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Meta-Analysis
. 2018 Dec 6;13(12):e0208637.
doi: 10.1371/journal.pone.0208637. eCollection 2018.

Evaluating risk factors of radiation pneumonitis after stereotactic body radiation therapy in lung tumor: Meta-analysis of 9 observational studies

Chi Lu  1   2 , Zhang Lei  1   2 , Hongbin Wu  1   2 , Hongda Lu  1   2
Affiliations
Meta-Analysis

Evaluating risk factors of radiation pneumonitis after stereotactic body radiation therapy in lung tumor: Meta-analysis of 9 observational studies

Chi Lu et al. PLoS One. .

Abstract

Background: In this study, we assessed the association of SBRT (stereotactic body radiotherapy) dose and volume with radiation pneumonitis (RP) risk in lung tumor.

Methods: Relevant articles were identified up to April 2018, using following databases; Medline, EMBASE, Cochrane Library, and China National Knowledge Infrastructure (CNKI). The pooled OR (odds ratio) with 95% CI (confidence interval) data [mean ± SD (standard deviation)] obtained from different studies was analyzed by statistical analysis using a fixed-effects model or a random-effects model when appropriate.

Results: The analysis was based on nine observational studies, which were identified based on the study selection criteria. Between RP and non-RP patients, no difference was observed based on age, but significant differences were observed based on planning target volume (PTV), mean ipsilateral lung dose (MLD), total MLD, and V5, V10, V20 and V40 (the percentage of lung volume exceeding 5, 10, 20 and 40 Gy). In addition, PTV >145 cm3, total MLD ≥4.7 Gy, V5 ≥26.8%, V10 >12% and V20 ≥5.8 were associated with RP risk. Overall, the grade assessments of V5 and V20 revealed moderate quality evidence.

Conclusion: The present study indicated V5 and V20 as major risk factors for RP after SBRT treatment in lung tumor. In addition, it was observed that lung DVH (Dose Volume Histogram) patterns should be assessed more carefully, while predicting RP incidence after SBRT.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. PRISMA flow chart depicting the study selection process.
Fig 2
Fig 2. Forest plots representing the association between clinical, dose-volume factors and risk of RP ≥grade 2.
The comparison between RP and non-RP patients is shown based on the following factors: age (panel A), PTV average value (panel B), MLD average value (panel C), total MLD average value (panel D), V5 average value (panel E), V10 average value (panel F), V20 average value (panel G), V40 average value (panel H).
Fig 3
Fig 3. Forest plots representing the association between optimal cut-off values and risk risk of RP ≥grade 2.
The optimal cut-off values are shown: PTV>145cc (panel A), total MLD ≥4.70 Gy (panel B), V5 ≥26.80% (panel C), V10 >12% (panel D), and V20 ≥5.80% (panel E).
See this image and copyright information in PMC

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