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Published in: BMC Cancer 1/2020

01-12-2020 | Lung Cancer | Study protocol

Pneumonitis after radiotherapy for lung cancer (PARALUC): an interventional study to create a symptom-based scoring system for identification of patients developing radiation pneumonitis

Authors: Dirk Rades, Elisa Marie Werner, Esther Glatzel, Marie-Christine Eggert, Denise Olbrich, Soeren Tvilsted, Sabine Bohnet

Published in: BMC Cancer | Issue 1/2020

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Abstract

Background

Pneumonitis is a possible side effect of radiotherapy for lung cancer. Since it can occur up to several months following treatment, symptoms may not be associated with previous radiotherapy, and pneumonitis can become severe before diagnosed. This study aimed to develop a symptom-based scoring system to contribute to earlier detection of radiation pneumonitis requiring medical intervention (grade ≥ 2).

Methods

Patients irradiated for lung cancer complete a paper-based questionnaire (symptom-based score) during and up to 24 weeks following radiotherapy. Patients rate symptoms potentially associated with pneumonitis, and scoring points are assigned to severity of these symptoms. Sum scores are used to identify radiation pneumonitis. If radiation pneumonitis is suspected, patients undergo standard diagnostic procedures. If grade ≥ 2 pneumonitis is confirmed, medical intervention is indicated. The discriminative power of the score will be assessed by calculating the area under the receiver operating characteristic curve (AUC). If statistical significance of the AUC is reached, the optimal sum score to predict radiation pneumonitis will be established, which is defined as a cut-off value with sensitivity ≥90% and specificity ≥80%. Assuming a ratio between patients without and with pneumonitis of 3.63, a sample size of 93 patients is required in the full analysis set to yield statistical significance at the level of 5% with a power of 90% if the AUC under the alternative hypothesis is at least 0.9. Considering potential drop-outs, 98 patients should be recruited. If > 20% of patients are not satisfied with the score, modification is required. If the dissatisfaction rate is > 40%, the score is considered not useful. In 10 patients, functionality of a mobile application will be tested in addition to the paper-based questionnaire.

Discussion

If an optimal cut-off score resulting in sufficiently high sensitivity and specificity can be identified and the development of a symptom-based scoring system is successful, this tool will contribute to better identification of patients experiencing pneumonitis after radiotherapy for lung cancer.

Trial registration

Clinicaltrials.gov (NCT04335409); registered on 2nd of April, 2020.
Literature
1.
go back to reference Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7–30.CrossRef Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7–30.CrossRef
3.
go back to reference Verma V, Simone CB 2nd, Werner-Wasik M. Acute and late toxicities of concurrent chemoradiotherapy for locally-advanced non-small cell lung cancer. Cancers. 2017;9:E120.CrossRef Verma V, Simone CB 2nd, Werner-Wasik M. Acute and late toxicities of concurrent chemoradiotherapy for locally-advanced non-small cell lung cancer. Cancers. 2017;9:E120.CrossRef
4.
go back to reference Rades D, Glatzel E, Werner EM, Bohnet S. Prevalence and characteristics of symptomatic pneumonitis after radiotherapy of patients with locally advanced lung cancer. Anticancer Res. 2019;39:6909–13.CrossRef Rades D, Glatzel E, Werner EM, Bohnet S. Prevalence and characteristics of symptomatic pneumonitis after radiotherapy of patients with locally advanced lung cancer. Anticancer Res. 2019;39:6909–13.CrossRef
5.
go back to reference Giridhar P, Mallick S, Rath GK, Julka PK. Radiation induced lung injury: prediction, assessment and management. Asian Pac J Cancer Prev. 2015;16:2613–7.CrossRef Giridhar P, Mallick S, Rath GK, Julka PK. Radiation induced lung injury: prediction, assessment and management. Asian Pac J Cancer Prev. 2015;16:2613–7.CrossRef
6.
go back to reference National Institutes of Health/National Cancer Institute. Common terminology criteria for adverse events (CTCAE) version 5.0. Bethesda: National Institutes of Health/National Cancer Institute; 2017. National Institutes of Health/National Cancer Institute. Common terminology criteria for adverse events (CTCAE) version 5.0. Bethesda: National Institutes of Health/National Cancer Institute; 2017.
7.
go back to reference Bentzen SM, Constine LS, Deasy JO, Eisbruch A, Jackson A, Marks LB, Ten Haken RK, Yorke ED. Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S3–9.CrossRef Bentzen SM, Constine LS, Deasy JO, Eisbruch A, Jackson A, Marks LB, Ten Haken RK, Yorke ED. Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S3–9.CrossRef
8.
go back to reference Dang J, Li G, Ma L, Diao R, Zang S, Han C, Zhang S, Yao L. Predictors of grade ≥2 and grade ≥3 radiation pneumonitis in patients with locally advanced non-small cell lung cancer treated with three-dimensional conformal radiotherapy. Acta Oncol. 2013;52:1175–80.CrossRef Dang J, Li G, Ma L, Diao R, Zang S, Han C, Zhang S, Yao L. Predictors of grade ≥2 and grade ≥3 radiation pneumonitis in patients with locally advanced non-small cell lung cancer treated with three-dimensional conformal radiotherapy. Acta Oncol. 2013;52:1175–80.CrossRef
9.
go back to reference Palma DA, Senan S, Tsujino K, Barriger RB, Rengan R, Moreno M, Bradley JD, Kim TH, Ramella S, Marks LB, De Petris L, Stitt L, Rofrigues G. Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: an international individual patient data meta-analysis. Int J Radiat Oncol Biol Phys. 2013;85:444–50.CrossRef Palma DA, Senan S, Tsujino K, Barriger RB, Rengan R, Moreno M, Bradley JD, Kim TH, Ramella S, Marks LB, De Petris L, Stitt L, Rofrigues G. Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: an international individual patient data meta-analysis. Int J Radiat Oncol Biol Phys. 2013;85:444–50.CrossRef
10.
go back to reference Louvel G, Bahleda R, Ammari S, Le Péchoux C, Levy A, Massard C, Le Pavec J, Champiat S, Deutsch E. Immunotherapy and pulmonary toxicities: can concomitant immune-checkpoint inhibitors with radiotherapy increase the risk of radiation pneumonitis? Eur Respir J. 2018;51:1701737.CrossRef Louvel G, Bahleda R, Ammari S, Le Péchoux C, Levy A, Massard C, Le Pavec J, Champiat S, Deutsch E. Immunotherapy and pulmonary toxicities: can concomitant immune-checkpoint inhibitors with radiotherapy increase the risk of radiation pneumonitis? Eur Respir J. 2018;51:1701737.CrossRef
11.
go back to reference Zhang XJ, Sun JG, Sun J, Ming H, Wang XX, Wu L, Chen ZT. Prediction of radiation pneumonitis in lung cancer patients: a systematic review. J Cancer Res Clin Oncol. 2012;138:2103–16.CrossRef Zhang XJ, Sun JG, Sun J, Ming H, Wang XX, Wu L, Chen ZT. Prediction of radiation pneumonitis in lung cancer patients: a systematic review. J Cancer Res Clin Oncol. 2012;138:2103–16.CrossRef
12.
go back to reference Nalbantov G, Kietselaer B, Vandecasteele K, Oberije C, Berbee M, Troost E, Dingemans AM, van Baardwijk A, Smits K, Dekker A, Bussink J, De Ruysscher D, Lievens Y, Lambin P. Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients. Radiother Oncol. 2013;109:100–6.CrossRef Nalbantov G, Kietselaer B, Vandecasteele K, Oberije C, Berbee M, Troost E, Dingemans AM, van Baardwijk A, Smits K, Dekker A, Bussink J, De Ruysscher D, Lievens Y, Lambin P. Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients. Radiother Oncol. 2013;109:100–6.CrossRef
13.
go back to reference Li F, Zhou Z, Wu A, Cai Y, Wu H, Chen M, et al. Preexisting radiological interstitial lung abnormalities are a risk factor for severe radiation pneumonitis in patients with small-cell lung cancer after thoracic radiation therapy. Radiat Oncol. 2018;13:82.CrossRef Li F, Zhou Z, Wu A, Cai Y, Wu H, Chen M, et al. Preexisting radiological interstitial lung abnormalities are a risk factor for severe radiation pneumonitis in patients with small-cell lung cancer after thoracic radiation therapy. Radiat Oncol. 2018;13:82.CrossRef
14.
go back to reference Torre-Bouscoulet L, Munoz-Montano WR, Martínez-Briseno D, Lozano-Ruiz FJ, Fernandez-Plata R, Beck-Magana JA, Garcia-Sancho C, Guzman-Barragan A, Vergara E, Blake-Cerda M, Gochicoa-Rangel L, Maldonado F, Arroyo-Hernandez M, Arrieta O. Abnormal pulmonary function tests predict the development of radiation-induced pneumonitis in advanced non-small cell lung cancer. Respir Res. 2018;19:72.CrossRef Torre-Bouscoulet L, Munoz-Montano WR, Martínez-Briseno D, Lozano-Ruiz FJ, Fernandez-Plata R, Beck-Magana JA, Garcia-Sancho C, Guzman-Barragan A, Vergara E, Blake-Cerda M, Gochicoa-Rangel L, Maldonado F, Arroyo-Hernandez M, Arrieta O. Abnormal pulmonary function tests predict the development of radiation-induced pneumonitis in advanced non-small cell lung cancer. Respir Res. 2018;19:72.CrossRef
15.
go back to reference National Institutes of Health/National Cancer Institute. Common terminology criteria for adverse events (CTCAE) version 3.0. Bethesda: National Institutes of Health/National Cancer Institute; 2006. National Institutes of Health/National Cancer Institute. Common terminology criteria for adverse events (CTCAE) version 3.0. Bethesda: National Institutes of Health/National Cancer Institute; 2006.
16.
go back to reference Choi YW, Munden RF, Erasmus JJ, Park KJ, Chung WK, Jeon SC, Park CK. Effects of radiation therapy on the lung: radiologic appearances and differential diagnosis. Radiographics. 2004;24:985–97.CrossRef Choi YW, Munden RF, Erasmus JJ, Park KJ, Chung WK, Jeon SC, Park CK. Effects of radiation therapy on the lung: radiologic appearances and differential diagnosis. Radiographics. 2004;24:985–97.CrossRef
17.
go back to reference Larici AR, del Ciello A, Maggi F, Santoro SI, Meduri B, Valentini V, Giordano A, Bonomo L. Lung abnormalities at multimodality imaging after radiation therapy for non-small cell lung cancer. Radiographics. 2011;31:771–89.CrossRef Larici AR, del Ciello A, Maggi F, Santoro SI, Meduri B, Valentini V, Giordano A, Bonomo L. Lung abnormalities at multimodality imaging after radiation therapy for non-small cell lung cancer. Radiographics. 2011;31:771–89.CrossRef
18.
go back to reference Bradley J, Movsas B. Radiation pneumonitis and esophagitis in thoracic irradiation. Cancer Treat Res. 2006;128:43–64.CrossRef Bradley J, Movsas B. Radiation pneumonitis and esophagitis in thoracic irradiation. Cancer Treat Res. 2006;128:43–64.CrossRef
19.
go back to reference Schrepp M, Hinderks A, Thomaschewski J. Applying the user experience questionnaire (UEQ) in different evaluation scenarios. In: Marcus A, editor. Design, user experience, and usability. Theories, methods, and tools for designing the user experience. Lecture notes in computer science, volume 8517. New York City: Springer International Publishing; 2014. p. 383–92.CrossRef Schrepp M, Hinderks A, Thomaschewski J. Applying the user experience questionnaire (UEQ) in different evaluation scenarios. In: Marcus A, editor. Design, user experience, and usability. Theories, methods, and tools for designing the user experience. Lecture notes in computer science, volume 8517. New York City: Springer International Publishing; 2014. p. 383–92.CrossRef
20.
go back to reference DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.CrossRef DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.CrossRef
21.
go back to reference Inoue A, Kunitoh H, Sekine I, Sumi M, Tokuuye K, Saijo N. Radiation pneumonitis in lung cancer patients: a retrospective study of risk factors and the long-term prognosis. Int J Radiat Oncol Biol Phys. 2001;49:649–55.CrossRef Inoue A, Kunitoh H, Sekine I, Sumi M, Tokuuye K, Saijo N. Radiation pneumonitis in lung cancer patients: a retrospective study of risk factors and the long-term prognosis. Int J Radiat Oncol Biol Phys. 2001;49:649–55.CrossRef
22.
go back to reference Basch E, Reeve BB, Mitchell SA, Clauser SB, Minasian LM, Dueck AC, et al. Development of the National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). J Natl Cancer Inst. 2014;106:dju244.CrossRef Basch E, Reeve BB, Mitchell SA, Clauser SB, Minasian LM, Dueck AC, et al. Development of the National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). J Natl Cancer Inst. 2014;106:dju244.CrossRef
23.
go back to reference Hagelstein V, Ortland I, Wilmer A, Mitchell SA, Jaehde U. Validation of the German patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™). Ann Oncol. 2016;27:2294–9.CrossRef Hagelstein V, Ortland I, Wilmer A, Mitchell SA, Jaehde U. Validation of the German patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™). Ann Oncol. 2016;27:2294–9.CrossRef
Metadata
Title
Pneumonitis after radiotherapy for lung cancer (PARALUC): an interventional study to create a symptom-based scoring system for identification of patients developing radiation pneumonitis
Authors
Dirk Rades
Elisa Marie Werner
Esther Glatzel
Marie-Christine Eggert
Denise Olbrich
Soeren Tvilsted
Sabine Bohnet
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2020
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-020-07291-5

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