ArticleCancer medicine2023
Nomograms for intraoperative prediction of lymph node metastasis in clinical stage IA lung adenocarcinoma.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Development and validation of an interpretable machine learning model for prediction of occult lymph node metastasis in clinical stage T1 lung adenocarcinoma.Translational lung cancer research · 2025Article
- Customized transformer for lymph node metastasis prediction from lung adenocarcinoma histology in a multicentric study.NPJ precision oncology · 2025Article
- A novel nomogram for predicting mediastinal lymph node metastasis in non-small cell lung cancer: a retrospective analysis.Journal of thoracic disease · 2025Article
- Predictors of occult lymph node metastasis in clinical T1 lung adenocarcinoma: a retrospective dual-center study.BMC pulmonary medicine · 2025Article
- Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model.BMC pulmonary medicine · 2024Article
- Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma.BMC medical imaging · 2024Article
- A comparison of machine learning methods for radiomics modeling in prediction of occult lymph node metastasis in clinical stage IA lung adenocarcinoma patients.Journal of thoracic disease · 2024Article
- Development and external validation of a nomogram for predicting lymph node metastasis in 1-3 cm lung adenocarcinoma.Future oncology (London, England) · 2024Article
- Nomograms for intraoperative prediction of lymph node metastasis in clinical stage IA lung adenocarcinoma.Cancer medicine · 2023Article
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5 authors.
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Abstract
backgroundAccurate prediction of lymph node metastasis (LNM) is critical for selecting optimal surgical procedures in early-stage lung adenocarcinoma (LUAD). This study aimed to develop nomograms for intraoperative prediction of LNM in clinical stage IA LUAD.
methodsA total of 1227 patients with clinical stage IA LUADs on computed tomography (CT) were enrolled to construct and validate nomograms for predicting LNM (LNM nomogram) and mediastinal LNM (LNM-N2 nomogram). Recurrence-free survival (RFS) and overall survival (OS) were compared between limited mediastinal lymphadenectomy (LML) and systematic mediastinal lymphadenectomy (SML) in the high- and low-risk groups for LNM-N2, respectively.
resultsThree variables were incorporated into the LNM nomogram and the LNM-N2 nomogram, including preoperative serum carcinoembryonic antigen (CEA) level, CT appearance, and tumor size. The LNM nomogram showed good discriminatory performance, with C-indexes of 0.879 (95% CI, 0.847-0.911) and 0.880 (95% CI, 0.834-0.926) in the development and validation cohorts, respectively. The C-indexes of the LNM-N2 nomogram were 0.812 (95% CI, 0.766-0.858) and 0.822 (95% CI, 0.762-0.882) in the development and validation cohorts, respectively. LML and SML had similar survival outcomes among patients with low risk of LNM-N2 (5-year RFS, 88.1% vs. 89.5%, Pp = 0.790; 5-year OS, 96.0% vs. 93.0%, p = 0.370). However, for patients with high risk of LNM-N2, LML was associated with worse survival (5-year RFS, 64.0% vs. 77.4%, p = 0.036; 5-year OS, 66.0% vs. 85.9%, p = 0.038).
conclusionsWe developed and validated nomograms to predict LNM and LNM-N2 intraoperatively in patients with clinical stage IA LUAD on CT. These nomograms may help surgeons to select optimal surgical procedures.
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