1.Application of cold snare endoscopic mucosal resection in treating small colorectal polyps
Fei DING ; Hao GUO ; Chong-bin QI ; Shao-jun XU ; Feng LI ; Ping WU ; Qing DONG
Journal of Regional Anatomy and Operative Surgery 2025;34(4):333-337
Objective To investigate the application effect of cold snare endoscopic mucosal resection(CS-EMR)in the treatment of 6 to 9 mm colorectal small polyps.Methods A total of 82 patients with small colonic polyps in our hospital from March 2022 to August 2023 were collected and divided into the observation group(45 cases received CS-EMR)and the control group[37 cases received hot snare endoscopic mucosal resection(HS-EMR)]according to different surgical methods.The clinical efficacy,polyp resection status,complete polyp resection rate,perioperative indicators and occurrence of complications were compared between the two groups.Results Follow-up for 1 month after operation,the effective rate of treatment in the observation group was higher than that in the control group(P<0.05).There was no statistically significant difference in the polyp resection status or perioperative indicators between the two groups(P>0.05).There was no statistically significant difference in the complete polyp resection rates of patients with different pathological types or total complete resection rate between the two groups(P>0.05).The incidence of delayed bleeding and endoscopic hemostasis rate in the observation group were lower than those in the control group(P<0.05).Conclusion The complete resection rate of 6~9 mm colorectal polyps through CS-EMR was comparable to that of HS-EMR,and CS-EMR has a better efficacy and lower risk of perioperative bleeding,along with higher safety.
2.Effect of Wenyang Shengji Ointment (温阳生肌膏) on MGO Content and HIF-1a/VEGF Pathway in Wound Tissue of Diabetic Wound Model Rats with Yin Syndrome
Xinyu HUANG ; Li CHEN ; Yarong DING ; Jun WANG ; Shuihua FENG ; Zhongzhi ZHOU
Journal of Traditional Chinese Medicine 2025;66(4):382-389
ObjectiveTo investigate the possible mechanism of Wenyang Shengji Ointment (温阳生肌膏, WSO) in the treatment of diabetic wounds with yin syndrome. MethodsA total of 24 SD rats were randomly divided into a group (n=6) and modeling group (n=18). The modeling group rats were fed with high-fat diet for 14 days and then were injected intraperitoneally with streptozotocin to induce diabetic model. After steroid injection, full-thickness skin defects were created on the back of the rats to establish a diabetic wound with yin syndrome model. The normal group was fed with regular diet, and full-thickness skin defects were created surgically on the back of the rats. The 18 successfully modeled rats were further divided into three groups, the model group, the WSO group, and the Beifuxin (Recombinant Bovine Basic Fibroblast Growth Factor Gel, BX) group, 6 rats in each group. The WSO group was given the ointment to the wound, the Beifuxin group was givne BX gel, and the normal group and model group was disinfected and treated with saline. All groups had their dressings changed once daily for 14 days. Wound healing was recorded on days 0, 3, 7, and 14, and the wound healing rate was calculated on day 3, 7, and 14. On day 14 after treatment, HE staining was performed to observe the pathological morphology of the wound tissue. Western Blot was used to detect the relative protein levels of hypoxia-inducible factor 1 alpha (HIF-1α) and vascular endothelial growth factor (VEGF). Immunofluorescence was used to measure the fluorescence intensity of HIF-1α in the wound tissue, and ELISA was used to detect the methylglyoxal (MGO) content in the wound tissue. ResultsCompared with the normal group, the model group showed poor wound healing on day 3, 7, and 14, with a low wound healing rate (P<0.01). HE staining showed scab coverage on the wound, with inflammatory cell infiltration and disorganized collagen arrangement. The relative protein levels of VEGF were significantly reduced, while the relative protein levels of HIF-1α and the MGO content significantly increased (P<0.01), and the fluorescence intensity of HIF-1α was enhanced. Compared to the model group, the WSO group and Beifuxin group showed better wound healing on day 3, 7, and 14, with an increased wound healing rate (P<0.01). The wound tissue showed clear and complete epithelial structure, reduced inflammatory cells, mature granulation tissue, and organized collagen arrangement. MGO content was significantly reduced (P<0.01). The relative protein levels of HIF-1α and VEGF both significantly increased in the WSO group, while only VEGF increased in the Beifuxin group (P<0.05 or P<0.01). Compared with the Beifuxin group, the WSO group had a thicker epidermal layer, prominent collagen formation, significantly increased HIF-1α fluorescence expression, reduced MGO content in the wound tissue, and higher relative protein levels of HIF-1α (P<0.05). ConclusionWSO can reduce the accumulation of MGO in diabetic wound tissue with yin syndrome and activate the HIF-1α/VEGF pathway, which could be one of the mechanisms for promoting wound healing.
3.Unilateral biportal endoscopy-assisted decompression strategy for lateral lumbar spinal stenosis.
Xuyang XU ; Zhiqiang ZHANG ; Zijie WANG ; Liang ZHANG ; Jun CAI ; Xinmin FENG ; Yu DING ; Yi ZHANG
Chinese Journal of Reparative and Reconstructive Surgery 2025;39(5):612-619
OBJECTIVE:
To explore decompression strategies for lateral lumbar spinal stenosis under unilateral biportal endoscopy (UBE) assistance.
METHODS:
A clinical data of 86 patients with lateral lumbar stenosis treated with UBE-assisted intervertebral decompression between September 2022 and December 2023 was retrospectively analyzed. There were 42 males and 44 females with an average age of 63.6 years (range, 45-79 years). The disease duration ranged from 6 to 14 months (mean, 8.5 months). Surgical levels included L 2, 3 in 3 cases, L 3, 4 in 26 cases, L 4, 5 in 42 cases, and L 5, S 1 in 15 cases. According to Lee's grading system, there were 21 cases of grade 1, 37 cases of grade 2, and 28 cases of grade 3 for lumbar spinal stenosis. Based on the location of stenosis and clinical symptoms, the 33 cases underwent interlaminar approach, 7 cases underwent interlaminar approach with auxiliary third incision, 26 cases underwent contralateral inclinatory approach, and 20 cases underwent paraspinal approach; then, the corresponding decompression procedures were performed. Visual analogue scale (VAS) score was used to evaluate lower back/leg pain before operation and at 1 and 3 months after operation, while Oswestry disability index (ODI) was used to evaluate spinal function. At 3 months after operation, the effectiveness was evaluated using the modified MacNab evaluation criteria. The spinal stenosis and decompression were evaluated based on Lee's grading system using lumbar MRI before operation and at 3 months after operation.
RESULTS:
All procedures were successfully completed with mean operation time of 95.1 minutes (range, 57-166 minutes). Dural tears occurred in 2 cases treated with interlaminar approach with auxiliary third incision. All incisions healed by first intention. All patients were followed up 3-10 months (mean, 5.9 months). The clinical symptoms of the patients relieved to varying degrees. The VAS scores and ODI of lower back and leg pain at 1 and 3 months after operation significantly improved compared to preoperative levels ( P<0.05), and the indicators at 3 months significantly improved than that at 1 month ( P<0.05). According to the modified MacNab evaluation criteria, the effectiveness at 3 months after operation was rated as excellent in 52 cases, good in 21 cases, and poor in 13 cases, with an excellent and good rate of 84.9%. No lumbar instability was detected on flexion-extension X-ray films during follow-up. The Lee's grading of lateral lumbar stenosis at 2 days after operation showed significant improvement compared to preoperative grading ( P<0.05).
CONCLUSION
For lateral lumbar spinal stenosis, UBE-assisted decompression of the spinal canal requires the selection of interlaminar approach, interlaminar approach with auxiliary third incision, contralateral inclinatory approach, and paraspinal approach based on preoperative imaging findings and clinical symptoms to achieve better effectiveness.
Humans
;
Spinal Stenosis/diagnostic imaging*
;
Female
;
Male
;
Middle Aged
;
Decompression, Surgical/methods*
;
Aged
;
Lumbar Vertebrae/surgery*
;
Endoscopy/methods*
;
Retrospective Studies
;
Treatment Outcome
4.Application of cold snare endoscopic mucosal resection in treating small colorectal polyps
Fei DING ; Hao GUO ; Chong-bin QI ; Shao-jun XU ; Feng LI ; Ping WU ; Qing DONG
Journal of Regional Anatomy and Operative Surgery 2025;34(4):333-337
Objective To investigate the application effect of cold snare endoscopic mucosal resection(CS-EMR)in the treatment of 6 to 9 mm colorectal small polyps.Methods A total of 82 patients with small colonic polyps in our hospital from March 2022 to August 2023 were collected and divided into the observation group(45 cases received CS-EMR)and the control group[37 cases received hot snare endoscopic mucosal resection(HS-EMR)]according to different surgical methods.The clinical efficacy,polyp resection status,complete polyp resection rate,perioperative indicators and occurrence of complications were compared between the two groups.Results Follow-up for 1 month after operation,the effective rate of treatment in the observation group was higher than that in the control group(P<0.05).There was no statistically significant difference in the polyp resection status or perioperative indicators between the two groups(P>0.05).There was no statistically significant difference in the complete polyp resection rates of patients with different pathological types or total complete resection rate between the two groups(P>0.05).The incidence of delayed bleeding and endoscopic hemostasis rate in the observation group were lower than those in the control group(P<0.05).Conclusion The complete resection rate of 6~9 mm colorectal polyps through CS-EMR was comparable to that of HS-EMR,and CS-EMR has a better efficacy and lower risk of perioperative bleeding,along with higher safety.
5.Expert consensus on non-surgical treatment for acute lateral ankle sprain (version 2025)
Hui CHE ; Wenge DING ; Shiming FENG ; Xueping GU ; Qinwei GUO ; Jianchao GUI ; Yinghui HUA ; Yuefeng HAO ; Qinglin HAN ; Bo HU ; Xiaojun LIANG ; Guoping LI ; Yunxia LI ; Qi LI ; Yanlin LI ; Xin MA ; Jun MA ; Xudong MIAO ; Jianzhong QIN ; Xiaodong QIN ; Xu SUN ; Kefu SUN ; Weidong SONG ; Dai SHI ; Zhongmin SHI ; Youlun TAO ; Xu WANG ; Youhua WANG ; Liheng WANG ; Anli WANG ; Aiguo WANG ; Weidong WU ; Yajun XU ; Weidong XU ; Renjie XU ; Yongsheng XU ; Tengbo YU ; Lianqi YAN ; Xiaodong YUAN ; Yuan ZHU ; Mingzhu ZHANG ; Hongtao ZHANG ; Xintao ZHANG ; Xiaofei ZHENG
Chinese Journal of Trauma 2025;41(6):517-529
Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.
6.Untargeted Metabolomics of Plasma From Coronavirus Disease 2019 Patients One Year After Recovery.
Xu-Tong ZHANG ; Ye-Hong YANG ; Yue WU ; Rong HAN ; Qiao-Chu WANG ; Tao DING ; Jiang-Feng LIU ; Jun-Tao YANG
Acta Academiae Medicinae Sinicae 2025;47(4):519-526
Objective To investigate the recovery of plasma metabolism in asymptomatic and mild patients of coronavirus disease 2019(COVID-19)one year after recovery.Methods A total of 174 participants were recruited from the communities in Wuhan,including 80 healthy volunteers and the COVID-19 patients who had recovered for one year.According to the disease severity,the recovered COVID-19 patients were grouped as asymptomatic patients(n=80)and mild patients(n=14).The liquid chromatography mass spectrometry platform was employed to study the metabolomic characteristics of the plasma from all the participants.Results The plasma metabolites in asymptomatic patients and mild patients remained abnormal compared with those in healthy volunteers.Among the differential metabolites in asymptomatic patients and mild patients,some metabolites showed a downward trend only in mild patients,such as phosphatidylethanolamine[20∶3(5Z,8Z,11Z)/P-18∶0],sphingomyelin(d18∶1/24∶0),and cholesteryl(15∶0).The metabolic pathway involving the differential metabolites in mild patients was mainly glycerophospholipid metabolism.Conclusions Even one year after recovery,the mild COVID-19 patients still exhibit metabolic abnormalities.Hence,these patients may experience an extended period of time for recovery.
Humans
;
COVID-19/metabolism*
;
Metabolomics
;
SARS-CoV-2
;
Metabolome
;
Female
;
Male
;
Adult
;
Middle Aged
7.Micronucleus counts correlating with male infertility: a clinical analysis of chromosomal abnormalities and reproductive parameters.
Shun-Han ZHANG ; Ying-Jun XIE ; Wen-Jun QIU ; Qian-Ying PAN ; Li-Hao CHEN ; Jian-Feng WU ; Si-Qi HUANG ; Ding WANG ; Xiao-Fang SUN
Asian Journal of Andrology 2025;27(4):537-542
Investigating the correlation between micronucleus formation and male infertility has the potential to improve clinical diagnosis and deepen our understanding of pathological progression. Our study enrolled 2252 male patients whose semen was analyzed from March 2023 to July 2023. Their clinical data, including semen parameters and age, were also collected. Genetic analysis was used to determine whether the sex chromosome involved in male infertility was abnormal (including the increase, deletion, and translocation of the X and Y chromosomes), and subsequent semen analysis was conducted for clinical grouping purposes. The participants were categorized into five groups: normozoospermia, asthenozoospermia, oligozoospermia, oligoasthenozoospermia, and azoospermia. Patients were randomly selected for further study; 41 patients with normozoospermia were included in the control group and 117 patients with non-normozoospermia were included in the study group according to the proportions of all enrolled patients. Cytokinesis-block micronucleus (CBMN) screening was conducted through peripheral blood. Statistical analysis was used to determine the differences in micronuclei (MNi) among the groups and the relationships between MNi and clinical data. There was a significant increase in MNi in infertile men, including those with azoospermia, compared with normozoospermic patients, but there was no significant difference between the genetic and nongenetic groups in azoospermic men. The presence of MNi was associated with sperm concentration, progressive sperm motility, immotile spermatozoa, malformed spermatozoa, total sperm count, and total sperm motility. This study underscores the potential utility of MNi as a diagnostic tool and highlights the need for further research to elucidate the underlying mechanisms of male infertility.
Humans
;
Male
;
Infertility, Male/genetics*
;
Adult
;
Micronucleus Tests
;
Semen Analysis
;
Oligospermia/genetics*
;
Azoospermia/genetics*
;
Chromosome Aberrations
;
Sperm Count
;
Micronuclei, Chromosome-Defective
;
Middle Aged
8.Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability
Wanhong YIN ; Xiaoting WANG ; Ran ZHOU ; Dawei LIU ; Yan KANG ; Yaoqing TANG ; Xiaochun MA ; Jianguo LI ; Zhenjie HU ; Haitao ZHANG ; Wei HE ; Lixia LIU ; Wenjin CHEN ; Ran ZHU ; Jun WU ; Hongmin ZHANG ; Lina ZHANG ; Wenzhao CHAI ; Shihong ZHU ; Wangbin XU ; Rongqing SUN ; Xiangyou YU ; Tianjiao SONG ; Ying ZHU ; Hong REN ; Ai SHANMU ; Qing ZHANG ; Wei FANG ; Xiuling SHANG ; Liwen LYU ; Shuhan CAI ; Xin DING ; Heng ZHANG ; Guang FENG ; Lipeng ZHANG ; Bo HU ; Dong ZHANG ; Weidong WU ; Feng SHEN ; Xiaojun YANG ; Zhenguo ZENG ; Qibing HUANG ; Xueying ZENG ; Tongjuan ZOU ; Milin PENG ; Yulong YAO ; Mingming CHEN ; Hui LIAN ; Jingmei WANG ; Yong LI ; Feng QU ; Gang YE ; Rongli YANG ; Xiukai CHEN ; Suwei LI ; Juxiang WANG ; Yangong CHAO
Chinese Journal of Internal Medicine 2025;64(2):101-109
Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.
9.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.
10.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

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