Predicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil. Issue 10 (5th August 2019)

• Record Type: Journal Article
• Authors: Tsai, Chiaojung Jillian; Verma, Nipun; Owosho, Adepitan A.; Hilden, Patrick; Leeman, Jonathan; Yom, SaeHee; Huryn, Joseph M.; Lee, Nancy Y.; Estilo, Cherry L.
• Is Part Of: Head & neck. Volume 41:Issue 10(2019)
• Page Start: 3604
• Page End: 3611
• Publication Date: 2019-08-05
• Subjects: dental complications -- dose modeling -- head and neck cancer -- radiation -- radiotherapy; Head -- Diseases -- Periodicals; Neck -- Diseases -- Periodicals; Head -- Periodicals; Neck -- Periodicals; Face -- Periodicals; 617.51059
• DOI: 10.1002/hed.25883
• Languages: English
• ISSNs: 1043-3074

Abstract

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.