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.

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 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.

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 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.

【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.

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 assess the effect of reconstruction kernels and window settings on the detection and measurement of pulmonary solid nodules and their measurement variability and repeatability. 【Methods】 We retrospectively recruited 49 patients with pulmonary solid nodules who had undergone low-dose CT scanning. Images were reconstructed using five reconstruction kernels： lung， bone， chest， detail and standard kernels. Two radiologists independently assessed the detection rate， diameter and CT number measurement of nodules under the five kernels and two window settings （lung-window and mediastinal-window）. Bland-Altman plots and relative average deviation （RAD） were used to evaluate the repeatability and variability of nodule diameter and CT number measurement. 【Results】 Seventy-seven nodules were detected on lung-window regardless of reconstruction kernels， while the detection rates （75.3%-98.7%） were significantly different （P<0.001） on the mediastinal-window， with the lung kernel significantly improving the detection of nodules with the diameter below 6 mm. In both display windows， the diameter and CT number measurements among reconstruction kernels were similar except for the lung kernel. The lung-window had better variability in the diameter measurement while mediastinal-window was better in CT number measurement among various reconstruction kernels. Although the variability in the diameter of the nodule on the lung-window and mediastinal-window was similar， there was a significant difference in the variability in the diameter measurement among different reconstruction kernels on the mediastinal-window （P=0.004）. No significant difference in the variability in the CT number measurement was found among the different reconstruction kernels （lung-window P=0.163； mediastinal-window P=0.201）， and the variability in the CT number measurements on the mediastinal-window was smaller than that of the lung-window. Both window displays had acceptable repeatability in diameter and CT number measurement； however， the mediastinal-window was better in CT number measurement. 【Conclusion】 The lung kernel can improve the detection of pulmonary solid nodules below 6 mm， but is limited in the CT number measurement. The lung-window display provides better variability in measuring nodule diameter， while mediastinal-window display is better at measuring CT numbers.

OBJECTIVE：To investigate the clini cal features of thrombocytopenia induced by antidepressants ，and to provide reference for the rational use of clinical drugs. METHODS ：Retrieved from CNKI ，Wanfang database ，VIP，PubMed and Web of Science，during Jan. 1st in 1985 to Aug. 31st in 2020，case reports about antidepressants-induced thrombocytopenia was collected and analyzed descriptively in terms of demographic characteristics ，medication，clinical manifestations ，treatment and outcome. RESULTS：A total of 17 literatures were retrieved ，and 19 patients were included ，involving 10 male and 9 female，aged from 5 to 95 years old ，with an average of （48±24）years old. Nine kinds of drugs were involved ，including 4 cases of escitalopram ，3 cases of citalopram ，3 cases of fluoxetine ，3 cases of mirtazapine ，2 cases of amitriptyline ，1 case of sertraline ，1 case of paroxetine，1 case of mianserin and 1 case of imipramine. There were 9 cases of single drug and 10 cases of drug combination. All 19 patients suffered from thrombocytopenia at 3 d-10 years after medication ，14 of them had hemorrhage tendency. Main clinical manifestations included mucocutaneous hemorrhage ，gingival bleeding ，black stool ，hematochezia，vaginal bleeding ，ocular hemorrhage，alveolar hemorrhage. No bleeding was found in 5 cases. After drug withdrawal/changing drugs and other symptomatic treatment， platelet count of 19 patients recovered to normal ， and bleeding symptoms disappeared. CONCLUSIONS ： Thrombocytopenia caused by antidepressants has no obvious clinical features and is not easy to be found ，but it may lead to severe； bleeding symptoms if it is not found in time. The changes of platelet count should be closely monitored in clinical application of such drugs to ensure the safety of drug use.

Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.