Malnutrition occurs frequently in patients with cancer. Indeed, a variety of nutritional and tumor-related factors must be taken into account in these patients. Recognizing this relationship, we aimed to prospectively evaluate the risk factors that influence weight loss in patients undergoing radiotherapy with oral nutritional supplementation and dietetic counseling. Weight loss of 74 patients during radiotherapy and 1 month after treatment was analyzed. Parameters such as age, gender, tumor location, tumor stage, Eastern Cooperative Oncology Group performance status (ECOG PS) score, and the use of chemotherapy were analyzed to evaluate their influence on weight loss. All patients underwent oral nutritional supplementation and dietetic counseling. Forty-six (65.7%) patients lost weight, with a mean weight loss of (4.73 ± 3.91) kg, during radiotherapy. At 1 month after treatment, 45 (66.2%) patients lost weight, presenting a mean weight loss of (4.96 ± 4.04) kg, corresponding to a (6.84 ± 5.24)% net reduction from their baseline weight. Head and neck cancer patients had a mean weight loss of (3.25 ± 5.30) kg, whereas the remaining patients had a mean weight loss of (0.64 ± 2.39) kg (P = 0.028) during radiotherapy. In the multivariate analysis, the head and neck tumor location (P = 0.005), use of chemotherapy (P = 0.011), and ECOG PS score of 2-3 (P = 0.026) were considered independent risk factors. Nutritional status and parameters, such as tumor location (especially the head and neck), the use of chemotherapy, and the ECOG PS score, should be evaluated before radiotherapy because these factors can influence weight loss during radiotherapy and 1 month after treatment.
BackgroundPalliative radiotherapy (RT) is an effective treatment for symptomatic bone metastases. Pain flare, a transient worsening of the bone pain after RT, has been described in previous reports with different incidence rates. The aim of the study was to prospectively evaluate the incidence of pain flare following RT for painful bone metastases and evaluate its effects on pain control and functionality of the patients.MethodsBetween June 2010 and June 2014, 204 patients were enrolled in this study and 135 patients with complete data were evaluable. Pain flare was defined as a 2- point increase in worst pain score as compared with baseline with no decrease in analgesic intake or a 25 % increase in analgesic intake as compared with baseline with no decrease in worst pain score. All pain medications and worst pain scores were collected before, daily during, and for 10 days after RT. The Brief Pain Inventory (BPI) was filled out on the pretreatment and at the 4 weeks follow-up visit.ResultsThere were 90 men (66.7 %) and 45 women (33.3 %). Mean age was 66 years (SD 9.8). The most common primary cancer site was lung in 42 patients (31.1 %), followed by prostate in 27 patients (20.0 %). Forty-two patients (31.1 %) patients received a single fraction of 8 Gy and 83 (61.5 %) received 20 Gy in five fractions.The overall pain flare incidence across all centers was 51/135 (37.7 %). The majority of pain flares occurred on days 1–5 (88.2 %). The mean duration of the pain flare was 3 days (SD: 3). There were no significant relationships between the occurrence of pain flare and collected variables.All BPI items measured four weeks after end of RT showed significant improvement as compared with pretreatment scores (p < 0.001). No significant differences in BPI time trends were found between patients with and without flare pain.ConclusionPain flare is a common event, occurring in nearly 40 % of the patients that receive palliative RT for symptomatic bone metastases. This phenomenon is not a predictor for pain response.
Squamous cell carcinoma is the most common malignant tumour of the head and neck. The initial TNM staging, the evaluation of the tumour response during treatment, and the long-term surveillance are crucial moments in the approach to head and neck squamous cell carcinoma (HNSCC). Thus, at each of these moments, the choice of the best diagnostic tool providing the more precise and larger information is crucial. Positron emission tomography with fluorine-18 fludeoxyglucose integrated with CT ( 18
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