Aokage K, Suzuki K, Wakabayashi M, et al. - Given that accurate prediction of pathological lymph node status (PLNS) is difficult even with current diagnostic technology, researchers sought to create a prediction model of PLNS in peripheral adenocarcinoma with a dominant solid component, on the basis of clinical as well as radiological factors on thin-section computed tomography, to recognize cases that can be managed with wedge resection or other local therapies. Tumor diameter (including ground-glass opacity), consolidation-to-tumor ratio, and density of solid component were the variables that were incorporated in the formula for calculating the likelihood of pathological lymph node metastasis. A concordance statistic of 0.8041 was obtained. For the external validation set, a concordance statistic of 0.7972 was reported, and diagnostic sensitivity and specificity were 95.4% and 40.5%, respectively, in predicting PLNS. Overall, findings showed both the clinical usefulness of the proposed model as well as its efficacy in successfully predicting pN−(negative pathological lymph node metastasis) in patients with clinical stage IA peripheral lung adenocarcinoma with a dominant solid component.