Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2018 May-Jun;8(3):167-173.
doi: 10.1016/j.prro.2017.07.010. Epub 2017 Jul 19.

Dosimetric predictors for acute esophagitis during radiation therapy for lung cancer: Results of a large statewide observational study

Affiliations
Observational Study

Dosimetric predictors for acute esophagitis during radiation therapy for lung cancer: Results of a large statewide observational study

Peter Paximadis et al. Pract Radiat Oncol. 2018 May-Jun.

Abstract

Purpose: The purpose of this study is to identify dosimetric variables that best predict for acute esophagitis in patients treated for locally advanced non-small cell lung cancer in a prospectively accrued statewide consortium.

Methods and materials: Patients receiving definitive radiation therapy for stage II-III non-small cell lung cancer within the Michigan Radiation Oncology Quality Consortium were included in the analysis. Dose-volume histogram data were analyzed to determine absolute volumes (cc) receiving doses from 10 to 60 Gy (V10, V20, V30, V40, V50, and V60), as well as maximum dose to 2 cc (D2cc), mean dose (MD), and generalized equivalent uniform dose (gEUD). Logistic regression models were used to characterize the risk of toxicity as a function of dose and other covariates. The ability of each variable to predict esophagitis, individually or in a multivariate model, was quantified by receiver operating characteristic analysis.

Results: There were 533 patients who met study criteria and were included; 437 (81.9%) developed any grade of esophagitis. Significant variables on univariate analysis for grade ≥2 esophagitis were concurrent chemotherapy, V20, V30, V40, V50, V60, MD, D2cc, and gEUD. For grade ≥3 esophagitis, the predictive variables were: V30, V40, V50, V60, MD, D2cc, and gEUD. In multivariable modeling, gEUD was the most significant predictor of both grade ≥2 and grade ≥3 esophagitis. When gEUD was excluded from the model, D2cc was selected as the most predictive variable for grade ≥3 esophagitis. For an estimated risk of grade ≥3 esophagitis of 5%, the threshold values for gEUD and D2cc were 59.3 Gy and 68 Gy, respectively.

Conclusions: In this study, we report the novel finding that gEUD and D2cc, rather than MD, were the most predictive dose metrics for severe esophagitis. To limit the estimated risk of grade ≥3 esophagitis to <5%, thresholds of 59.3 Gy and 68 Gy were identified for gEUD and D2cc, respectively.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Logistic and nonparametric estimates of risk of grade ≥2 (green) and grade ≥3 (black) esophagitis as a function of generalized equivalent uniform dose (gEUD). A horizontal line is drawn at an estimated risk of 5% and intersects the grade ≥3 curve at gEUD = 59.3 Gy. CL, confidence limit.
Figure 2
Figure 2
Logistic and nonparametric estimates of risk of grade ≥2 (green) and grade ≥3 (black) esophagitis as a function of maximum dose of 2cc (D2cc). A horizontal line is drawn at an estimated risk of 5% and intersects the grade ≥3 curve at D2cc = 68 Gy.

Similar articles

Cited by

References

    1. Curran WJ Jr, Paulus R, Langer CJ, et al. Sequential vs. concurrent chcmoradiation for stage III non-small cell lung cancer: Randomized phase III trial RTOG 9410. J Natl Cancer Inst. 2011; 103:1452–1460. - PMC - PubMed
    1. Bradley JD. Paulus R, Komaki, et al. Standard-dose versus high-dose conformal radiotherapy with concurrent and consolidation carbo-platin plus paclitaxcl with or without cetuximab for patients with stage IIIA or IIIB non-small-cell lung cancer (RTOG 0617): A randomised, two-by-two factorial phase 3 study. Lancet Oncol. 2015;16:187–199. - PMC - PubMed
    1. Marks LB, Yorke ED, Jackson A, et al. Use of normal tissue complication probability models in the clinic. Int J Radiat Oncol Biol Phys. 2010;76:S10–S19. - PMC - PubMed
    1. Palma DA, Senan S, Oberjie C, et al. Predicting esophagitis after chcmoradiation therapy for non-small cell lung cancer: An individual patient data meta-analysis. Int J Radiat Oncol Biol Phys. 2013;87: 690–696. - PubMed
    1. Moran JM, Feng M, Benedetti L, et al. Development of a model web-based system to support a statewide quality consortium in radiation oncology. Pract Radiat Oncol. 2017;7:e205–e213. - PubMed

Publication types