1.Biodistribution of lipid nanoparticles with different surface charges and particle sizes in mice
Huanchun XING ; Shuai GUO ; Wenbing CAO ; Lin WANG ; Kui LU ; Yongan WAN ; Jun YANG
Chinese Journal of Pharmacology and Toxicology 2025;39(6):425-431
OBJECTIVE To investigate the biodistribution of lipid nanoparticles(LNPs)with different surface charges and different particle sizes in mice.METHODS LNPs were prepared using microfluidic technology by incorporating positively charged phospholipids,negatively charged phospholipids,ioniz-able phospholipids,and neutral phospholipids into the formulation to create LNPs with corresponding surface charges.The particle size of the LNPs was controlled by polyethylene glycol(PEG)modifica-tion and measured using dynamic light scattering(DLS)and transmission electron microscopy(TEM),while the surface charge was analyzed using a zeta potential analyzer.The LNPs were labeled with a fluorescent dye,and the mice were intravenously injected with 0.625 μmol·kg-1 of LNPs.At 1,4,12 and 24 h post-injection,the brain,heart,livers,spleen,lungs and kidneys were collected.The fluorescence distribution in different organs was detected using an in vivo imaging system to reflect the distribution of LNPs in various organs.RESULTS Particle size analysis showed that,except the ionizable lipid nanoparticles without PEG modification(LNP-MC3),which had a particle size>200 nm,the particle sizes of positively charged LNPs without PEG modification(LNP-Pos),PEG-modified positively charged LNPs(LNP-Pos-P),PEG-modified neutral LNPs(LNP-Neu-P),PEG-modified ionizable LNPs(LNP-MC3-P),and PEG-modified negatively charged LNPs(LNP-Neg-P)were all<200 nm.Zeta potential analysis revealed that the surface charges of the LNPs were the highest in LNP-Pos,followed by LNP-Pos-P,LNP-MC3-P,LNP-Neu-P,LNP-MC3 and LNP-Neg-P.In vivo imaging results indicated that LNP-Pos-P,LNP-Pos and LNP-MC3-P were primarily distributed in the livers,lungs and kidneys,respectively,while LNP-Neu-P and LNP-Neg-P in the livers,kidneys,and lungs,respectively.The distribution of LNP-MC3-P in the brain,heart,spleen and kidneys peaked at 12 h post-injection,but at 24 h in the livers.The distribution of LNP-Pos-P in the lungs peaked at 1 h post-injection.CONCLUSION LNPs are primarily distributed in the livers.Surface charges influence the second most highly-distributed organs.LNP-Pos-P and LNP-MC3-P are the second most highly-distributed in the lungs,and LNP-Neu-P and LNP-Neg-P in the kidneys.
2.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
3.Construction of sulfur mustard analogue-induced skin contamina-tion models in BALB/c mice and its decontamination
Shuai GUO ; Huanchun XING ; Wenbin CAO ; Lin WANG ; Aibing CHEN ; Yongan WANG ; Jun YANG
Chinese Journal of Pharmacology and Toxicology 2025;39(4):277-284
OBJECTIVE To establish skin contamination models with sulfur mustard analogue 1-chloro-2-ethylsulfanyl ethane(CEES),and evaluate the therapeutic efficacy of reactive skin decontamination lotion kit(RSDL).METHODS ①Kunming,BALB/c,BALB/c-nu,and C57BL/6N were contaminted with CEES 75 μL·kg-1 using exposed method and covered method for 10 min on the dorsal skin.Wound healing times and areas were assessed to determine the stock of mice and exposure method.② BALB/c mice were exposed to a gradient of CEES at the doses of 75,150,250,350 and 500 μL·kg-1(10 min)using the covered method.Wound healing times,areas and Kaplan-Meier survival curves were used to determine the optimal dose.③ BALB/c mice were exposed to CEES 150 μL·kg-1 for varying durations(5,10 and 20 min)using the covered method.Wound healing times,areas and Kaplan-Meier survival curves were analyzed to determine the optimal exposure time.④ BALB/c mice were divided into four groups:control(exposed with the covered method at 150 μL·kg-1,10 min),treatment(20 μL RSDL treatment after exposure,as the control group),5 min treatment(20 μL RSDL treatment after 5 min of exposure,followed by 5 min of coverage)and immediate-treatment(exposed with the exposed method at 150 μL·kg-1,immediately treated with 20 μL RSDL,followed by 10 min of coverage).The therapeutic efficacy was evaluated based on the wound area,subcutaneous microvesicle count,epidermal thick-ness,and inflammatory cytokine(IL-6 and TNF-α)expressions.RESULTS ① The covered method caused more severe and prolonged wounds than the exposed method.BALB/c mice exhibited a high sensitivity to CEES with delayed wound healing and were therefore selected as the model animal.② Survival rates in BALB/c mice dropped below 50%at doses of 250,350 and 500 μL·kg-1,whereas an 83.3%survival rate was observed at 150 μL·kg-1.③ The mice exposed to CEES(150 μL·kg-1,20 min)died within 3 days.The wound area was consistently smaller in the 5 min covered group than in the 10 min covered group.④CEES-induced skin injury led to epidermal nuclear pyknosis,follicular disrup-tion,inflammatory infiltration,and microvesicle formation in both treatment and poisoned control groups.As more immediate treatment,the wound area significantly decreased.While the IL-6 expres-sion showed no significant intergroup difference,the TNF-α expression was significantly higher in the treatment group.CONCLUSION A CEES-induced skin contamination model has been established in BALB/c mice using the covered method(150 μL·kg-1,10 min covered).However,RSDL should be ad-ministered in 10 min post-contamination.
4.Biodistribution of lipid nanoparticles with different surface charges and particle sizes in mice
Huanchun XING ; Shuai GUO ; Wenbing CAO ; Lin WANG ; Kui LU ; Yongan WAN ; Jun YANG
Chinese Journal of Pharmacology and Toxicology 2025;39(6):425-431
OBJECTIVE To investigate the biodistribution of lipid nanoparticles(LNPs)with different surface charges and different particle sizes in mice.METHODS LNPs were prepared using microfluidic technology by incorporating positively charged phospholipids,negatively charged phospholipids,ioniz-able phospholipids,and neutral phospholipids into the formulation to create LNPs with corresponding surface charges.The particle size of the LNPs was controlled by polyethylene glycol(PEG)modifica-tion and measured using dynamic light scattering(DLS)and transmission electron microscopy(TEM),while the surface charge was analyzed using a zeta potential analyzer.The LNPs were labeled with a fluorescent dye,and the mice were intravenously injected with 0.625 μmol·kg-1 of LNPs.At 1,4,12 and 24 h post-injection,the brain,heart,livers,spleen,lungs and kidneys were collected.The fluorescence distribution in different organs was detected using an in vivo imaging system to reflect the distribution of LNPs in various organs.RESULTS Particle size analysis showed that,except the ionizable lipid nanoparticles without PEG modification(LNP-MC3),which had a particle size>200 nm,the particle sizes of positively charged LNPs without PEG modification(LNP-Pos),PEG-modified positively charged LNPs(LNP-Pos-P),PEG-modified neutral LNPs(LNP-Neu-P),PEG-modified ionizable LNPs(LNP-MC3-P),and PEG-modified negatively charged LNPs(LNP-Neg-P)were all<200 nm.Zeta potential analysis revealed that the surface charges of the LNPs were the highest in LNP-Pos,followed by LNP-Pos-P,LNP-MC3-P,LNP-Neu-P,LNP-MC3 and LNP-Neg-P.In vivo imaging results indicated that LNP-Pos-P,LNP-Pos and LNP-MC3-P were primarily distributed in the livers,lungs and kidneys,respectively,while LNP-Neu-P and LNP-Neg-P in the livers,kidneys,and lungs,respectively.The distribution of LNP-MC3-P in the brain,heart,spleen and kidneys peaked at 12 h post-injection,but at 24 h in the livers.The distribution of LNP-Pos-P in the lungs peaked at 1 h post-injection.CONCLUSION LNPs are primarily distributed in the livers.Surface charges influence the second most highly-distributed organs.LNP-Pos-P and LNP-MC3-P are the second most highly-distributed in the lungs,and LNP-Neu-P and LNP-Neg-P in the kidneys.
5.Construction of sulfur mustard analogue-induced skin contamina-tion models in BALB/c mice and its decontamination
Shuai GUO ; Huanchun XING ; Wenbin CAO ; Lin WANG ; Aibing CHEN ; Yongan WANG ; Jun YANG
Chinese Journal of Pharmacology and Toxicology 2025;39(4):277-284
OBJECTIVE To establish skin contamination models with sulfur mustard analogue 1-chloro-2-ethylsulfanyl ethane(CEES),and evaluate the therapeutic efficacy of reactive skin decontamination lotion kit(RSDL).METHODS ①Kunming,BALB/c,BALB/c-nu,and C57BL/6N were contaminted with CEES 75 μL·kg-1 using exposed method and covered method for 10 min on the dorsal skin.Wound healing times and areas were assessed to determine the stock of mice and exposure method.② BALB/c mice were exposed to a gradient of CEES at the doses of 75,150,250,350 and 500 μL·kg-1(10 min)using the covered method.Wound healing times,areas and Kaplan-Meier survival curves were used to determine the optimal dose.③ BALB/c mice were exposed to CEES 150 μL·kg-1 for varying durations(5,10 and 20 min)using the covered method.Wound healing times,areas and Kaplan-Meier survival curves were analyzed to determine the optimal exposure time.④ BALB/c mice were divided into four groups:control(exposed with the covered method at 150 μL·kg-1,10 min),treatment(20 μL RSDL treatment after exposure,as the control group),5 min treatment(20 μL RSDL treatment after 5 min of exposure,followed by 5 min of coverage)and immediate-treatment(exposed with the exposed method at 150 μL·kg-1,immediately treated with 20 μL RSDL,followed by 10 min of coverage).The therapeutic efficacy was evaluated based on the wound area,subcutaneous microvesicle count,epidermal thick-ness,and inflammatory cytokine(IL-6 and TNF-α)expressions.RESULTS ① The covered method caused more severe and prolonged wounds than the exposed method.BALB/c mice exhibited a high sensitivity to CEES with delayed wound healing and were therefore selected as the model animal.② Survival rates in BALB/c mice dropped below 50%at doses of 250,350 and 500 μL·kg-1,whereas an 83.3%survival rate was observed at 150 μL·kg-1.③ The mice exposed to CEES(150 μL·kg-1,20 min)died within 3 days.The wound area was consistently smaller in the 5 min covered group than in the 10 min covered group.④CEES-induced skin injury led to epidermal nuclear pyknosis,follicular disrup-tion,inflammatory infiltration,and microvesicle formation in both treatment and poisoned control groups.As more immediate treatment,the wound area significantly decreased.While the IL-6 expres-sion showed no significant intergroup difference,the TNF-α expression was significantly higher in the treatment group.CONCLUSION A CEES-induced skin contamination model has been established in BALB/c mice using the covered method(150 μL·kg-1,10 min covered).However,RSDL should be ad-ministered in 10 min post-contamination.
6.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
7.Therapeutic effect of cardiac rehabilitation based on traditional exercise on heart failure:a Meta-a-nalysis
Jun-Ru XING ; Yan YANG ; Xin CHEN ; Jiang-Fen CAO ; Ru-Nan GUO
Chinese Journal of cardiovascular Rehabilitation Medicine 2024;33(1):6-10
Objective:To explore therapeutic effect of cardiac rehabilitation based on traditional exercise on heart failure(HF).Methods:We searched databases including CNKI,Wanfang,VIP,Pubmed and Cochrane library for literature about application of cardiac rehabilitation exercise based on traditional exercises in HF patients before Mar 2023.Literature were screened according to inclusion and exclusion criteria,while article quality assessment and da-ta extraction were performed,and RevMan 5.3 software was used to perform Meta analysis.Results:Meta analysis indicated that compared with control group,there were significant increase in LVEF[MD=4.51,95%CI(1.70,7.33),P=0.002]and 6 min walking distance[6MWD,MD=51.90,95%CI(39.24,64.57),P=0.001],and sig-nificant reductions in left ventricular end-systolic diameter[MD=-1.64,95%CI(-3.18,-0.11),P=0.040],left ventricular end-diastolic diameter[MD=-2.49,95%C1(-3.28,-1.69),P=0.001],score of Minnesota living with heart failure questionnaire[MD=-6.89,95%CI(-8.64,-5.33),P=0.001]and level of N-ter-minal pro-brain natriuretic peptide[MD=-151.46,95%CI(-208.21,-94.70),P=0.001]in observation group.Conclusion:Cardiac rehabilitation based on traditional exercise can significantly improve heart function,in-crease 6 min walking distance and improve quality of life in patients with heart failure.
8.Research on Diagnosis Model of Endometrial Lesions by Hysteroscopy Based on Deep Learning Algorithm Combined with Grad-CAM
Mingliang CAO ; Mi YIN ; Qingbin WANG ; Hanfeng ZHU ; Xing LI ; Jun ZHANG ; Lin MAO ; Xuefeng MU ; Min CAO ; Yutao MA ; Jian WANG ; Yan ZHANG
Journal of Practical Obstetrics and Gynecology 2024;40(5):409-413
Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23%)was higher than that of Res-Net18 model(84.23%);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00%,and the sensitivity of EfficientNet-B0 model(91.14%)was significantly better than that of ResNet18 model(77.22%).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95%of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.
9.Pathological Characteristics and Classification of Unstable Coronary Atheroscle-rotic Plaques
Yun-Hong XING ; Yang LI ; Wen-Zheng WANG ; Liang-Liang WANG ; Le-Le SUN ; Qiu-Xiang DU ; Jie CAO ; Guang-Long HE ; Jun-Hong SUN
Journal of Forensic Medicine 2024;40(1):59-63
Important forensic diagnostic indicators of sudden death in coronary atherosclerotic heart dis-ease,such as acute or chronic myocardial ischemic changes,sometimes make it difficult to locate the ischemic site due to the short death process,the lack of tissue reaction time.In some cases,the de-ceased died of sudden death on the first-episode,resulting in difficulty for medical examiners to make an accurate diagnosis.However,clinical studies on coronary instability plaque revealed the key role of coronary spasm and thrombosis caused by their lesions in sudden coronary death process.This paper mainly summarizes the pathological characteristics of unstable coronary plaque based on clinical medi-cal research,including plaque rupture,plaque erosion and calcified nodules,as well as the influencing factors leading to plaque instability,and briefly describes the research progress and technique of the atherosclerotic plaques,in order to improve the study on the mechanism of sudden coronary death and improve the accuracy of the forensic diagnosis of sudden coronary death by diagnosing different patho-logic states of coronary atherosclerotic plaques.
10.Research on Diagnosis Model of Endometrial Lesions by Hysteroscopy Based on Deep Learning Algorithm Combined with Grad-CAM
Mingliang CAO ; Mi YIN ; Qingbin WANG ; Hanfeng ZHU ; Xing LI ; Jun ZHANG ; Lin MAO ; Xuefeng MU ; Min CAO ; Yutao MA ; Jian WANG ; Yan ZHANG
Journal of Practical Obstetrics and Gynecology 2024;40(5):409-413
Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23%)was higher than that of Res-Net18 model(84.23%);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00%,and the sensitivity of EfficientNet-B0 model(91.14%)was significantly better than that of ResNet18 model(77.22%).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95%of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

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