Objective To develop an innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis,and conduct clinical validation.Methods The design concept,technical principles and system composition of the innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis were introduced.A total of 73 patients(146 axillae)with axillary osmidrosis were enrolled as subjects,and underwent surgery using the newly developed surgical system.Clinical validation of the system was performed by evaluating postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Results The study demonstrated favorable clinical outcomes in the following aspects:postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Conclusion The minimally invasive rotary-cutting surgical system for axillary osmidrosis is rationally designed.The rotary-cutting puncture device is safe,effective,minimally invasive,and convenient for axillary osmidrosis surgery,warranting further clinical validation and widespread application.

As people’s attention to health continues to increase, the market demand for traditional Chinese medicine (TCM) is growing steadily. The quality and safety of Chinese medicinal materials have attracted unprecedented social attention. In particular, the issue of exogenous harmful residue pollution in TCM has become a hot topic of concern for both regulatory authorities and society. The Chinese Pharmacopoeia 2025 Edition further refines the detection methods and limit standards for exogenous harmful residues in TCM. This not only reflects China’s high-level emphasis on the quality and safety of TCM but also demonstrates the continuous progress made by China in the field of TCM safety supervision. Basis on this study, by systematically reviewing the development history of the detection standards for exogenous harmful residues in TCM and analyzing the revisions and updates of these detection standards in the Chinese Pharmacopoeia 2025 Edition, deeply explores the key points of the changes in the monitoring standards for exogenous harmful residues in TCM in the Chinese Pharmacopoeia 2025 Edition. Moreover, it interprets the future development directions of the detection of exogenous residues in TCM, aiming to provide a reference for the formulation of TCM safety supervision policies.

As people's attention to health continues to increase,the market demand for traditional Chinese medi-cine(TCM)is growing steadily.The quality and safety of Chinese medicinal materials have attracted unprecedent-ed social attention.In particular,the issue of exogenous harmful residue pollution in TCM has become a hot topic of concern for both regulatory authorities and society.The Chinese Pharmacopoeia 2025 Edition further refines the detection methods and limit standards for exogenous harmful residues in TCM .This not only reflects China's high-level emphasis on the quality and safety of TCM but also demonstrates the continuous progress made by China in the field of TCM safety supervision.Basis on this study,by systematically reviewing the development history of the detection standards for exogenous harmful residues in TCM and analyzing the revisions and updates of these detec-tion standards in the Chinese Pharmacopoeia 2025 Edition,deeply explores the key points of the changes in the monitoring standards for exogenous harmful residues in TCM in the Chinese Pharmacopoeia 2025 Edition.Moreo-ver,it interprets the future development directions of the detection of exogenous residues in TCM ,aiming to provide a reference for the formulation of TCM safety supervision policies.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Objective:To investigate the role of reactive astrocytes expressing aromatase(ARO)in the penumbra during ischemic stroke.Methods:A mouse model of middle cerebral artery occlusion(MCAO/R)was prepared using the suture method.Western blot and immunofluorescence staining were used to observe the expression of ARO in the penumbra after ischemia reperfusion.We generated a glial fibrillary acidic protein promoter-driven aromatase knock-out(GFAP-ARO-KO)mouse model in vivo.Neurologic impairment scores,rotarod test,grip strength test and adhesive removal test on the plantar surface of the paw were performed after MCAO/R modeling.Results:In wild type mice,the expression of ARO was significantly increased in astrocytes in the penumbra after MCAO/R(P<0.01).Compared to the control group,the expression of ARO in the GFAP-ARO-KO group was significantly reduced in astrocytes in the penumbra after MCAO/R.And loss of ARO increased cerebral infarction volume and aggravated sensorimotor impair-ment.Conclusion:After ischemic stroke,reactive astrocytes in the penumbra highly express ARO and play a protective role in post-ischemia reperfusion injury.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Objective To develop an innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis,and conduct clinical validation.Methods The design concept,technical principles and system composition of the innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis were introduced.A total of 73 patients(146 axillae)with axillary osmidrosis were enrolled as subjects,and underwent surgery using the newly developed surgical system.Clinical validation of the system was performed by evaluating postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Results The study demonstrated favorable clinical outcomes in the following aspects:postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Conclusion The minimally invasive rotary-cutting surgical system for axillary osmidrosis is rationally designed.The rotary-cutting puncture device is safe,effective,minimally invasive,and convenient for axillary osmidrosis surgery,warranting further clinical validation and widespread application.

Objective:To investigate the role of reactive astrocytes expressing aromatase(ARO)in the penumbra during ischemic stroke.Methods:A mouse model of middle cerebral artery occlusion(MCAO/R)was prepared using the suture method.Western blot and immunofluorescence staining were used to observe the expression of ARO in the penumbra after ischemia reperfusion.We generated a glial fibrillary acidic protein promoter-driven aromatase knock-out(GFAP-ARO-KO)mouse model in vivo.Neurologic impairment scores,rotarod test,grip strength test and adhesive removal test on the plantar surface of the paw were performed after MCAO/R modeling.Results:In wild type mice,the expression of ARO was significantly increased in astrocytes in the penumbra after MCAO/R(P<0.01).Compared to the control group,the expression of ARO in the GFAP-ARO-KO group was significantly reduced in astrocytes in the penumbra after MCAO/R.And loss of ARO increased cerebral infarction volume and aggravated sensorimotor impair-ment.Conclusion:After ischemic stroke,reactive astrocytes in the penumbra highly express ARO and play a protective role in post-ischemia reperfusion injury.

Coronary CT angiography(CCTA)has emerged as the preferred imaging method for assessing effectiveness after stent implantation,which could effectively reduce unnecessary invasive examinations.However,the diagnostic accuracy of CCTA is highly dependent on image quality.The research progresses of affecting factors on image quality of CCTA after coronary stent implantation were reviewed in this article.

Objective To compare and analyze clinical effects of three correction methods in type Ⅲnipple retraction.Methods A total of 93 patients with type Ⅲ nipple retraction were retrospectively enrolled at Clifford Hospital between May 2018 and December 2023.Based on the different surgical methods employed,they were categorized into three groups:group A(silk traction method,n=30),group B(areola double-flap method,n=31),and group C(areola single-flap method,n=32).The study compared the operation time,therapeutic efficacy,hemodynamic disorders,improvement in nipple appearance and function,complications,patient satisfac-tion,and recurrence rates among these three groups.Results The operation duration was significantly longer in group B compared to groups A and C(P<0.05).Group C exhibited a significantly higher total response rate than groups A and B(P<0.05),while no significant difference was observed between groups A and B(P>0.05).There were no significant differences in the incidence of hemodynamic disorders among the three groups(P>0.05).The improvement scores for nipple appearance and function were significantly higher in group C compared to groups A and B(P<0.05),with no significant difference between groups A and B(P>0.05).The incidence of complications was lower,satisfaction was higher,both being statistically significant,in group C compared to groups A and B(P<0.05),but there were no significant differences in the incidence of complications or satisfaction between groups A and B(P>0.05).The recurrence rate was significantly lower in group B and group C than in group A(P<0.05).Conclusion The correction effect of the areola single-flap method is superior to that of the silk trac-tion method and areola double-flap method in patients with type Ⅲ nipple retraction,thereby enhancing clinical efficacy,patient satisfaction,nipple aesthetics,and functionality while reducing complications and recurrence rates.