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Predicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil
- Source :
- Head Neck
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
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.
- Subjects :
- Male
Molar
Databases, Factual
medicine.medical_treatment
Mean squared prediction error
Tonsillar Neoplasms
Radiation
Risk Assessment
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
stomatognathic system
Predictive Value of Tests
medicine
Humans
Basal cell
In patient
Radiation Injuries
Radiometry
Aged
Retrospective Studies
business.industry
Head and neck cancer
Reproducibility of Results
Dose-Response Relationship, Radiation
Radiotherapy Dosage
Middle Aged
medicine.disease
Radiation therapy
Treatment Outcome
medicine.anatomical_structure
Jaw
Otorhinolaryngology
030220 oncology & carcinogenesis
Tonsil
Carcinoma, Squamous Cell
Female
Radiotherapy, Conformal
business
Nuclear medicine
Subjects
Details
- ISSN :
- 10970347 and 10433074
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Head & Neck
- Accession number :
- edsair.doi.dedup.....e4335716e44450055275cd80b3e91aa7