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将肺气肿肺组织从剂量-体积估计风险中排除可提高放射性肺炎预测的准确性。

Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis.

机构信息

Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.

Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan.

出版信息

Radiat Oncol. 2017 Oct 2;12(1):160. doi: 10.1186/s13014-017-0891-z.

Abstract

BACKGROUND

The risk factors for radiation pneumonitis (RP) in patients with chronic obstructive pulmonary disease (COPD) are unclear. Mean lung dose (MLD) and percentage of irradiated lung volume are common predictors of RP, but the most accurate dosimetric parameter has not been established. We hypothesized that the total lung volume irradiated without emphysema would influence the onset of RP.

METHODS

We retrospectively evaluated 100 patients who received radiotherapy for lung cancer. RP was graded according to the Common Terminology Criteria for Adverse Events (version 4.03). We quantified low attenuation volume (LAV) using quantitative computed tomography analysis. The association between RP and traditional dosimetric parameters including MLD, volume of the lung receiving a dose of ≥2 Gy, ≥ 5 Gy, ≥ 10 Gy, ≥ 20 Gy, and ≥30 Gy, and counterpart measurements of the lung without LAV, were analyzed by logistic regression. We compared each dosimetric parameter for RP using multiple predictive performance measures including area under the receiver operating characteristic curve (AUC) and integrated discrimination improvement (IDI).

RESULTS

Of 100 patients, RP of Grades 1, 2, 3, 4, and 5 was diagnosed in 24, 12, 13, 1, and 1 patients, respectively. Compared with traditional dosimetric parameters, counterpart measurements without LAV improved risk prediction of symptomatic RP. The ratio of the lung without LAV receiving ≥30 Gy to the total lung volume without LAV most accurately predicted symptomatic RP (AUC, 0.894; IDI, 0.064).

CONCLUSION

Irradiated lung volume without LAV predicted RP more accurately than traditional dosimetric parameters.

摘要

背景

慢性阻塞性肺疾病(COPD)患者放射性肺炎(RP)的危险因素尚不清楚。平均肺剂量(MLD)和受照肺体积百分比是 RP 的常见预测指标,但尚未确定最准确的剂量学参数。我们假设无肺气肿的全肺受照体积会影响 RP 的发生。

方法

我们回顾性评估了 100 例因肺癌接受放疗的患者。RP 根据不良事件常用术语标准(第 4.03 版)进行分级。我们使用定量 CT 分析量化低衰减体积(LAV)。通过逻辑回归分析 RP 与传统剂量学参数(MLD、接受 2 Gy、5 Gy、10 Gy、20 Gy 和 30 Gy 剂量的肺体积,以及无 LAV 的肺对应测量值)之间的关系。我们使用包括接受者操作特征曲线下面积(AUC)和综合判别改善(IDI)在内的多个预测性能指标比较每个剂量学参数的 RP。

结果

在 100 例患者中,分别诊断出 1 例、24 例、12 例、13 例、1 例和 1 例 Grades 1、2、3、4 和 5 的 RP。与传统剂量学参数相比,无 LAV 的对应测量值改善了有症状 RP 的风险预测。无 LAV 的肺接受≥30 Gy 的比例与无 LAV 的总肺体积最准确地预测了有症状 RP(AUC,0.894;IDI,0.064)。

结论

无 LAV 的受照肺体积比传统剂量学参数更能准确预测 RP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c1/5625816/d5b37f392674/13014_2017_891_Fig1_HTML.jpg

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