Objective： The aim of this study was to investigate the role of preoperative neoadjuvant intra-arterial infusion chemotherapy （NAIC） in treating locally advanced cervical caner. Methods： Nineteen locally advanced ...Objective： The aim of this study was to investigate the role of preoperative neoadjuvant intra-arterial infusion chemotherapy （NAIC） in treating locally advanced cervical caner. Methods： Nineteen locally advanced cervical cancer （LACC） patients from November 2003 to November 2005 were analyzed retrospectively. NAIC was administrated 2 courses every 2 weeks using a combination of 30 mg/m^2 bleomycin and 50 mg/m^2 cisplatin via bilateral femur artedes. The response to NAIC was assessed by pelvic examination and imaging diagnostics and histological analysis. Two weeks after NAIC radical hysterectomy with pelvic lymphadenectomy was performed. Results： Radical hysterectomy with pelvic lymphadenectomy were performed in 18 patients successfully. The mean tumor reduction rate was 73.04%. The overall clinical response rate of NAIC was 84.2% with 2 complete responses and 16 partial responses. Only 1 nonresponder. Six of 7 cases who had parametrial infiltration had a absence after chemotherapy, no significant change was observed in 1 case who followed by radiotherapy. Multivariate logistic regression analysis indicated that tumor volume prior to treatment was determining factor affecting the efficacy of NAIC in LACC. Conclusion： pre-operative NAIC inhibited the growth of LACC, minimized the size, eliminate effectively the pathologic dsk factors in the pelvic cavity, to improve the operability in cervical cancer patients with stage lib or above, considered inoperable.展开更多
Artificial intelligence(AI)has shown great potential in wireless communications.AI-empowered communication algorithms have beaten many traditional algorithms through simulations.However,the existing works just use the...Artificial intelligence(AI)has shown great potential in wireless communications.AI-empowered communication algorithms have beaten many traditional algorithms through simulations.However,the existing works just use the simulated datasets to train and test the algorithms,which can not represent the power of AI in practical communication systems.Therefore,Peng Cheng Laboratory holds an AI competition,National Artificial Intelligence Competition(NAIC):AI+wireless communications,in which one of the topics is AI-empowered channel feedback system design using practical measurements.In this paper,we give a baseline neural network design,QuanCsiNet,for this competition,and the details of the channel measurements.QuanCsiNet shows excellent performance on channel feedback and the complexity of the neural networks is also given.展开更多
文摘Objective： The aim of this study was to investigate the role of preoperative neoadjuvant intra-arterial infusion chemotherapy （NAIC） in treating locally advanced cervical caner. Methods： Nineteen locally advanced cervical cancer （LACC） patients from November 2003 to November 2005 were analyzed retrospectively. NAIC was administrated 2 courses every 2 weeks using a combination of 30 mg/m^2 bleomycin and 50 mg/m^2 cisplatin via bilateral femur artedes. The response to NAIC was assessed by pelvic examination and imaging diagnostics and histological analysis. Two weeks after NAIC radical hysterectomy with pelvic lymphadenectomy was performed. Results： Radical hysterectomy with pelvic lymphadenectomy were performed in 18 patients successfully. The mean tumor reduction rate was 73.04%. The overall clinical response rate of NAIC was 84.2% with 2 complete responses and 16 partial responses. Only 1 nonresponder. Six of 7 cases who had parametrial infiltration had a absence after chemotherapy, no significant change was observed in 1 case who followed by radiotherapy. Multivariate logistic regression analysis indicated that tumor volume prior to treatment was determining factor affecting the efficacy of NAIC in LACC. Conclusion： pre-operative NAIC inhibited the growth of LACC, minimized the size, eliminate effectively the pathologic dsk factors in the pelvic cavity, to improve the operability in cervical cancer patients with stage lib or above, considered inoperable.
基金The work was supported in part by National Key Research and Development Program 2018YFA0701602National Science Foundation of China(NSFC)for Distinguished Young Scholars with Grant 61625106+1 种基金the NSFC under Grant 61941104,and 2019B010136Guangdong Province Basic and Applied Basic Research Foundation。
文摘Artificial intelligence(AI)has shown great potential in wireless communications.AI-empowered communication algorithms have beaten many traditional algorithms through simulations.However,the existing works just use the simulated datasets to train and test the algorithms,which can not represent the power of AI in practical communication systems.Therefore,Peng Cheng Laboratory holds an AI competition,National Artificial Intelligence Competition(NAIC):AI+wireless communications,in which one of the topics is AI-empowered channel feedback system design using practical measurements.In this paper,we give a baseline neural network design,QuanCsiNet,for this competition,and the details of the channel measurements.QuanCsiNet shows excellent performance on channel feedback and the complexity of the neural networks is also given.
