1.Research progresses in imaging evaluation on changes of body composition in prostate cancer patients after androgen deprivation treatment
Na JIANG ; Junrong YAN ; Tao LIU ; Lixia QIAN
Chinese Journal of Interventional Imaging and Therapy 2025;22(5):355-359
Prostate cancer is a common malignant tumor in males.Androgen deprivation treatment(ADT)is the main therapeutic method for prostate cancer,which often leads to changes of body composition(BC)characterized by sarcopenia,centripetal fat redistribution and osteoporosis.Imaging techniques can accurately and conveniently assess changes of BC.The research progresses of imaging evaluation on BC changes in prostate cancer patients after ADT were reviewed in this article.
2.Research progresses in imaging evaluation on changes of body composition in prostate cancer patients after androgen deprivation treatment
Na JIANG ; Junrong YAN ; Tao LIU ; Lixia QIAN
Chinese Journal of Interventional Imaging and Therapy 2025;22(5):355-359
Prostate cancer is a common malignant tumor in males.Androgen deprivation treatment(ADT)is the main therapeutic method for prostate cancer,which often leads to changes of body composition(BC)characterized by sarcopenia,centripetal fat redistribution and osteoporosis.Imaging techniques can accurately and conveniently assess changes of BC.The research progresses of imaging evaluation on BC changes in prostate cancer patients after ADT were reviewed in this article.
3.Advances in Multiparametric MRI Diagnosis of HER-2 Positive Breast Cancer
Xiaofang WANG ; Lixia QIAN ; Jun XING
Chinese Journal of Medical Imaging 2025;33(7):791-795
Human epidermal growth factor receptor 2(HER-2)positive breast cancer is a special subtype of breast cancer,which grows faster and is characterized by higher invasiveness and recurrence rate.MRI is a key method for diagnosing and evaluating this type of breast cancer.Conventional MRI examination can observe the morphologic features of the tumor and its relationship with the surrounding tissues.DCE-MRI can reflect the kinetic features,vascular supply and permeability of the breast lesion.In recent years,the wide application of artificial intelligence technologies such as imaging histology and deep learning in the field of medical imaging has made a significant contribution to the accurate and efficient imaging assessment of HER-2 positive breast cancer.This article reviews the progress of multimodal multiparametric MRI in HER-2 positive breast cancer.
4.Characteristics of peripheral blood leukocyte morphology and scatterplot in severe fever with thrombocytopenia syndrome
Chen CHENG ; Wenwen SHANG ; Xiang QIAN ; Jiexin ZHANG ; Lixia ZHANG
Chinese Journal of Nosocomiology 2025;35(12):1793-1797
OBJECTIVE To analyze the characteristics of peripheral blood leukocyte morphology,scatterplot and leukocyte cell population data(CPD)in patients with severe fever and thrombocytopenia syndrome(SFTS),infec-tious mononucleosis(IM)and hemorrhagic fever with renal syndrome(HFRS),and to explore their differences.METHODS Blood routine examination data were collected,including microscopic cell images,scatter-plots and leukocyte CPD study parameters from 44 patients diagnosed with SFTS,17 with IM and 11 with HFRS at the First Affiliated Hospital with Nanjing Medical University from Mar.2023 to May 2024.These data were compared with those of healthy controls to explore specific differences in the characteristics of peripheral blood leu-kocyte.RESULTS All 3 viral infections exhibited a left shift in the nucleus under the microscope,yet the blood routine scatterplot and microscopic leukocyte characteristics differed.SFTS commonly presented with a plasmacy-toid reactive lymphocyte with scattered points appearing in the upper reactive lymphocyte area of the scatterplot.IM showed a predominant irregular fried-egg-like reactive lymphocyte under the microscope,with the scatterplot typically presenting a rocket-like shape,in patients with HFRS,there was a significant increase in im-mature granulocytes in peripheral blood and plasmacytoid reactive lymphocyte scatter points with blue immature granulocyte scatter points visible.The fluorescence distribution width(MO-WY)of monocytes in the SFTS group was lower than those in the IM,HFRS and healthy control groups(P<0.05).Compared to SFTS,IM and healthy control groups,the lateral scattered light distribution width(NE-WX)and fluorescence distribution width(NE-WY)of neutrophils in the HFRS group were both increased(P<0.05).CONCLUSIONS There are signifi-cant differences in the characteristics of peripheral blood leukocyte morphology,scatterplot and CPD study param-eters among three viral infection diseases SFTS,IM and HFRS.These differences can provide early clinical advice and assist in clinical differentiation.
5.Advances in Multiparametric MRI Diagnosis of HER-2 Positive Breast Cancer
Xiaofang WANG ; Lixia QIAN ; Jun XING
Chinese Journal of Medical Imaging 2025;33(7):791-795
Human epidermal growth factor receptor 2(HER-2)positive breast cancer is a special subtype of breast cancer,which grows faster and is characterized by higher invasiveness and recurrence rate.MRI is a key method for diagnosing and evaluating this type of breast cancer.Conventional MRI examination can observe the morphologic features of the tumor and its relationship with the surrounding tissues.DCE-MRI can reflect the kinetic features,vascular supply and permeability of the breast lesion.In recent years,the wide application of artificial intelligence technologies such as imaging histology and deep learning in the field of medical imaging has made a significant contribution to the accurate and efficient imaging assessment of HER-2 positive breast cancer.This article reviews the progress of multimodal multiparametric MRI in HER-2 positive breast cancer.
6.Characteristics of peripheral blood leukocyte morphology and scatterplot in severe fever with thrombocytopenia syndrome
Chen CHENG ; Wenwen SHANG ; Xiang QIAN ; Jiexin ZHANG ; Lixia ZHANG
Chinese Journal of Nosocomiology 2025;35(12):1793-1797
OBJECTIVE To analyze the characteristics of peripheral blood leukocyte morphology,scatterplot and leukocyte cell population data(CPD)in patients with severe fever and thrombocytopenia syndrome(SFTS),infec-tious mononucleosis(IM)and hemorrhagic fever with renal syndrome(HFRS),and to explore their differences.METHODS Blood routine examination data were collected,including microscopic cell images,scatter-plots and leukocyte CPD study parameters from 44 patients diagnosed with SFTS,17 with IM and 11 with HFRS at the First Affiliated Hospital with Nanjing Medical University from Mar.2023 to May 2024.These data were compared with those of healthy controls to explore specific differences in the characteristics of peripheral blood leu-kocyte.RESULTS All 3 viral infections exhibited a left shift in the nucleus under the microscope,yet the blood routine scatterplot and microscopic leukocyte characteristics differed.SFTS commonly presented with a plasmacy-toid reactive lymphocyte with scattered points appearing in the upper reactive lymphocyte area of the scatterplot.IM showed a predominant irregular fried-egg-like reactive lymphocyte under the microscope,with the scatterplot typically presenting a rocket-like shape,in patients with HFRS,there was a significant increase in im-mature granulocytes in peripheral blood and plasmacytoid reactive lymphocyte scatter points with blue immature granulocyte scatter points visible.The fluorescence distribution width(MO-WY)of monocytes in the SFTS group was lower than those in the IM,HFRS and healthy control groups(P<0.05).Compared to SFTS,IM and healthy control groups,the lateral scattered light distribution width(NE-WX)and fluorescence distribution width(NE-WY)of neutrophils in the HFRS group were both increased(P<0.05).CONCLUSIONS There are signifi-cant differences in the characteristics of peripheral blood leukocyte morphology,scatterplot and CPD study param-eters among three viral infection diseases SFTS,IM and HFRS.These differences can provide early clinical advice and assist in clinical differentiation.
7.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.Genetic analysis of transcription factors in dopaminergic neuronal development in Parkinson’s disease
Yuwen ZHAO ; Lixia QIN ; Hongxu PAN ; Tingwei SONG ; Yige WANG ; Xiaoxia ZHOU ; Yaqin XIANG ; Jinchen LI ; Zhenhua LIU ; Qiying SUN ; Jifeng GUO ; Xinxiang YAN ; Beisha TANG ; Qian XU
Chinese Medical Journal 2024;137(4):450-456
Background::Genetic variants of dopaminergic transcription factor-encoding genes are suggested to be Parkinson’s disease (PD) risk factors; however, no comprehensive analyses of these genes in patients with PD have been undertaken. Therefore, we aimed to genetically analyze 16 dopaminergic transcription factor genes in Chinese patients with PD.Methods::Whole-exome sequencing (WES) was performed using a Chinese cohort comprising 1917 unrelated patients with familial or sporadic early-onset PD and 1652 controls. Additionally, whole-genome sequencing (WGS) was performed using another Chinese cohort comprising 1962 unrelated patients with sporadic late-onset PD and 1279 controls.Results::We detected 308 rare and 208 rare protein-altering variants in the WES and WGS cohorts, respectively. Gene-based association analyses of rare variants suggested that MSX1 is enriched in sporadic late-onset PD. However, the significance did not pass the Bonferroni correction. Meanwhile, 72 and 1730 common variants were found in the WES and WGS cohorts, respectively. Unfortunately, single-variant logistic association analyses did not identify significant associations between common variants and PD. Conclusions::Variants of 16 typical dopaminergic transcription factors might not be major genetic risk factors for PD in Chinese patients. However, we highlight the complexity of PD and the need for extensive research elucidating its etiology.
10.The experience on the construction of the cluster prevention and control system for COVID-19 infection in designated hospitals during the period of "Category B infectious disease treated as Category A"
Wanjie YANG ; Xianduo LIU ; Ximo WANG ; Weiguo XU ; Lei ZHANG ; Qiang FU ; Jiming YANG ; Jing QIAN ; Fuyu ZHANG ; Li TIAN ; Wenlong ZHANG ; Yu ZHANG ; Zheng CHEN ; Shifeng SHAO ; Xiang WANG ; Li GENG ; Yi REN ; Ying WANG ; Lixia SHI ; Zhen WAN ; Yi XIE ; Yuanyuan LIU ; Weili YU ; Jing HAN ; Li LIU ; Huan ZHU ; Zijiang YU ; Hongyang LIU ; Shimei WANG
Chinese Critical Care Medicine 2024;36(2):195-201
The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

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