Suppr超能文献

预后不良因素的非小细胞肺癌患者大分割胸部放疗中急性放射性肺炎和食管炎的剂量学预测因素

Dosimetric Predictors of Acute Radiation Pneumonitis and Esophagitis in Hypofractionated Thoracic Irradiation of Non-Small Cell Lung Cancer Patients With Poor Prognostic Factors.

作者信息

Kenndoff Saskia, Nieto Alexander, Guggenberger Julian Elias, Taugner Julian, Mansoorian Sina, Käsmann Lukas, Schmidt-Hegemann Nina-Sophie, Manapov Farkhad, Belka Claus, Eze Chukwuka

机构信息

Department of Radiation Oncology, University Hospital LMU Munich, Munich, Germany.

German Cancer Consortium (DKTK), Partner Site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Adv Radiat Oncol. 2024 Nov 15;10(2):101682. doi: 10.1016/j.adro.2024.101682. eCollection 2025 Feb.

Abstract

PURPOSE

The proliferation rates of non-small cell lung cancer (NSCLC) and associated radiation resistance highlight the potential of hypofractionated radiation therapy (hypoRT). However, radiation pneumonitis and esophagitis remain dose-limiting adverse events. This study investigates dosimetric factors influencing the risk of pneumonitis and esophagitis in highly multimorbid patients undergoing moderately hypoRT.

METHODS AND MATERIALS

Forty-seven NSCLC patients with poor performance status treated between January 2014 and July 2021 were included. Dosimetric parameters including mean lung dose (MLD), percentage of normal (ipsi-/contralateral) lung volume (Vx) receiving ≥x Gy (x = 20, 18, 10, and 5 Gy); mean heart dose (MHD), percentage of the heart volume (HVx) receiving ≥x Gy (x = 20, 10, and 5 Gy); and mean esophageal dose (MED), percentage of esophagus volume (EVx) receiving ≥x Gy (x = 40, 30, 20, 18, 10, and 5 Gy) were analyzed retrospectively. Acute radiation pneumonitis/esophagitis events were assessed within 6/3 months posttreatment. Statistical analyses included random forests, binary logistic regression, and linear regression.

RESULTS

Among the 47 patients with compromised lung function and poor prognostic factors, 8 (17%) and 26 (55%) patients developed all-grade pneumonitis or esophagitis, while 4 (9%) and 10 (21%) patients developed CTCAE grade ≥2 pneumonitis and esophagitis, respectively. Exploratory analyses suggest that V10, V18, and MLD values are associated with an increased risk of pneumonitis. Linear regressions confirmed this for MLD values greater than 9.2 Gy ( = .050). Additionally, higher V5 and V10 values in the contralateral lung were associated with a greater risk of pneumonitis ( = .013/ = .032). Dmax proved to be a significant predictor of esophagitis ( = .020). Moreover, evidence suggests that EV5 and EV40 may portend esophagitis onset.

CONCLUSIONS

This study provides insights into dosimetric factors influencing pneumonitis/esophagitis development in NSCLC patients undergoing hypoRT. While MLD and Dmax emerged as significant predictors of pneumonitis and esophagitis, the small sample size limited the depth of conclusions. Further research with larger cohorts is warranted to validate these observations, potentially optimizing treatment planning and outcomes in this challenging patient population.

摘要

目的

非小细胞肺癌(NSCLC)的增殖率以及相关的放射抗性凸显了大分割放射治疗(hypoRT)的潜力。然而,放射性肺炎和食管炎仍然是剂量限制的不良事件。本研究调查了在接受中度大分割放射治疗的高度多病患者中影响肺炎和食管炎风险的剂量学因素。

方法和材料

纳入了2014年1月至2021年7月期间治疗的47例身体状况较差的NSCLC患者。回顾性分析剂量学参数,包括平均肺剂量(MLD)、接受≥x Gy(x = 20、18、10和5 Gy)的正常(同侧/对侧)肺体积百分比(Vx);平均心脏剂量(MHD)、接受≥x Gy(x = 20、10和5 Gy)的心脏体积百分比(HVx);以及平均食管剂量(MED)、接受≥x Gy(x = 40、30、20、18、10和5 Gy)的食管体积百分比(EVx)。在治疗后6/3个月内评估急性放射性肺炎/食管炎事件。统计分析包括随机森林、二元逻辑回归和线性回归。

结果

在47例肺功能受损且预后因素较差的患者中,8例(17%)和26例(55%)患者发生了所有级别的肺炎或食管炎,而4例(9%)和10例(21%)患者分别发生了CTCAE≥2级的肺炎和食管炎。探索性分析表明,V10、V18和MLD值与肺炎风险增加相关。对于大于9.2 Gy的MLD值,线性回归证实了这一点(P = 0.050)。此外,对侧肺中较高的V5和V10值与更高的肺炎风险相关(P = 0.013/P = 0.032)。Dmax被证明是食管炎的一个重要预测指标(P = 0.020)。此外,有证据表明EV5和EV40可能预示着食管炎的发生。

结论

本研究为影响接受大分割放射治疗的NSCLC患者肺炎/食管炎发生的剂量学因素提供了见解。虽然MLD和Dmax成为肺炎和食管炎的重要预测指标,但小样本量限制了结论的深度。有必要进行更大队列的进一步研究以验证这些观察结果,并可能优化这一具有挑战性患者群体的治疗计划和结果。

相似文献

本文引用的文献

10
Visualizing metabolomics data with R.使用R语言可视化代谢组学数据。
NMR Biomed. 2023 Apr;36(4):e4865. doi: 10.1002/nbm.4865. Epub 2022 Dec 7.

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