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- Title
DOSIMETRIC PREDICTIVE MODEL FOR ESOPHAGITIS INDUCED FROM RADIOTHERAPY OF LUNG CANCER PATIENTS.
- Authors
Rui He; Hamadain, Elgenaid; Benghuzzi, Hamed; Packianathan, Satya; Kanakamedal, Madhava R.; Tucci, Michelle; Vijayakumar, Srinivasan; Claus Chunli Yang
- Abstract
Purpose: To establish a predictive model for the incidence of esophagitis for lung cancer patients treated with radiotherapy. Methods and Materials: 139 treatment charts of lung cancer patients treated with radiation therapy or combined chemo-radiotherapy from January 01, 2014 to June 30, 2017 at University of Mississippi Radiation Oncology were retrospectively reviewed. Mean esophagus dose (MED) and the endpoints of esophagitis grade 1 and 2 based on Radiation Therapy Oncology Group (RTOG) definitions were derived from the Pinnacle treatment planning system (TPS) and the EPIC electronic medical record (EMR) system, respectively. Binary logistic regression and Probit statistical analysis were used to determine the relationship between the probability of grade 1 and 2 esophagitis with the mean esophagus dose. Results and Conclusions: The regression model of the incidence of grade 1 and 2 esophagitis was established. The results suggest that MED is a good predictor of the risk of radiation-induced esophagitis. The mean esophagus doses associated with a 50% incidence probability (TD50) for grade 1 and 2 esophagitis were determined as 1,510 cGy and 4,594 cGy, respectively. The parameters, n, m and TD50 as described in the Lyman Kutcher Burman (LKB) model were fitted and compared with other published findings. Our findings may be useful as additional clinical guidelines in treatment planning and plan evaluation, as well as obtaining informed patient consent.
- Subjects
RADIOTHERAPY; LUNG cancer; CANCER treatment; MEDICAL dosimetry; EOSINOPHILIC esophagitis
- Publication
Journal of the Mississippi Academy of Sciences, 2018, Vol 62, Issue 2 Supplement, p233
- ISSN
0076-9436
- Publication type
Article