Objective:To construct a remote screening network for breast cancer based on automated breast ultrasound (ABUS) and explore the value of ABUS with remote reading for breast cancer screening.Methods:We constructed a remote breast cancer screening network including one remote reading center and 48 image-acquisition centers. We recruited women to participate in breast cancer screening at one of these image-acquisition centers from January 2021 to January 2023. The technicians collected the whole breast images using the ABUS. The images were then sent to the reading center through the PVBUS System and interpreted independently by two radiologists using the Breast Imaging Reporting and Data System (BI-RADS). BI-RADS categories 1 and 2 indicate negative screening results, and women diagnosed with these categories were recommended for annual breast ultrasound screening. BI-RADS categories 3, 4, and 5 indicate positive results. Women with BI-RADS category 3 lesions were recommended for follow-up examinations every 6 months using ABUS or handheld ultrasound, while those with BI-RADS 4 and 5 lesions were suggested to undergo pathological examinations.Results:In our study, we enrolled 10 344 women who completed the ABUS screening and were followed up for more than 12 months. After remote reading, 6 164 women were diagnosed with BI-RADS category 1 and 2 626 woman were within BI-RADS category 2. In contrast, 1 404 women were within BI-RADS category 3, a total of 135 women were within BI-RADS category 4, and 15 women were within BI-RADS category 5. The positive screening rate of ABUS was 15.0% (1 554/10 344). The ABUS with remote reading had a detection rate of 3.7/1 000 (38/10 344) for breast cancer screening, with a sensitivity of 97.4% (38/39) and a specificity of 85.3% (8 789/10 305). Among the 38 breast cancer cases detected, 92.1% (35/38) were invasive carcinomas, and 63.2% (24/38) were stage 0 or Ⅰ breast cancers.Conclusions:Breast cancer screening based on ABUS with remote reading provided an efficient and feasible solution to the problem of unevenly distributed medical resources and medical staff levels in various regions of China, enabling the decentralization of high-quality medical resources and improving the accessibility of high-quality screening services. It has provided an alternative for breast cancer screening in China.

Salmonella is an important foodborne pathogen and one of the main causes of diarrhea. Every year, about 550 million people suffer from diarrhea due to Salmonella infection, of which about 230 000 die. It has become a major global public safety issue. The application fields of Salmonella detection involve food safety, water quality monitoring, animal husbandry, public health monitoring, and medical diagnosis. The detection requirements mainly come from three aspects: pathogen identification, serotype identification, drug resistance and virulence identification. In recent years, the detection technology for Salmonella has made rapid progress, especially the emergence and development of emerging molecular detection technologies, providing new perspectives for Salmonella detection in different scenarios. However, due to the diversity of Salmonella serotypes and the complexity of detection scenarios, existing detection technologies still have some pain points (such as long detection time, cumbersome operation steps, low scene adaptability, etc.). This article will elaborate on the application of several emerging molecular detection technologies with distinct characteristics, such as CRISPR Cas technology, digital PCR technology, sequencing technology, and microfluidic technology, in Salmonella detection. It aims to provide a reference for the development and improvement of Salmonella detection technology and the establishment of infection warning and control systems.

Salmonella is an important foodborne pathogen and one of the main causes of diarrhea. Every year, about 550 million people suffer from diarrhea due to Salmonella infection, of which about 230 000 die. It has become a major global public safety issue. The application fields of Salmonella detection involve food safety, water quality monitoring, animal husbandry, public health monitoring, and medical diagnosis. The detection requirements mainly come from three aspects: pathogen identification, serotype identification, drug resistance and virulence identification. In recent years, the detection technology for Salmonella has made rapid progress, especially the emergence and development of emerging molecular detection technologies, providing new perspectives for Salmonella detection in different scenarios. However, due to the diversity of Salmonella serotypes and the complexity of detection scenarios, existing detection technologies still have some pain points (such as long detection time, cumbersome operation steps, low scene adaptability, etc.). This article will elaborate on the application of several emerging molecular detection technologies with distinct characteristics, such as CRISPR Cas technology, digital PCR technology, sequencing technology, and microfluidic technology, in Salmonella detection. It aims to provide a reference for the development and improvement of Salmonella detection technology and the establishment of infection warning and control systems.

Objective:To construct a remote screening network for breast cancer based on automated breast ultrasound (ABUS) and explore the value of ABUS with remote reading for breast cancer screening.Methods:We constructed a remote breast cancer screening network including one remote reading center and 48 image-acquisition centers. We recruited women to participate in breast cancer screening at one of these image-acquisition centers from January 2021 to January 2023. The technicians collected the whole breast images using the ABUS. The images were then sent to the reading center through the PVBUS System and interpreted independently by two radiologists using the Breast Imaging Reporting and Data System (BI-RADS). BI-RADS categories 1 and 2 indicate negative screening results, and women diagnosed with these categories were recommended for annual breast ultrasound screening. BI-RADS categories 3, 4, and 5 indicate positive results. Women with BI-RADS category 3 lesions were recommended for follow-up examinations every 6 months using ABUS or handheld ultrasound, while those with BI-RADS 4 and 5 lesions were suggested to undergo pathological examinations.Results:In our study, we enrolled 10 344 women who completed the ABUS screening and were followed up for more than 12 months. After remote reading, 6 164 women were diagnosed with BI-RADS category 1 and 2 626 woman were within BI-RADS category 2. In contrast, 1 404 women were within BI-RADS category 3, a total of 135 women were within BI-RADS category 4, and 15 women were within BI-RADS category 5. The positive screening rate of ABUS was 15.0% (1 554/10 344). The ABUS with remote reading had a detection rate of 3.7/1 000 (38/10 344) for breast cancer screening, with a sensitivity of 97.4% (38/39) and a specificity of 85.3% (8 789/10 305). Among the 38 breast cancer cases detected, 92.1% (35/38) were invasive carcinomas, and 63.2% (24/38) were stage 0 or Ⅰ breast cancers.Conclusions:Breast cancer screening based on ABUS with remote reading provided an efficient and feasible solution to the problem of unevenly distributed medical resources and medical staff levels in various regions of China, enabling the decentralization of high-quality medical resources and improving the accessibility of high-quality screening services. It has provided an alternative for breast cancer screening in China.

Objective:To analyze the expression levels and clinical significance of interferon (IFN)-α/β in the renal cortex and serum of children with lupus nephritis (LN).Methods:A total of 32 children with LN diagnosed in the pediatric nephrology department of the Second Xiangya Hospital of Central South University from December 2017 to September 2020 were selected as the study subjects (LN group). The normal kidney control group consisted of 3 normal kidney transplant volunteers who underwent biopsy of kidney tissue (normal kidney control group), while 14 healthy children who underwent physical examination were collected as the normal control group. According to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), LN patients were divided into mild activity group ( n=8), moderate activity group ( n=9), and severe activity group ( n=15). According to the International Society of Nephrology/Society of Nephrology (ISN/RPS) 2003 LN classification criteria, pathological classification was performed (3 cases in the mild pathological damage group, 8 cases in the moderate pathological damage group, and 11 cases in the severe pathological damage group); Immunohistochemistry was used to detect the expression and distribution of IFN-α/β in glomeruli and renal interstitium; Enzyme linked immunosorbent assay (ELISA) was used to detect the concentration of IFN-α/β in serum samples and analyze its correlation with the pathological classification and disease activity of LN patients. Results:The serum and renal cortex IFN-α/β levels in the LN group were higher than those in the normal control group and normal kidney control group, respectively (all P<0.05). The average level of serum IFN-α/β in the heavy activity group was higher than that in the light and moderate activity groups (all P<0.05). The serum and renal cortex IFN-α/β levels in the severe pathological damage group were significantly higher than those in the mild and moderate pathological damage groups (all P<0.05). Conclusions:IFN-α/β in the renal cortex is closely related to renal injury in LN; Serum IFN-α/β can assist in evaluating the disease activity level of LN to a certain extent.

ObjectiveThe contamination of foodborne pathogens in ready-to-eat fruits and vegetables in Shanghai was analyzed to provide a scientific basis for food safety， risk assessment and related supervision. MethodsFrom June to September 2021， a total of 143 batches of12 kinds of ready-to-eat fruits and vegetables such as lettuce， chicory， and cherry tomatoes were collected from farmers’ markets， supermarkets， and e-commerce platforms. The total number of bacterial colonies， Salmonella， Listeria monocytogenes， Staphylococcus aureus， Cronobacter spp. and Shiga toxin-producing Escherichia coli in the samples were tested according to National Food Contamination and Harmfulness Risk Monitoring Manual. ResultsAmong the 143 batches， foodborne pathogens were detected in 68 batches， with a total detection rate of 47.55% （68/143）. A total of 79 strains of foodborne pathogens were detected. The detection rate of Staphylococcus aureus was the highest （32.87%， 47/143）， followed by Cronobacter spp. （20.98%， 30/143）， Salmonella （0.70%， 1/143）， Listeria monocytogenes （0.70%， 1/143）， Shiga toxin-producing Escherichia coli （0.00%）. Furthermore， the detection rate was higher in different ready-to-eat fruits and vegetables： chicory （17.33%）， cucumber （17.14%）， cherry tomatoes （16.00%）， and honeydew melon （15.38%）， respectively. Meanwhile， the contamination rate of pathogens in ready-to-eat fruits and vegetables from farmers’ markets， supermarkets， and e-commerce platforms was relatively high. ConclusionReady-to-eat fruits and vegetables in Shanghai are contaminated by foodborne pathogens. The prevention and control of the contamination of post-harvest fruits and vegetables should be strengthened to reduce the risk of foodborne disease outbreaks.

Objective:To compare the effect of uPWS R15 software based on deep learning with MIM-Maestro 6.9 software based on atlas library to automatically delineate the organs at risk of prostate cancer in order to provide a reference for clinical application.Methods:The CT data of 90 prostate cancer patients admitted to the Department of Oncology Radiotherapy of the Affiliated Hospital of North Sichuan Medical College from 2018 to 2022 were retrospectively selected. Based on the uPWS R15 software developed by Shanghai United Imaging Medical Technology Company and the MIM-Maestro 6.9 software developed by Beijing Mingwei Vision Medical Software Company, the effects of uPWS and MIM software on automatic delineation of organs at risk were evaluated according to five parameters, including delineation time (T), Dice similarity coefficient (DSC), Jaccard similarity coefficient (JSC), Hausdorff distance (HD) and the mean distance to agreement (MDA).Results:The sketching time of uPWS software was less than that of MIM software. There were no significant differences in the sketching effect of femoral head and skin between the two software (all P>0.05). The delineation of right kidney ( tMDA=-3.43, zDSC=-4.03, zJSC=-4.16, P<0.05), left kidney ( tMDA=-3.87, zDSC=-4.18, zJSC=-4.41, P<0.05), small intestine ( tMDA=-8.57, zDSC=-9.99, tJSC=14.21, P<0.05) and rectum ( zMDA=-4.00, tDSC=-9.98, tJSC= 9.72, P< 0.05) except HD, was statistically different. The bladder ( z=-7.88, -9.00, -8.17, -8.74, P<0.05) and spinalcord ( z=-3.87, -4.43, 4.03, 3.05, P<0.05) were also delineated with significant differences. The DSC automatically delineated by uPWS software was >0.7, while the DSC automatically delineated by MIM software was >0.7 for all other organs at risk except small intestine and rectum. In addition, the HD, MDA and JSC values of the organs at risk (bilateral femoral head, bilateral kidneys, spinal cord, bladder, skin, rectum and small intestine) automatically delineated by uPWS software were generally better than those with MIM software. Conclusions:The uPWS software outlines better than the MIM software, but the MIM software can also be used clinically with modifications to the small bowel and rectum, saving a great deal of time in preparation for radiation therapy.

Objective To examine the effect of adolescent intermittent ethanol exposure (AIE) on ethanol-induced conditioned place preference (CPP) and anxiety-like behavior in adolescent mice. Methods In experiment 1, adolescent male C57BL/6 mice at 4 weeks of age were randomly divided into AIE group and NS group (n=10 for each group). The binge drinking model was established by AIE (3 g/kg, 25%). The alcohol reward was evaluated using the ethanol-induced CPP paradigm (2 g/kg, 20%). In experiment 2, the anxiety-like behavior of adolescent male C57BL/6 mice were assessed using the elevated plus maze (EPM) test, and the animals were then allocated into high-anxiety mouse (HAM) and low-anxiety mouse (LAM) groups based on the percentage of open arm time (OT%). HAM and LAM were randomly divided into AIE group and NS group (n=8～10 for each group) with random number method, respectively. Then, anxiety-like behavior in four groups was measured again using the EPM test. Results In experiment 1. Ethanol preference (116.1± 12.9)s vs. (70.8±14.8)s, P=0.035) was significantly higher in AIE group relative to NS group. However, In experiment 2. The alteration in anxiety-like behaviors was not significant in either HAM-AIE or LAM-AIE groups (all P＞0.05). Conclusions AIE reinforces ethanol-induced CPP but does not affect the anxiety-like behavior in adolescent mice, suggesting that AIE may not play a role in anxiety-like behavior.

Objective To examine the effect of NK1 receptor ( NK1R) antagonist L-703,606 on ethanol-induced conditioned place preference (CPP) and levels of NK1R protein in different brain regions in juvenile mice. Methods Four-week-old male C57BL/6 mice were divided into high anxiety group and low anxiety group according to the percentage of time spent in open arms of elevated plus maze(EPM). Then the mice in the two groups were divided into control group and experimental group according to random number table,which were high anxiety control group,high anxiety experimental group,low anxiety control group and low anxiety experimental group,with 11 in each group. L-703,606 was injected intraperitoneally 40 minutes before CPP training in the high and low anxiety experimental group,while the control group received solvent treatment. After CPP test,the anxiety level of four groups of mice was detected by EPM again. The expres-sion of NK1R protein in hippocampus,prefrontal lobe and amygdala of mice was detected by Western blot. Results Compared with the high anxiety control group, the CPP value of the high anxiety experimental group was lower,and the difference was statistically significant ((77. 7 ± 9. 3) s vs (13. 6 ± 13. 0) s,P=0. 002). Compared with the low anxiety control group,the CPP value of the low anxiety experimental group was lower,and the difference was statistically significant ((113. 2±10. 3)s vs (28. 0±9. 6)s,P<0. 01). Af-ter L-703,606 treatment,there was no significant difference in the percentage of open arm time between the control group and experimental group either in high anxiety group or in low anxiety group (both P>0. 05) . Compared with the high anxiety control group,the expression of NK1R increased in hippocampus,prefrontal lobe and amygdala of mice in high anxiety experimental group (all P<0. 05). And the expression of NK1R in the above three brain regions had the same result between the low anxiety control group and the low anxiety experimental group (all P<0. 05). Conclusions L-703,606 can attenuate ethanol-induced CPP but has no effect on anxiety-like behaviors,suggesting the direct effect of NK1R in alcohol reward in juvenile mice.

Objective To predict the 5-year survival of patients with non-small cell lung cancer (NSCLC) by machine learning, and to improve the prediction efficiency and prediction accuracy. Methods The experiments were performed using NSCLC data from the SEER database. According to the imbalance of patient data, the Borderline-SMOTE method was used for data sampling. The perturbation-based feature selection (PFS) method and decision tree ( DT ) algorithm were used to screen the features and construct the postoperative survival prediction model . Results The patient data was balanced, and seven prognostic variables were screened, including primary site, stage group, surgical primary site, international classification of diseases, race and grade. Compared with LASSO, Tree-based, PFS-SVM and PFS-kNN models, the model constructed using PFS-DT has the best predictive effect. Conclusions The patient survival prediction model based on PFS-DT can effectively improve the accuracy of postoperative survival prediction in patients with NSCLC, and can provide a reference for doctors to provide treatment and improve prognosis.