ABSTRACT
Objective:To explore the clinical effectiveness of an automatic computer-aided diagnosis(CAD) method in benign and malignant breast masses discrimination.Methods:The ultrasound images of 539 patients from the Second Hospital of Harbin Medical University and the Second Hospital of Hebei Medical University between 2012 to 2019 were analyzed retrospectively. According to the fifth Breast Imaging Reporting and Data System (BI-RADS), four breast radiologists first sent the case into a BI-RADS category with the original ultrasound image. Then with the CAD result, radiologists gave a category again. Pathology results and clinical data were not available to the radiologists during the diagnosis process. The histological and follow-up results were used as the gold standard. The accuracy of CAD automatic classification, radiologists′ diagnosis before and after CAD application were compared using the ROC curves. The accuracy, sensitivity and specificity of the diagnosis were also calculated.Results:The classification algorithm has a good performance in benign and malignant breast masses discrimination.When the cutoff value was 0.495, the accuracy, sensitivity and specificity were 0.878, 0.868 and 0.886 respectively. When the cutoff value was 0.203, the sensitivity and specificity was 0.981 and 0.337 respectively. With the CAD method, the radiologists improved their diagnostic performance. The total area under the ROC curve for the four radiologists increased from 0.775 to 0.871( P<0.001). The total sensitivity increased from 0.786 to 0.842, and the specificity increased from 0.681 to 0.813. Conclusions:The automatic classification algorithm in this study provides quantitative reference for doctors′ diagnosis. It has the potential to improve junior radiologists′ diagnostic performance in differentiating benign and malignant breast masses.
ABSTRACT
Objective This study aimed to explore the association of non-suicidal self-injury (NSSI) and the coping styles in college undergraduate students.Methods Cluster sampling techniques was used to recruit freshmen students from two universities in Wuhan.Brief COPE scale was used to measure the coping skills at the baseline study.Non-suicidal self-injury was studied one year later through a follow-up program.Results The incidence of NSSI among college students was 2.3％.Students who reported NSSI had higher scores on Self-Blame dimension than those who did not.Results from the multivariate analysis showed that factors as:self-blame coping (OR=-1.30,95％ CI:1.06-1.59),religion (OR=3.55,95％CI:1.50-8.38) and maternal education level (OR=2.46,95％CI:1.25-4.84) were related to NSSI.Conclusion Coping styles were found to be related to non-suicidal self-injury behavior in undergraduate students.Passive coping such as self-blaming,seemed to have increased the risk of NSSI.
ABSTRACT
Objective This study aimed to explore the association of non-suicidal self-injury (NSSI) and the coping styles in college undergraduate students.Methods Cluster sampling techniques was used to recruit freshmen students from two universities in Wuhan.Brief COPE scale was used to measure the coping skills at the baseline study.Non-suicidal self-injury was studied one year later through a follow-up program.Results The incidence of NSSI among college students was 2.3％.Students who reported NSSI had higher scores on Self-Blame dimension than those who did not.Results from the multivariate analysis showed that factors as:self-blame coping (OR=-1.30,95％ CI:1.06-1.59),religion (OR=3.55,95％CI:1.50-8.38) and maternal education level (OR=2.46,95％CI:1.25-4.84) were related to NSSI.Conclusion Coping styles were found to be related to non-suicidal self-injury behavior in undergraduate students.Passive coping such as self-blaming,seemed to have increased the risk of NSSI.