Predictive factors for radiation-induced pulmonary toxicity after three-dimensional conformal chemoradiation in locally advanced non-small-cell lung cancer

Moreno, Marta; Aristu, Javier; Ramos, Luís; Arbea, Leire; López-Picazo, José M.; Cambeiro, Mauricio; Martı́nez-Monge, Rafael

doi:10.1007/s12094-007-0109-1

Cited by 20 publications

(12 citation statements)

References 58 publications

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“…Including these parameters (MLD, V 5 , V 13 , V 20 , and V 40 ) in a multivariate logistic regression analysis revealed that only the MLD was significantly associated with RP (data not shown). However, these data should be interpreted with caution since it is known from studies with conventional fractionated RT evaluating clinical and dose factors predicting RP that there is a large heterogeneity of results (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32), whereby no validation was performed. One collaborative study from Duke University and The Netherlands Cancer Institute developed a prospective method to predict RP from dose and clinical parameters in one group of patients, but validation failed in another group of patients (33).…”

Section: Discussionmentioning

confidence: 99%

Radiation Pneumonitis After Hypofractionated Radiotherapy: Evaluation of the LQ(L) Model and Different Dose Parameters

Borst

Ishikawa

Nijkamp

et al. 2010

International Journal of Radiation Oncology*Biology*Physics

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Section: Discussionmentioning

confidence: 99%

Radiation Pneumonitis After Hypofractionated Radiotherapy: Evaluation of the LQ(L) Model and Different Dose Parameters

Borst

Ishikawa

Nijkamp

et al. 2010

International Journal of Radiation Oncology*Biology*Physics

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“…Videtic et al found low DLCO (<60% predicted) to be significantly associated with more treatment breaks and worse survival in a study of patients treated with radiation therapy for small-cell lung cancer [21] . Other studies have also identified Karnofsky performance status, FEV1, and a diagnosis of COPD as significant factors in predicting RILI risk and other treatment-related complications [8,22] .…”

Section: Discussionmentioning

confidence: 99%

“…A number of predictive models have been posited to ascertain which patients are likely to develop RILI given similar radiation doses and treatment parameters [2][3][4][5][6][7][8][9][10][11][12][13][14] .…”

mentioning

confidence: 99%

The relationship between pulmonary function metrics and radiation-induced lung injury

Linam

Madtes

Chow

et al. 2012

JST

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Introduction: Radiation-induced lung injury (RILI) is a potentially fatal yet incompletely understood complication following radiation therapy. Models have been posited to predict RILI risk but have produced inconsistent results. Here we evaluate pulmonary function testing (PFT) metrics vs. RILI incidence with the hope of establishing clinical thresholds for RILI risk. Methods:Our study population consisted of adult patients who completed conventionally-fractionated, definitive external beam RT for non-small cell lung cancer in a five-year period (January 1, 2006 to December 31, 2010). All patients were treated by a single radiation oncologist with identical technique, with dose prescriptions ranging from 50.4-74.4 Gray. We collected demographic and treatment variables, pre-radiation PFT values, and ≥ grade III RILI events.Results: There were 62 patients in our dataset. RILI occurred in 6 patients. No significant associations were seen between age, radiation dose, and the use of chemotherapy vs. the development of RILI. Tukey's plots were constructed for PFT parameters and showed no significant differences in PFT values (absolute or percent of predicted) among RILI vs. non-RILI patients. Conclusions:Our study compared pulmonary function parameters and other variables versus the development of RILI in patients treated for non-small cell lung cancer by a single radiation oncologist. We found no correlation between PFT values and risk of RILI. More research is needed to understand better the risks of RILI and to develop a clinically-useful and consistent model for RILI prediction.

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“…In adults and children, predisposing factors may effect the risk of pneumonitis and fibrosis (e.g. smoking and related chronic emphysema, pneumonia, asthma) (1,2,3). These predisposing factors and the context of RT (e.g.…”

Section: Specific Examples Of Late Effectsmentioning

confidence: 99%

“…In non-smokers age > 59 years receiving RT for breast cancer, the risk of RP was elevated (15). Active smoking has been implicated by others to provide a slight protective benefit, possibly related to immune suppression (1). In 606 patients with breast and esophageal carcinoma, the incidence of RP for smokers compared to non-smokers was 0.4% vs. 3.6% (p=0.022) (16).…”

Section: Specific Examples Of Late Effectsmentioning

confidence: 99%

Radiation-Related Treatment Effects Across the Age Spectrum: Differences and Similarities or What the Old and Young Can Learn from Each Other

Krasin

Constine

Friedman³

et al. 2010

Seminars in Radiation Oncology

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Radiation related effects in children and adults limit the delivery of effective radiation doses and result in long-term morbidity affecting function and quality of life. Improvements in our understanding of the etiology and biology of these effects, including the influence of clinical variables, dosimetric factors, and the underlying biologic processes has made treatment safer and more efficacious. However, the approach to studying and understanding these effects differs between children and adults. By using the pulmonary and skeletal organ systems as examples, comparisons are made across the age spectrum for radiation related effects including pneumonitis, pulmonary fibrosis, osteonecrosis and fracture. Methods for dosimetric analysis, incorporation of imaging and biology as well a length of follow-up are compared, contrasted and discussed for both organ systems in children and adults. Better understanding of each age specific approach and how it differs may improve our ability to study late effects of radiation across the ages

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Predictive factors for radiation-induced pulmonary toxicity after three-dimensional conformal chemoradiation in locally advanced non-small-cell lung cancer

Abstract: COPD and NTCP are predictive of severe RP. Careful medical evaluation and meticulous treatment planning are of paramount importance to decrease the incidence of severe RP.

Cited by 20 publications

References 58 publications

Radiation Pneumonitis After Hypofractionated Radiotherapy: Evaluation of the LQ(L) Model and Different Dose Parameters

Radiation Pneumonitis After Hypofractionated Radiotherapy: Evaluation of the LQ(L) Model and Different Dose Parameters

The relationship between pulmonary function metrics and radiation-induced lung injury

Radiation-Related Treatment Effects Across the Age Spectrum: Differences and Similarities or What the Old and Young Can Learn from Each Other

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