BACKGROUND Differentiated thyroid cancer(DTC)often seriously impacts patients’lives.Radionuclide Iodine-131(131I)is widely used in treating patients with DTC.However,most patients know little about radionuclide thera...BACKGROUND Differentiated thyroid cancer(DTC)often seriously impacts patients’lives.Radionuclide Iodine-131(131I)is widely used in treating patients with DTC.However,most patients know little about radionuclide therapy,and the treatment needs to be performed in a special isolation ward,which can cause anxiety and depression.AIM To explore anxiety and depression status and their influencing factors after 131I treatment in patients with DTC.METHODS A questionnaire survey was conducted among postoperative patients with DTC who received 131I treatment at our hospital from June 2020 to December 2022.General patient data were collected using a self-administered demographic characteristics questionnaire.The self-rating depression scale and self-rating anxiety scale were used to determine whether patients were worried about their symptoms and the degree of anxiety and depression.The patients were categorized into anxiety,non-anxiety,depression,and non-depression groups.Singlevariable and multiple-variable analyses were used to determine the risk factors for anxiety and depression in patients with thyroid cancer after surgery.RESULTS A total of 144 patients were included in this study.The baseline mean score of self-rating anxiety and depression scales were 50.06±16.10 and 50.96±16.55,respectively.Notably,48.62%(70/144)had anxiety and 47.22%(68/144)of the patients had depression.Sex,age,education level,marital status,household income,underlying diseases,and medication compliance significantly differed among groups(P<0.05).Furthermore,multivariate logistic regression analysis showed that education level,per capita monthly household income,and medication compliance level affected anxiety(P=0.015,0.001,and 0.001 respectively).Patient’s sex,marital status,and underlying diseases affected depression(P=0.007,0.001,and 0.009,respectively).CONCLUSION Nursing interventions aiming at reducing the risk of anxiety and depression should target unmarried female patients with low education level,low family income,underlying diseases,and poor adherence to medications.展开更多
Objective:To construct a prediction model for three-dimensional(3D)dose distribution of iodine-131 based on SPECT/CT radiomics features.Methods:A multi-scale feature pyramid network(MSFPN)was used to extract heterogen...Objective:To construct a prediction model for three-dimensional(3D)dose distribution of iodine-131 based on SPECT/CT radiomics features.Methods:A multi-scale feature pyramid network(MSFPN)was used to extract heterogeneity features of thyroid tissues before and after iodine-131 treatment.A spatiotemporal modeling framework(MSFPN+CNN+GAT+3D model)integrating convolutional neural network(CNN)and graph attention network(GAT)was established to achieve precise dose distri-bution prediction.Clinical and imaging data from 320 patients at a tertiary hospital were divided into training,validation,and test sets at a 7:2:1 ratio.The models were evaluated for iodine-131 residence time and time-activity curves(TACs)of key target organs.Pre-dictive accuracy was assessed using root mean square error(RMSE),mean absolute error(MAE),and gamma index.Results:The residence time of iodine-131 in the thyroid,bladder,and stomach was longer than that in the bone marrow(P<0.05).Following io-dine-131 treatment,the activity curve of bone marrow showed minimal variation over time.The bladder tissue exhibited an initial increase in activity,reaching its peak at 4 h.followed by a gradual decline.Both the thyroid and gastric tissues demonstrated a de-creasing trend in activity over time,with the gastric tissue displaying even lower dose levels compared to the thyroid.The RMSE and MAE of the MSFPN+CNN+GAT+3D model for the dose distribution of each target organ were lower than those of the MSFPN.ResNet and 3D CNN models,and the γ index was higher than those of the MSFPN,ResNet and 3D CNN models(P<0.05),and there was no statistical significance when compared with the ensemble model(P>0.05).Conclusion:The MSFPN+CNN+GAT+3D model systematically captures deep radiomics features,effectively facilitating the imag-ing evaluation of the accurate dose distribution of multiple organs during radioactive io-dine-131 treatment.展开更多
基金Supported by Fujian Science and Technology Plan Project,No.2022J01784.
文摘BACKGROUND Differentiated thyroid cancer(DTC)often seriously impacts patients’lives.Radionuclide Iodine-131(131I)is widely used in treating patients with DTC.However,most patients know little about radionuclide therapy,and the treatment needs to be performed in a special isolation ward,which can cause anxiety and depression.AIM To explore anxiety and depression status and their influencing factors after 131I treatment in patients with DTC.METHODS A questionnaire survey was conducted among postoperative patients with DTC who received 131I treatment at our hospital from June 2020 to December 2022.General patient data were collected using a self-administered demographic characteristics questionnaire.The self-rating depression scale and self-rating anxiety scale were used to determine whether patients were worried about their symptoms and the degree of anxiety and depression.The patients were categorized into anxiety,non-anxiety,depression,and non-depression groups.Singlevariable and multiple-variable analyses were used to determine the risk factors for anxiety and depression in patients with thyroid cancer after surgery.RESULTS A total of 144 patients were included in this study.The baseline mean score of self-rating anxiety and depression scales were 50.06±16.10 and 50.96±16.55,respectively.Notably,48.62%(70/144)had anxiety and 47.22%(68/144)of the patients had depression.Sex,age,education level,marital status,household income,underlying diseases,and medication compliance significantly differed among groups(P<0.05).Furthermore,multivariate logistic regression analysis showed that education level,per capita monthly household income,and medication compliance level affected anxiety(P=0.015,0.001,and 0.001 respectively).Patient’s sex,marital status,and underlying diseases affected depression(P=0.007,0.001,and 0.009,respectively).CONCLUSION Nursing interventions aiming at reducing the risk of anxiety and depression should target unmarried female patients with low education level,low family income,underlying diseases,and poor adherence to medications.
文摘Objective:To construct a prediction model for three-dimensional(3D)dose distribution of iodine-131 based on SPECT/CT radiomics features.Methods:A multi-scale feature pyramid network(MSFPN)was used to extract heterogeneity features of thyroid tissues before and after iodine-131 treatment.A spatiotemporal modeling framework(MSFPN+CNN+GAT+3D model)integrating convolutional neural network(CNN)and graph attention network(GAT)was established to achieve precise dose distri-bution prediction.Clinical and imaging data from 320 patients at a tertiary hospital were divided into training,validation,and test sets at a 7:2:1 ratio.The models were evaluated for iodine-131 residence time and time-activity curves(TACs)of key target organs.Pre-dictive accuracy was assessed using root mean square error(RMSE),mean absolute error(MAE),and gamma index.Results:The residence time of iodine-131 in the thyroid,bladder,and stomach was longer than that in the bone marrow(P<0.05).Following io-dine-131 treatment,the activity curve of bone marrow showed minimal variation over time.The bladder tissue exhibited an initial increase in activity,reaching its peak at 4 h.followed by a gradual decline.Both the thyroid and gastric tissues demonstrated a de-creasing trend in activity over time,with the gastric tissue displaying even lower dose levels compared to the thyroid.The RMSE and MAE of the MSFPN+CNN+GAT+3D model for the dose distribution of each target organ were lower than those of the MSFPN.ResNet and 3D CNN models,and the γ index was higher than those of the MSFPN,ResNet and 3D CNN models(P<0.05),and there was no statistical significance when compared with the ensemble model(P>0.05).Conclusion:The MSFPN+CNN+GAT+3D model systematically captures deep radiomics features,effectively facilitating the imag-ing evaluation of the accurate dose distribution of multiple organs during radioactive io-dine-131 treatment.
