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61.
目的对比研究腹腔镜下外生性肾血管平滑肌脂肪瘤"蘑菇状"剜除与标准肾部分切除术的安全性及有效性,为肾血管平滑肌脂肪瘤腹腔镜下"蘑菇状"剜除术术式的建立提供临床依据。
方法选取海南医学院第二附属医院与解放军总医院2018年1月至2019年5月期间,接受腹腔镜手术的肾血管平滑肌脂肪瘤患者53例,其中25例沿肿瘤假包膜行"蘑菇状"剜除术(A组)、28例行肾部分切除术(B组)。比较两组手术患者的肾动脉阻断时间、手术时间、术中出血量、术后24 h血红蛋白、术后eGFR(estimated glomerular filtration rate,估计肾小球率过滤)的变化、术后住院时间和术后肿瘤复发率。
结果53例手术无术中转开放,无死亡病例。肾动脉阻断时间:A组(11.9±2.2)min、B组(21.5±6.5) min(P<0.001)。手术时间:A组(87.9±24.8)min、B组(114.3±38.9) min(P<0.001)。术中出血量:A组20 ml(20~40)ml、B组50 ml(50~100)ml(P<0.001)。术后24 h血红蛋白变化:A组(7.4±4.3) g/L、B组(12.4±8.8) g/L(P=0.013)。术后24 h eGFR变化:A组(6.2±7.2 )ml(min·1.73 m2),B组(12.7±12.8)ml(min·1.73 m2)(P=0.027)。术后6个月eGFR变化:A组(1.5±3.7)ml(min·1.73 m2)、B组(6.5±5.6)ml(min·1.73 m2)(P<0.001)。术后住院时间:A组4.0 d(3~4)d、B组4.5 d(3~6)d(P=0.023)。术后随访两组术后肿瘤均无复发。
结论采用腹腔镜"蘑菇状"剜除术治疗外生性肾血管平滑肌脂肪瘤在肾动脉阻断时间、术中出血量、术后24 h血红蛋白、术后eGFR变化、术后住院时间等方面均优于传统肾部分切除术,两组术后肿瘤均无复发;该方法安全、有效,适于临床推广。 相似文献
62.
This study utilizes a psychophysical approach to examine the effects on
carrying capacity for bi-manual carrying tasks involving different handle positions and
carrying ranges. A total of 16 female subjects participated in the experiment in groups of
two people, and each group of subjects performed the tasks in a random order with 12
different combinations of carrying task. The independent variables are handle position
(upper, middle, lower) and carrying range (F–F: floor height carried to floor height, F–W:
floor height carried to waist height, W–W: waist height carried to waist height, W–F:
waist height carried to floor height), the dependent variable is the maximum acceptable
carried weight (MAWC), heart rate (HR), and the rating of perceived exertion (RPE). The
results show that the handle position has a significant effect on MAWC and overall RPE but
no significant effect on HR. Carrying range has a significant effect on the MAWC and HR,
but no significant effect on overall HR. The handle position and carrying range have a
significant interaction on the MAWC and HR. The RPE for different body parts shows
significant differences, and the hands feel the most tired. Overall, this study confirms
that the lower handle position with the W–W carrying range is the best combination for a
two-person carrying task. 相似文献
63.
64.
目的:探讨醛-酮还原酶家族7成员A3(AKR7A3)在肺腺癌中的异常表达及与临床病理特征的关系,并探究其临床意义。方法:采用生物信息学数据库分析、免疫组化、Western Blot、Real-time PCR等方法对肺腺癌组织及不同细胞中AKR7A3的表达进行检测与分析。结果:Oncomine数据库分析结果显示,在肺腺癌中,AKR7A3的表达普遍高于正常肺组织,分别为正常肺组织的1.811倍(P=0.022)、1.356倍(P<0.01)、1.413倍(P=0.002)。Kaplan-Meier Plotter数据库分析结果显示,AKR7A3高表达的患者较低表达的患者生存时间缩短,差异具有统计学意义(P=0.003 7)。免疫组化染色显示肺腺癌组织中AKR7A3的表达较癌旁增高,在与临床病理特征的相关性分析中,发现其与肿瘤分化程度(P<0.01)、淋巴结转移情况(P=0.029)以及TNM分期(P<0.01)相关,且会造成患者生存时间缩短(P=0.031)。Cox多因素分析表明AKR7A3可能是影响肺腺癌患者预后的独立危险因素(P=0.012)。Western Blot及Real-time PCR实验提示不同肺腺癌细胞中AKR7A3蛋白及mRNA表达普遍增高。结论:AKR7A3在肺腺癌中表达增高,对预后有不良影响,有促进肿瘤发生发展的作用。 相似文献
65.
66.
The significance of hepatobiliary scintigraphy (HBS) for hepatic graft function assessment was established mostly on retrospective studies and was not widely recognized due to the lack of quantitative data and variation in accuracy. This prospective study was performed to investigate the effectiveness of quantitative HBS for assessing hepatocyte dysfunction and biliary complication in liver transplant recipients.In 57 recipients who had undergone orthotopic liver transplantation, a total of 67 dynamic 99mTc-EHIDA scans were performed and quantitative parameters including the hepatocyte extraction fraction (HEF), time to maximum hepatic radioactivity (Tmax), and time for peak activity to decrease by 50% (T1/2) were calculated. The scintigraphic results based on the 3 parameters were compared against the final diagnosis. A ROC curve analysis was carried out to identify the cutoff value of Tmax for diagnosis of biliary stricture. Correlation between the parameters of postoperative HBS and conventional biochemical liver function indices were also analyzed.Quantitative 99mTc-EHIDA HBS had an overall sensitivity of 94.12% (16/17), specificity of 93.33% (42/45), and diagnostic accuracy of 93.55% (58/62) for detecting hepatocyte dysfunction and biliary complication in liver transplant recipients. The recommended cutoff value of Tmax for diagnosis of post-transplant biliary stricture was set at 15.75 min with a sensitivity of 100.0% and a specificity of 94.0%. The scintigraphic parameters (HEF, Tmax) were statistically significantly associated with the conventional liver function parameters.Quantitative 99mTc-EHIDA HBS offers a noninvasive imaging modality with high sensitivity and specificity to diagnose hepatocyte dysfunction as well as distinguish between patients with or without biliary stricture following liver transplantation. Furthermore, HEF and Tmax values obtained from dynamic HBS show good correlation with conventional liver function parameters. 相似文献
67.
目的 探讨膝骨美节炎(KOA)患者美节滑液中IL 17的水平与疾病严重程度的相关性,为临床诊治KOA 提供新思路及新方法。方法 选取2017年1月?2018年12月南充市中心医院康复科收治的15。例膝骨美节炎患者作 为实验组,同时纳入30例健康志愿者作为对照组。实验组釆用视觉模拟量表(VAS)评价膝关节的疼痛程度,采用膝关 节学会评分系统(KSS)评价膝关节的功能及采用Kellgren Lawrence (KL)分级系统评价膝关节X线严重程度,通过 ELISA试验检测两组膝关节滑液中IL17的水平。采用Spearman相关分析KOA患者关节滑液中IL 17水平与膝关节 疼痛程度、膝关节功能及X线严重程度的相关性。结果 实验组关节滑液中IL17的水平明显高于对照组(P <0. 05). IL 17水平在滕美节炎KL分级之间比较,差异无统计学差异(P>0. 05)。IL 17的水平与膝关节VAS评分呈正相关 (P=0. 914,P<0.01),IL 17的水平与KSS呈负相关(P=—0. 847,P<0. 01), IL 17的水平与KL分级无相关性(r = 0.050,P= 0.545)。结论 IL 17可反应膝骨关节炎患者疼痛程度及功能损伤程度,但不能反映疾病的X线严重程度。 IL 17可作为一个生化指标反应膝关节炎疼痛程度及膝关节功能,临床通过减少关节滑液中IL 17,可能会减轻膝骨关 节炎患者的临床症状。 相似文献
68.
Yi Su Suey S.Y. Yeung Yu-Ming Chen Jason C.S. Leung Timothy C.Y. Kwok 《Journal of bone and mineral research》2022,37(6):1179-1187
Inflammation, an important contributory factor of muscle and bone aging, is potentially modulated by diet. This study examined the associations of dietary inflammatory index (DII) score with musculoskeletal parameters and related disease outcomes in 3995 community-dwelling Chinese men and women aged ≥65 years in Hong Kong. DII score at baseline was estimated from a food frequency questionnaire. Bone mineral density (BMD) and muscle mass estimated by dual-energy X-ray absorptiometry (DXA), hand grip strength, gait speed, and chair stand test were measured at baseline, year 4, and year 14. The associations of DII score with the longitudinal changes of musculoskeletal parameters, and incidence of osteoporosis, sarcopenia, and fractures were examined by using general linear model, multinomial logistic regression model, and Cox proportional hazards regression model, respectively. After multiple adjustments, each tertile increase in DII score in men was associated with 0.37 (95% confidence interval [CI], 0.10–0.64) kg loss in grip strength and 0.02 (95% CI, 0.01–0.03) m/s loss in gait speed over 4 years. In men, the highest tertile of DII was associated with a higher risk of incident fractures, with adjusted and competing death adjusted hazard ratio (HR) (95% CI) of 1.56 (1.14–2.14) and 1.40 (1.02–1.91), respectively. In women, DII score was not significantly associated with any muscle-related outcomes or incidence of fracture, but a significant association between higher DII score and risk of osteoporosis at year 14 was observed, with the highest tertile of DII score having adjusted odds ratio (OR) (95% CI) of 1.90 (1.03–3.52). In conclusion, pro-inflammatory diet consumption promoted loss of muscle strength and physical function, and increased risk of fractures in older Chinese men. Pro-inflammatory diets had no significant association with muscle related outcomes but increased the long-term risk of osteoporosis in older Chinese women. © 2022 American Society for Bone and Mineral Research (ASBMR). 相似文献
69.
70.
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
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Yufei Wang Ziju Shen Zichao Long & Bin Dong 《Communications In Computational Physics》2020,28(5):2158-2179
Conservation laws are considered to be fundamental laws of nature. It has
broad applications in many fields, including physics, chemistry, biology, geology, and
engineering. Solving the differential equations associated with conservation laws is a
major branch in computational mathematics. The recent success of machine learning,
especially deep learning in areas such as computer vision and natural language processing, has attracted a lot of attention from the community of computational mathematics and inspired many intriguing works in combining machine learning with traditional methods. In this paper, we are the first to view numerical PDE solvers as an
MDP and to use (deep) RL to learn new solvers. As proof of concept, we focus on
1-dimensional scalar conservation laws. We deploy the machinery of deep reinforcement learning to train a policy network that can decide on how the numerical solutions should be approximated in a sequential and spatial-temporal adaptive manner.
We will show that the problem of solving conservation laws can be naturally viewed
as a sequential decision-making process, and the numerical schemes learned in such a
way can easily enforce long-term accuracy. Furthermore, the learned policy network
is carefully designed to determine a good local discrete approximation based on the
current state of the solution, which essentially makes the proposed method a meta-learning approach. In other words, the proposed method is capable of learning how to
discretize for a given situation mimicking human experts. Finally, we will provide details on how the policy network is trained, how well it performs compared with some
state-of-the-art numerical solvers such as WENO schemes, and supervised learning
based approach L3D and PINN, and how well it generalizes. 相似文献