Animals ; China ; Echinococcosis ; diagnosis ; Humans ; Malaria ; diagnosis ; Schistosomiasis ; diagnosis

China ; epidemiology ; Echinococcosis, Hepatic ; epidemiology ; Humans ; Prevalence

Adult ; Bone Diseases ; diagnosis ; pathology ; surgery ; Echinococcosis ; diagnosis ; pathology ; surgery ; Female ; Humans ; Male ; Middle Aged

OBJECTIVETo observe the expression of dynamin-1 and phosphor-dynamin-1 in the hippocampus of children and rats with mesial temporal lobe epilepsy (MTLE) and to investigate the roles of dynamin-1 and phosphor-dynamin-1 in the development of MTLE.

METHODSMale Sprague-Dawley rats (aged 25 days) were randomly divided into acute control (AC), acute seizure (AS), latent control (LC), latent seizure (LS), chronic control (CC) and chronic spontaneous seizure (CS) groups. Lithium chloride-pilocarpine was used to induce a rat model of MTLE. The hippocampus samples of 5 children with a pathologically confirmed hippocampal sclerosis who received surgical operation were collected as a human model (HM) group, and the hippocampus samples of 4 dead children (without organic lesion of the hippocampus) were collected by autopsy as a human control (HC) group. The expression of dynamin-1 and phosphor-dynamin-1 in the hippocampus of children and rats with MTLE was measured by Western blot and immunohistochemistry.

RESULTSThe Western blot showed that the expression of phosphor-dynamin-1 was significantly lower in the AS and CS groups than in the corresponding control groups (AC and CC groups) (P<0.05). The expression of phosphor-dynamin-1 was significantly lower in the HM group than in the HC group (P<0.05). There were no significant differences in the expression of dynamin-1 among the AS, LS and CS groups and between the HM and HC groups (P>0.05). The immunohistochemical results showed that phosphor-dynamin-1 was highly expressed in the cytoplasm of hippocampal neurons of AC, CC and HC groups, but its expression was significantly reduced in the AS, CS and HM groups (P<0.05).

CONCLUSIONSThe expression of phosphor-dynamin-1, not dynamin-1, is downregulated in the hippocampus of children and rats with MTLE during seizures, which suggests that the phosphorylation/dephosphorylation of dynamin-1 may be involved in the development of MTLE.

Animals ; Blotting, Western ; Child ; Dynamin I ; analysis ; metabolism ; Epilepsy, Temporal Lobe ; metabolism ; Female ; Hippocampus ; chemistry ; metabolism ; Humans ; Immunohistochemistry ; Male ; Phosphorylation ; Rats ; Rats, Sprague-Dawley

Objective:To evaluate the efficacy of artificial intelligence assisted pulmonary nodule diagnosis system in detection pulmonary nodule and predicting the malignant probability of pulmonary nodule.Methods:A retrospectively analyze the clinical data of 199 patients with lung nodules in the Thoracic Surgery Department of Lanzhou University Second Hospital from May 2016 to July 2020. The preoperative chest CT was imported into the artificial intelligence system to record the detected lung nodules, to measure nodal diameter and density classification and malignant probability prediction value of each nodule. The detection rate of pulmonary nodules by artificial intelligence system was calculated, and the sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of artificial intelligence system in the differential diagnosis of benign and malignant pulmonary nodules were calculated and compared with manual film reading. and the sensitivity and specificity in the differential diagnosis of benign and malignant pulmonary nodules under the condition of different size and density of pulmonary nodules.Results:A total of 204 pulmonary nodules were pathologically diagnosed by surgical resection, and the detection rate of pulmonary nodules by artificial intelligence system was 100%. The artificial intelligence system can distinguish benign and malignant pulmonary nodules with a sensitivity of 95.83%(95% CI: 0.8967-0.9883), specificity 25.00%(95% CI: 0.1717-0.3425), and a positive likelihood ratio of 1.27(95% CI: 1.14-1.44), negative likelihood ratio 0.17(95% CI: 0.06-0.46), Manual reading for the differentiation of benign and malignant pulmonary nodules has a sensitivity of 87.36%(95% CI: 0.7850-0.9352), specificity 72.17%(95% CI: 0.6214-0.8079), and a positive likelihood ratio of 3.14(95% CI: 2.26-4.37), the negative likelihood ratio is 0.18(95% CI: 0.10-0.31). 5mm≤diameter of pulmonary nodule<10 mm, sensitivity 100%(95% CI: 0.6637-1.0000), specificity 50.00%(95% CI: 0.01258-0.98740), 10 mm≤diameter of pulmonary nodule <20 mm, sensitivity 94.29%(95% CI: 0.8084-0.9930), specificity 29.83%(95% CI: 0.1843-0.4340), 20 mm≤ diameter of pulmonary nodule ≤30 mm, sensitivity 96.15%(95% CI: 0.8679-0.9953), specificity 18.37%(95% CI: 0.0876-0.9953), sensitivity of subsolid lung nodules: 100%(95% CI: 0.9051-1.0000), specificity 20.00%(95% CI: 0.0051-0.7164), solid lung nodule sensitivity 93.22%(95% CI: 0.8354-0.9812), specificity 25.24%(95% CI: 0.1720-0.3476). Conclusion:The artificial intelligence assistant diagnosis system of pulmonary nodules has a strong performance in the detection of pulmonary nodules, but it can not meet the clinical requirements in the differentiation of benign and malignant pulmonary nodules. At present, the artificial intelligence system can be used as an auxiliary tool for doctors to detect pulmonary nodules and assist in the diagnosis of benign and malignant pulmonary nodules.

BACKGROUND:How to improve the accuracy of puncture,reduce surgical damage,and improve surgical efficiency during vertebroplasty is currently one of the focuses of exploration and improvement in vertebroplasty techniques. OBJECTIVE:To explore the clinical significance of application of mixed reality technology in percutaneous vertebroplasty for spinal fractures. METHODS:Two patients with osteoporotic vertebral compression fracture in Dalian Second People's Hospital in June 2023 were selected.Before operation,128-row CT scanning of the lumbar spine was performed and the original data of digital imaging and communications in medicine(DICOM)were obtained.Visual Volume software was used to build the three-dimensional network model of vertebral compression fracture.Holographic imaging glasses were used to accurately map 3D network model images to the real world,assist the surgeon in completing preoperative simulation,explaining preoperative conditions and treatment plans,and guiding puncture and bone cement injection during surgery. RESULTS AND CONCLUSION:(1)Precise puncture was achieved with the assistance of a mixed reality technology.Postoperative imaging examination showed good bone cement filling and no obvious leakage.The postoperative symptoms of the patient were alleviated well,and they were able to move to the ground on the same day after surgery.(2)It is concluded that a mixed reality technology is helpful for preoperative surgical design and communication efficiency with patients and their families.Assisting with precise puncture during surgery,shortening surgical time,and reducing side injuries is a new and effective clinical diagnosis and treatment model,which has development potential in minimally invasive,precise,and personalized treatment of spinal surgery.