Objective: To analyze the anatomical characteristics of the adrenal veins through adrenal venography to improve the success rate of adrenal venography (AVS). Methods: This study was a cross-sectional study. Patients who were diagnosed with primary aldosteronism and underwent AVS from January 2019 to October 2023 at the First Affiliated Hospital of Dalian Medical University were included. Adrenal vein imaging was collected from the enrolled patients. We performed statistical analysis on the adrenal vein orifice position, inflow angle, and adrenal venography morphology. The adrenal venous orifice was defined as the location where the catheter was placed at the end of the calm inhalation. Spearman correlation analysis was used to explore the relationship between the positions of bilateral adrenal vein orifices and body mass index (BMI). Results: A total of 282 patients with successful bilateral AVS and complete bilateral adrenal vein imaging were enrolled, of whom 57.1% (161/282) were male and the age was (53.3±10.7) years old. The orifice of the left adrenal vein was located between the middle segment of the 11th thoracic vertebra and the upper segment of the 2nd lumbar vertebra. The inflow angle relative to the position of the orifice was all leftward and upward. The orifice of the right adrenal vein was located between the upper segment of the 11th thoracic vertebra and the lower segment of the 1st lumbar vertebra, and 91.1% (257/282) had a rightward and downward angle of inflow relative to the position of the orifice. The position of the adrenal vein orifices on both the left (r=0.211, P<0.001) and right (r=0.196, P=0.001) showed positive correlation with BMI. The position of the right adrenal vein orifice also increased with the position of the left adrenal orifice (r=0.530, P<0.001). The most common adrenal venography morphology on the right side was triangular (36.5%, 103/282), while the most common venography morphology on the left side was glandular (66.3%, 187/282). Conclusions: The anatomical morphology of adrenal veins are diverse. Being familiar with the morphological characteristics of the adrenal vein and identifying the adrenal vein accurately during surgery has important clinical value in improving the success rate of AVS.
目的： 通过肾上腺静脉造影分析肾上腺静脉的解剖形态特征，以提高肾上腺静脉取血成功率。 方法： 本研究为横断面研究。选取2019年1月至2023年10月于大连医科大学附属第一医院确诊为原发性醛固酮增多症并行肾上腺静脉取血的患者。收集入选患者的肾上腺静脉影像资料，统计分析肾上腺静脉开口位置、流入角度和肾上腺静脉形态。肾上腺静脉开口位置定义为平静吸气末导管位置。采用Spearman相关性分析探讨两侧肾上腺静脉开口位置的关系及其与体重指数的相关性。 结果： 纳入282例双侧肾上腺静脉取血成功且双侧肾上腺静脉显影完全的患者，男性占比57.1%（161/282），年龄（53.3±10.7）岁。左侧肾上腺静脉开口位于第11胸椎中段至第2腰椎上段，其相对于开口位置的流入角度均为向左向上。右侧肾上腺静脉开口位于第11胸椎上段至第1腰椎下段，91.1%（257/282）相对于开口位置的流入角度是向右向下的。左（r=0.211，P<0.001）、右（r=0.196，P=0.001）两侧肾上腺静脉开口位置均随体重指数增大而增高。右侧肾上腺静脉开口位置随左侧肾上腺开口位置增高而增高（r=0.530，P<0.001）。右侧肾上腺静脉造影形态以三角型最为常见［36.5%（103/282）］，而左侧以腺体型最为常见［66.3%（187/282）］。 结论： 肾上腺静脉解剖形态多样。熟悉肾上腺静脉形态特点，术中快速准确判别肾上腺静脉对提高肾上腺静脉取血成功率有重要临床价值。.

Finger vein recognition methods, as emerging biometric technologies, have attracted increasing attention in identity verification due to their high accuracy and live detection capabilities. However, as privacy protection awareness increases, traditional centralized finger vein recognition algorithms face privacy and security issues. Federated learning, a distributed training method that protects data privacy without sharing data across endpoints, is gradually being promoted and applied. Nevertheless, its performance is severely limited by heterogeneity among datasets. To address these issues, this paper proposes a dual-decoupling personalized federated learning framework for finger vein recognition (DDP-FedFV). The DDP-FedFV method combines generalization and personalization. In the first stage, the DDP-FedFV method implements a dual-decoupling mechanism involving model and feature decoupling to optimize feature representations and enhance the generalizability of the global model. In the second stage, the DDP-FedFV method implements a personalized weight aggregation method, federated personalization weight ratio reduction (FedPWRR), to optimize the parameter aggregation process based on data distribution information, thereby enhancing the personalization of the client models. To evaluate the performance of the DDP-FedFV method, theoretical analyses and experiments were conducted based on six public finger vein datasets. The experimental results indicate that the proposed algorithm outperforms centralized training models without increasing communication costs or privacy leakage risks.

暂无摘要。

Residual intravenous foreign bodies following hand trauma are relatively rare; only a few previous reports of this situation are available. It has been reported that foreign bodies often migrate to the heart and atrium dextrum. Herein, we report a recent case of needle breakage in the dorsal vein of the hand that was removed with lignification using an intraoperative C-arm fluoroscopy machine and tape tourniquet to avoid proximal movement during removal. The mandate should be to remove within the capacity allowed so that rare cases and terrible complications can be avoided. The case was seen at The Yanji City, Jilin Province, China at the Yanbian University Hospital emergency at February 20, 2023.

Accurate cannulation of the adrenal vein is challenging during adrenal venous sampling (AVS) because of the variations in adrenal vein anatomy. This study aimed to investigate the adrenal venous morphology in Chinese and improve the success rate of AVS. A total of 221 participants with primary aldosteronism (PA) who underwent AVS were enrolled. Compare the morphology among subgroups divided according to sex, body mass index (BMI), and with or without adenoma. The success rate of right, left, and bilateral AVS was 98.60%, 97.20%, and 96.85%, respectively. The triangular pattern was the most common (39.37%) on the right side, while the glandlike pattern (70.14%) on the left. The proportion of adrenal venous morphology varies among patients with different sexes (χ2 = 21.335, P < .001), BMI (χ2 = 10.642 P = .031), and with or without adenoma (χ2 = 10.637, P = .031) on the right side, and the male, obese and adenoma group showed a higher proportion of glandlike pattern than triangular pattern. If only dependent on computed tomography, 9.05% of patients incorrectly diagnose the dominant side, 14.48% of patients would have inappropriate surgery meanwhile 25.34% of patients would miss the surgical opportunity. In conclusion, the most common types of right and left adrenal venous morphology were triangular pattern and glandlike pattern, respectively. Sex, BMI, and the presence of adenoma affected right adrenal venous morphology. Adequate knowledge of the adrenal venous morphology is critical for improving the success rate of AVS and making an appropriate treatment for PA.

To address several common problems of finger vein recognition, a lightweight finger vein recognition algorithm by means of a small sample has been proposed in this study. First of all, a Gabor filter is applied to deal with the images for the purpose of that these processed images can simulate a kind of situation of finger vein at low temperature, such that the generalization ability of the algorithm model can be improved as well. By cutting down the amount of convolutional layers and fully connected layers in VGG-19, a lightweight network can be given. Meanwhile, the activation function of some convolutional layers is replaced to protect the network weight that can be updated successfully. After then, a multi-attention mechanism is introduced to the modified network architecture to result in improving the ability of extracting important features. Finally, a strategy based on transfer learning has been used to reduce the training time in the model training phase. Honestly, it is obvious that the proposed finger vein recognition algorithm has a good performance in recognition accuracy, robustness and speed. The experimental results show that the recognition accuracy can arrive at about 98.45%, which has had better performance in comparison with some existing algorithms.

During our previous bilateral adrenal vein sampling (AVS) procedure, the authors observed that accessing the left adrenal vein through the antecubital vein was more feasible than the conventional femoral vein. Meanwhile, the femoral vein pathway facilitated access to the right adrenal vein than the antecubital vein pathway. Therefore, the authors hypothesized that simultaneous bilateral AVS via the antecubital combined with the femoral vein pathway could improve the success rate. A total of 94 cases of AVS via the antecubital combined with the femoral vein pathway were performed, while the remaining 20 cases employed the antecubital vein pathway at our center between August 2020 and April 2023. Furthermore, a meta-analysis was conducted in this study using 15 selected articles to determine the success rate of AVS in each center and pathway. The success rate of ACTH-stimulated simultaneous bilateral AVS via the antecubital vein combined with the femoral vein pathway was 92.85% (P = .503) on the right and 95.00% (P < .001) on the left. In the antecubital vein pathway, the success rates were only 25.00% (P < .001) on the right side and 80.00% (P = .289) on the left side. The results of meta-analysis demonstrated a success rate of 78.16% on the right and 94.98% on the left for ACTH-stimulated AVS via the femoral vein pathway. Based on our center\'s experience, simultaneous bilateral adrenal vein sampling via the combined pathway could improve the success rate of AVS in the short term and shorten the learning curve.

With the development of biometric identification technology, finger vein identification has received more and more widespread attention for its security, efficiency, and stability. However, because of the performance of the current standard finger vein image acquisition device and the complex internal organization of the finger, the acquired images are often heavily degraded and have lost their texture characteristics. This makes the topology of the finger veins inconspicuous or even difficult to distinguish, greatly affecting the identification accuracy. Therefore, this paper proposes a finger vein image recovery and enhancement algorithm using atmospheric scattering theory. Firstly, to normalize the local over-bright and over-dark regions of finger vein images within a certain threshold, the Gamma transform method is improved in this paper to correct and measure the gray value of a given image. Then, we reconstruct the image based on atmospheric scattering theory and design a pixel mutation filter to segment the venous and non-venous contact zones. Finally, the degraded finger vein images are recovered and enhanced by global image gray value normalization. Experiments on SDUMLA-HMT and ZJ-UVM datasets show that our proposed method effectively achieves the recovery and enhancement of degraded finger vein images. The image restoration and enhancement algorithm proposed in this paper performs well in finger vein recognition using traditional methods, machine learning, and deep learning. The recognition accuracy of the processed image is improved by more than 10% compared to the original image.

OBJECTIVE: We investigated the feasibility and efficacy of assessing calf perforating veins (PVs) using the ankle pump in a sitting position (AP-sit) method by color Doppler ultrasound.
METHODS: We performed a multicenter prospective clinical trial between November 2022 and October 2023. Eligible patients with chronic venous disease and healthy controls were enrolled. The calf PVs were assessed using three different methods: manual compression in a standing position, manual compression in a sitting position, and AP-sit method. The reflux durations and detection rate of incompetent PVs (IPVs) were compared among the three methods. The number and diameter of calf PVs and distribution of IPVs were analyzed.
RESULTS: A total of 50 patients with chronic venous disease and 50 healthy controls were included. There were 173 calves analyzed, including 97 healthy calves and 76 calves with chronic venous disease. The number of PVs per calf was higher in the diseased calves (median, 7.0; interquartile range [IQR], 6.0-8.0) than in the healthy calves (median, 5.0; IQR, 3.0-6.0; P < .001). The diameter of IPVs (median, 2.3 mm; IQR, 2.0-3.1 mm) was larger than that of competent PVs (median, 1.4 mm; IQR, 1.2-1.7 mm). Most of the IPVs (78.8%) were located in the medial and posterior middle of the calf. The reflux duration induced by the AP-sit method was greater than that induced by the manual compression methods (P < .001). Although the AP-sit method had a higher detection rate (92.0%) of IPVs than the manual compression methods (71.7% and 74.3% for standing and sitting, respectively; P < .001), especially in the distal lower leg, the manual compression methods found IPVs not found using the AP-sit method.
CONCLUSIONS: Diseased calves with chronic venous disease have more PVs than do healthy calves. IPVs are commonly larger than competent PVs, with most IPVs located in the medial and posterior middle of the calf. Most importantly, the AP-sit method provides a convenient and effective approach for assessing the calf PVs, especially those located in the distal calf, as an alternative or complementary method to traditional manual compression, which is valuable in the daily practice of sonographers.

暂无摘要。