Objective:To construct a multi-dimensional life-cycle management(MDLM)of medical equipment based on fast Fourier transform-convolutional neural network(FFT-CNN),so as to provide data support for the life-cycle management of medical equipment and its multi-dimensional derivation.Methods:The MDLM system of medical equipment was constructed by setting display layer of comprehensive information,data extension layer of multi business,data layer of life cycle of equipment,data acquisition layer.The FFT-CNN algorithm was adopted to mapping characteristic data of operating medical equipment as business data of hospital,and then,they were derived to operational management indicators of hospital from 6 dimensions included carbon trajectory,operation and maintenance trajectory,benefit trajectory,safety trajectory,performance trajectory and assessment trajectory.The data prober of artificial internet of things(AIoT),and pattern recognition and indicator derivation of FFT-CNN were adopted to conduct comprehensively digital transformation management for life-cycle of medical equipment.The management data that MDLM system were applied in the medical equipment of Baoying People's Hospital from August 2023 to April 2024 were selected to compare the efficiency of maintaining magnetic resonance(MR)equipment of hospital before and after the system was applied.Results:The MDLM system of medical equipment realized the life-cycle management for medical equipment in eight stages included demand,procurement,installation,archiving,operation,monitoring,maintenance and scrapping,and realized the use of"the extended data of energy consumption management,operation and maintenance management,efficiency management,safety management,performance management and assessment management that derived from the indicators of 6 dimensions"in conducting routine management for medical equipment of hospital.The average repair time of the failure of MR equipment of hospital has been decreased from 6.8 hours before the system was applied to 2.3 hours after it was applied,which significantly improved the efficiency of operation and maintenance,and the availability efficiency of the equipment.Conclusion:The FFT-CNN-based MDLM system of medical equipment has established special database of life-cycle management for medical equipment,which can provide multi-dimensionally objective,complete and relevant data support for lean management for medical equipment of hospital,and can improve the efficiency of operating and maintaining equipment.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective To explore the experiences of children with Crohn's disease and their parents regarding the exclusion diet,and to provide a basis for formulating personalized dietary guidance programs.Methods A total of 12 children with Crohn's disease and their parents,hospitalized in the Department of Gastroenterology at a tertiary children's hospital in Guangzhou from June to December 2023,were selected as research subjects using objective sampling.Semi-structured interviews were conducted,and the data were analyzed and refined using Colaizzi's seven-step analysis method.Results Totally 3 themes and 14 sub-themes were extracted.①Lack of cognition and trust in Crohn's disease exclusion diet(unfamiliarity with the contents of the diet,misunderstanding of the diet's preparation,inadequate response to daily exclusion diet practices,parents' distrust in the exclusion diet).②The practical challenges of the Crohn's disease exclusion diet(the challenge of personal dietary preferences,the challenge of family meal preparation,the challenge of school feeding,food intolerance,feelings of monotony and weariness following the exclusion diet).③Innovations in practicing the Crohn's disease exclusion diet(managing taste fatigue,managing visual fatigue,innovative cooking methods,prioritizing exclusive enteral nutrition followed by the exclusion diet,overcoming the desire for universal food).Conclusion Children with Crohn's disease and their parents exhibit insufficient cognition and trust in the exclusion diet and face various challenges in practice.Clinical medical staff should adopt personalized coping strategies tailored to the specific circumstances of each child.

Cancer-induced bone pain(CIBP)causes substantial suffering for cancer patients and also diminishes their quality of life and self-esteem.The mechanisms underlying CIBP are complex and evolve progressively with cancer advancement.Current treatment options show limited efficacy and are often accompanied by adverse effects.Traditional Chinese medicine demonstrates potential advantages in managing CIBP;however,the mechanisms of action remain poorly understood and require further investigation.The development of a standardized,stable,and reproducible animal model is crucial to advancing research on disease pathogenesis and verifying the effectiveness of therapeutic interventions.This review considers recent method for modeling CIBP in animals and summarizes the application of these models in studies of traditional Chinese medicine mechanisms,with the aim of guiding future research directions in CIBP.

Background and Aims:Centrally located breast cancer(CLBC),due to its proximity to the nipple-areolar complex,has long been treated primarily with mastectomy,while the oncologic safety of breast-conserving surgery(BCS)remains controversial.This study,based on a large-scale database combined with a real-world cohort,compared the survival outcomes of BCS and mastectomy to evaluate the feasibility and oncologic safety of BCS in CLBC patients.Methods:Data of 10 325 female CLBC patients diagnosed between 2010 and 2015 were extracted from the SEER database,including 5 601 patients who underwent BCS and 4 724 who underwent mastectomy.Propensity score matching(PSM)yielded 1 951 matched pairs,and disease-specific survival(DSS)and overall survival(OS)were compared between groups.Cox regression analyses were performed to identify prognostic factors,and subgroup analyses were conducted.Additionally,an independent validation cohort from Xiangya Hospital,Central South University(2015-2016)included 221 BCS and 636 mastectomy patients,with OS and progression-free survival(PFS)assessed.Results:After PSM,baseline characteristics between groups were well balanced.Kaplan-Meier analysis demonstrated no significant differences in DSS or OS between BCS and mastectomy,and 5-,7-,and 10-year OS rates were comparable(all P＞0.05).Subgroup analyses revealed equivalent outcomes for BCS and mastectomy in patients with T1/T2 disease,different HER2 statuses,and those receiving chemotherapy,while in patients receiving radiotherapy,BCS showed significantly better DSS and OS than mastectomy(both P＜0.05).Multivariate Cox regression identified T,N,and M stage,histologic grade,molecular subtype,ER/PR status,and chemotherapy as independent prognostic factors(all P＜0.05),whereas surgical type was not(P＞0.05).The validation cohort confirmed the SEER findings,with no significant differences in OS or PFS between the two groups(both P＞0.05).Conclusions:BCS provides DSS and OS comparable to mastectomy in CLBC patients and may confer additional survival benefits when combined with radiotherapy.These findings suggest that CLBC should not be considered a contraindication to BCS,supporting BCS as a feasible and safe surgical strategy that offers valuable evidence for individualized clinical decision-making and may help improve patients' quality of life.

Background and Aims:Centrally located breast cancer(CLBC),due to its proximity to the nipple-areolar complex,has long been treated primarily with mastectomy,while the oncologic safety of breast-conserving surgery(BCS)remains controversial.This study,based on a large-scale database combined with a real-world cohort,compared the survival outcomes of BCS and mastectomy to evaluate the feasibility and oncologic safety of BCS in CLBC patients.Methods:Data of 10 325 female CLBC patients diagnosed between 2010 and 2015 were extracted from the SEER database,including 5 601 patients who underwent BCS and 4 724 who underwent mastectomy.Propensity score matching(PSM)yielded 1 951 matched pairs,and disease-specific survival(DSS)and overall survival(OS)were compared between groups.Cox regression analyses were performed to identify prognostic factors,and subgroup analyses were conducted.Additionally,an independent validation cohort from Xiangya Hospital,Central South University(2015-2016)included 221 BCS and 636 mastectomy patients,with OS and progression-free survival(PFS)assessed.Results:After PSM,baseline characteristics between groups were well balanced.Kaplan-Meier analysis demonstrated no significant differences in DSS or OS between BCS and mastectomy,and 5-,7-,and 10-year OS rates were comparable(all P＞0.05).Subgroup analyses revealed equivalent outcomes for BCS and mastectomy in patients with T1/T2 disease,different HER2 statuses,and those receiving chemotherapy,while in patients receiving radiotherapy,BCS showed significantly better DSS and OS than mastectomy(both P＜0.05).Multivariate Cox regression identified T,N,and M stage,histologic grade,molecular subtype,ER/PR status,and chemotherapy as independent prognostic factors(all P＜0.05),whereas surgical type was not(P＞0.05).The validation cohort confirmed the SEER findings,with no significant differences in OS or PFS between the two groups(both P＞0.05).Conclusions:BCS provides DSS and OS comparable to mastectomy in CLBC patients and may confer additional survival benefits when combined with radiotherapy.These findings suggest that CLBC should not be considered a contraindication to BCS,supporting BCS as a feasible and safe surgical strategy that offers valuable evidence for individualized clinical decision-making and may help improve patients' quality of life.

Objective To explore the experiences of children with Crohn's disease and their parents regarding the exclusion diet,and to provide a basis for formulating personalized dietary guidance programs.Methods A total of 12 children with Crohn's disease and their parents,hospitalized in the Department of Gastroenterology at a tertiary children's hospital in Guangzhou from June to December 2023,were selected as research subjects using objective sampling.Semi-structured interviews were conducted,and the data were analyzed and refined using Colaizzi's seven-step analysis method.Results Totally 3 themes and 14 sub-themes were extracted.①Lack of cognition and trust in Crohn's disease exclusion diet(unfamiliarity with the contents of the diet,misunderstanding of the diet's preparation,inadequate response to daily exclusion diet practices,parents' distrust in the exclusion diet).②The practical challenges of the Crohn's disease exclusion diet(the challenge of personal dietary preferences,the challenge of family meal preparation,the challenge of school feeding,food intolerance,feelings of monotony and weariness following the exclusion diet).③Innovations in practicing the Crohn's disease exclusion diet(managing taste fatigue,managing visual fatigue,innovative cooking methods,prioritizing exclusive enteral nutrition followed by the exclusion diet,overcoming the desire for universal food).Conclusion Children with Crohn's disease and their parents exhibit insufficient cognition and trust in the exclusion diet and face various challenges in practice.Clinical medical staff should adopt personalized coping strategies tailored to the specific circumstances of each child.

Objective:To construct a multi-dimensional life-cycle management(MDLM)of medical equipment based on fast Fourier transform-convolutional neural network(FFT-CNN),so as to provide data support for the life-cycle management of medical equipment and its multi-dimensional derivation.Methods:The MDLM system of medical equipment was constructed by setting display layer of comprehensive information,data extension layer of multi business,data layer of life cycle of equipment,data acquisition layer.The FFT-CNN algorithm was adopted to mapping characteristic data of operating medical equipment as business data of hospital,and then,they were derived to operational management indicators of hospital from 6 dimensions included carbon trajectory,operation and maintenance trajectory,benefit trajectory,safety trajectory,performance trajectory and assessment trajectory.The data prober of artificial internet of things(AIoT),and pattern recognition and indicator derivation of FFT-CNN were adopted to conduct comprehensively digital transformation management for life-cycle of medical equipment.The management data that MDLM system were applied in the medical equipment of Baoying People's Hospital from August 2023 to April 2024 were selected to compare the efficiency of maintaining magnetic resonance(MR)equipment of hospital before and after the system was applied.Results:The MDLM system of medical equipment realized the life-cycle management for medical equipment in eight stages included demand,procurement,installation,archiving,operation,monitoring,maintenance and scrapping,and realized the use of"the extended data of energy consumption management,operation and maintenance management,efficiency management,safety management,performance management and assessment management that derived from the indicators of 6 dimensions"in conducting routine management for medical equipment of hospital.The average repair time of the failure of MR equipment of hospital has been decreased from 6.8 hours before the system was applied to 2.3 hours after it was applied,which significantly improved the efficiency of operation and maintenance,and the availability efficiency of the equipment.Conclusion:The FFT-CNN-based MDLM system of medical equipment has established special database of life-cycle management for medical equipment,which can provide multi-dimensionally objective,complete and relevant data support for lean management for medical equipment of hospital,and can improve the efficiency of operating and maintaining equipment.

Cancer-induced bone pain(CIBP)causes substantial suffering for cancer patients and also diminishes their quality of life and self-esteem.The mechanisms underlying CIBP are complex and evolve progressively with cancer advancement.Current treatment options show limited efficacy and are often accompanied by adverse effects.Traditional Chinese medicine demonstrates potential advantages in managing CIBP;however,the mechanisms of action remain poorly understood and require further investigation.The development of a standardized,stable,and reproducible animal model is crucial to advancing research on disease pathogenesis and verifying the effectiveness of therapeutic interventions.This review considers recent method for modeling CIBP in animals and summarizes the application of these models in studies of traditional Chinese medicine mechanisms,with the aim of guiding future research directions in CIBP.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.