Dhami Gurleen, Zeng Jing, Vesselle Hubert J, Kinahan Paul E, Miyaoka Robert S, Patel Shilpen A, Rengan Ramesh, Bowen Stephen R
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.
Strahlenther Onkol. 2017 May;193(5):410-418. doi: 10.1007/s00066-017-1114-0. Epub 2017 Mar 2.
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.
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).
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.
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.
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。
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)。
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。
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。