Aesthetic Preferences for Beautiful Buttocks in Female: A Study on the Chinese Population.

BACKGROUND: Many theories referring to the conception of a beautiful buttock have been put forward, but little has been proved, especially in the Asian group. OBJECTIVE: To analyse the aesthetic preference for aesthetically pleasing characteristics in the Chinese population. METHODS: In the survey, we computerized the buttock image of a Chinese female through the Photoshop software (Adobe Photoshop CS5; Adobe Systems, Inc., San Jose, Calif), and buttocks with and without four features were attained. An online questionnaire was made to rank the most aesthetic buttocks. The data for the various demographic groups were compared using the Pearson Chi-square test. A value of p < 0.05 was used for statistical significance. RESULTS: In total, 2348 responses were collected. Over half of the respondents prefer without supragluteal fossettes (56.9%), V-shaped crease (60.4%) and lateral depression (90.1%). The most attractive infragluteal fold option was short type (34.9%), followed by median infragluteal fold (32.7%) and long infragluteal fold (32.4%). Supragluteal fossettes, median or long infragluteal fold and V-shaped crease were more preferred among young people. CONCLUSION: Supragluteal fossettes, V-shaped crease and lateral depressions were not preferred in over half of the respondents. The aesthetic preference was influenced by the gender and age. The plastic surgeons should consider the variabilities above when establishing aesthetic aim for beautiful buttocks in gluteoplasty. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Long-term outcomes of vulvar or vaginal cancer patients undergoing laparoendoscopic single-site inguinal lymphadenectomy.

INTRODUCTION: Laparoendoscopic single-site inguinal lymphadenectomy (LESS-IL), a minimally invasive technique, has been reported in patients with vulvar or vaginal cancer regarding its safety and feasibility. However, the long-term outcomes, especially oncologic outcomes, are still lacking. We aimed to evaluate the long-term outcomes of LESS-IL to confirm its safety further. PATIENTS AND METHODS: Data were prospectively collected from patients with vulvar or vaginal cancer who underwent LESS-IL at our institution between July 2018 and June 2021. The patients were followed up for at least 12 months. All procedures were performed according to treatment standards. Short- and long-term complications and oncologic outcomes were analysed. RESULTS: A total of 16 patients undergoing 28 LESS-IL procedures were identified, amongst whom 4 underwent unilateral LESS-IL. The median numbers of excised groin lymph nodes were 9.0 (6.5-11.8) and 10.5 (8.3-12.0) in each left and right groin, respectively. Short-term complications occurred in 4 (25%) patients, including 18.7% lymphocele and 6.3% wound infection. Long-term complications regarding lower-limb lymphoedema appeared in 6 (37.5%) patients. Most short- and long-term complications were Clavien-Dindo 1 or 2, accounting for 90% of all post-operative issues. After a median follow-up of 27 (21.3-35.8) months, only 1 (6.3%) patient had isolated inguinal recurrence at 13 months postoperatively. No local or distant recurrence occurred. CONCLUSION: Our results suggest that LESS-IL is associated with little incidence of complications and promising oncologic outcomes, further demonstrating the safety and feasibility of the LESS-IL technique in patients requiring IL.

Accelerated 4D-flow MRI with 3-point encoding enabled by machine learning.

PURPOSE: To investigate the acceleration of 4D-flow MRI using a convolutional neural network (CNN) that produces three directional velocities from three flow encodings, without requiring a fourth reference scan measuring background phase. METHODS: A fully 3D CNN using a U-net architecture was trained in a block-wise fashion to take complex images from three flow encodings and to produce three real-valued images for each velocity component. Using neurovascular 4D-flow scans (n = 144), the CNN was trained to predict velocities computed from four flow encodings by standard reconstruction including correction for residual background phase offsets. Methods to optimize loss functions were investigated, including magnitude, complex difference, and uniform velocity weightings. Subsequently, 3-point encoding was evaluated using cross validation of pixelwise correlation, flow measurements in major arteries, and in experiments with data at differing acceleration rates than the training data. RESULTS: The CNN-produced 3-point velocities showed excellent agreements with the 4-point velocities, both qualitatively in velocity images, in flow rate measures, and quantitatively in regression analysis (slope = 0.96, R2  = 0.992). Optimizing the training to focus on vessel velocities rather than the global velocity error and improved the correlation of velocity within vessels themselves. The lowest error was observed when the loss function used uniform velocity weighting, in which the magnitude-weighted inverse of the velocity frequency uniformly distributed weighting across all velocity ranges. When applied to highly accelerated data, the 3-point network maintained a high correlation with ground truth data and demonstrated a denoising effect. CONCLUSION: The 4D-flow MRI can be accelerated using machine learning requiring only three flow encodings to produce three-directional velocity maps with small errors.

Field test of quantum key distribution over aerial fiber based on simple and stable modulation.

We have developed a simple time-bin phase encoding quantum key distribution system, using the optical injection locking technique. This setup incorporates both the merits of simplicity and stability in encoding, and immunity to channel disturbance. We have demonstrated the field implementation of quantum key distribution over long-distance deployed aerial fiber automatically. During the 70-day field test, we achieved approximately a 1.0 kbps secure key rate with stable performance. Our work takes an important step toward widespread implementation of QKD systems in diverse and complex real-life scenarios.

Time-bin phase-encoding quantum key distribution using Sagnac-based optics and compatible electronics.

In this work, we present a new time-bin phase-encoding quantum key distribution (QKD), where the transmitter utilizes an inherently stable Sagnac-type interferometer, and has comparable electrical requirements to existing polarization or phase encoding schemes. This approach does not require intensity calibration and is insensitive to environmental disturbances, making it both flexible and high-performing. We conducted experiments with a compact QKD system to demonstrate the stability and secure key rate performance of the presented scheme. The results show a typical secure key rate of 6.2 kbps@20 dB and 0.4 kbps@30 dB with channel loss emulated by variable optical attenuators. A continuous test of 120-km fiber spool shows a stable quantum bit error rate of the time-bin basis within 0.4%∼0.6% over a consecutive 9-day period without any adjustment. This intrinsically stable and compatible scheme of time-bin phase encoding is extensively applicable in various QKD experiments, including BB84 and measurement-device-independent QKD.

Introduction of Cationic Vacancies into NiFe LDH by In Situ Etching To Improve Overall Water Splitting Performance.

Nickel-iron layered double hydroxide (NiFe LDH) is still one of the hot catalysts for electrochemical water decomposition applications, despite its drawbacks, such as intrinsic activity and poor stability. In this work, the NiFe LDH-D1 electrocatalyst with cationic vacancies is successfully prepared by alkaline etching of Zn ion-doped NiFe LDH. The tightly arranged flocculated nanosheet structure on its surface provided a large active area. The cationic vacancies formed by strong alkaline etching not only promote the conversion of active phases such as NiOOH but also strengthen the stability of the electrode and the binding ability with oxygen so that the material has excellent catalytic properties along with alkaline long-term stability. At a current density of 10 and 100 mA cm-2, NiFe LDH-D1 shows a small voltage of 1.56 and 1.94 V, and at a current density of 200 mA cm-2, it performs well in a 72 h electrochemical water decomposition stability test. The present work demonstrates a simple etching strategy for cation vacancy engineering and provides an example of the construction of efficient bifunctional electrocatalysts with long-term stability.

Surgical Treatment for Chest "Lock" Keloid Using Autologous Split-Thickness Skin Grafting and Postoperative Radiotherapy.

BACKGROUND: The treatment of chest "lock" keloids is challenging due to skin defects and a high recurrence rate. OBJECTIVE: Evaluation of the effectiveness of autologous split-thickness skin graft with local radiotherapy for treating chest "lock" keloids. METHODSAND MATERIALS: Fifty-seven patients with chest "lock" keloids were treated from July 2018 to September 2020. The skin defects were closed with an autologous split-thickness skin graft (STSG) and vacuum sealing drainage. The donor and the recipient sites received the first session of radiotherapy 72 hours postoperation for 3 consecutive days. Patients underwent follow-up examinations 12 months after surgery. The Patient and Observer Scar Assessment Scale (POSAS) was used to assess the treatment outcome. RESULTS: Except for the complaints of pain, which did not improve in the patients' assessments (p = .368), POSAS improved significantly after treatment (p < .0001). The cure rate (including cured and partially cured scars) was 100%. No keloid recurrence was observed during the follow-up period. CONCLUSION: The procedure of treating chest "lock" keloid by keloid debulking and autologous STSG followed by postoperational radiotherapy is a novel combined methodology for treating keloids.

Analysis of Patient-Reported Outcomes After Breast Reconstruction: A Retrospective Study.

OBJECTIVE: This study aimed to investigate the effects of surgical timing, procedure, and age, on complication rates, health-related quality of life, and postoperative satisfaction, in patients who underwent breast reconstruction. METHODS: The data of 80 patients who underwent breast reconstruction surgery between August 2004 and June 2018 were reviewed. Patients were grouped according to surgical timing, procedure, and age. The evaluation indicators included complications and BREAST-Q scores. The statistical methods used included the Mann-Whitney U test and analyses of variance and covariance. RESULTS: The incidence of complications was 15.0% (12/80). The complication rates were similar in each group ( P > 0.05). The postsurgical scores of patient satisfaction with breast, psychosocial well-being, and sexual well-being were higher than the presurgical scores ( P < 0.05). The postoperative psychosocial and sexual well-being scores of patients in the immediate group were higher than those in the delayed group ( P < 0.05). The satisfaction with the outcome in the abdominal flap group was higher than that in the other group, whereas the sexual well-being score of the abdominal flap group was lower than that of the other group ( P < 0.05). The scores of the postoperative physical well-being of the chest and abdomen in the younger group were higher than that in the older group ( P < 0.05). CONCLUSIONS: Breast reconstruction can significantly improve patients' health-related quality of life and satisfaction. Immediate breast reconstruction can reduce the adverse psychological and physical effects that breast loss exerts on patients, leading to better postoperative satisfaction. Patients who underwent breast reconstruction with abdominal flaps had higher postoperative satisfaction. Breast reconstruction in elderly patients was associated with considerable postoperative satisfaction.

Exploring preference and willingness for rural water pollution control: A choice experiment approach incorporating extended theory of planned behaviour.

Rural water pollution control (RWPC) is a crucial issue for developing countries, particularly because of its importance for improving ecosystems, promoting sustainable development, and ultimately contributing to the health and well-being of individuals. This study adopted a choice experiment (CE) to explore farmers' preference and willingness for RWPC and to investigate whether socioeconomic and psychosocial factors can explain differences in farmers' preferences and values governing RWPC. The theory of planned behaviour (TPB) and some additional constructs (risk perception, knowledge, moral norms, and subjective norms) were included in an empirical test that predicts stated choices. The Wei River basin, one of the most water-polluted areas in China, was used as the location for our study. From June to July 2022, we collected the questionnaire responses of 427 farmers who live and work in this area. The results suggested that farmers have significant heterogeneity in their preference for RWPC attributes, but the majority highly value improving water quality through water pollution treatment. The inclusion of TPB and additional constructs in our test explained the behaviour of farmers. Those with high scores tended to already perform RWPC and have a willingness to continue to do so. According to the results of a latent class (LC) model, the average willingness to pay (WTP) per farmer for rural water pollution treatment was 254.69 Chinese yuan (CNY) per year. Excluding biodiversity, the average WTP was 241.55 CNY per year. This study provides a new path for developing countries to promote RWPC and improve local rural environments and the well-being of rural residents.

Emerging Strategies for Enhancing Propionate Conversion in Anaerobic Digestion: A Review.

Anaerobic digestion (AD) is a triple-benefit biotechnology for organic waste treatment, renewable production, and carbon emission reduction. In the process of anaerobic digestion, pH, temperature, organic load, ammonia nitrogen, VFAs, and other factors affect fermentation efficiency and stability. The balance between the generation and consumption of volatile fatty acids (VFAs) in the anaerobic digestion process is the key to stable AD operation. However, the accumulation of VFAs frequently occurs, especially propionate, because its oxidation has the highest Gibbs free energy when compared to other VFAs. In order to solve this problem, some strategies, including buffering addition, suspension of feeding, decreased organic loading rate, and so on, have been proposed. Emerging methods, such as bioaugmentation, supplementary trace elements, the addition of electronic receptors, conductive materials, and the degasification of dissolved hydrogen, have been recently researched, presenting promising results. But the efficacy of these methods still requires further studies and tests regarding full-scale application. The main objective of this paper is to provide a comprehensive review of the mechanisms of propionate generation, the metabolic pathways and the influencing factors during the AD process, and the recent literature regarding the experimental research related to the efficacy of various strategies for enhancing propionate biodegradation. In addition, the issues that must be addressed in the future and the focus of future research are identified, and the potential directions for future development are predicted.

Analysis of Significant Genes and Pathways in Esophageal Cancer Based on Gene Expression Omnibus Database.

Objective To screen antigen targets for immunotherapy by analyzing over-expressed genes, and to identify significant pathways and molecular mechanisms in esophageal cancer by using bioinformatic methods such as enrichment analysis, protein-protein interaction (PPI) network, and survival analysis based on the Gene Expression Omnibus (GEO) database.Methods By screening with highly expressed genes, we mainly analyzed proteins MUC13 and EPCAM with transmembrane domain and antigen epitope from TMHMM and IEDB websites. Significant genes and pathways associated with the pathogenesis of esophageal cancer were identified using enrichment analysis, PPI network, and survival analysis. Several software and platforms including Prism 8, R language, Cytoscape, DAVID, STRING, and GEPIA platform were used in the search and/or figure creation.Results Genes MUC13 and EPCAM were over-expressed with several antigen epitopes in esophageal squamous cell carcinoma (ESCC) tissue. Enrichment analysis revealed that the process of keratinization was focused and a series of genes were related with the development of esophageal cancer. Four genes including ALDH3A1, C2, SLC6A1,and ZBTB7C were screened with significant P value of survival curve.Conclusions Genes MUC13 and EPCAM may be promising antigen targets or biomarkers for esophageal cancer. Keratinization may greatly impact the pathogenesis of esophageal cancer. Genes ALDH3A1, C2, SLC6A1,and ZBTB7C may play important roles in the development of esophageal cancer.

[Clinicopathological Features of Primary Small Cell Neuroendocrine Carcinoma of the Bladder].

Objective To investigate the clinicopathological features,immunohistochemical features,diagnosis,and relationship with sporadic prostate cancer in primary small cell neuroendocrine carcinoma of the bladder. Methods We retrospectively analyzed the clinical characteristics of 12 patients with primary small cell neuroendocrine carcinoma of the bladder diagnosed at Beijing Chao-Yang Hospital affiliated to Capital Medical University from January 2013 to September 2022.The histological features of primary small cell neuroendocrine carcinoma of the bladder were re-evaluated by two pathologists according to the 2022 revision of the World Health Organization Classification of Tumors of the Urinary System and Male Genital Organs.Electronic medical records were retrieved,and telephone follow-up was conducted from the time of histopathological diagnosis to the death or the end of the last follow-up until January 31,2023. Results The 12 patients include 7 patients in pT3 stage and 1 patient in pT4 stage.Eight patients were complicated with other types of tumors,such as high-grade urothelial carcinoma of the bladder and squamous cell carcinoma.Five patients had sporadic prostate cancer.Immunohistochemical staining showed that 12 (100.0%),10 (83.3%),and 8 (66.7%) patients were tested positive for CD56,Syn,and CgA,respectively.The Ki67 proliferation index ranged from 80% to 90%.Five patients with urothelial carcinoma were tested positive for CK20,GATA3,and CK7.P504S was positive in all the 5 patients with prostate cancer,while P63 and 34ßE12 were negative.The follow-up of the 12 patients lasted for 3-60 months.Eight of these patients died during follow-up,with the median survival of 15.5 months.Four patients survived. Conclusions Primary small cell neuroendocrine carcinoma of the bladder is a rare urological tumor with high aggressiveness and poor prognosis.In male patients with bladder prostatectomy,all prostate tissue should be sampled.If prostate cancer is detected,the prostate-specific antigen level should be monitored.

Attitudes and opportunities: comparing climate change adaptation intentions and decisions of agricultural producers in Shaanxi, China, and British Columbia, Canada.

Climate change poses a major challenge for agricultural producers. There are a variety of adaptation strategies producers can use to enhance their resilience to the changing climate. The theory of planned behavior is applied as a framework to compare the adaptation intentions and choices of producers in Cariboo and Okanagan regions of the province of British Columbia (BC), Canada, and Baoji and Xi'an city prefectures of Shaanxi (SX) province, China. In BC, producers are more likely to explore the use of new crop varieties, and BC producers also seem to have a stronger intention to invest in irrigation efficiency. In contrast, producers in SX are far more likely to use online marketing methods to connect directly with consumers. Based on transcripts from a set of focus groups, community meetings, and interviews, differences in attitudes, social norms, and perceived behavioral control between SX and BC producers are identified that may contribute to their different adaptation choices. Multiple barriers to adaptation existed in both areas. Limited technical knowledge and doubts about adaptation effectiveness were more serious in BC, while limited support from local government and normative expectations were notable in SX. Education, targeted research, and public investments in irrigation and marketing may contribute to addressing some of these differences, improving the resilience of agricultural climate adaptation in both provinces.

Motion-corrected 4D-Flow MRI for neurovascular applications.

Neurovascular 4D-Flow MRI has emerged as a powerful tool for comprehensive cerebrovascular hemodynamic characterization. Clinical studies in at risk populations such as aging adults indicate hemodynamic markers can be confounded by motion-induced bias. This study develops and characterizes a high fidelity 3D self-navigation approach for retrospective rigid motion correction of neurovascular 4D-Flow data. A 3D radial trajectory with pseudorandom ordering was combined with a multi-resolution low rank regularization approach to enable high spatiotemporal resolution self-navigators from extremely undersampled data. Phantom and volunteer experiments were performed at 3.0T to evaluate the ability to correct for different amounts of induced motions. In addition, the approach was applied to clinical-research exams from ongoing aging studies to characterize performance in the clinical setting. Simulations, phantom and volunteer experiments with motion correction produced images with increased vessel conspicuity, reduced image blurring, and decreased variability in quantitative measures. Clinical exams revealed significant changes in hemodynamic parameters including blood flow rates, flow pulsatility index, and lumen areas after motion correction in probed cerebral arteries (Flow: P<0.001 Lt ICA, P=0.002 Rt ICA, P=0.004 Lt MCA, P=0.004 Rt MCA; Area: P<0.001 Lt ICA, P<0.001 Rt ICA, P=0.004 Lt MCA, P=0.004 Rt MCA; flow pulsatility index: P=0.042 Rt ICA, P=0.002 Lt MCA). Motion induced bias can lead to significant overestimation of hemodynamic markers in cerebral arteries. The proposed method reduces measurement bias from rigid motion in neurovascular 4D-Flow MRI in challenging populations such as aging adults.

Pyrolysis characteristics of biodried products derived from municipal organic wastes: Synergistic effect of bulking agents and modification of biodegradation.

Derived from the biodrying of municipal organic wastes (MOWs), biodried products (BPs) are widely identified as renewable energy sources. In this study, for efficient energy recovery, the pyrolysis characteristics of BPs were investigated by comprehensive kinetic analysis, with special focus on the synergistic effect of bulking agents and the influence of biodegradation. Compared with theoretical raw materials (RMs), it was suggested that the synergistic effect of organics and lignocelluloses in RMs promoted decomposition in Stage 1 (400-570 K), especially for the pyrolysis of RM using sawdust, during which the positive effect achieved decomposition in advance with lower overlap ratio (0.9264) and ΔW (-9.50% at 619.0 K) values. Furthermore, compared with RMs, it was indicated that the kinetic indices (Ea and ln A values) of the BPs were upward in Stage 1 and decreased in Stage 2 due to biodegradation. The results of ΔH, ΔG and ΔS indicated that BP pyrolysis required more heat supply as the reaction progressed but formed a more organized activated complex. In addition, biodegradation observably decreased the generation of gas products and typical functional groups of volatiles during BP pyrolysis, such as CO2 and CO, which presented decreasing ratios of 32.18-42.47% and 30.25-46.47%, respectively. In general, the pyrolysis of BPs was intensified by bulking agents and modified by biodegradation.

Identification of 4 immune cells and a 5-lncRNA risk signature with prognosis for early-stage lung adenocarcinoma.

BACKGROUND: Lung cancer is the most common cancer and cause of cancer-related mortality worldwide, increasing evidence indicated that there was a significant correlation between tumors and the long non-coding RNAs (lncRNAs), as well as tumor immune infiltration, but their role in early lung adenocarcinoma (LUAD) are still unclear. METHODS: Gene expression data and corresponding clinical data of early-stage LUAD patients were downloaded from GEO and TCGA databases. 24 kinds of tumor-infiltrating immune cells were analyzed by quantity analysis and univariate cox regression analysis, we divided patients into two subgroups using consensus clustering, recognized the differentially expressed genes (DEGs) in the subgroups, then, established lncRNA risk signature by least absolute shrinkage and selection operator (LASSO) regression. RESULTS: A total of 718 patients were enrolled in this study, including 246 from GSE31210 dataset, 127 from GSE50081 dataset and 345 from TCGA-LUAD. We identified that Th2 cells, TFH, NK CD56dim cells and Mast cells were prognosis-related(p < 0.05), then established a 5-lncRNA risk signature (risk score = 0.374600616* LINC00857 + 0.173825706* LINC01116 + (- 0.021398903)* DRAIC + (- 0.113658256)* LINC01140 + (- 0.008403702)* XIST), and draw a nomogram showed that the signature had a well prediction accuracy and discrimination. CONCLUSIONS: We identified 4 immune infiltrating cells related to the prognosis of early-stage LUAD, and established a novel 5 immune-related lncRNA signature for predicting patients' prognosis.

Spatial dependency and the role of local susceptibility for velocity selective arterial spin labeling (VS-ASL) relative tagging efficiency using accelerated 3D radial sampling with a BIR-8 preparation.

PURPOSE: Velocity selective arterial spin labeling (VS-ASL) is a promising approach for non-contrast perfusion imaging that provides robustness to vascular geometry and transit times; however, VS-ASL assumes spatially uniform tagging efficiency. This work presents a mapping approach to investigate VS-ASL relative tagging efficiency including the impact of local susceptibility effects on a BIR-8 preparation. METHODS: Numerical simulations of tagging efficiency were performed to evaluate sensitivity to regionally varying local susceptibility gradients and blood velocity. Tagging efficiency mapping was performed in susceptibility phantoms and healthy human subjects (N = 7) using a VS-ASL preparation module followed by a short, high spatial resolution 3D radial-based image acquisition. Tagging efficiency maps were compared to 4D-flow, B1 , and B0 maps acquired in the same imaging session for six of the seven subjects. RESULTS: Numerical simulations were found to predict reduced tagging efficiency with the combination of high blood velocity and local gradient fields. Phantom experiments corroborated numerical results. Relative efficiency mapping in normal volunteers showed unique efficiency patterns depending on individual subject anatomy and physiology. Uniform tagging efficiency was generally observed in vivo, but reduced efficiency was noted in regions of high blood velocity and local susceptibility gradients. CONCLUSION: We demonstrate an approach to map the relative tagging efficiency and show application of this methodology to a novel BIR-8 preparation recently proposed in the literature. We present results showing rapid flow in the presence of local susceptibility gradients can lead to complicated signal modulations in both tag and control images and reduced tagging efficiency.

Enriching the nutritive value of marigold (Tagetes erecta L) crop residues as a ruminant feed by lactic acid bacteria during ensilage.

BACKGROUND: Marigold (Tagetes erecta L) accounts for over half of the world's loose flower production, and marigold crop residue (MCR) are abundantly available and should be used as a forage. In this study, MCR from the last commercial flower pickings was ensilaged with lactic acid bacteria (LAB) and the shift in their volatile organic compounds (VOCs) profiles was monitored. Samples were collected at 6 different times during ensilage (3, 6, 9, 12, 15, 30 days) to determine and quantify the VOCs changes using a solid-phase microextraction (SPME) technique and gas chromatography - mass spectrometry (GC-MS). RESULTS: After 30 days, the caryophyllene and piperitone, which account for 14.7 and 12.1% of total VOCs, decreased by 32.9 and 9.6% respectively, alcohols increased from 2.8 to 8.1%, and the acetic acid content increased by 560%. CONCLUSION: We have confirmed LAB can degrade the content of terpenes and enhance the content of alcohols and acids in MCR, which was for the first time on terpene degradation in fodder by ensilage. These results have shed light on our understanding of how to improve fodder odor and to enhance terpene degradation by lactic acid bacteria fermentation.

Surgical Management of Postmastectomy Lymphedema and Review of the Literature.

ABSTRACT: Upper limb lymphedema is one of the most common complications after breast cancer surgery and radiotherapy. At present, physical methods and surgical methods can be used for treatment. Surgical operations are mainly based on lymphovenous anastomosis and vascularized lymph node transfer. For these 2 surgical methods, we analyzed and compared the literature review and our own clinical experience. We summarized the differences between the 2 surgical techniques and the selection methods. We hope to help more young plastic surgeons and breast doctors understand how to treat upper limb lymphedema through surgical methods and help patients improve their quality of life.

[Application and Progress of Convolutional Neural Network-based Pathological Diagnosis of Gastric Cancer].

The incidence of gastric cancer is the highest among all kinds of malignant tumors in China. Because gastric cancer is very hard to identify in its early stage, the early diagnosis rate of gastric cancer in China is relatively low. At present, the pathological diagnosis of gastric cancer mainly depends on the diagnosis of pathologists. However, the gradual improvement of people's living standards and the growing demand for medical and health care have exacerbated the shortage of medical resources, which has become a even more serious problem. Therefore, there is an urgent need for new technologies to help deal with this challenge. In recent years, with the rapid development of artificial intelligence (AI) and digital pathology, AI-aided pathological diagnosis based on convolutional neural network (CNN) as the core technology is showing promises for improving the diagnostic efficiency of gastric cancer. It is also of great significance for the early diagnosis and treatment of the disease and the reduction of its high incidence and mortality. We herein summarize the application and progress of deep-learning CNN in pathological diagnosis of gastric cancer, as well as the existing problems and prospects of future development.