Objective:To investigate the clinical features of direct and indirect carotid cavernous fistulas (CCFs).Methods:Patients with CCF treated in the Affiliated Hospital of Xuzhou Medical University from January 2010 to August 2020 were enrolled retrospectively. Relevant clinical data were collected, including the main clinical manifestations, neuroimaging features, and treatment methods. The clinical features of direct and indirect CCFs were compared.Results:A total of 31 patients were enrolled in the study, 29 (93.5%) had ocular symptoms, of which conjunctival hyperemia and edema ( n=24, 77.4%), exophthalmos ( n=19, 61.3%) and orbital murmur ( n=18, 58.1%) were most common. There were 23 patients (74.2%) in direct CCF group and 8 (25.8%) in indirect CCF group. The former had more history of head trauma (78.2% vs. 12.5%; P=0.002), more flow volume (high-flow CCFs: 100% vs. 37.5%; P<0.001) and more likely to cause orbital murmur (69.6% vs. 25.0%; P=0.043). Endovascular embolization was safe and effective. The common methods of endovascular embolization were EVAL glue combined with coil embolization ( n=18, 66.7%) and detachable balloon embolization alone ( n=6, 22.2%). Conclusion:Ocular manifestations are most prominent in patients with CCFs. Direct CCF is more common, usually with a history of head trauma, and the clinical and imaging features are more typical. Interventional embolization is the preferred treatment option for patients with CCF.

China/epidemiology* ; Coronary Angiography ; Coronary Artery Disease/epidemiology* ; Cross-Sectional Studies ; Humans ; Risk Assessment ; Risk Factors

Objective To investigate biomechanical differences of two posterior occipitocervical internal fixation techniques for treating basilar invagination with atlantoaxial dislocation (BI-AAD). Methods Intra-articular cage + posterior occipital plate+C2 pedicle screw (Cage+C2PS+OP), and intra-articular cage+C1 lateral mass screw+C2PS (Cage+C1LMS+C2PS) models were established based on occipitocervical CT data of the BI-AAD and clinical operation scheme, and the stability of atlantoaxial joint and stress distribution characteristics of C2 endplate and implanted instruments under different motion states were analyzed. Results Compared with the Cage+C1LMS+C2PS model, the atlantoaxial range of motion ( ROM) under flexion, extension, lateral bending and axial rotation in the Cage+C2PS+OP model were reduced by 5. 26% , 33. 33% , 43. 75% , -5. 56% , and stress peak of screw-rod fixation system were reduced by 47. 81% , 60. 90% , 48. 45% , 39. 14% , respectively. Under two internal fixation modes, stresses of C2 endplate and cage were mainly distributed on the compressive side during the motion, and both the screw-bone interface and the caudal side of screw subjected to large loading. Conclusions Two internal fixation methods could provide similar stability. However, the stress concentration of screw-rod system was more obvious and the possibility of screw loosening and fracture was greater under Cage+ C1LMS+C2PS fixation.

Near-infrared spectroscopy(NIRS) combined with band screening method and modeling algorithm can be used to achieve the rapid and non-destructive detection of the traditional Chinese medicine(TCM) production process. This paper focused on the ginkgo leaf macroporous resin purification process, which is the key technology of Yinshen Tongluo Capsules, in order to achieve the rapid determination of quercetin, kaempferol and isorhamnetin in effluent. The abnormal spectrum was eliminated by Mahalanobis distance algorithm, and the data set was divided by the sample set partitioning method based on joint X-Y distances(SPXY). The key information bands were selected by synergy interval partial least squares(siPLS); based on that, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA) and Monte Carlo uninformative variable(MC-UVE) were used to select wavelengths to obtain less but more critical variable data. With selected key variables as input, the quantitative analysis model was established by genetic algorithm joint extreme learning machine(GA-ELM) algorithm. The performance of the model was compared with that of partial least squares regression(PLSR). The results showed that the combination with siPLS-CARS-GA-ELM could achieve the optimal model performance with the minimum number of variables. The calibration set correlation coefficient R_c and the validation set correlation coefficient R_p of quercetin, kaempferol and isorhamnetin were all above 0.98. The root mean square error of calibration(RMSEC), the root mean square error of prediction(RMSEP) and the relative standard errors of prediction(RSEP) were 0.030 0, 0.029 2 and 8.88%, 0.041 4, 0.034 8 and 8.46%, 0.029 3, 0.027 1 and 10.10%, respectively. Compared with the PLSR me-thod, the performance of the GA-ELM model was greatly improved, which proved that NIRS combined with GA-ELM method has a great potential for rapid determination of effective components of TCM.
Algorithms ; Ginkgo biloba ; Least-Squares Analysis ; Plant Leaves ; Spectroscopy, Near-Infrared