Objective To investigate the application value of clinical-radiomics nomogram in predicting the expression of liver kinase B1(LKB1)in non-small cell lung cancer(NSCLC)before surgery.Methods A total of 140 NSCLC patients were randomized into training group(n=106)and validation group(n=34)according to the ratio of 7∶3.The training group was used as the study cohort to screen the clinically independent predictors and radiomics characteristics related to LKB1 expression,and the clinical model,radiomics model and clinical-radiomics nomogram model were constructed,respectively.The predictive performance of the three models was analyzed using the receiver operating characteristic(ROC)curve in the training group,and validated in the validation group.The calibration curve was used to assess the consistency between the predicted results of nomogram model and the actual observations,and the decision curve was used to evaluate the clinical benefit of the nomogram model.Results The clinical model consisted of pathological type and hilal/mediastinal lymphadenopathy,the radiomics model consisted of Radiomics score(Radscore),and the nomogram model consisted of Radscore,pathological type and hilal/mediastinal lymphadenopathy.In the training group,the area under the curve(AUC)of the nomogram model,radiomics model and clinical model was 0.884,0.843 and 0.788,respectively.In the validation group,the AUC of the three models were 0.976,0.851,and 0.912,respectively.The calibration curve analysis showed good consis-tency between the predicted results of nomogram model and the actual observations,and the decision curve showed that the model had good clinical benefit.Conclusion Radiomics combined with clinical risk factors can effectively predict the expression of LKB1 in NSCLC patients before surgery,so as to contribute to the formulation of therapeutic strategies in clinical practice.

Objective To construct an evaluation index system of organizational resilience of county medical alliance,and to propose countermeasures and suggestions for the enhancement of organizational resilience and operational effectiveness of county medical alliance.Methods The initial evaluation index system was constructed based on literature research and semi-structured interviews.Two rounds of Delphi expert consultation combined with critical value method refined the evaluation indexs.Evaluation index weights were determined via analytic hierarchy process and multiplicative weighting.The system was empirically tested using Zhejiang Province data.Results 21 experts completed consultations.Then the evaluation index system of county medical alliance organizational resilience was formed,which contains 5 first-level indexes,15 second-level indexes and 43 third-level indexes,containing 19 subjective and 24 objective evaluation indexs.The overall evaluation score of the organizational resilience of county medical alliance in Zhejiang Province was 73.97,which was at the average level of resilience.Conclusion The evaluation index system of organizational resilience of county medical alliance fits in with the national development plan to promote the construction of county high-quality,efficient and integrated medical and healthcare service system,and can provide effective measurement tools and theoretical references for the organizational capacity of county medical alliance and their maturity evaluation.

Objective To investigate the application value of clinical-radiomics nomogram in predicting the expression of liver kinase B1(LKB1)in non-small cell lung cancer(NSCLC)before surgery.Methods A total of 140 NSCLC patients were randomized into training group(n=106)and validation group(n=34)according to the ratio of 7∶3.The training group was used as the study cohort to screen the clinically independent predictors and radiomics characteristics related to LKB1 expression,and the clinical model,radiomics model and clinical-radiomics nomogram model were constructed,respectively.The predictive performance of the three models was analyzed using the receiver operating characteristic(ROC)curve in the training group,and validated in the validation group.The calibration curve was used to assess the consistency between the predicted results of nomogram model and the actual observations,and the decision curve was used to evaluate the clinical benefit of the nomogram model.Results The clinical model consisted of pathological type and hilal/mediastinal lymphadenopathy,the radiomics model consisted of Radiomics score(Radscore),and the nomogram model consisted of Radscore,pathological type and hilal/mediastinal lymphadenopathy.In the training group,the area under the curve(AUC)of the nomogram model,radiomics model and clinical model was 0.884,0.843 and 0.788,respectively.In the validation group,the AUC of the three models were 0.976,0.851,and 0.912,respectively.The calibration curve analysis showed good consis-tency between the predicted results of nomogram model and the actual observations,and the decision curve showed that the model had good clinical benefit.Conclusion Radiomics combined with clinical risk factors can effectively predict the expression of LKB1 in NSCLC patients before surgery,so as to contribute to the formulation of therapeutic strategies in clinical practice.

Objective To construct an evaluation index system of organizational resilience of county medical alliance,and to propose countermeasures and suggestions for the enhancement of organizational resilience and operational effectiveness of county medical alliance.Methods The initial evaluation index system was constructed based on literature research and semi-structured interviews.Two rounds of Delphi expert consultation combined with critical value method refined the evaluation indexs.Evaluation index weights were determined via analytic hierarchy process and multiplicative weighting.The system was empirically tested using Zhejiang Province data.Results 21 experts completed consultations.Then the evaluation index system of county medical alliance organizational resilience was formed,which contains 5 first-level indexes,15 second-level indexes and 43 third-level indexes,containing 19 subjective and 24 objective evaluation indexs.The overall evaluation score of the organizational resilience of county medical alliance in Zhejiang Province was 73.97,which was at the average level of resilience.Conclusion The evaluation index system of organizational resilience of county medical alliance fits in with the national development plan to promote the construction of county high-quality,efficient and integrated medical and healthcare service system,and can provide effective measurement tools and theoretical references for the organizational capacity of county medical alliance and their maturity evaluation.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.