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生物力学成像生物标志物在放化疗期间预测头颈部鳞状细胞癌的治疗反应。

Biomechanical imaging biomarker during chemoradiotherapy predicts treatment response in head and neck squamous cell carcinoma.

机构信息

Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan.

Department of Radiological Technology, Yamaguchi University Hospital, Ube, Japan.

出版信息

Phys Med Biol. 2024 Feb 29;69(5). doi: 10.1088/1361-6560/ad29b9.

Abstract

. For response-adapted adaptive radiotherapy (R-ART), promising biomarkers are needed to predict post-radiotherapy (post-RT) responses using routine clinical information obtained during RT. In this study, a patient-specific biomechanical model (BM) of the head and neck squamous cell carcinoma (HNSCC) was proposed using the pre-RT maximum standardized uptake value (SUV) ofF-fluorodeoxyglucose (FDG) and tumor structural changes during RT as evaluated using computed tomography (CT). In addition, we evaluated the predictive performance of BM-driven imaging biomarkers for the treatment response of patients with HNSCC who underwent concurrent chemoradiotherapy (CCRT).. Patients with histologically confirmed HNSCC treated with definitive CCRT were enrolled in this study. All patients underwent CT two times as follows: before the start of RT (pre-RT) and 3 weeks after the start of RT (mid-RT). Among these patients, 67 patients who underwent positron emission tomography/CT during the pre-RT period were included in the final analysis. The locoregional control (LC), progression-free survival (PFS), and overall survival (OS) prediction performances of whole tumor stress change (TS) between pre- and mid-RT computed using BM were assessed using univariate, multivariate, and Kaplan-Meier survival curve analyses, respectively. Furthermore, performance was compared with the pre and post-RT SUV, tumor volume reduction rate (TVRR) during RT, and other clinical prognostic factors.. For both univariate, multivariate, and survival curve analyses, the significant prognostic factors were as follows (< 0.05): TS and TVRR for LC; TS and pre-RT FDG-SUVfor PFS; and TS only for OS. In addition, for 2 year LC, PFS, and OS prediction, TS showed a comparable predictive performance to post-RT FDG-SUV.. BM-driven TS is an effective prognostic factor for tumor treatment response after CCRT. The proposed method can be a feasible functional imaging biomarker that can be acquired during RT using only routine clinical data and may provide useful information for decision-making during R-ART.

摘要

. 对于适应性放疗(ART)的反应适应,需要有有前途的生物标志物,以便使用放疗期间获得的常规临床信息来预测放疗后(post-RT)的反应。在这项研究中,提出了一种基于头颈部鳞状细胞癌(HNSCC)患者的特定生物力学模型(BM),该模型使用 F-氟脱氧葡萄糖(FDG)的放疗前最大标准化摄取值(SUV)和放疗期间使用计算机断层扫描(CT)评估的肿瘤结构变化。此外,我们评估了 BM 驱动的成像生物标志物对接受同期放化疗(CCRT)的 HNSCC 患者治疗反应的预测性能。. 这项研究纳入了接受根治性 CCRT 治疗的组织学证实的 HNSCC 患者。所有患者均进行了两次 CT 检查:放疗前(pre-RT)和放疗开始后 3 周(mid-RT)。在这些患者中,对 pre-RT 期间进行正电子发射断层扫描/CT 的 67 名患者进行了最终分析。使用单变量、多变量和 Kaplan-Meier 生存曲线分析分别评估了使用 BM 计算的 pre-RT 和 mid-RT 之间全肿瘤应变变化(TS)对局部区域控制(LC)、无进展生存(PFS)和总生存(OS)的预测性能。此外,还与 pre-RT 和 post-RT SUV、放疗期间肿瘤体积减少率(TVRR)和其他临床预后因素进行了比较。. 单变量、多变量和生存曲线分析的结果均表明,LC 的显著预后因素为:TS 和 TVRR;PFS 的 TS 和 pre-RT FDG-SUV;OS 的唯一因素是 TS。此外,对于 2 年 LC、PFS 和 OS 预测,TS 的预测性能与 post-RT FDG-SUV 相当。. BM 驱动的 TS 是 CCRT 后肿瘤治疗反应的有效预后因素。该方法可以作为一种可行的功能成像生物标志物,仅使用常规临床数据即可在放疗期间获得,并且可以为 R-ART 期间的决策提供有用信息。

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