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Validation and optimization of a predictive model for radiation pneumonitis in patients with lung cancer
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Experimental and Clinical Oncology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning i Sörmland (CKFD). Malarsjukhuset, Dept Oncol, 34 Kungsvagen, SE-63188 Eskilstuna, Sweden..
Malarsjukhuset, Dept Pulm Med, SE-63188 Eskilstuna, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Infectious Diseases. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning i Sörmland (CKFD). Karolinska Inst, Karolinska Univ Hosp Huddinge, Dept Anesthesia Surg Serv & Intens Care, SE-17176 Stockholm, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Experimental and Clinical Oncology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning i Sörmland (CKFD). Malarsjukhuset, Dept Oncol, 34 Kungsvagen, SE-63188 Eskilstuna, Sweden..
2016 (English)In: Oncology Letters, ISSN 1792-1074, E-ISSN 1792-1082, Vol. 12, no 2, 1144-1148 p.Article in journal (Refereed) PublishedText
Abstract [en]

The aim of the current retrospective study was to validate a predictive model for radiation pneumonitis (STRIPE) in an independent dataset and to investigate whether the addition of other potential risk factors could strengthen the accuracy of the model. Consecutive patients with non-small cell lung carcinoma (NSCLC; n=71) treated with definitive concurrent chemotherapy and radiotherapy were retrospectively assessed for radiation pneumonitis (RP). The results identified that 16 (23%) patients developed grade >= 2 RP. Furthermore, STRIPE score (intermediate vs. low risk) was independently associated with the development of RP [odds ratio (OR), 3.72; 95% confidence interval (CI), 1.00-13.89], whereas current smoking status was found to be protective against RP (OR, 0.09; 95% CI, 0.01-0.78). Similar discriminatory power of the STRIPE score was observed as in the original study. The addition of smoking status strengthened the model's discriminatory ability to predict RP. Thus, the addition of smoking status as a risk factor may strengthen the accuracy of the model for predicting RP in patients with NSCLC.

Place, publisher, year, edition, pages
2016. Vol. 12, no 2, 1144-1148 p.
Keyword [en]
non-small cell lung cancer, radiation pneumonitis, radiotherapy, concurrent chemoradiation therapy
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:uu:diva-301419DOI: 10.3892/ol.2016.4678ISI: 000379982500060OAI: oai:DiVA.org:uu-301419DiVA: diva2:954628
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2016-08-23Bibliographically approved

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Mörth, CharlottCastegren, MarkusValachis, Antonios
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Experimental and Clinical OncologyCentrum för klinisk forskning i Sörmland (CKFD)Infectious Diseases
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