ArticleScientific reports2017
The Value of CBCT-based Tumor Density and Volume Variations in Prediction of Early Response to Chemoradiation Therapy in Advanced NSCLC.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness and safety of the bevacizumab and erlotinib combinationFrontiers in oncology · 2023Pooled it
- Multitask learning for early treatment response and survival prediction in lung cancer radiotherapy using sequential CBCT imaging.Frontiers in oncology · 2026Article
- Assessing the effect of scanning parameter on the size and density of pulmonary nodules: a phantom study.BMC medical imaging · 2024Article
- The value of CT shape quantification in predicting pathological classification of lung adenocarcinoma.BMC cancer · 2024Article
- A Novel Method for Evaluating Early Tumor Response Based on Daily CBCT Images for Lung SBRT.Cancers · 2023Article
- Enhanced CT-based radiomics model to predict natural killer cell infiltration and clinical prognosis in non-small cell lung cancer.Frontiers in immunology · 2023Article
- Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients.Thoracic cancer · 2020Article
- A Megavoltage CT Image Enhancement Method for Image-Guided and Adaptive Helical TomoTherapy.Frontiers in oncology · 2019Article
- The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis.Frontiers in oncology · 2018Article
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7 authors.
Funding
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Abstract
The correlations between early responses and the variations in physical density and primary tumor volume (TV) according to cone-beam computed tomography (CBCT) during chemoradiotherapy for non-small cell lung cancer (NSCLC) patients were investigated. 54 patients with inoperable and locally advanced NSCLC were included in this study. The CT numbers (CTN) and TV were measured on each of the seven observation points. The changes in the mean CTN values and the variation ratios of TV during the treatment course were analysed and correlated with the clinical outcomes, as evaluated by the RECIST criteria. For patients who responded to treatment, the CTN and TV change ratio decreased by 28.44 ± 13.12 HU and 32.01% (range, 8.46-61.67%); these values were significantly higher than those in the non-responding patients, with 19.63 ± 8.67 HU and 23.20% (range, -15.57-38%) (p = 0.016, p = 0.048), respectively. The area under curve for the combination of CTN and TV was larger than either alone (AUC = 0.751, p = 0.002). The differences between response and non-response were most significant between Fraction 10 and Fraction 15 for CTN changes and between Fraction 5 and Fraction 10 for the TV regression ratio. The changes in CTN and TV obtained from CBCT images have the potential capability to predict an early response of NSCLC.
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