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用于预测接受放化疗的非小细胞肺癌患者放射性肺损伤的功能剂量学指标。

Functional dosimetric metrics for predicting radiation-induced lung injury in non-small cell lung cancer patients treated with chemoradiotherapy.

机构信息

Department of Radiation Oncology, Shandong Cancer Hospital, Shandong Academy of Medical Sciences, Jinan, People’s Republic China.

出版信息

Radiat Oncol. 2012 May 17;7:69. doi: 10.1186/1748-717X-7-69.

DOI:10.1186/1748-717X-7-69
PMID:22594342
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3434088/
Abstract

BACKGROUND

Radiation-induced lung injury (RILI) is an important dose-limiting toxicity during thoracic radiotherapy. The purpose of this study is to investigate single photon emission computed tomography (SPECT) perfusion-weighted functional dose-volume histogram (FDVH) for predicting RILI in non-small cell lung cancer (NSCLC) patients treated with definitive chemoradiotherapy.

METHODS

Fifty-seven locally advanced NSCLC patients receiving chemoradiotherapy were enrolled prospectively. Patients had treatment scans and dose calculations to provide a standard dose-volume histogram (DVH). Fusion of SPECT and computed tomography scans provided perfusion-weighted FDVH and associated functional dosimetric parameters (relative volumes of functional lung receiving more than a threshold dose of 5 - 60 Gy at increments of 5 Gy [FV5 - FV60]). The predictive abilities of FDVH and DVH were calculated and compared based on the area under receiver operating characteristic (ROC) curve (AUC).

RESULTS

The accumulative incidence of  ≥  2 grade RILI was 19.3% with a median follow-up of 12 months. Univariate analysis showed that the functional (FV5 - FV60) and standard (V5 - V40) parameters were associated with RILI (all value of p < 0.05). Close correlations between a variety of functional and standard parameters were found. By ROC curve analysis, functional metrics (AUCs were 0.784 - 0.869) provided similarly (p value 0.233 - 1.000) predictive outcome to standard metrics (AUCs were 0.695 - 0.902) in lower - median dose level parameters (FV5 - FV40). However, FDVH seemed to add some predictive value in higher dose level, the best statistical significance for comparing FV60 with V60 was 0.693 vs. 0.511 (p = 0.055).

CONCLUSIONS

Functional metrics are identified as reliable predictors for RILI, however, this observation still needs to be further verified using a larger sample size.

摘要

背景

放射性肺损伤(RILI)是胸部放射治疗的重要剂量限制毒性。本研究旨在探讨单光子发射计算机断层扫描(SPECT)灌注加权功能剂量-体积直方图(FDVH)预测接受根治性放化疗的非小细胞肺癌(NSCLC)患者的 RILI。

方法

前瞻性纳入 57 例接受放化疗的局部晚期 NSCLC 患者。患者进行了治疗扫描和剂量计算,以提供标准剂量-体积直方图(DVH)。SPECT 与计算机断层扫描融合提供灌注加权 FDVH 和相关功能剂量学参数(功能肺的相对体积,在 5-60Gy 每 5Gy 一个增量处接受超过阈值剂量[FV5-FV60])。基于接收者操作特征(ROC)曲线下面积(AUC)计算和比较 FDVH 和 DVH 的预测能力。

结果

≥2 级 RILI 的累积发生率为 19.3%,中位随访时间为 12 个月。单因素分析显示,功能(FV5-FV60)和标准(V5-V40)参数与 RILI 相关(所有 p 值均<0.05)。多种功能和标准参数之间存在密切相关性。通过 ROC 曲线分析,功能指标(AUC 为 0.784-0.869)与标准指标(AUC 为 0.695-0.902)在较低中位剂量水平参数(FV5-FV40)下提供类似(p 值为 0.233-1.000)的预测结果。然而,FDVH 似乎在更高剂量水平下具有一定的预测价值,比较 FV60 与 V60 的最佳统计学意义为 0.693 与 0.511(p=0.055)。

结论

功能指标被确定为 RILI 的可靠预测指标,但这一观察结果仍需要使用更大的样本量进一步验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/00239f5399bc/1748-717X-7-69-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/8f835640cff9/1748-717X-7-69-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/ad26c6da79cc/1748-717X-7-69-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/c4d050841aba/1748-717X-7-69-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/00239f5399bc/1748-717X-7-69-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/8f835640cff9/1748-717X-7-69-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/ad26c6da79cc/1748-717X-7-69-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/c4d050841aba/1748-717X-7-69-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d9/3434088/00239f5399bc/1748-717X-7-69-4.jpg

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