Objective To discuss the clinical efficacy of absolute ethanol and foam hardening agent in the treatment of large venous malformations(VM)in child patients.Methods The clinical data of a total of 60 child patients with solitary large VM were retrospectively analyzed.The child patients were divided into group A(n=30)and group B(n=30).Patients in group A received absolute ethanol injection followed by foam hardening agent injection,while patients in group B received foam hardening agent injection followed by absolute ethanol injection.The clinical efficacy,complications,mean number of injections and mean dosage of absolute ethanol were compared between the two groups.Results The total effective rate in both group A and group B was 100%.The markedly effective rate in group A and group B was 63.33%(19/30)and 90%(27/30)respectively,and the difference was statistically significant(P＜0.05).In group A and group B,the mean dosage of absolute ethanol was(10.30±3.19)mL and(6.73±2.06)mL respectively,the mean number of injection was(3.57±1.01)times and(2.63±0.61)times respectively,and the differences in the above two indexes were statistically significant(both P＜0.05).No serious complications occurred in either group.The incidence of blisters in group A and group B was 30%(9/30)and 6.67%(2/30)respectively,and the difference was statistically significant(P＜0.05).Conclusion For large VM in child patients,combination use of absolute ethanol and foam hardening agent can improve the curative efficacy,reduce the dosage of absolute ethanol,and lower the incidence of complications.In addition,the therapeutic mode of foam hardening agent injection followed by absolute ethanol injection can achieve better efficacy.(J Intervent Radiol,2024,32:28-32)

ObjectiveTo analyze the quantity-quality transfer of standard decoction of Ginseng Radix et Rhizoma（GRR） decoction pieces produced by fresh and traditional cutting， and to provide reference for quality control and application development of the decoction pieces produced by fresh cutting. MethodTen batches of representative GRR decoction pieces produced by fresh and traditional cutting and their standard decoctions were prepared by standard process， and high performance liquid chromatography（HPLC） fingerprint of the standard decoction was established and performed on an Agilent EC-C₁₈ column（4.6 mm×150 mm， 2.7 μm） with acetonitrile（A）-0.1% phosphoric acid aqueous solution（B） as the mobile phase for gradient elution（0-23 min， 18%-21%A； 23-35 min， 21%-28%A； 35-80 min， 28%-32%A）， and the detection wavelength was 203 nm. Then similarity evaluation， principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） of fingerprint of the standard decoction were performed to screen the differential components with variable importance in the projection（VIP） value>1. Quantitative analysis was carried out on the screened known differential components， and combined with the indicators of the dry extract rate and the transfer rate， to explore the differences in the quantity-quality transfer between the standard decoction of GRR decoction pieces produced by fresh and traditional cutting. ResultThe fingerprint similarity of the standard decoction of GRR decoction pieces produced by fresh and traditional cutting was more than 0.950， and 18 common peaks were identified， including 9 identified common peaks. The results of PCA and PLS-DA showed that there were some differences in the contents of index components between the two standard decoctions. The contents of ginsenoside Rg₁， Re and Ro in GRR decoction pieces produced by fresh cutting were higher than those in traditional decoction pieces， while the contents of ginsenoside Rb₁， Rc ， Rb₂ and Rd were lower than those in traditional decoction pieces. The contents of ginsenoside Rg₁， Re， Rb₁ and Ro in the standard decoction of GRR decoction pieces produced by fresh cutting were higher than those in the standard decoction of traditional decoction pieces， while the contents of ginsenoside Rc ， Rb₂ and Rd were comparable between the two standard decoctions. Compared with the standard decoction of the traditional decoction pieces， the average transfer rates of ginsenoside Rg₁， Rb₁， Rc， Rb₂ and dry extract rate of the standard decoction of GRR decoction pieces produced by fresh cutting were significantly increased（P<0.05）， and the average transfer rate of ginsenoside Re and Rd also increased， but the difference was not statistically significant. ConclusionThe dry extract rate， content and transfer rate of index components of standard decoction of GRR decoction pieces produced by fresh cutting are better than those of the standard decoction of traditional decoction pieces， which can provides data support for the subsequent clinical application of fresh cutting products.

Wilson disease（WD）is an inherited disorder caused by mutations in the ATP7B gene.It is characterized by pathological accumulation of copper in the organs throughout the body，especially the liver and brain. This article reviews the latest progress of existing and emerging therapies. At present，the most commonly used treatment methods are oral chelators of copper and zinc agents. Liver transplantation can be used as a treatment for end-stage patients. However，these treatment methods have some shortcomings：many side effects of drugs，poor treatment effect，lifelong treatment，poor patient compliance and so on. At present，the choice of drugs is still in the exploratory stage，and there are no guidelines to specify which patients should receive which treatment. In addition，there are many emerging therapies in different experimental stages，such as new chelators of copper，targeted molecular therapy，gene therapy and cell transplantation. The old methods have many disadvantages and lack large controlled clinical trials，and emerging research is still in its infancy，which are urgent questions.

As the foremost among the four examinations in traditional Chinese medicine （TCM）， inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality， lack of standardization， insufficient algorithm transparency， and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data， the internet of things， and artificial intelligence， coupled with macro policy support from the government， digital and intelligent generalized inspection in TCM has emerged， with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection， multi-dimensional and multimodal perception， fusion analysis， and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis， bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective， this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment， deeply explores how to propose clinical practice-oriented key scientific issues， comprehensively acquire and co-apply multi-dimensional data， establish precise inspection models driven by digital intelligence， optimize standards to enhance equipment interoperability and reliability， construct post-effect evaluation mechanisms to promote improvement， and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM， paving the way for the application of inspection in the global medical and health field.

Objective To assess early clinical safety and efficacy of transfemoral transcatheter aortic valve replacement (TF-TAVR) for pure aortic regurgitation (PAR). Methods The clinical data of PAR patients who underwent TAVR in Wuhan Asia Heart Hospital and Wuhan Asia General Hospital from January 2018 to October 2022 were retrospectively analyzed. Patients were divided into a TF-TAVR group and a transapical transcatheter aortic valve replacement (TA-TAVR) group. The clinical data of the patients were analyzed. Results A total of 54 patients were enrolled, including 34 males and 20 females with an average age of 74.43±6.87 years. The preoperative N-terminal pro-B-type natriuretic peptide level was lower [808.50 (143.50, 2 937.00) pg/mL vs. 2 245.00 (486.30, 7 177.50) pg/mL, P=0.015], and the left ventricular end-diastolic diameter (56.00±6.92 mm vs. 63.07±10.23 mm, P=0.005) and sinus junction diameter (32.47±4.41 mm vs. 37.65±8.08 mm, P=0.007) were smaller in the TF-TAVR group. There was no death in the two groups during the hospitalization. Only 1 new death within postoperative 1 month in the TF-TAVR group (cerebral hemorrhage). A total of 2 new deaths in the TF-TAVR group (1 patient of sudden cardiac death and 1 of multiple organ failure), and there was no death in the TA-TAVR group within postoperative 3 months. There was 1 new death in the TA-TAVR group (details unknown), and there was no death in the TF-TAVR group within postoperative 6 months. There was no statistical difference between the two groups in the all-cause mortality and the cumulative survival rate during the follow-up period (P>0.05). The incidence of high atrioventricular block was 36.0% in the TF-TAVR group and 10.3% in the TA-TAVR group (P=0.024). There were no significant differences between the two groups in the perivalvular leakage (≥moderate), valve in valve, a second valve implantation, valve migration, cerebrovascular events, major vascular complications, complete left bundle branch block, new permanent pacemaker implantation or transferring to surgery (P>0.05). However, the incidence rates of complete left bundle branch block and new permanent pacemaker implantation were higher in the TF-TAVR group, accounting for 56.0% and 40.0%, respectively. Conclusion TF-TAVR is a safe and feasible treatment for PAR patients, which is comparable to TA-TAVR in the early postoperative safety and efficacy.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.