In the automatic analysis system of the kidney-tissue image, boundary enhancement for glomerulus area is a vital step. Complex characteristics of kidney-tissue image leads to the difficulty in boundary features description. This paper suggests a kind of feature template under the special boundary definition. A nonlinear threshold surface is constructed by neural network, then the proper surface can be selected to enhance boundary with the influence of error permissibility being taken into account. Experimental results indicate that this learning method with error permissibility can enhance the boundary of glomerulus and suppress noises at the same time, so it can obtain good processed effects and have a fine performance highly adaptive to various sample images.
Humans ; Image Processing, Computer-Assisted ; Kidney Glomerulus ; pathology ; Neural Networks (Computer)

Objective:To improve the perception of computed tomography(CT)images in detecting fine fracture through multi-task network of global attention,and to realize the detection of the target of fine fracture at case level through multi-task,and to quickly and accurately identify and locate fracture from a large number of CT images,so as to assist doctors to timely conduct treatment.Methods:A grouped Non-local network method was introduced to calculate the remote dependency relationship between each position of CT image continuous sections and channel.A single-stage detector of multi-objective detection model three dimension(3D)RetinaNet was integrated with the medical image semantic segmentation architecture(3D U-Net).A end-to-end multi-task 3D convolutional network was realized,which realized the detection of case level for fine fracture through multi-task collaboration.Select 600 CT scan images from the Rib Frac Dataset of rib fractures provided by the MICCAI 2020 Challenge,and they were divided into training set(500 cases)and test set(100 cases)as the ratio of 5:1 to test the precise performance of multi-task 3D convolutional network.Results:The precise performance of multi-task 3D convolutional network method was better than that of single-task FracNet,3D RetinaNet and 3D Retina U-Net in detection,which average precision was respectively higher 7.8%and 11.4%than 3D RetinaNet and 3D Retina U-Net.It was better than two kinds of single-task network detection method included 3D Faster R-CNN and 3D Mask R-CNN,and the average precision of that was respectively higher 6.7%and 3.1%than them.Conclusion:The integrated different modules of global attention multi-task network can improve the detection performance of fine fracture.The introduction of grouped Non-local network method can further improve the precise performance for the targets of fine fractures in detection.

Objective:To construct of comprehensive quality of evaluation index system about palliative care in general hospitals, so as to provide reference for promoting the scientific and standardized development of palliative care.Methods:Based on the structure-process-outcome quality model, literature research and Delphi method were used to determine the quality of palliative care evalution index system and index weight for general hospitals.Results:A total of 12 experts were consulted for two rounds,the rates of questionnaire retrieve were 12/15 and 12/12 respectively. The authoritative coefficients were 0.909 and 0.879, the Kendall′s W values were 0.27, 0.32 and 0.26 respectively with good coordination degree ( χ2=6.50, 106.62, 494.64, all P<0.05). Finally, the quality of palliative care indicator system in general hospitals was constructed, which included 3 first-level indicators, 30 second-level indicators and 157 third-level indicators. Conclusions:The establishment process of the construction of quality of palliative care indicator system in general hospitals was scientific and reasonable, focusing on the development characteristics of palliative care and can make significant contributions to improve the quality of palliative care.

Objective:To analyze clinical and imaging features of Sturge-Weber syndrome in children.Methods:Clinical data were collected from 27 children with Sturge-Weber syndrome in Xuzhou Children′s Hospital, Xuzhou Medical University from July 2013 to December 2019, and analyzed retrospectively.Results:Among the 27 children, 17 were males and 10 were females. Their age at the clinic visit ranged from 2 days to 10 years and 7 months, and averaged 2.54 years. All the 27 patients presented with facial port-wine stains of varied color from light red to purple red, which were all distributed across the facial midline, including 21 with predominantly unilateral port-wine stains and 6 with bilateral symmetrical port-wine stains. There were 17 patients with ocular choroidal vascular malformations, including 14 with congenital glaucoma, 5 with high intraocular pressure, and 1 with optic nerve atrophy accompanied by transient blindness. Neurological impairment occurred in 12 patients, and all manifested as epilepsy. All the 27 children underwent imaging examination, and abnormalities were found in 20. Among the 10 patients with abnormal computed tomography images, local calcification was observed in 8, and local thickening of the skull on the side affected by skin lesions in 8; 13 of 14 patients with abnormal magnetic resonance imaging scan results had signs of brain atrophy, 9 showed enhanced gyrus-like blood vessel formation by enhanced magnetic resonance imaging, and 5 showed decreased branches of the anterior and middle cerebral artery on the affected facial side by magnetic resonance angiography.Conclusions:Children with Sturge-Weber syndrome are clinically characterized by predominantly unilateral port wine stains on the face, some of whom are accompanied by epilepsy, glaucoma or mental retardation, and imaging examinations mainly show local calcification, brain atrophy, local thickening of the skull plate, enhanced gyrus-like blood vessel formation, etc. Early definite diagnosis and comprehensive systemic treatment are needed to reduce disability and mortality rates in patients with Sturge-Weber syndrome, and long-term follow-up should be considered.

Lingguizhugan Decoction (LGZG) has been investigated in basic studies, with satisfactory effects on insulin resistance in non-alcoholic fatty liver disease (NAFLD). This translational approach aimed to explore the effect and underlying mechanism of LGZG in clinical setting. A randomized, double-blinded, placebo-controlled trial was performed. A total of 243 eligible participants with NAFLD were equally allocated to receive LGZG (two groups: standard dose and low dose) or placebo for 12 weeks on the basis of lifestyle modifications. The primary efficacy variable was homeostasis model assessment of insulin resistance (HOMA-IR). Analyses were performed in two populations in accordance with body mass index (BMI; overweight/obese, BMI ⩾ 24 kg/m²; lean, BMI < 24 kg/m²). For overweight/obese participants, low-dose LGZG significantly decreased their HOMA-IR level compared with placebo (-0.19 (1.47) versus 0.08 (1.99), P = 0.038). For lean subjects, neither dose of LGZG showed a superior effect compared with placebo. Methylated DNA immunoprecipitation sequencing and real-time qPCR found that the DNA N6-methyladenine modification levels of protein phosphatase 1 regulatory subunit 3A (PPP1R3A) and autophagy related 3 (ATG3) significantly increased after LGZG intervention in overweight/obese population. Low-dose LGZG effectively improved insulin resistance in overweight/obese subjects with NAFLD. The underlying mechanism may be related to the regulation of DNA N6-methyladenine modification of PPP1R3A and ATG3. Lean subjects may not be a targeted population for LGZG.
Humans ; Non-alcoholic Fatty Liver Disease/drug therapy* ; Overweight/drug therapy* ; Insulin Resistance ; Obesity/drug therapy* ; China ; DNA/therapeutic use*