How to choose appropriate medical matrix and correctly and flexibly master retrieval method are the key factors to get valuable information.The usual medical matrixes on internet are collected and analyzed.According to the requirement of the user,retrieval routes and techniques are introduced.Some advices are also given on the present situation of Chinese medical matrix.The purpose is to help medical personnel to select proper medical matrix for desired information.

The construction of standardized and specialized computer room is the base of hospital digitization and informatization.It should follow the national and specialized standards to assure a good condition for the data center,put together the knowledge of multi-disciplines and advanced technologies,and adopt reasonable design and rigid construction.This article discusses the construction of computer room in terms of the principles,elements and co-ordination

In the recent years,the earthquake occured frequently in the whole world which caused the increased incidence of crush syndrome (CS). The four limbs and torso will be bleeding and swelling when they are prounded and crushed from the heavy objects. The necrosis of muscular tissue causes massive production of toxin which leads to a series of symptoms including hypotension ,kidney dysfunction and so on. The serious acute kidney injury (AKI) will be vital. When CS-AKI ,the ascending velocity of urea nitrogen and K+ levels in the blood is quicker than those of general AKI;many kinds of immune cells are activated to engender a great deal of inflammatory mediators;the blood dynamics is often unstable. Therefore, it is advocated that the blood purification treatment should be carried early to eliminate excessive metabolic produces in vivo,to reduce the cardiovascular complication occurrence, and to avoid the irreversible change of the kidney function.

Objective:To explore the implicit bias of body image measurement in young and middle-aged people using implicit relational assessment procedure (IRAP) .Methods:ProQuest, Scopus, EBSCO, Cochrane Library, Web of Science, PubMed, China National Knowledge Infrastructure, WanFang data, and VIP databases were systematically searched to collect articles on the use of IRAP to measure implicit bias in body image in young and middle-aged populations. The retrieval period was from the establishment of the databases to December 15, 2023. Meta-analysis was conducted using Review Manager 5.4 software.Results:A total of 11 articles were included. The results of the Meta-analysis showed that the score of D general (reaction time index of pro-thinness and anti-fat) was 0.09 (95% CI: 0.07~0.11, P<0.01), indicating that compared with overweight/obesity, young and middle-aged people had a strong sense of identification with thinness and a stronger desire for thinness. The score of D thin (reaction time index of pro-thinness) was 0.26 (95% CI: 0.12~0.39, P<0.01), indicating that young and middle-aged people' reaction speed was faster when they agreed with thinness and participants had the desire to be thin. The score of D fat (reaction time index of anti-obesity) was -0.09 (95% CI: -0.21~0.03, P>0.05), indicating that young and middle-aged people had no bias against overweight/obesity. Conclusions:Young and middle-aged people generally have the performance of implicit thinness, with a strong desire for thinness and no implicit bias towards overweight.

Objective To investigate the value of abdominal aortic combined with routine one-stop triple rule-out computed tomography angiography(TRO-CTA)in the examination of patients with acute chest pain.Methods A total of 1 482 patients with nontraumatic chest pain were included in this retrospective study.Of them 414 patients underwent the conventional TRO-CTA scanning while 1 068 patients underwent TRO-CTA that included the abdominal aorta(TRO-CTAwAA)under the request of clinicians.All scanning parameters were the same,except the scanning range for the third phase in TRO-CTA:conventional TRO-CTA covered only the thoracic aorta,while TRO-CTAwAA extended to the entire aorta.Patient etiology was investigated and the detection rates of major vessel abnormalities(aortic dissection,aneurysm,penetrating ulcer,intramural hematoma,vascular occlusion,and thrombosis)between the two groups was compared using chi square tests.The radiation dose(CTDIvol and DLP)and scanning time between the two groups were compared using analysis of variance(ANOVA).Results The TRO-CTAwAA had significantly higher detection rate of major artery abnormalities than the TRO-CTA group(35.1％vs.4.8％,P＜0.001).In the TRO-CTAwAA group,26.5％of the vascular anomalies were detected in both the thoracic and abdominal aortas,and another 8.6％were seen only in the abdominal aorta.With regard to the radiation dose between the two groups,the total DLP was significantly higher in the TRO-CTAwAA group than in the conventional TRO-CTA group(P＜0.001).The two groups did not significantly differ in scanning time(P=0.410).Conclusion TRO-CTA with scan range including the abdominal aorta significantly improves the detection rate for major vessel abnormalities in patients with chest pain without increasing the examination process.

Objective:To investigate the practicality of TrueFidelity deep learning reconstruction algorithm in low-dose abdominal and pelvic CT angiography (CTA).Methods:The patients who required abdominal and pelvic CTA were prospectively included at the First Affiliated Hospital of Xi′an Jiaotong University from June 2020 to March 2021. All patients underwent low-dose CTA with a tube voltage of 80 kV and smart tube current modulation (100-720 mA). Images were reconstructed using the traditional FBP, adaptive statistical iterative reconstruction with a strength of 50% (ASIR-V 50%), TrueFidelity with medium (TF-M) and high (TF-H) strength. The CT value and standard deviation (SD value) of the abdominal aorta, psoas major muscle and subcutaneous fat in the same layer were measured, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated. We also introduced the measurement of skewness of CT value in psoas major muscle with uniform density. The above indexes of the four groups of reconstructed images were compared. A 5-point scoring method was used to evaluate the granularity, fuzziness and beam-hardening artifacts of all images. Objective measurement indicators, such as CT values, were tested by repeated measure ANOVA with the Bonferroni post hoc test.Results:There were forty-six patients in the study. The volume CT dose index of the scan was low at (1.09±0.31)mGy. There was no significant difference in CT values of vessels and muscles between the four groups ( P>0.05), but there was a significant difference in SD value( P<0.001). The SD value of the FBP group was the largest and that of the TF-H group was the smallest. The difference between SNR and CNR was statistically significant ( P<0.001), and the overall trend was opposite to that of the SD value. There was no significant difference in the skewness between the four groups. The granularity score of the FBP group was the largest, that of the TF-H group was the smallest, and there was a significant difference among the four groups. The score of fuzziness in the TF-H group was slightly higher than that in the other three groups, but there was no significant difference. The beam-hardening artifact score of FBP and ASIR-V 50% group was the worst, and the TF-H group was the best ( P<0.001). Conclusions:Compared with FBP and ASIR-V, TrueFidelity reconstruction algorithm provides better image quality (comprehensively considering image noise, fuzziness, uniformity, and hardening artifacts) in low-dose CT scanning of abdominal and pelvic vessels, and TF-H has the best image quality.

Depression is one of the common and serious complications after stroke. Post-stroke depression (PSD) is associated with poor outcomes and increased mortality. The American Heart Association/American Stroke Association guidelines for the early management of patients with acute ischemic stroke recommend that pharmacological therapy should be administered to patients with PSD. This article reviews the pharmacological therapy for PSD.

Objective To evaluate the factors affecting urinary stone detection rate using virtual unenhanced(VUE)images obtained from triphasic dual-energy CT urography(DECTU)based on Logistic regression analysis.Methods For this study,150 patients who had suspected urinary stone and underwent triphasic DECTU were included.The true unenhanced(TUE)images were reconstructed as 120 kVp-like images,and VUE images at the portal venous phase[VUE(VP)]and excretory phase[VUE(EP)]were obtained using iodine removal technique from portal venous and excretory phase DECTU images,respectively.Two readers independently evaluated the above three types of images,and recorded the number of urinary stones,their anatomical locations,and whether there was residual iodine on the VUE images.Stone size and CT number were recorded only on the TUE images.Stone size,CT number,anatomical location,and iodine contrast agent were included in univariate and multivariate Logistic regression analyses to evaluate the factors affecting urinary stone detection rate using VUE images.Thresholds for detecting urinary stones on VUE images were determined using receiver operating characteristics(ROC)analysis.Results We detected 304 stones on TUE images,while the detection rates were 92.4％and 71.4％when using VUE(VP)and VUE(EP)images,respectively.Stone size and CT number were important factors influencing urinary stone detection rate using VUE(VP)and VUE(EP)images(P＜0.01).The area under curve(AUC)of using stone size and CT number for detecting stones using the VUE(VP)images was up to 0.96,and as threshold values,stones with size larger than 3.52 mm and CT number greater than 469 HU were found to have high accuracy.However,the AUC decreased to 0.88 when we combined stone size,CT number and anatomical location using the VUE(EP)images.In addition,different contrast agents did not affect the detection rate of stones on the VUE(EP)images(P=0.57).The stone detection rate in the kidney was significantly lower than those on the VUE(EP)images(P＜0.001).Conclusion VUE(VP)images provide better stone detection.Stone size and CT number have significant impacts on the stone detection rate using VUE images.The lower stone detection rate in the kidney on the VUE(EP)images is related to the residual iodine.

Rabies is a zoonotic disease that poses a global public health threat.Rabies virus(RABV)is neurotropic and can cause severe neurological disorders and behavioral abnormalities in host,with a fatality rate nearly 100％.In order to identify the key genes for RABV affecting neuronal cell function,we established and analyzed the mRNA expression profile of Neuro-2a(N2a)cell in-fected with challenge virus standard(CVS)-11 by RNA sequencing(RNA-seq).Biological func-tions of differentially expressed genes(DEGs)were determined by GO and KEGG enrichment a-nalysis.The results showed that there were 415 differentially expressed genes in N2a infected with CVS-11 strain,of which 89 were up-regulated and 326 were down-regulated.These genes were re-lated to a variety of biological processes,such as axon guidance pathway,cholesterol metabolism pathway,nitrogen metabolism pathway,and glycosphingolipid biosynthesis pathway,many of them have been shown to be closely associated with RABV infection.A total of 12 DEGs related to axon conduction,antigen processing and presentation pathways were selected and detected by real-time PCR,and their expression trends were consistent with the RNA-seq results.The genomic tran-scriptomic data on N2a cell under RABV infection will provide new clues for probing the mecha-nisms of RABV infection and transmission in the nervous system in the future.

【Objective】 To investigate the value of deep learning image reconstruction (DLIR) in improving image quality and reducing beam-hardening artifacts of low-dose abdominal CT. 【Methods】 For this study we prospectively enrolled 26 patients (14 males and 12 females, mean age of 60.35±10.89 years old) who underwent CT urography between October 2019 and June 2020. All the patients underwent conventional-dose unenhanced CT and contrast-enhanced CT in the portal venous phase (noise index of 10; volume computed tomographic dose index: 9.61 mGy) and low-dose CT in the excretory phase(noise index of 23; volume computed tomographic dose index: 2.95 mGy). CT images in the excretory phase were reconstructed using four algorithms: ASiR-V 50%, DLIR-L, DLIR-M, and DLIR-H. Repeated measures ANOVA and Kruskal-Wallis H test were used to compare the quantitative (skewness, noise, SNR, CNR) and qualitative (image quality, noise, beam-hardening artifacts) values among the four image groups. Post hoc comparisons were performed using Bonferroni test. 【Results】 In either quantitative or qualitative evaluation, the SNR, CNR, overall image quality score, and noise of DLIR images were similar or better than ASiR-V 50%. In addition, the SNR, CNR, and overall image quality scores increased as the DLIR weight increased, while the noise decreased. There was no statistically significant difference in the distortion artifacts (P=0.776) and contrast-induced beam-hardening artifacts (P=0.881) scores among these groups. 【Conclusion】 Compared with the ASiR-V 50% algorithm, DLIR algorithm, especially DLIR-M and DLIR-H, can significantly improve the image quality of low-dose abdominal CT, but has limitations in reducing contrast-induced beam-hardening artifacts.