Suppr超能文献

在非小细胞肺癌患者同步放化疗中,锥形束 CT 测量的原发肿瘤体积变化对预后的预测价值。

The prognostic value of volumetric changes of the primary tumor measured on Cone Beam-CT during radiotherapy for concurrent chemoradiation in NSCLC patients.

机构信息

Department of Radiation Oncology, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.

INSERM, Bordeaux Population Health Research Center, UMR 1219, Univ. Bordeaux, France.

出版信息

Radiother Oncol. 2020 May;146:44-51. doi: 10.1016/j.radonc.2020.02.002. Epub 2020 Feb 27.

Abstract

INTRODUCTION

The aim of this study was to identify subgroups of locally advanced NSCLC patients with a distinct treatment response during concurrent chemoradiotherapy (CCRT). Subsequently, we investigated the association of subgroup membership with treatment outcomes.

METHODS

394 NSCLC-patients treated with CCRT between 2007 and 2013 were included. Gross Tumor Volume (GTV) during treatment was determined and relative GTV-volume change from the planning-CT was subsequently calculated. Latent Class Mixed Modeling (LCMM) was used to identify subgroups with distinct volume changes during CCRT. The association of subgroup membership with overall survival (OS), progression free survival (PFS) and local regional control (LRC) was assessed using cox regression analyses.

RESULTS

Three subgroups of GTV-volume change during treatment were identified, with each subsequent subgroup showing a more profound reduction of GTV during treatment. No associations between subgroup membership and OS, PFS nor LRC were observed. Nonetheless, baseline GTV (HR1.42; 95%CI 1.06-1.91) was significantly associated with OS.

CONCLUSIONS

Three different subgroups of GTV-volume change during treatment were identified. Surprisingly, these subgroups did not differ in their risk of treatment outcomes. Only patients with a larger GTV at baseline had a significantly worse OS. Therefore, risk stratification at baseline might already be accurate in identifying the best treatment strategy for most patients.

摘要

简介

本研究旨在确定局部晚期 NSCLC 患者在同期放化疗(CCRT)期间具有不同治疗反应的亚组。随后,我们调查了亚组归属与治疗结果的相关性。

方法

纳入了 2007 年至 2013 年间接受 CCRT 治疗的 394 名 NSCLC 患者。在治疗过程中确定了大体肿瘤体积(GTV),并随后计算了从计划 CT 计算得出的相对 GTV 体积变化。潜在类别混合模型(LCMM)用于识别 CCRT 期间具有明显体积变化的亚组。使用 Cox 回归分析评估亚组归属与总生存(OS)、无进展生存(PFS)和局部区域控制(LRC)的相关性。

结果

确定了治疗过程中 GTV 体积变化的三个亚组,每个后续亚组在治疗过程中 GTV 的减少更为明显。未观察到亚组归属与 OS、PFS 或 LRC 之间存在关联。尽管如此,基线 GTV(HR1.42;95%CI 1.06-1.91)与 OS 显著相关。

结论

确定了治疗过程中 GTV 体积变化的三个不同亚组。令人惊讶的是,这些亚组在治疗结果的风险方面没有差异。只有基线 GTV 较大的患者 OS 显著更差。因此,基线风险分层可能已经能够准确地确定大多数患者的最佳治疗策略。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验