Objective To explore the relationship between artenosclerotic changes in the carotid arteries and the development of coronary beart disease (CHD), and also to study the changes in endothelial function in patients with CHD, with the aid of ultrasonographic examination. Methods One hundred and twenty inpatients were divided into CHD group ( n =90) and control group ( n =30) according to the results of coronary arteriogram. In intima media thickness (IMT) and arteriosclerotic plaques were determined in carotid arteries with B mode ultrasonography. Dilatation of the brachial arteries during reactive hyperemia and after sublingual administration of glyceryl trinitrate (GTN) were determined at the same time. Results The intimia media thickness of CHD group was significantly higher than that of the control group, and had no significant but there was no significant difference among groups of 1,2,or 3 diseased vessel groups. Atherosclerotic plaques were mostly found in the carotid bifurcation and common carotid artery segments. The discovery rate was higher in patients with 2 or 3 diseased coronary arteries. The contents of TC and LDL C, and incidence rate of hypertension and diabetes mellitus were higher in CHD group. The flow mediated dilatation and GTN induced dilatation of brachial arteries in patients with CHD were significantly reduced compared with those in control group( P

Image registration is of great clinical importance in computer aided diagnosis and surgical planning of liver diseases. Deep learning-based registration methods endow liver computed tomography (CT) image registration with characteristics of real-time and high accuracy. However, existing methods in registering images with large displacement and deformation are faced with the challenge of the texture information variation of the registered image, resulting in subsequent erroneous image processing and clinical diagnosis. To this end, a novel unsupervised registration method based on the texture filtering is proposed in this paper to realize liver CT image registration. Firstly, the texture filtering algorithm based on L0 gradient minimization eliminates the texture information of liver surface in CT images, so that the registration process can only refer to the spatial structure information of two images for registration, thus solving the problem of texture variation. Then, we adopt the cascaded network to register images with large displacement and large deformation, and progressively align the fixed image with the moving one in the spatial structure. In addition, a new registration metric, the histogram correlation coefficient, is proposed to measure the degree of texture variation after registration. Experimental results show that our proposed method achieves high registration accuracy, effectively solves the problem of texture variation in the cascaded network, and improves the registration performance in terms of spatial structure correspondence and anti-folding capability. Therefore, our method helps to improve the performance of medical image registration, and make the registration safely and reliably applied in the computer-aided diagnosis and surgical planning of liver diseases.
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Liver Diseases ; Tomography, X-Ray Computed

We reported the discovery of six novel coumarins, toddasirins A-F (1-6), each endowed with modified isoprenyl or geranyl side chains, derived from the roots of Toddalia asiatica. Comprehensive structural elucidation was achieved through multispectroscopic analyses, single-crystal X-ray diffraction experiments, and advanced quantum mechanical electronic circular dichroism (ECD) calculations. Furthermore, the anti-inflammatory activity of these compounds was assessed. Notably, compounds 1-3 and 6 demonstrated notable inhibitory effects on nitric oxide (NO) production in lipopolysaccharide (LPS)-induced RAW 264.7 cells, with 50% inhibitory concentration (IC₅₀) values of 3.22, 4.78, 8.90, and 4.31 μmol·L^-1, respectively.
Mice ; Animals ; Coumarins/chemistry* ; Rutaceae/chemistry* ; Anti-Inflammatory Agents/pharmacology* ; Plant Extracts/chemistry* ; RAW 264.7 Cells ; Nitric Oxide ; Molecular Structure