ObjectiveTo study a new method for establishing the rat model of incomplete adhesive intestinal obstruction. MethodsThe serosal stripping method was adopted, the general health condition changes of rats were observed on day 3, 5, and 7 after modeling, meanwhile the weight was measured, the superior mesenteric artery flow velocity and small intestine wall thickness were observed via the color Doppler ultrasound and orthostatic X ray. The level of D-lactate acid in the blood plasma, and the activity of superoxide dismutase (SOD) and the content of malondialdehyde (MDA) in the intestine tissue were tested. The pathological changes of the intestine tissue were observed. ResultsCompared with the normal group (no treatment was done), the general health conditions of rats were worse, the weight significantly decreased (Plt;0.01), the superior mesenteric artery blood flow velocity significantly increased and small intestinal wall was thickened (Plt;0.05, Plt;0.01), airfluid level or a great deal of seroperitoneum and pneumatosis flat appeared via orthostatic abdominal X-ray, the level of D-lactic acid in the blood plasma and the content of MDA in the intestine tissue significantly increased on day 5 after modeling (Plt;0.05, Plt;0.01), the activity of SOD in the intestine tissue significantly decreased on day 7 after modeling in the model group (Plt;0.05). The pathological changes consistented with adhesive intestinal obstruction via pathological observation. On the 7th day, the rat model of incomplete adhesive intestinal obstruction was successfully built . ConclusionThe rat model of incomplete adhesive intestinal obstruction is completed by serosal stripping method.
Objective To investigate an artificial intelligence (AI) automatic segmentation and modeling method for knee joints, aiming to improve the efficiency of knee joint modeling. Methods Knee CT images of 3 volunteers were randomly selected. AI automatic segmentation and manual segmentation of images and modeling were performed in Mimics software. The AI-automated modeling time was recorded. The anatomical landmarks of the distal femur and proximal tibia were selected with reference to previous literature, and the indexes related to the surgical design were calculated. Pearson correlation coefficient (r) was used to judge the correlation of the modeling results of the two methods; the consistency of the modeling results of the two methods were analyzed by DICE coefficient. Results The three-dimensional model of the knee joint was successfully constructed by both automatic modeling and manual modeling. The time required for AI to reconstruct each knee model was 10.45, 9.50, and 10.20 minutes, respectively, which was shorter than the manual modeling [(64.73±17.07) minutes] in the previous literature. Pearson correlation analysis showed that there was a strong correlation between the models generated by manual and automatic segmentation (r=0.999, P<0.001). The DICE coefficients of the 3 knee models were 0.990, 0.996, and 0.944 for the femur and 0.943, 0.978, and 0.981 for the tibia, respectively, verifying a high degree of consistency between automatic modeling and manual modeling. Conclusion The AI segmentation method in Mimics software can be used to quickly reconstruct a valid knee model.
ObjectiveThis study is designed to explore the indications, clinical pathway, and benefits of ultrasound-guided local anesthesia in radiofrequency endovenous obliteration (RFO) for great saphenous vein varices (GSV).MethodsA total of 350 patients diagnosed with GSV were divide into observation group (n=175) and control group (n=175). Patients in the observation group underwent local anesthesia RFO, and patients in the control group underwent intravertebral anesthesia. Comparion in the visual analogue scale pain scores (VAS) when anesthesia and after surgery, operative indexes, recovery time, satisfaction, and complications were performed.ResultsCompared with the control group, the VAS score with anesthesia time were lower (P<0.05), while in the surgery were higher (P<0.05), as well as the operative time, the first time for underground activity, normal activity time, incidences of complication of anesthesia and urinary were shorter (P<0.05), and the satisfaction rate was higher (P<0.05). There was no difference in the pain score of 12 h and 24 h after surgery, blood loss, volume of anesthetic swelling fluid, postoperative hospitalization, incidences of urinary tract infection, incisional infection, and deep vein thrombosis (P>0.05).ConclusionsThe RFO is feasible and safe after local anaesthesia. It can decrease the complication of anesthesia, that will promote the patient soon to be restored to health.