Predicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil.

TitlePredicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil.
Publication TypeJournal Article
Year of Publication2019
AuthorsTsai CJillian, Verma N, Owosho AA, Hilden P, Leeman J, Yom SH, Huryn JM, Lee NY, Estilo CL
JournalHead Neck
Volume41
Issue10
Pagination3604-3611
Date Published2019 Oct
ISSN1097-0347
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.

DOI10.1002/hed.25883
Alternate JournalHead Neck
PubMed ID31379059
Grant ListR01CA129182 / / National Institute of Health (NIH) /
P30 CA008748 / CA / NCI NIH HHS / United States
P30 CA008748 / CA / NCI NIH HHS / United States

Person Type: