Concurrent Chemoradiotherapy with Extended Nodal Irradiation and/or Erlotinib in Locally Advanced Esophageal Squamous Cell Cancer: Long-Term Follow-Up of a Randomized Phase 3 Trial

2019 ◽  
Author(s):  
Congying Xie ◽  
Zhao Jing ◽  
Honglei Luo ◽  
Wei Hu ◽  
Anping Zheng ◽  
...  
Keyword(s):  
Squamous Cell ◽  
Concurrent Chemoradiotherapy ◽  
Squamous Cell Cancer ◽  
Cell Cancer ◽  
Locally Advanced ◽  
Esophageal Squamous Cell Cancer ◽  
Phase 3 ◽  
Long Term Follow Up

scholarly journals Low cardiac dose and neutrophil-to-lymphocyte ratio predict overall survival in inoperable esophageal squamous cell cancer patients after chemoradiotherapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yu-Chieh Ho ◽  
Yuan-Chun Lai ◽  
Hsuan-Yu Lin ◽  
Ming-Hui Ko ◽  
Sheng-Hung Wang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Squamous Cell ◽  
Squamous Cell Cancer ◽  
Performance Status ◽  
Cell Cancer ◽  
Esophageal Squamous Cell Cancer ◽  
Lymphocyte Ratio ◽  
Cardiac Dose

AbstractWe aimed to determine the prognostic significance of cardiac dose and hematological immunity parameters in esophageal cancer patients after concurrent chemoradiotherapy (CCRT). During 2010–2015, we identified 101 newly diagnosed esophageal squamous cell cancer patients who had completed definitive CCRT. Patients' clinical, dosimetric, and hematological data, including absolute neutrophil count, absolute lymphocyte count, and neutrophil-to-lymphocyte ratio (NLR), at baseline, during, and post-CCRT were analyzed. Cox proportional hazards were calculated to identify potential risk factors for overall survival (OS). Median OS was 13 months (95% confidence interval [CI]: 10.38–15.63). Univariate analysis revealed that male sex, poor performance status, advanced nodal stage, higher percentage of heart receiving 10 Gy (heart V10), and higher NLR (baseline and follow-up) were significantly associated with worse OS. In multivariate analysis, performance status (ECOG 0 & 1 vs. 2; hazard ratio [HR] 3.12, 95% CI 1.30–7.48), heart V10 (> 84% vs. ≤ 84%; HR 2.24, 95% CI 1.26–3.95), baseline NLR (> 3.56 vs. ≤ 3.56; HR 2.36, 95% CI 1.39–4.00), and follow-up NLR (> 7.4 vs. ≤ 7.4; HR 1.95, 95% CI 1.12–3.41) correlated with worse OS. Volume of low cardiac dose and NLR (baseline and follow-up) were associated with worse patient survival.

scholarly journals Radiomics Signature Facilitates Organ-Saving Strategy in Patients With Esophageal Squamous Cell Cancer Receiving Neoadjuvant Chemoradiotherapy

2021 ◽  
Vol 10 ◽  
Author(s):  
Yue Li ◽  
Jun Liu ◽  
Hong-xuan Li ◽  
Xu-wei Cai ◽  
Zhi-gang Li ◽  
...  
Keyword(s):  
Squamous Cell ◽  
Squamous Cell Cancer ◽  
Cell Cancer ◽  
Locally Advanced ◽  
Neoadjuvant Chemoradiotherapy ◽  
Esophageal Squamous Cell Cancer ◽  
Clinical Model ◽  
Clinical Variables ◽  
Treatment Plans ◽  
Radiomics Signature

After neoadjuvant chemoradiotherapy (NCRT) in locally advanced esophageal squamous cell cancer (ESCC), roughly 40% of the patients may achieve pathologic complete response (pCR). Those patients may benefit from organ-saving strategy if the probability of pCR could be correctly identified before esophagectomy. A reliable approach to predict pathological response allows future studies to investigate individualized treatment plans.MethodAll eligible patients treated in our center from June 2012 to June 2019 were retrospectively collected. Radiomics features extracted from pre-/post-NCRT CT images were selected by univariate logistic and LASSO regression. A radiomics signature (RS) developed with selected features was combined with clinical variables to construct RS+clinical model with multivariate logistic regression, which was internally validated by bootstrapping. Performance and clinical usefulness of RS+clinical model were assessed by receiver operating characteristic (ROC) curves and decision curve analysis, respectively.ResultsAmong the 121 eligible patients, 51 achieved pCR (42.1%) after NCRT. Eighteen radiomics features were selected and incorporated into RS. The RS+clinical model has improved prediction performance for pCR compared with the clinical model (corrected area under the ROC curve, 0.84 vs. 0.70). At the 60% probability threshold cutoff (i.e., the patient would opt for observation if his probability of pCR was >60%), net 13% surgeries could be avoided by RS+clinical model, equivalent to implementing organ-saving strategy in 31.37% of the 51 true-pCR cases.ConclusionThe model built with CT radiomics features and clinical variables shows the potential of predicting pCR after NCRT; it provides significant clinical benefit in identifying qualified patients to receive individualized organ-saving treatment plans.

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