ArticleJournal of thoracic disease2024
Impact of imaging features on selecting limited lymph node resection for cT1N0M0 lung cancer.
Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Machine learning-based radiomics for guiding lymph node dissection in clinical stage I lung adenocarcinoma: a multicenter retrospective study.Translational lung cancer research · 2024Article
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11 authors.
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Abstract
Background: Controversy still exists in the medical community regarding the performance of limited mediastinal lymphadenectomy (LML) in early-stage lung cancer. The objective of this study was to identify predictors of mediastinal lymph node (mLN) status and analyze its role in guiding surgical strategy. Methods: A retrospective cohort study was conducted on 2,834 surgical patients with peripheral cT1N0M0 non-small cell lung cancer between 2016 and 2018. Logistic regression was employed to identify predictors of N2 metastasis. Prognosis was compared between groups and independent prognostic factors were identified using Kaplan-Meier and multivariate Cox analysis. Results: There were 2,126 patients with systematic mLN dissection and 708 with LML. The multivariate analysis showed that N2 metastasis were associated with tumor size and consolidation tumor ratio (CTR). Patients in group A, with CTR >0.5 and tumor size ≤1 cm or CTR ≤0.5, had a significantly lower rate of N2 metastasis compared to those in group B, with CTR >0.5 and tumor size >1 cm (14.2% Conclusions: The combination of CTR and tumor size can predict mLN metastasis and procedure-specific outcome (SND
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