Preoperative Contrast-enhanced CT Features Associated with Occult Lymph Node Metastasis in Early-Stage Solid Non–Small Cell Lung Cancer
Yuyi Feng, Huangqi Zhang, Jiaqian Yu, Lingxia Wang, Yitian Wu, Lingwei Zhu, Jianchen Zheng, Ying Chen, Jincheng Lai, Hai Yang, Tao-Hsin Tung, Minghui Cai, Wenbin Ji

TL;DR
This study creates a CT-based model to predict hidden lymph node metastasis in early-stage lung cancer, helping tailor surgical strategies.
Contribution
A novel CT-based nomogram is developed to predict occult lymph node metastasis in early-stage solid NSCLC.
Findings
22.2% of patients had occult lymph node metastasis, with 47.9% in N1 and 52.1% in N2.
Key predictors include decreased inner margin ratio, lollipop sign, and tumor-pleura relationship types II and III.
The nomogram achieved an AUC of 0.81 with 78.1% sensitivity and 73.4% specificity.
Abstract
To develop and validate a contrast-enhanced CT-based prediction model for identifying occult lymph node metastasis (OLNM) in patients with early-stage non–small cell lung cancer (NSCLC), with the goal of supporting individualized lymph node dissection (LND) strategies. This retrospective study included patients with preoperative clinical stage I–IIA (cT1–T2bN0M0) solid NSCLC who underwent lobectomy with systematic LND between January 2021 and April 2024. Univariable and multivariable logistic regression analyses were used to identify independent preoperative CT predictors of OLNM and to construct a nomogram. Model performance was assessed using the area under the receiver operating characteristic curve, and specificity was evaluated at a fixed sensitivity of 95%. Among 329 patients with solid NSCLC (median age, 65 years; IQR, 58–70 years; 168 male patients), 22.2% (73 of 329) had…
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Taxonomy
TopicsLung Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging · Hepatocellular Carcinoma Treatment and Prognosis
