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Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: an international individual patient data meta-analysis.

TLDR
Several treatment-related risk factors predict the development of symptomatic pneumonitis, and elderly patients who undergo CCRT with carboplatin-paclitaxel chemotherapy are at highest risk.
Abstract
Background Radiation pneumonitis is a dose-limiting toxicity for patients undergoing concurrent chemoradiation therapy (CCRT) for non-small cell lung cancer (NSCLC). We performed an individual patient data meta-analysis to determine factors predictive of clinically significant pneumonitis. Methods and Materials After a systematic review of the literature, data were obtained on 836 patients who underwent CCRT in Europe, North America, and Asia. Patients were randomly divided into training and validation sets (two-thirds vs one-third of patients). Factors predictive of symptomatic pneumonitis (grade ≥2 by 1 of several scoring systems) or fatal pneumonitis were evaluated using logistic regression. Recursive partitioning analysis (RPA) was used to define risk groups. Results The median radiation therapy dose was 60 Gy, and the median follow-up time was 2.3 years. Most patients received concurrent cisplatin/etoposide (38%) or carboplatin/paclitaxel (26%). The overall rate of symptomatic pneumonitis was 29.8% (n=249), with fatal pneumonitis in 1.9% (n=16). In the training set, factors predictive of symptomatic pneumonitis were lung volume receiving ≥20 Gy (V 20 ) (odds ratio [OR] 1.03 per 1% increase, P =.008), and carboplatin/paclitaxel chemotherapy (OR 3.33, P P =.09); the model remained predictive in the validation set with good discrimination in both datasets (c-statistic >0.65). On RPA, the highest risk of pneumonitis (>50%) was in patients >65 years of age receiving carboplatin/paclitaxel. Predictors of fatal pneumonitis were daily dose >2 Gy, V 20 , and lower-lobe tumor location. Conclusions Several treatment-related risk factors predict the development of symptomatic pneumonitis, and elderly patients who undergo CCRT with carboplatin-paclitaxel chemotherapy are at highest risk. Fatal pneumonitis, although uncommon, is related to dosimetric factors and tumor location.

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Predictive SNPs for radiation-induced damage in lung cancer patients with radiotherapy: a potential strategy to individualize treatment:

TL;DR: The data is summarized supporting the involvement of variances of genes in the evolution of radiation-induced damage and the available evidence from current clinical studies of genetic polymorphisms for the prediction of radiation pneumonitis and radiation- induced esophageal toxicity.
Journal ArticleDOI

Development and internal validation of a multinomial NTCP model for the severity of acute dyspnea after radiotherapy for lung cancer.

TL;DR: Dyspnea grade could be predicted with high accuracy using a multinomial NTCP model, yielding personalized dyspnea symptom improvement and deterioration risks.
Journal ArticleDOI

DART-bid for loco-regionally advanced NSCLC : Summary of acute and late toxicity with long-term follow-up; experiences with pulmonary dose constraints.

TL;DR: In this paper, the authors report acute and late toxicity with long-term follow-up, and to describe their experiences with pulmonary dose constraints, and describe their own experiences with lung dose constraints.
References
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Journal ArticleDOI

Prediction of radiation pneumonitis by dose - volume histogram parameters in lung cancer--a systematic review.

TL;DR: An association between DVH parameters and RP risk has been demonstrated in the literature, but the ideal DVH metric with excellent operating characteristics, either alone or in a model with other predictive variables, for RP risk prediction has not yet been identified.
Journal ArticleDOI

Predictive value of dose-volume histogram parameters for predicting radiation pneumonitis after concurrent chemoradiation for lung cancer

TL;DR: The incidence and grade of RP are significantly related to the V20 value, and V20 appears to be a factor that can be used to predict RP after concurrent chemoradiation for lung cancer.
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