Suppr超能文献

平均心脏剂量是否是乳腺癌放疗过程中左心室和冠状动脉暴露的相关替代参数:基于个体确定的辐射剂量的剂量学评估(BACCARAT 研究)。

Is mean heart dose a relevant surrogate parameter of left ventricle and coronary arteries exposure during breast cancer radiotherapy: a dosimetric evaluation based on individually-determined radiation dose (BACCARAT study).

机构信息

Institut de Radioprotection et de Sureté Nucléaire (IRSN), PSE-SANTE, SESANE, LEPID, BP17, 92262, Fontenay-aux-roses, Cedex, France.

Clinique Pasteur, Radiothérapie (Oncorad), Toulouse, France.

出版信息

Radiat Oncol. 2019 Feb 7;14(1):29. doi: 10.1186/s13014-019-1234-z.

Abstract

BACKGROUND

Intra-individual heterogeneity of cardiac exposure is an issue in breast cancer (BC) radiotherapy that was poorly considered in previous cardiotoxicity studies mainly based on mean heart dose (MHD). This dosimetric study analyzes the distribution of individually-determined radiation doses to the heart and its substructures including coronary arteries and evaluate whether MHD is a relevant surrogate parameter of dose for these substructures.

METHODS

Data were collected from the BACCARAT prospective study that included left or right unilateral BC patients treated with 3D-Conformal Radiotherapy (RT) between 2015 and 2017 and followed-up for 2 years with repeated cardiac imaging examinations. A coronary computed tomography angiography (CCTA) was performed before RT for all patients. Registration of the planning CT and CCTA images allowed delineation of the coronary arteries on the planning CT images. Using the 3D dose matrix generated during treatment planning and the added coronary contours, dose distributions were generated for whole heart and the following substructures: left ventricle (LV), left main coronary artery (LMCA), left anterior descending artery (LAD), left circumflex artery (LCX) and right coronary artery (RCA). A descriptive analysis of the physical doses in Gray (Gy) was performed, Dmean was the volume-weighted mean dose.

RESULTS

Dose distributions were generated for 89 left-sided BC patients (MHD = 2.9 ± 1.5 Gy, Dmean_LAD = 15.7 ± 3.1 Gy) and 15 right-sided BC patients (MHD = 0.5 ± 0.1 Gy; Dmean_RCA = 1.2 ± 0.4 Gy). For left-sided BC patients, the ratio Dmean_LAD/MHD was around 5. Pearson correlation coefficients between MHD and Dmean for delineated substructures were all statistically significant. However, for all substructures, the coefficient of determination R indicated that the proportion of the variance in Dmean of the substructure predictable from MHD was moderate to low (in particular R = 0.45 for LAD). Among left-sided BC patients with MHD < 3Gy, 56% of patients could nevertheless receive LAD doses above 40Gy (V40 > 0).

CONCLUSION

Our study illustrates that MHD is not enough to predict with confidence individual patient dose to the LV and coronary arteries, in particular the LAD. For precise radiotherapy-induced cardiotoxicity studies it would be necessary to consider the distribution of doses within these cardiac substructures rather than just the MHD.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02605512 , Registered 6 November 2015 - Retrospectively registered.

摘要

背景

心脏照射的个体内异质性是乳腺癌(BC)放疗中的一个问题,在以前主要基于平均心脏剂量(MHD)的心脏毒性研究中考虑甚少。这项剂量学研究分析了心脏及其亚结构(包括冠状动脉)的个体确定剂量的分布,并评估 MHD 是否是这些亚结构剂量的相关替代参数。

方法

数据来自 BACCARAT 前瞻性研究,该研究纳入了 2015 年至 2017 年间接受左侧或右侧单侧 BC 治疗的患者,并在 2 年内进行了重复的心脏成像检查。所有患者在 RT 前均进行了冠状动脉计算机断层血管造影术(CCTA)。在治疗计划中,通过对规划 CT 和 CCTA 图像进行配准,在规划 CT 图像上勾画冠状动脉。使用治疗计划期间生成的 3D 剂量矩阵和添加的冠状动脉轮廓,为整个心脏和以下亚结构生成剂量分布:左心室(LV)、左主干冠状动脉(LMCA)、左前降支(LAD)、左旋支冠状动脉(LCX)和右冠状动脉(RCA)。对格雷(Gy)的物理剂量进行描述性分析,Dmean 为体积加权平均剂量。

结果

为 89 例左侧 BC 患者(MHD=2.9±1.5Gy,Dmean_LAD=15.7±3.1Gy)和 15 例右侧 BC 患者(MHD=0.5±0.1Gy;Dmean_RCA=1.2±0.4Gy)生成了剂量分布。对于左侧 BC 患者,Dmean_LAD/MHD 比值约为 5。MHD 与勾画亚结构的 Dmean 之间的 Pearson 相关系数均具有统计学意义。然而,对于所有亚结构,可决定系数 R 表明,亚结构 Dmean 中可由 MHD 预测的方差比例中等偏低(尤其是 LAD 为 R=0.45)。在 MHD<3Gy 的左侧 BC 患者中,仍有 56%的患者可接受 LAD 剂量超过 40Gy(V40>0)。

结论

我们的研究表明,MHD 不足以自信地预测个体患者的 LV 和冠状动脉的剂量,特别是 LAD。对于精确的放疗诱导性心脏毒性研究,有必要考虑这些心脏亚结构内的剂量分布,而不仅仅是 MHD。

试验注册

ClinicalTrials.gov:NCT02605512,2015 年 11 月 6 日注册-回顾性注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b2/6367844/773457abe621/13014_2019_1234_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验