ObjectiveTo understand the latest progress of enrichment technology of circulating tumor cells (CTCs), and summarize the principle, advantages and disadvantages of various enrichment technologies and their applications in primary liver cancer (PLC). MethodThe literature relevant to the enrichment methods of CTCs in the PLC was reviewed and summarized. ResultsThe clinical significances of CTCs in the early diagnosis and staging, hierarchical diagnosis and treatment, and efficacy monitoring of patients with PLC had been recognized. There were many separation and enrichment technologies for CTC, which were mainly based on the differences of physical and biochemical characteristics, as well as the combination of enrichment methods with various principles. Each enrichment method had corresponding advantages and disadvantages, and few enrichment methods for CTC was applied to PLC. ConclusionsAlthough many problems need to be solved in enrichment method of CTCs at present, it is believed that the existing problems will be solved one by one with continuous improvement of technology. And CTC detection is expected to apply in clinical, so as to provide more efficient diagnosis and treatment methods for patients with PLC.
目的：建立并探讨一种体外分离、培养和扩增骨髓间质干细胞的优化方法。方法：采用密度梯度离心法和全骨髓贴壁法分离培养大鼠骨髓干细胞，应用倒置显微镜和免疫组化法观察和鉴定骨髓间质干细胞。结果：大鼠骨髓干细胞呈均一的梭形成纤维细胞样，形成集落样生长，显微结构表现出干细胞特征；免疫组化显示CD14、CD45阴性，CD44、CD90阳性。与密度梯度离心法比较，贴壁法获得的骨髓干细胞活性高，增殖力强，克隆形成早，传代时间短。结论：全骨髓贴壁法和密度梯度离心法均可获得高纯度贴壁生长的骨髓干细胞，其中全骨髓贴壁法方法简单易行，骨髓干细胞增殖快，活性好，传代力持久，是一种有实用价值的骨髓干细胞培养方法。
Magnetic resonance imaging (MRI) plays a crucial role in the diagnosis of ischemic stroke. Accurate segmentation of the infarct is of great significance for selecting intervention treatment methods and evaluating the prognosis of patients. To address the issue of poor segmentation accuracy of existing methods for multiscale stroke lesions, a novel encoder-decoder architecture network based on depthwise separable convolution is proposed. Firstly, this network replaces the convolutional layer modules of the U-Net with redesigned depthwise separable convolution modules. Secondly, an modified Atrous spatial pyramid pooling (MASPP) is introduced to enlarge the receptive field and enhance the extraction of multiscale features. Thirdly, an attention gate (AG) structure is incorporated at the skip connections of the network to further enhance the segmentation accuracy of multiscale targets. Finally, Experimental evaluations are conducted using the ischemic stroke lesion segmentation 2022 challenge (ISLES2022) dataset. The proposed algorithm in this paper achieves Dice similarity coefficient (DSC), Hausdorff distance (HD), sensitivity (SEN), and precision (PRE) scores of 0.816 5, 3.668 1, 0.889 2, and 0.894 6, respectively, outperforming other mainstream segmentation algorithms. The experimental results demonstrate that the method in this paper effectively improves the segmentation of infarct lesions, and is expected to provide a reliable support for clinical diagnosis and treatment.
In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such as heart failure, severe anemia, etc. Applying a deep learning method to plasma images significantly improves recognition accuracy, so that this paper proposes a plasma quality detection model based on improved “You Only Look Once” 5th version (YOLOv5). Then the model presented in this paper and the evaluation system were introduced into the plasma datasets, and the average accuracy of the final classification reached 98.7%. The results of this paper's experiment were obtained through the combination of several key algorithm modules including omni-dimensional dynamic convolution, pooling with separable kernel attention, residual bi-fusion feature pyramid network, and re-parameterization convolution. The method of this paper obtains the feature information of spatial mapping efficiently, and enhances the average recognition accuracy of plasma quality detection. This paper presents a high-efficiency detection method for plasma images, aiming to provide a practical approach to prevent hemolysis illnesses caused by external factors.
ObjectiveTo compare the effectiveness of flexible fixation and rigid fixation in the treatment of ankle pronation-external rotation fractures with distal tibiofibular syndesmosis.MethodsA retrospective analysis was made on the clinical data of 50 patients with ankle pronation-external rotation fractures and distal tibiofibular syndesmosis treated between January 2013 and December 2015. Suture-button fixation was used in 23 patients (flexible fixation group) and cortical screw fixation in 27 patients (rigid fixation group). There was no significant difference in age, gender, weight, side, fracture type, and time from trauma to surgery between 2 groups (P>0.05). The operation time, medial clear space (MCS), tibiofibular clear space (TFCS), tibiofibular overlap (TFO), American Orthopaedic Foot and Ankle Society (AOFAS) score, and Foot and Ankle Disability Index (FADI) score were compared between 2 groups.ResultsThe operation time was (83.0±9.1) minutes in the flexible fixation group and was (79.6±13.1) minutes in the rigid fixation group, showing no significant difference (t=1.052, P=0.265). All patients achieved healing of incision by first intention. The patients were followed up 12-20 months (mean, 14 months). The X-ray films showed good healing of fracture in 2 groups. There was no screw fracture, delayed union or nounion. The fracture healing time was (12.1±2.5) months in the flexible fixation group and was (11.3±3.2) months in the rigid fixation group, showing no significant difference between 2 groups (t=1.024, P=0.192). Reduction loss occurred after removal of screw in 2 cases of the rigid fixation group. At last follow-up, there was no significant difference in MCS, TFCS, TFO, AOFAS score and FADI score between 2 groups (P>0.05).ConclusionSuture-button fixation has similar effectiveness to screw fixation in ankle function and imaging findings, and flexible fixation has lower risk of reduction loss of distal tibiofibular syndesmosis than rigid fixation.
【Abstract】 Objective To explore good methods for isolation and purification of rat islets. Methods The isletswere isolated from male SD rat pancreata by a collagenase perfusion method and purified by a modified method: added 4 kinds of Euro-Ficoll of different densities (F1: D=1.132, F2: D=1.108, F4: D=1.069, F5: D=1.023), discontinuous density gradient centrifuge the tube at 2 000 r/min for 20 minutes at 4℃ , then the islets between F1 and F2 were collected. The purity of islets was assessed by dithizone staining with islets counted and scored for size. Islets viabil ity was assessed by fluorescin diacetate / propidium iodide. The function of purified islets was judged by the test of insul in release and islets transplantation. Results After an improved method for optimized isolation and purification, (920±122) IEQ purified islets were obtained from one rat. Both the purity and viabil ity of islets were over 90%. The amount of insul in secretion was (18.25±0.32) mU/L and (36.70±3.57) mU/Lat 2.2 mmol/ L and 22.2 mmol/L concentration of glucose respectively, there was significant difference between the two phases(P lt; 0.05). The insul in release index was 2.01±0.15. Under 1 000 IEQ islets transplantation, the normal glucose level could beremained in diabetic rats. Conclusion High purity and high viabil ity islet cells can be got through improved collagenase perfusion and centrifugation on gradients method.
The existing retinal vessels segmentation algorithms have various problems that the end of main vessels are easy to break, and the central macula and the optic disc boundary are likely to be mistakenly segmented. To solve the above problems, a novel retinal vessels segmentation algorithm is proposed in this paper. The algorithm merged together vessels contour information and conditional generative adversarial nets. Firstly, non-uniform light removal and principal component analysis were used to process the fundus images. Therefore, it enhanced the contrast between the blood vessels and the background, and obtained the single-scale gray images with rich feature information. Secondly, the dense blocks integrated with the deep separable convolution with offset and squeeze-and-exception (SE) block were applied to the encoder and decoder to alleviate the gradient disappearance or explosion. Simultaneously, the network focused on the feature information of the learning target. Thirdly, the contour loss function was added to improve the identification ability of the blood vessels information and contour information of the network. Finally, experiments were carried out on the DRIVE and STARE datasets respectively. The value of area under the receiver operating characteristic reached 0.982 5 and 0.987 4, respectively, and the accuracy reached 0.967 7 and 0.975 6, respectively. Experimental results show that the algorithm can accurately distinguish contours and blood vessels, and reduce blood vessel rupture. The algorithm has certain application value in the diagnosis of clinical ophthalmic diseases.
ObjectiveTo investigate the preparation and osteogenic properties of poly (L-lactic acid)(PLLA)/lecithin porous scaffolds with open pore structure.MethodsPLLA/lecithin porous scaffolds with different lecithin contents (0, 5%, 10%, 20%, 30%, 40%, 50%) were prepared by thermally induced phase separation (groups A, B, C, D, E, F, and G, respectively). Scanning electron microscopy (SEM) was used to observe the surface morphology of the scaffolds. Wide-angle X-ray diffraction (XRD) and differential scanning calorimetry (DSC) were used to detect the crystallinity of the scaffolds. The water uptake ability of the scaffolds was measured. The cell growth and viability of bone marrow mesenchymal stem cells (BMSCs) of mouse on each scaffold was assessed by cell counting kit 8 (CCK-8) method. The osteogenic differentiation ability of BMSCs on each scaffold was evaluated by alkaline phosphatase (ALP) activity. Finally, a critical-size rat calvarial bone defect model was used to evaluate the osteogenesis of the scaffolds in vivo. Micro-CT was used to reconstruct the three-dimensional model of the defect area, and the bone volume and bone mineral density were quantitatively analyzed.ResultsSEM results showed that the lecithin could slightly reduce the pore size; when lecithin content was 50%, platelet-like structure could be observed on the scaffolds. Wide angle XRD and DSC showed that the crystallinity of scaffolds gradually decreased with the increase of lecithin content. The water uptake ability test showed that the hydrophilicity of scaffolds increased with the increase of lecithin content. CCK-8 assay showed that cell activity gradually increased with the increase of culture time. After 7 days of culture, the absorbance (A) value of groups C, D, E, and F were significantly higher than that of groups A, B, and G (P<0.05), but no significant difference was found among groups C, D, E, and F (P>0.05). After 14 days of osteogenic induction, with the increase of lecithin content, there was a significant difference in ALP activity of each group. The ALP activity in groups D, E, F, and G were significantly higher than that in groups A, B, and C (P<0.05).In vivo, the results of Micro-CT examination and bone volume and bone mineral density showed that the scaffolds with 30% lecithin had the best repairing effect.ConclusionPrepared by thermally induced phase separation, the cytocompatibility, osteogenic differentiation, and bone repair ability of the PLLA/lecithin porous scaffold is obviously better than that of pure PLLA scaffold. PLLA/lecithin porous scaffold with suitable lecithin content is a promising scaffold material for bone tissue engineering.
ObjectiveTo systematically review the effects of core training for diastasis recti abdominis (DRA) in postpartum period. MethodsThe PubMed, EMbase, EBSCO, Cochrane Library, CNKI, CBM and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) on core training for patients with DRA postpartum from inception to December 7, 2022. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.4 software. ResultsA total of 12 RCTs were included, involving 741 patients with DRA postpartum. The results of the meta-analysis demonstrated that core training significantly reduced inter-recti distance (IRD) above the umbilicus (SMD=−1.37, 95%CI −2.30 to −0.44, P<0.05), below the umbilicus (SMD=−0.82, 95%CI −1.28 to −0.36, P<0.05), at the level of the umbilicus during contraction of the rectus abdominis (RA) (SMD=−0.76, 95%CI −1.24 to −0.28, P<0.05) and above the umbilicus during RA contraction (SMD=−3.41, 95%CI −5.12 to −1.69, P<0.05) in patients with DRA postpartum. Additionally, the results indicated that core training could improve visual analogue scale, abdominal circumference, waist-hip ratio, lumbopelvic control impairment, lumbopelvic proprioception, the static and dynamic overall balance stability, the static and dynamic anterior-posterior balance stability, medial-lateral static balance stability and Oswestry disability index in patients with DRA postpartum (P<0.05). However, no significant improvement was observed in inter-recti distance (IRD) below the umbilicus during RA contraction, the score of inventory of functional status after childbirth questionnaire, the score of multidimensional body-self relations questionnaire, medial-lateral dynamic balance stability or the score of pelvic floor impact questionnaire in patients with DRA postpartum (P>0.05). ConclusionCore training may improve IRD, pain intensity, total abdominal fat and fat distribution and balance in patients with DRA postpartum, but its efficacy in improving postpartum functional status, body image satisfaction or the degree of dysfunction is unclear. Due to the limited quality and quantity of the included studies, more high quality studies are required to verify the above conclusion.