Objectives: To identify significant radiomics features derived from late gadolinium enhancement (LGE) images in participants with hypertrophic cardiomyopathy (HCM) and assess their prognostic value in predicting sudden cardiac death (SCD) endpoint.Method: The 157 radiomic features of 379 sequential participants with HCM who underwent cardiovascular magnetic resonance imaging (MRI) were extracted. CoxNet (Least Absolute Shrinkage and Selection Operator (LASSO) and Elastic Net) and Random Forest models were applied to optimize feature selection for the SCD risk prediction and cross-validation was performed.Results: During a median follow-up of 29 months (interquartile range, 20–42 months), 27 participants with HCM experienced SCD events. Cox analysis revealed that two selected features, local binary patterns (LBP) (19) (hazard ratio (HR), 1.028, 95% CI: 1.032–1.134; P = 0.001) and Moment (1) (HR, 1.212, 95%CI: 1.032–1.423; P = 0.02) provided significant prognostic value to predict the SCD endpoints after adjustment for the clinical risk predictors and late gadolinium enhancement. Furthermore, the univariately significant risk predictor was improved by the addition of the selected radiomics features, LBP (19) and Moment (1), to predict SCD events (P < 0.05).Conclusion: The radiomics features of LBP (19) and Moment (1) extracted from LGE images, reflecting scar heterogeneity, have independent prognostic value in identifying high SCD risk patients with HCM.
Urban planning has transformed from technological means in the traditional ideas to the public policy, because it distributes the public interest according to the spatial resources' disposition. It is explicitly stipulated that the urban planning must ask for the opinions of the public and the experts according to the city and countryside plan law, so the advancement of the plan public participation has become the mutual recognition. The author tracked all the process of the compilation of the Ningbo High-tech Industrial Zones regulatory plan and surveyed the condition of the public participation by means of questionnaire survey, stochastic interview and so on, when the plan was announcing. The prime features and initial causes have been analyzed from the Point of Empirical Research in the urban planning compilation stage, at last the author put forward the proposals how to advance the public participation in the urban planning compilation under the present decision tree.
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