A CT-based nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodule according to the 2021 WHO classificationQilong Song, Biao Song, Xiaohu Li, Bin Wang, Yuan Li, Wu Chen, Zhaohua Wang, Xu Wang, Yongqiang Yu, Xuhong Min & Dongchun Ma
Abstract Purpose To establish a nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodules (SSNs) according to the 2021 WHO classification. Methods A total of 656 patients who underwent SSNs resection were retrospectively enrolled. Among them, 407 patients were assigned to the derivation cohort and 249 patients were assigned to the validation cohort. Univariate and multi-variate logistic regression algorithms were utilized to identity independent risk factors of adenocarcinomas. A nomogram based on...
1 citation reported since publication in 2022.
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