.1007/s11604-023-01525-9383117042-s2.0-85184250984https://api.elsevier.com/content/abstract/scopus_id/85184250984