Реферат
Objective: To investigate the clinical value of ultrasound-based radiomics model in predicting clinical efficacy of neoadjuvant chemotherapy (NACT) in breast cancer. Methods: Totally 53 breast cancer patients were divided into clinical response group and clinical non-response group according to clinical outcomes of NACT. Clinical data and grayscale ultrasound characteristics were compared between the two groups. Moreover, radiomic features of greyscale ultrasonic images of breast cancers were extracted and selected to build an influential prediction model using Logistic regression. ROC curve was used to evaluate the efficacy of the model for diagnostic clinical response after NACT. Results: Totally 32 patients were enrolled in clinical response group, while 21 in clinical non response group. No significant difference was found in age, menopause ratio, cancer staging and molecular typing (all P>0.05), nor in longest diameter of lesion, echo pattern, calcification, boundary, shadow, shape between the two groups (all P>0.05). Logistic regression model was successfully performed with 6 adapted features, which predicted the clinical response after NACT with an AUC of 0.88 (95% CI [0.78, 0.99]), the sensitivity and specificity was 0.88 and 0.81, respectively. Conclusion: Ultrasound-based radiomics model has certain value in predicting clinical efficacy of NACT in breast cancer.
Реферат
Objective: To develop the mental health knowledge questionnaire in order to know about the awareness of mental health knowledge in non-psychiatric clinicians. Methods: A sample of the 641 non-psychiatric clinicians from 2 tertiary general hospitals, 2 second-class general hospitals, and 1 community hospital were used for item analysis and internal consistency test; 38 cases were selected for the re-test interval of 2 weeks to test the test-retest reliability. And totally 99 psychiatrists finished the survey as controls. The awareness rates between the non-psychiatric and psychliatric clinicians were compared. Results: The questionnaire included 46 items and consis-ted of 6 subscales, involving anxiety, schizophrenia, depression, dyssomnia and psychological counseling, or-ganic brain disorder, and recognition for mental health service situation in general hospital The results of confirma-tory factor analysis showed that the ratio of chi-square and degree of freedom was below 3. The fitting indexes except GFI and AGFI were more than 0.90. The Cronbach's alpha coefficients ranged from 0.73 to 0.89, and test-retest Pearson correlation coefficient of reliabifity ranged from 0.59 to 0.78. Awareness rate was 47.6% in general hospital and 90.9% in psychiatric hospitals. Conclusion: The mental health knowledge questionnaire has good psychometric properties and may be applied in clinical studies.