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Objective:To summarize and evaluate the target and dose design of 125I seed brachytherapy treatment plan of pediatric borderline tumor in head neck region. Methods:Eleven patients underwent definitive 125I brachytherapy or combined with surgery in Peking University Hospital of Stomatology from January 2010 to December 2018 were retrospective analyzed. The target region was set by extending the tumor gross region by 0.5 to 1.0 cm. The prescription dose and activity ranged from 80 to 120 Gy and 18.5 MBq, respectively. The treatments were performed according to the plan under general anesthesia. Response and toxic reaction were recorded during follow-up. The preoperative and postoperative dosimetric results were compared; and the local control rate, objective response rate, complete response rate and acute toxic reaction rate were calculated. Results:There was no statistically significant difference between preoperative and postoperative dosimetric results ( P>0.05). The follow-up time ranged from 33 to 131 months, with a median of 48 months. The local control rate, objective response rate, complete response rate and acute toxic reaction rate were 100%, 100%, 71.4% and 81.8%, respectively. Conclusions:Under well-designed target and dose, 125I brachytherapy for treatment of pediatric borderline tumor in head neck region would bring ideal therapeutic and toxic outcomes, and could be regarded as a feasible therapy.
RESUMO
Objective:To explore the value of 18F-FDG PET/CT radiomics in predicting the cervical lymph node metastasis in salivary gland cancer. Methods:Sixty-eight patients with salivary gland carcinoma treated in the Peking University School and Hospital of Stomatology were retrospectively studied. They were randomly divided into training group ( n=40), validation group ( n=14), and test group ( n=14). The primary tumor lesions were semi-automatically delineated on PET images as regions of interest (ROIs) and the radiomic features were extracted from ROIs. After feature selection and dimension reduction, an artificial neural network (ANN) prediction model was constructed. The prediction performance of the model was assessed using receiver operating characteristic (ROC) curves, the area under ROC curves (AUC), accuracy, sensitivity, and specificity. Moreover, the performance of various models was compared using the Delong test. Results:The radiomic model yielded an AUC of 0.88 (95% CI: 0.78-0.95), a sensitivity of 75%, specificity of 92.3%, and accuracy of 88.2%. By contrast, the combined model constructed based on the clinical node status (cN) reported by PET/CT and radiomic features yielded an AUC of 0.97 (95% CI: 0.89-0.99), a sensitivity of 87.5%, specificity of 100%, and accuracy of 97.1%. The Delong test showed that there was a statistically significant difference between the combined model and cN ( Z=2.27, P<0.05), but there was no statistically significant difference between the radiomic model and cN ( P>0.05). Conclusions:The ANN model based on 18F-FDG PET/CT radiomics combined with cN reported by PET/CT can more accurately predict cervical lymph node metastasis in patients with salivary gland carcinoma.