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本文引用的文献

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Pre-treatment non-target lung FDG-PET uptake predicts symptomatic radiation pneumonitis following Stereotactic Ablative Radiotherapy (SABR).治疗前非靶区肺组织的氟代脱氧葡萄糖正电子发射断层扫描(FDG-PET)摄取情况可预测立体定向消融放疗(SABR)后放射性肺炎的症状。
Radiother Oncol. 2016 Jun;119(3):454-60. doi: 10.1016/j.radonc.2016.05.007. Epub 2016 Jun 3.
2
Changes in pulmonary function after definitive radiotherapy for NSCLC.非小细胞肺癌根治性放疗后肺功能的变化
Radiother Oncol. 2015 Oct;117(1):23-8. doi: 10.1016/j.radonc.2015.09.029. Epub 2015 Oct 8.
3
Inclusion of functional information from perfusion SPECT improves predictive value of dose-volume parameters in lung toxicity outcome after radiotherapy for non-small cell lung cancer: A prospective study.纳入灌注单光子发射计算机断层扫描的功能信息可提高非小细胞肺癌放疗后肺毒性结局中剂量体积参数的预测价值:一项前瞻性研究。
Radiother Oncol. 2015 Oct;117(1):9-16. doi: 10.1016/j.radonc.2015.08.005. Epub 2015 Aug 21.
4
Loss of lung function after chemo-radiotherapy for NSCLC measured by perfusion SPECT/CT: Correlation with radiation dose and clinical morbidity.通过灌注SPECT/CT测量的非小细胞肺癌放化疗后肺功能丧失:与辐射剂量和临床发病率的相关性
Acta Oncol. 2015;54(9):1350-4. doi: 10.3109/0284186X.2015.1061695. Epub 2015 Jul 23.
5
Role of perfusion SPECT in prediction and measurement of pulmonary complications after radiotherapy for lung cancer.灌注单光子发射计算机断层扫描在肺癌放疗后肺部并发症预测及测量中的作用
Eur J Nucl Med Mol Imaging. 2015 Jul;42(8):1315-24. doi: 10.1007/s00259-015-3052-3. Epub 2015 Apr 11.
6
Ga-68 MAA Perfusion 4D-PET/CT Scanning Allows for Functional Lung Avoidance Using Conformal Radiation Therapy Planning.镓-68微球灌注4D-PET/CT扫描可通过适形放射治疗计划实现功能性肺避让。
Technol Cancer Res Treat. 2016 Feb;15(1):114-21. doi: 10.1177/1533034614565534. Epub 2015 Jan 9.
7
SPECT-based functional lung imaging for the prediction of radiation pneumonitis: a clinical and dosimetric correlation.基于单光子发射计算机断层扫描(SPECT)的功能性肺成像预测放射性肺炎:临床与剂量学相关性研究
J Med Imaging Radiat Oncol. 2014 Apr;58(2):214-22. doi: 10.1111/1754-9485.12145. Epub 2013 Dec 25.
8
Quantitative SPECT/CT: SPECT joins PET as a quantitative imaging modality.定量 SPECT/CT:SPECT 与 PET 一起成为定量成像方式。
Eur J Nucl Med Mol Imaging. 2014 May;41 Suppl 1:S17-25. doi: 10.1007/s00259-013-2542-4. Epub 2013 Sep 14.
9
An evidence-based review of quantitative SPECT imaging and potential clinical applications.基于证据的定量 SPECT 成像及其潜在临床应用的综述。
J Nucl Med. 2013 Jan;54(1):83-9. doi: 10.2967/jnumed.112.111476.
10
Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: an international individual patient data meta-analysis.预测肺癌放化疗后放射性肺炎:国际个体患者数据分析荟萃分析。
Int J Radiat Oncol Biol Phys. 2013 Feb 1;85(2):444-50. doi: 10.1016/j.ijrobp.2012.04.043. Epub 2012 Jun 9.

基于解剖学和灌注肺剂量测定的放射性肺炎风险分层框架。

Framework for radiation pneumonitis risk stratification based on anatomic and perfused lung dosimetry.

作者信息

Dhami Gurleen, Zeng Jing, Vesselle Hubert J, Kinahan Paul E, Miyaoka Robert S, Patel Shilpen A, Rengan Ramesh, Bowen Stephen R

机构信息

Department of Radiation Oncology, University of Washington School of Medicine, 98195, Seattle, WA, USA.

Department of Radiology, University of Washington School of Medicine, 98195, Seattle, WA, USA.

出版信息

Strahlenther Onkol. 2017 May;193(5):410-418. doi: 10.1007/s00066-017-1114-0. Epub 2017 Mar 2.

DOI:10.1007/s00066-017-1114-0
PMID:28255667
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5406240/
Abstract

PURPOSE

To design and apply a framework for predicting symptomatic radiation pneumonitis in patients undergoing thoracic radiation, using both pretreatment anatomic and perfused lung dose-volume parameters.

MATERIALS AND METHODS

Radiation treatment planning CT scans were coregistered with pretreatment [Tc]MAA perfusion SPECT/CT scans of 20 patients who underwent definitive thoracic radiation. Clinical radiation pneumonitis was defined as grade ≥ 2 (CTCAE v4 grading system). Anatomic lung dose-volume parameters were collected from the treatment planning scans. Perfusion dose-volume parameters were calculated from pretreatment SPECT/CT scans. Equivalent doses in 2 Gy per fraction were calculated in the lung to account for differences in treatment regimens and spatial variations in lung dose (EQD2).

RESULTS

Anatomic lung dosimetric parameters (MLD) and functional lung dosimetric parameters (pMLD) were identified as candidate predictors of grade ≥ 2 radiation pneumonitis (AUC > 0.93, p < 0.01). Pairing of an anatomic and functional dosimetric parameter (e. g., MLD and pMLD) may further improve prediction accuracy. Not all individuals with high anatomic lung dose (MLD > 13.6 GyEQD2, 19.3 Gy for patients receiving 60 Gy in 30 fractions) developed radiation pneumonitis, but all individuals who also had high mean dose to perfused lung (pMLD > 13.3 GyEQD2) developed radiation pneumonitis.

CONCLUSIONS

The preliminary application of this framework revealed differences between anatomic and perfused lung dosimetry in this limited patient cohort. The addition of perfused lung parameters may help risk stratify patients for radiation pneumonitis, especially in treatment plans with high anatomic mean lung dose. Further investigations are warranted.

摘要

目的

设计并应用一个框架,利用治疗前的解剖学和灌注肺剂量体积参数预测接受胸部放疗患者的症状性放射性肺炎。

材料与方法

对20例接受根治性胸部放疗患者的放疗计划CT扫描与治疗前[锝]标记的大聚合白蛋白(MAA)灌注单光子发射计算机断层扫描/CT扫描进行配准。临床放射性肺炎定义为≥2级(CTCAE v4分级系统)。从治疗计划扫描中收集解剖学肺剂量体积参数。从治疗前SPECT/CT扫描中计算灌注剂量体积参数。计算肺内每分次2 Gy的等效剂量,以考虑治疗方案差异和肺剂量的空间变化(EQD2)。

结果

解剖学肺剂量学参数(平均肺剂量,MLD)和功能性肺剂量学参数(灌注平均肺剂量,pMLD)被确定为≥2级放射性肺炎的候选预测指标(曲线下面积[AUC]>0.93,P<0.01)。解剖学和功能性剂量学参数配对(例如,MLD和pMLD)可能进一步提高预测准确性。并非所有解剖学肺剂量高的个体(MLD>13.6 GyEQD2,接受30次分割共60 Gy照射的患者为19.3 Gy)都会发生放射性肺炎,但所有灌注肺平均剂量也高的个体(pMLD>13.3 GyEQD2)都会发生放射性肺炎。

结论

该框架的初步应用揭示了在这个有限患者队列中解剖学肺剂量测定和灌注肺剂量测定之间的差异。增加灌注肺参数可能有助于对放射性肺炎患者进行风险分层,尤其是在解剖学平均肺剂量高的治疗计划中。有必要进行进一步研究。