Abstract

To examine the patterns of care, outcomes, and prognostic factors for patients with head-and-neck cancer (HNC) treated with palliative radiotherapy (RT). An institutional HNC anthology and electronic patient records were used to identify patients with previously untreated HNC of mucosal or salivary gland origin who underwent palliative RT at our institution between July 2003 and June 2008. Overall survival was determined from the start date of RT to either the date of death or the date of last follow-up for living patients. The data were censored if the subject was either lost to follow-up or had not been seen for follow-up at our institution for ≥4 months. We identified 148 eligible patients. The median age was 72 years (range, 19-94). Of the 148 patients, 12 had Stage II-III, 39 Stage IVA, 36 Stage IVB, and 54 Stage IVC; for 7 patients, the stage was unknown. Oropharyngeal primary cancer (40) was the most common primary site. The Eastern Cooperative Oncology Group performance status was 0 in 15, 1 in 69, 2 in 40, 3 in 19, and 4 in 5 patients. The Adult Co-morbidity Evaluation-27 scale was 0 in 33, 1 in 47, 2 in 44, and 3 in 21. The median radiation dose was 50 Gy (range, 2-70), the median fraction number was 20 (range, 1-40), and the median total treatment time (including breaks) was 29 days (range, 1-80). At analysis, 108 patients (73%) had died, 20 (13.5%) were alive, and 20 (13.5%) had been censored. The median follow-up was 4.8 months, and the median survival time was 5.2 months. Information on the treatment response was available for 103 patients (70%). On multivariate analysis, the radiation dose was an independent predictor of both overall survival (hazard ratio 0.97, 95% confidence interval 0.96-0.99, p <.01) and treatment response (odds ratio 1.05, 95% confidence interval 1.01-1.08, p <.01). For patients considered unsuitable for curative RT, the radiation dose might be an independent predictive factor for both overall survival and treatment response. Additional research is required to more effectively select those patients who might benefit from more aggressive treatment.

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