Background:Lung cancer is the most commonly diagnosed cancer worldwide.Its survival rate can be significantly improved by early screening.Biomarkers based on radiomics features have been found to provide important phy...Background:Lung cancer is the most commonly diagnosed cancer worldwide.Its survival rate can be significantly improved by early screening.Biomarkers based on radiomics features have been found to provide important physiological information on tumors and considered as having the potential to be used in the early screening of lung cancer.In this study,we aim to establish a radiomics model and develop a tool to improve the discrimination between benign and malignant pulmonary nodules.Methods:A retrospective study was conducted on 875 patients with benign or malignant pulmonary nodules who underwent computed tomography(CT)examinations between June 2013 and June 2018.We assigned 612 patients to a training cohort and 263 patients to a validation cohort.Radiomics features were extracted from the CT images of each patient.Least absolute shrinkage and selection operator(LASSO)was used for radiomics feature selection and radiomics score calculation.Multivariate logistic regression analysis was used to develop a classification model and radiomics nomogram.Radiomics score and clinical variables were used to distinguish benign and malignant pulmonary nodules in logistic model.The performance of the radiomics nomogram was evaluated by the area under the curve(AUC),calibration curve and Hosmer-Lemeshow test in both the training and validation cohorts.Results:A radiomics score was built and consisted of 20 features selected by LASSO from 1288 radiomics features in the training cohort.The multivariate logistic model and radiomics nomogram were constructed using the radiomics score and patients’age.Good discrimination of benign and malignant pulmonary nodules was obtained from the training cohort(AUC,0.836;95%confidence interval[CI]:0.793-0.879)and validation cohort(AUC,0.809;95%CI:0.745-0.872).The Hosmer-Lemeshow test also showed good performance for the logistic regression model in the training cohort(P=0.765)and validation cohort(P=0.064).Good alignment with the calibration curve indicated the good performance of the nomogram.Conclusions:The established radiomics nomogram is a noninvasive preoperative prediction tool for malignant pulmonary nodule diagnosis.Validation revealed that this nomogram exhibited excellent discrimination and calibration capacities,suggesting its clinical utility in the early screening of lung cancer.展开更多
From late January to March,more than 42,000 doctors,nurses,public health workers,and health administrators across China went to Hubei Province to assist in the response to coronavirus disease 2019(COVID-19).There are ...From late January to March,more than 42,000 doctors,nurses,public health workers,and health administrators across China went to Hubei Province to assist in the response to coronavirus disease 2019(COVID-19).There are many studies on nutrition status of affected people amid natural disasters or pandemics(1–3),but the diet and nutrition status of healthcare workers receive little attention.The aim of this article is to provide evidence for addressing this issue by investigating food supply and nutrition status during the COVID-19 response period.展开更多
What is already known about this topic?Elderly persons are vulnerable to infectious diseases,and nutritional status and health conditions were important to evaluate for disease prevention and ability to recover for th...What is already known about this topic?Elderly persons are vulnerable to infectious diseases,and nutritional status and health conditions were important to evaluate for disease prevention and ability to recover for the elderly during the coronavirus disease 2019(COVID-19)pandemic.What is added by this report?In our study,a rapid assessment questionnaire was used to investigate the change of household life and dietary intake of the elderly(aged 60 years or more)during community closure.Food consumption frequency of aquatic food products,soybeans,and fresh fruits declined dramatically with reductions of 70.9%,70.9%,and 53.0%,respectively,and 49.6%of the elderly lived with chronic non-communicable diseases but had little knowledge of nutrition and health.What are the implications for public health practice?Community closure measures in Wuhan City have played a key role in cutting off the transmission route of COVID-19 and protecting vulnerable groups.As a high-risk population,the elderly should be advised to maintain and strengthen a balanced diet with proper nutrition through increasing intake of aquatic food products,soybeans,fruits,and vegetables,reducing total caloric intake,and decreasing oil and salt consumption.These measures will be significant for the elderly to reduce the risk of chronic disease complications and COVID-19 infection and to decrease the chance of critical illness.展开更多
基金Key R&D project of Shandong Province,Grant/Award Number:2018GSF118152
文摘Background:Lung cancer is the most commonly diagnosed cancer worldwide.Its survival rate can be significantly improved by early screening.Biomarkers based on radiomics features have been found to provide important physiological information on tumors and considered as having the potential to be used in the early screening of lung cancer.In this study,we aim to establish a radiomics model and develop a tool to improve the discrimination between benign and malignant pulmonary nodules.Methods:A retrospective study was conducted on 875 patients with benign or malignant pulmonary nodules who underwent computed tomography(CT)examinations between June 2013 and June 2018.We assigned 612 patients to a training cohort and 263 patients to a validation cohort.Radiomics features were extracted from the CT images of each patient.Least absolute shrinkage and selection operator(LASSO)was used for radiomics feature selection and radiomics score calculation.Multivariate logistic regression analysis was used to develop a classification model and radiomics nomogram.Radiomics score and clinical variables were used to distinguish benign and malignant pulmonary nodules in logistic model.The performance of the radiomics nomogram was evaluated by the area under the curve(AUC),calibration curve and Hosmer-Lemeshow test in both the training and validation cohorts.Results:A radiomics score was built and consisted of 20 features selected by LASSO from 1288 radiomics features in the training cohort.The multivariate logistic model and radiomics nomogram were constructed using the radiomics score and patients’age.Good discrimination of benign and malignant pulmonary nodules was obtained from the training cohort(AUC,0.836;95%confidence interval[CI]:0.793-0.879)and validation cohort(AUC,0.809;95%CI:0.745-0.872).The Hosmer-Lemeshow test also showed good performance for the logistic regression model in the training cohort(P=0.765)and validation cohort(P=0.064).Good alignment with the calibration curve indicated the good performance of the nomogram.Conclusions:The established radiomics nomogram is a noninvasive preoperative prediction tool for malignant pulmonary nodule diagnosis.Validation revealed that this nomogram exhibited excellent discrimination and calibration capacities,suggesting its clinical utility in the early screening of lung cancer.
文摘From late January to March,more than 42,000 doctors,nurses,public health workers,and health administrators across China went to Hubei Province to assist in the response to coronavirus disease 2019(COVID-19).There are many studies on nutrition status of affected people amid natural disasters or pandemics(1–3),but the diet and nutrition status of healthcare workers receive little attention.The aim of this article is to provide evidence for addressing this issue by investigating food supply and nutrition status during the COVID-19 response period.
文摘What is already known about this topic?Elderly persons are vulnerable to infectious diseases,and nutritional status and health conditions were important to evaluate for disease prevention and ability to recover for the elderly during the coronavirus disease 2019(COVID-19)pandemic.What is added by this report?In our study,a rapid assessment questionnaire was used to investigate the change of household life and dietary intake of the elderly(aged 60 years or more)during community closure.Food consumption frequency of aquatic food products,soybeans,and fresh fruits declined dramatically with reductions of 70.9%,70.9%,and 53.0%,respectively,and 49.6%of the elderly lived with chronic non-communicable diseases but had little knowledge of nutrition and health.What are the implications for public health practice?Community closure measures in Wuhan City have played a key role in cutting off the transmission route of COVID-19 and protecting vulnerable groups.As a high-risk population,the elderly should be advised to maintain and strengthen a balanced diet with proper nutrition through increasing intake of aquatic food products,soybeans,fruits,and vegetables,reducing total caloric intake,and decreasing oil and salt consumption.These measures will be significant for the elderly to reduce the risk of chronic disease complications and COVID-19 infection and to decrease the chance of critical illness.
