ArticleTechnology in cancer research & treatment
The Study of Tumor Volume as a Prognostic Factor in T Staging System for Non-Small Cell Lung Cancer: An Exploratory Study.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Computed Tomography-Based Radiomics Features Characterize Low and High-Risk Lung Cancer Among People Living With HIV: An Early Report.Clinical lung cancer · 2026Article
- Temporal Trends in Vulvar Cancer Cases and Associated Factors of Adverse Clinical Features: A 6-year Retrospective Study From a Tertiary Hospital in Indonesia.International journal of women's health · 2026Article
- Recommendation for Clinical T Staging in Patients with Non-Small Cell Lung Cancer: Volumetric Measurement: A Retrospective Study from Turkey.Journal of chest surgery · 2025Article
- Impact of lymph node dissection on the efficacy of immune checkpoint inhibitors in patients with postoperative recurrence of non-small cell lung cancer.Journal of thoracic disease · 2024Article
- A Novel Tissue-Free Method to Estimate Tumor-Derived Cell-Free DNA Quantity Using Tumor Methylation Patterns.Cancers · 2023Article
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Abstract
backgroundThis study aimed to evaluate T staging system for non-small cell lung cancer (NSCLC) using tumor volume (TV) and other prognostic factors.
methodsThis study included 1309 cases. The TV and greatest tumor diameter (GTD) were semi-automatically measured. The receiver operating characteristic (ROC) curves of TV and GTD were used to predict survival. The regression analysis was used to describe the correlation between GTD and TV. Overall survival (OS) was analyzed using the Kaplan-Meier method. Cox's proportional hazards regression model was applied for multivariate analysis.
resultsUsing the OS in pN0M0 patients (997 cases), we obtained 4 optimal cutoff values and divided all cases into 5 TV groups (V1: TV ≤ 2.80 cm
conclusionsWe proposed a new T staging system using TV as the main prognostic descriptor in NSCLC patients, which may provide a better comprehensive clinical value than GTD in clinical applications.
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