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@#Objective To explore the effect of 16F gastric tube on pain relief in postoperative lung cancer patients. Methods A total of 118 lung cancer patients were treated with radical resection of lung cancer in our hospital between January 2015 and May 2016. The patients were assigned into two groups: a 16F gastric tube group (16F group, 60 patients, 30 males and 30 females at age of 41-73 (52.13±7.83) years and a 28F drainage tube group (28F group, 58 patients, 25 males and 33 females at age of 45-75 (55.62±4.27) years. Clinical effects were compared between the two groups. Results There was no statistical difference in drainage time (4.47±1.03 d vs. 4.24±1.16 d, P=0.473), drainage amount (560.37±125.00 ml vs. 656.03±132.45 ml, P=0.478), incidences of pneumothorax (5/60 vs. 2/58, P=0.439), pleural effusion (6/60 vs. 3/58, P=0.522), and subcutaneous emphysema (3/60 vs. 1/58, P=0.635) between the two groups (P>0.05). The pain caused by the drainage tube in the16F group was less than that in the 28F drainage tube group with a statistical difference (F=4 242.996, P<0.001). The frequency of taking analgesics in the 16F group was significantly less than that in the 28F group (12/60 vs. 26/58, P<0.001). Conclusion The effects of draining pleural effusions and promoting lung recruitment are similar between the 16F group and the 28F group. However, the wound pain caused by 16F gastric tube is significantly less than that by 28F drainage tube.
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Objective:To investigate the value of 3D printing technology in sphenoid ridge meningioma dissection. Methods:By using craniocerebral spiral enhanced CT scan DICOM images, the skull, vessels, and tumor were extracted, reconstructed, and assembled and integrated in the same coordinate system. Then, we constructed a 3D virtual model and a 3D-printed entity model, which was ap-plied for preoperation and postoperation. Results:Virtual models of the brains of five patients were reconstructed successfully and 3D entity models were produced. The models expressed the relationship among tumors, adjacent blood vessels, and the important posi-tion of the nerve tissue. Then, the models were applied to the reference before surgery planning and after surgery. Five cases were successfully performed. Conclusion:The use of the entity model of sphenoid ridge meningioma is important in optimizing operation plans, improving tumor resection, and reducing intraoperative bleeding.