Objective:To explore the effect of family history of cancer on clinical features and prognostic factors in nasopharyngeal car-cinoma (NPC) patients. Methods:The clinical data of 89 NPC patients with a family history of cancer and 388 NPC patients without a family history of cancer were retrospectively reviewed. Univariate and multivariate survival analyses were performed to identify possi-ble prognostic factors. Results:The clinical characteristics of NPC patients with and without family history of cancer were compared. The gender, age, TNM stage, pathological type, and hemoglobin radiotherapy concentration before treatment did not significantly dif-fer between the two groups (P>0.05). NPC patients with a family history of cancer had better 3-year overall survival than those with-out family history of cancer (91.6%vs. 85.5%), but no statistically significant difference was observed (P=0.211). Both univariate and multivariate analyses showed that T, N, and TNM stages were the important prognosis factors affecting 3-year overall survival (OS), progression free survival (PFS), and distant metastasis-free survival (DMFS) of NPC (P<0.05). However, neither family history of cancer nor family history of NPC in 3-year OS, PFS, LRFS, and DMFS was significant in NPC patients (P>0.05). Conclusion:NPC patients with family history of cancer had better 3-year OS than those without family history of cancer, but no statistically significant observation was found. Large T stage or high lymph node stage contributed to poor survival of NPC. Family history of cancer had no significant in-fluence on the survival of NPC patients.

Objective To explore the clinical application value of second-generation dual-source CT combined with intelligent modulation and iterative reconstruction in emergency aortic dissection imaging.Methods A total of 40 emergency patients with clinical suspected aortic dissection were included in this study.Conventional scanning was performed in the control group,and large-pitch intelligent modulation and iterative reconstruction were performed in the test group.The mean CT value,mean noise,signal noise ratio(SNR),contrast noise ratio(CNR),effective dose,image quality and aortic root image quality were evaluated and analyzed.Results Totally 40 patients successfully completed CT aortic dissection imaging.There was no difference in image quality between the two groups (P＞ 0.05).The quality of aortic root images in the test group was better than that in the control group,and the difference was statistically significant(x2=22.556,P＜0.05).The mean CT value and mean noise of aorta in the control group were slightly higher than those in the test group.However,SNR and CNR in the test group were higher than those in the control group,and the difference was statistically significant (t =-21.042,-15.924,8.530,11.495,P＜0.05).The effective dose of the control group [(10.59±3.89)mSv] was significantly higher than that [(6.39±0.81) mSv] of the test group,the difference was statistically significant (t =-12.327,P＜0.05).Conclusions The combined intelligent modulation technique and iterative reconstruction technique with dual-source CT large pitch scanning can meet the requirements of image quality and reduce the effective dose,and can be used as a conventional imaging method for emergency CT of aortic dissection.

ObjectiveTo develop a bilateral rehabilitation robot motion assistance strategy based on admittance control, so that rehabilitation physicians can assist patients in rehabilitation training through remote teaching. MethodsA bilateral remote rehabilitation platform with upper limb terminal traction was constructed. Based on the velocity admittance control, the interactive movement between the master robot and the rehabilitation physician was realized, and the position information transmission of the master-slave robot was realized through the communication framework built. The slave robot received the position coordinates of the main robot, and drove the patient to carry out rehabilitation exercises under the attitude admittance controller. ResultsThe robot could drive the patient to accurately track the trajectory of the doctor's teaching in real time, and improve the safety and compliance of the training and human-computer interaction. ConclusionBy introducing two admittance controllers, the trajectory of the physician's end can be accurately tracked when driving the patient's movement from the robotic arm, which effectively avoids the discomfort of the patient's arm in process of rehabilitation.