AIM:To evaluate the significance of hsp90α expression in human gastric cancer tissues.METHODS: lmmunohistochemical staining was used in clinical specimens from 33 cases of gastric cancer and 33 cases of gastritis with rabbit anti-human hsp90α multi-clonal antibody in order to explore the relationship between the expression of hsp90α in gastric carcinoma tissue and gastritis tissue as well as in mucous membrane adjacent to cancer and lymph node metastasis. RESULTS:Hsp90α was detected in 88 % of gastric carcinoma cases and 55 % of gastritis cases. The hsp90α positive rate in gastric cancer group was significantly higher than that in gastritis group (P<0.01, P=0.005). The hsp90α positive rate in gastric cancer and in mucous membrane adjacent to cancer was 88 % and 55 % respectively (P<0.01,P=0.005). The hsp90α positive rate in lymph node metastasis group and non-lymph node metastasis group was 100 % and 60 % respectively, and a significant correlation between hsp90α expression and lymph node metastasis was shown (P<0.01, P=0.005). CONCLUSION:The hsp90α expression rate in gastric cancer group was significantly higher than that in gastritis group as well as that in the group of mucous membrane adjacent to cancer. The hsp90α expression in lymphatic node metastasis group was higher than that in non-lymphatic node metastasis group. The results indicate that increased hsp90α expression has a close relationship with occurrence and lymph node metastasis of gastric cancer.Zuo DS, Dai J, Bo AH, Fan J, Xiao XY. Significance of expression of heat shock protein90α in human gastric cancer. World J Gastroenterol 2003; 9(11): 2616-2618

BACKGROUND: The contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) is a relative new algorithm for hepatocellular carcinoma (HCC) assessment. OBJECTIVE: To validate the diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for HCC. METHODS: Archives of 873 patients with focal liver lesions (FLLs) undergoing CEUS were reviewed, and target images were read by two sonologists independently according to the CEUS LI-RADS. The diagnostic performance was calculated and compared. RESULTS: Assessment with reference to CEUS LI-RADS, 87 of 218 FLLs (39.9%) were categorized as LR-5, 131 of 218 FLLs (60.1%) were categorized as non-LR-5, 19 of 99 HCCs were categorized as non-LR-5, and 7 of 119 non-HCCs were categorized as LR-5. The sensitivity, specificity, AUROC, positive and negative predictive values of CEUS LI-RADS for diagnosing HCC were 80.81%(95%CI: 71.7%–88.0%), 94.1%(95%CI: 88.3%–97.6%), 0.87 (95%CI: 0.82–0.92), 91.9%(95%CI: 84.1%–96.7%), and 85.5%(95%CI: 78.3%–91.0%), respectively. CONCLUSIONS: The diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for the evaluation of HCCs is very good.

Sonography has been globally used for the assessment of the liver, and because of these imaging evaluations, focal liver lesions have been incidentally discovered. The initial identification of a focal liver lesion is usually based on its sonographic characteristics. Typically, the rim at the periphery of focal liver lesions can present as isoechoic, hypoechoic, marked hypoechoic, and/or hyperechoic. The hyperechoic rim of a focal liver lesion has a higher echogenicity than both the internal architecture and the liver parenchyma. Previous reports have indicated that a hyperechoic rim can be noted in a liver hemangioma, regenerative cirrhosis nodule, and hepatocellular carcinoma (HCC). 1-6 However, clinically, it rarely presents with other focal liver lesions, except hepatic cavernous hemangioma. Unfortunately, the distribution of a sonographic hyperechoic rim associated with a focal liver lesion remains unaddressed in the literature. It may be diagnostically helpful to deliberately analyze the sonographic appearance of a hyperechoic rim when assessing solid focal liver lesions and may also help to narrow further investigation. The objective of this study was to investigate the prevalence as well as the implications of a sonographic hyperechoic rim appearance in association with solid focal liver lesions. Materials and Methods Study Population An audit of the archived medical record of patients referred for an inpatient liver sonogram was performed between January 2011 and March 2018. The patients' data and sonographic images were obtained from the Hospital Information Systems and Picture Archiving and Communication Systems (PACS). Two sonologists, who were not responsible for interpretation of the images, collected the cases for review. If a patient received several liver sonograms, the patient was still counted as one case. The inclusion criteria included patients who underwent a 798365J DMXXX10.

Orderly power utilization (OPU) is an important measure to alleviate contradiction between supply and demand in a power system peak load period. As a load management system becomes smarter, it is necessary to fully explore the interactive ability among users and make schemes for OPU more applicable. Therefore, an intelligent multi-agent apanage management system that includes a mutual aid mechanism (MAM) is proposed. In the decision-making scheme, users’ participation patterns and the potential of peak shifting and willingness are considered, as well as the interests of both power consumers and power grid are comprehensively considered. For residential users, the charging time for their electric vehicles (EVs) is managed to consume the locally distributed power generation. To fully exploit user response potential, the algorithm for improved clustering by fast search and find of density peaks (I-CFSFDP), i.e., clusters the power load curve, is proposed. To conduct electrical mutual aid among users and adjust the schemes reasonably, a multi-objective optimization model (M2OM) is established based on the cluster load curves. The objectives include the OPU control cost, the user’s electricity cost, and the consumption of distributed photovoltaic (PV). Our results of a case study show that the above method is effective and economical for improving interactive ability among users. Agents can coordinate their apanage power resources optimally. Experiments and examples verify the practicability and effectiveness of the improved algorithm proposed in this study.