Objective:To summarize the clinical application and rules of Zhu Lian acupuncture and moxibustion therapy based on the relevant literature.Methods:Clinical research literature about Zhu Lian acupuncture and moxibustion therapy was retrieved from CNKI, Wanfang Data, Chongqing VIP, CBM and PubMed from the establishment of the databases to May 10, 2024. Excel 2019 was used to establish literature database. The TCM data mining system (TCM Minner) was used to analyze the clinical application of Zhu Lian acupuncture and moxibustion therapy, combination with other therapies, treatment methods, acupoint selection, needle retention time and other information.Results:A total of 95 articles were included. Zhu Lian acupuncture and moxibustion therapy was mainly used in internal medicine, surgery, gynecology, and dermatology, involving 40 diseases. Among them, the number of internal diseases was the most (19 times), followed by surgical diseases (14 times). The main diseases included stroke and its sequelae, facial paralysis, cervical spondylosis and lumbar disc herniation. There were 73 studies on the combination of other therapies, with mild moxibustion being the most widely used (21 times). In terms of manipulation, Zhu Lian inhibition of type Ⅱ acupuncture was the most widely used (26 times), followed by Zhu Lian excitation of type Ⅱ acupuncture (17 times). Acupoint selection mainly included Zusanli (45 times), Sanyinjiao (39 times), Hegu (34 times) and so on. Zhu Lian inhibition of type Ⅰ acupuncture needle retention time was mainly 30 min; Zhu Lian inhibition of type Ⅱ acupuncture was mainly 30 min, 20 min, and 15 min; Zhu Lian excitement of type Ⅰ acupuncture was mostly without needle retention; Zhu Lian excitement type Ⅱ acupuncture was mainly 10 min and 5 min; slow twisting acupuncture was mainly 30 min; Zhu Lian finger acupuncture therapy was mainly 20-25 min.Conclusion:Zhu Lian acupuncture and moxibustion therapy is mostly used to treat internal medicine and surgical diseases. Zhu Lian inhibition type Ⅱ and excitation type Ⅱ acupuncture methods are often used for treatment, and mild moxibustion therapy is often used to enhance the efficacy.

Objective To observe the value of nomogram based on enhanced cortical phase CT Radscore combined with CT features for predicting synchronous distant metastasis(SDM)of renal cell carcinoma(RCC).Methods Totally 139 RCC patients from center A were retrospectively enrolled and divided into SDM group(n=46)and non-SDM group(n=93),also classified as training set(n=97)and test set(n=42)at a ratio of 7∶3.Additionally,20 RCC patients from center B were included as validation set(8 cases with SDM and 12 cases without SDM).Radiomics features were extracted and screened based on enhanced cortical phase CT images to calculate Radscore.Multivariate logistic regression analysis was performed to identify independent predictors of RCC SDM among clinical and CT features.Then a logistic regression model was constructed combining Radscore and independent predictors of RCC SDM and visualized as a nomogram.The receiver operating characteristic curve and the area under the curve(AUC)was used to assess the efficacy of the nomogram for predicting RCC SDM.Results The maximum tumor diameter,CT-T stage and perirenal adipose stranding were all independent predictors of RCC SDM(all P＜0.01).Radscore was calculated based on 5 optimal features.The nomogram was constructed based on perirenal adipose stranding,CT-T stage and Radscore.AUC of the model for predicting RCC SDM in training set,test set and validation set was 0.964,0.921 and 0.885,respectively.Conclusion Enhanced cortical phase CT Radscore combined with perirenal adipose stranding and CT-T stage could effectively predict RCC SDM.

Objective To observe the value of nomogram based on enhanced cortical phase CT Radscore combined with CT features for predicting synchronous distant metastasis(SDM)of renal cell carcinoma(RCC).Methods Totally 139 RCC patients from center A were retrospectively enrolled and divided into SDM group(n=46)and non-SDM group(n=93),also classified as training set(n=97)and test set(n=42)at a ratio of 7∶3.Additionally,20 RCC patients from center B were included as validation set(8 cases with SDM and 12 cases without SDM).Radiomics features were extracted and screened based on enhanced cortical phase CT images to calculate Radscore.Multivariate logistic regression analysis was performed to identify independent predictors of RCC SDM among clinical and CT features.Then a logistic regression model was constructed combining Radscore and independent predictors of RCC SDM and visualized as a nomogram.The receiver operating characteristic curve and the area under the curve(AUC)was used to assess the efficacy of the nomogram for predicting RCC SDM.Results The maximum tumor diameter,CT-T stage and perirenal adipose stranding were all independent predictors of RCC SDM(all P＜0.01).Radscore was calculated based on 5 optimal features.The nomogram was constructed based on perirenal adipose stranding,CT-T stage and Radscore.AUC of the model for predicting RCC SDM in training set,test set and validation set was 0.964,0.921 and 0.885,respectively.Conclusion Enhanced cortical phase CT Radscore combined with perirenal adipose stranding and CT-T stage could effectively predict RCC SDM.