Predicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil Journal Article
| Authors: | Tsai, C. J.; Verma, N.; Owosho, A. A.; Hilden, P.; Leeman, J.; Yom, S.; Huryn, J. M.; Lee, N. Y.; Estilo, C. L. |
| Article Title: | Predicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil |
| Abstract: | Background: Radiotherapy (RT), the main treatment for patients with head and neck cancer, can lead to dental complications. Methods: We identified 244 patients with squamous cell carcinoma of the tonsil treated with RT from 2004 to 2013. For each patient, we contoured the 10 tooth-bearing regions and calculated the radiation dose (gray, Gy) to each region. From this data set, we built two predictive models to determine the expected maximum radiation dose, one for the non-molar regions and another for the molar regions. Results: For the non-molars, the final model included location, T-classification, and overall stage, with a median absolute prediction error of 7.0 Gy. For the molars, the final model included location, T-classification, overall stage, and treatment year, with a median absolute error of 6.0 Gy. Conclusions: Our current model offers a good estimation of the maximum radiation dose delivered to different regions of the jaw; future work will independently validate these models. © 2019 Wiley Periodicals, Inc. |
| Keywords: | squamous cell carcinoma; cancer radiotherapy; radiation dose; cancer staging; radiation; radiotherapy; retrospective study; head and neck cancer; dosimetry; cancer classification; predictive value; tonsil; human; priority journal; article; dental complications; dose modeling |
| Journal Title: | Head & Neck |
| Volume: | 41 |
| Issue: | 10 |
| ISSN: | 1043-3074 |
| Publisher: | John Wiley & Sons, Inc. |
| Date Published: | 2019-10-01 |
| Start Page: | 3604 |
| End Page: | 3611 |
| Language: | English |
| DOI: | 10.1002/hed.25883 |
| PUBMED: | 31379059 |
| PROVIDER: | scopus |
| PMCID: | PMC7549841 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 1 November 2019 -- Source: Scopus |
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