Objective:To explore the effectiveness of robotic implant technology in the postgraduate education of implant dentistry.Methods:The teaching method that combines of theory and model manipulation was used to teach 20 postgraduate students. After completing the theoretical course of implant dentistry, all students performed free hand, digital template, and dental implant robot implant surgery on the simulation jaw models. At the end of the course, an error analysis of the three and a feedback questionnaire distributed to the students were conducted in order to assess the effectiveness of the dental implant robot.Results:Compared to the freehand [2.45(1.1) mm,2.80(0.88) mm,4.95°(2.68°)] and digital template group [1.25(0.68) mm,2.00(0.90) mm, 3.35°(1.60°)], the dental robot implant group had smaller values for implant platform deviation, apical deviation and angular deviation [0.29(0.08) mm,0.26(0.20) mm,0.72°(0.13°)], and the difference was statistically significant ( P<0.001). The results of the questionnaire showed that dental implant robot helps to ensure the accuracy and safety of the implanting process and stimulates students′ interest in learning. Conclusions:At postgraduate level, the safety and accuracy of the implantation process was effectively improved and good teaching result achieved by introducing dental implant robot into the process of dental implant training.

Objective:To explore the effectiveness of robotic implant technology in the postgraduate education of implant dentistry.Methods:The teaching method that combines of theory and model manipulation was used to teach 20 postgraduate students. After completing the theoretical course of implant dentistry, all students performed free hand, digital template, and dental implant robot implant surgery on the simulation jaw models. At the end of the course, an error analysis of the three and a feedback questionnaire distributed to the students were conducted in order to assess the effectiveness of the dental implant robot.Results:Compared to the freehand [2.45(1.1) mm,2.80(0.88) mm,4.95°(2.68°)] and digital template group [1.25(0.68) mm,2.00(0.90) mm, 3.35°(1.60°)], the dental robot implant group had smaller values for implant platform deviation, apical deviation and angular deviation [0.29(0.08) mm,0.26(0.20) mm,0.72°(0.13°)], and the difference was statistically significant ( P<0.001). The results of the questionnaire showed that dental implant robot helps to ensure the accuracy and safety of the implanting process and stimulates students′ interest in learning. Conclusions:At postgraduate level, the safety and accuracy of the implantation process was effectively improved and good teaching result achieved by introducing dental implant robot into the process of dental implant training.

BACKGROUNDTo investigate gene diagnosis of micrometastasis in lymph nodes in patients with non-small cell lung cancer (NSCLC) and the feasibility of mucin 1 (MUC1) mRNA and cytokeratin 19 (CK19) mRNA as molecular marker to detect micrometastasis of lung cancer.

METHODSExpression of MUC1 mRNA and CK19 mRNA was detected in 119 lymph nodes taken from 31 patients with NSCLC, 35 lymph nodes from 10 patients with pulmonary benign diseases as controls by nested reverse transcriptase-polymerase chain reaction (RT-PCR).

RESULTSIn the 119 lymph nodes from lung cancer patients, CK19 mRNA expression was detected in 66 lymph nodes (55.5%) and MUC1 mRNA expression was detected in 65 lymph nodes (54.5%) by RT-PCR. Neither CK19 mRNA nor MUC1 mRNA expression was observed in all the 35 lymph nodes in the benign pulmonary lesion group.

CONCLUSIONSThe results suggest that the detection of both MUC1 and CK19 mRNA might be helpful to diagnose NSCLC micrometastasis in lymph nodes. The establishment of this method may lead to an earlier diagnosis of metastasis for lung cancer.