Objective: To evaluate the feasibility of texture analysis on non-contrast-enhanced T1 maps of cardiac magnetic resonance (CMR) imaging for the diagnosis of myocardial injury in acute myocardial infarction (MI). Materials and Methods: This study included 68 patients (57 males and 11 females; mean age, 55.7 ± 10.5 years) with acute ST-segment-elevation MI who had undergone 3T CMR after a percutaneous coronary intervention. Forty patients of them also underwent a 6-month follow-up CMR. The CMR protocol included T2-weighted imaging, T1 mapping, rest first-pass perfusion, and late gadolinium enhancement. Radiomics features were extracted from the T1 maps using open-source software. Radiomics signatures were constructed with the selected strongest features to evaluate the myocardial injury severity and predict the recovery of left ventricular (LV) longitudinal systolic myocardial contractility. Results: A total of 1088 segments of the acute CMR images were analyzed; 103 (9.5%) segments showed microvascular obstruction (MVO), and 557 (51.2%) segments showed MI. A total of 640 segments were included in the 6-month follow-up analysis, of which 160 (25.0%) segments showed favorable recovery of LV longitudinal systolic myocardial contractility.Combined radiomics signature and T1 values resulted in a higher diagnostic performance for MVO compared to T1 values alone (area under the curve [AUC] in the training set; 0.88, 0.72, p = 0.031: AUC in the test set; 0.86, 0.71, p = 0.002).Combined radiomics signature and T1 values also provided a higher predictive value for LV longitudinal systolic myocardial contractility recovery compared to T1 values (AUC in the training set; 0.76, 0.55, p < 0.001: AUC in the test set; 0.77, 0.60, p < 0.001). Conclusion The combination of radiomics of non-contrast-enhanced T1 mapping and T1 values could provide higher diagnostic accuracy for MVO. Radiomics also provides incremental value in the prediction of LV longitudinal systolic myocardial contractility at six months.

Objective: To evaluate the feasibility of texture analysis on non-contrast-enhanced T1 maps of cardiac magnetic resonance (CMR) imaging for the diagnosis of myocardial injury in acute myocardial infarction (MI). Materials and Methods: This study included 68 patients (57 males and 11 females; mean age, 55.7 ± 10.5 years) with acute ST-segment-elevation MI who had undergone 3T CMR after a percutaneous coronary intervention. Forty patients of them also underwent a 6-month follow-up CMR. The CMR protocol included T2-weighted imaging, T1 mapping, rest first-pass perfusion, and late gadolinium enhancement. Radiomics features were extracted from the T1 maps using open-source software. Radiomics signatures were constructed with the selected strongest features to evaluate the myocardial injury severity and predict the recovery of left ventricular (LV) longitudinal systolic myocardial contractility. Results: A total of 1088 segments of the acute CMR images were analyzed; 103 (9.5%) segments showed microvascular obstruction (MVO), and 557 (51.2%) segments showed MI. A total of 640 segments were included in the 6-month follow-up analysis, of which 160 (25.0%) segments showed favorable recovery of LV longitudinal systolic myocardial contractility.Combined radiomics signature and T1 values resulted in a higher diagnostic performance for MVO compared to T1 values alone (area under the curve [AUC] in the training set; 0.88, 0.72, p = 0.031: AUC in the test set; 0.86, 0.71, p = 0.002).Combined radiomics signature and T1 values also provided a higher predictive value for LV longitudinal systolic myocardial contractility recovery compared to T1 values (AUC in the training set; 0.76, 0.55, p < 0.001: AUC in the test set; 0.77, 0.60, p < 0.001). Conclusion The combination of radiomics of non-contrast-enhanced T1 mapping and T1 values could provide higher diagnostic accuracy for MVO. Radiomics also provides incremental value in the prediction of LV longitudinal systolic myocardial contractility at six months.

Objective:To explore effects of specialist nurse sharing of Respiratory Medicine Department in transitional care of patients with chronic obstructive pulmonary disease (COPD) under medical integration mode.Methods:Using the convenient sampling method, a total of 134 COPD patients who were hospitalized in Respiratory Department of Xinxiang Central Hospital were selected from October 2018 to October 2019. They were randomly divided into the control group and the observation group, with 67 cases in each group. The patients in the control group were given routine management after they were discharged from the hospital, while patients in the observation group were given specialist nurse sharing of Respiratory Medicine Department under medical integration mode for a period of 1 year after they were discharged from the hospital. BODE index, COPD Assessment Test (CAT) scale score, readmission rate and average length of hospital stay within 1 year were compared between the two groups.Results:After intervention, percent predicted of forced expiratory volume in first second (FEV1% Predicted) and Six-Minute Walk Test (6MWT) in the observation group were higher than those in the control group and higher than those before the intervention, and the differences were statistically significant ( P<0.05) . After the intervention, mMRC score, BODE index and CAT score of the observation group were lower than those of the control group and were lower than those before the intervention, and the differences were statistically significant ( P<0.05) . The readmission rate within 1 year of the observation group and the control group were respectively 23.88% and 49.25%, and the difference between the two groups was statistically significant ( P<0.05) . The average length of hospital stay within a year in the observation group was shorter than that in the control group, and the difference between the two groups was statistically significant ( P<0.05) . Conclusions:Transitional care for COPD patients using specialist nurse sharing of Respiratory Medicine Department under medical integration mode can effectively alleviate the condition, improve quality of life, reduce the readmission rate and shorten the average length of hospital stay.