Since the performance appraisal of national tertiary public hospitals was carried out, higher requirements have been put forward for the operation and management of hospitals. Under the premise of ensuring the quality of medical service and medical safety, how to save hospital operating costs and improve the efficiency is an urgent problem for hospital managers. Supported by information upgrading, a tertiary hospital in Guangzhou reformed the treatment process and carried out pre-hospitalization in surgical departments. Data showed that pre-hospitalization can significantly shorten the length of stay, reduce hospitalization costs, and improve the operation efficiency of the hospital.

Objective:To investigate the clinic value of ultrasound 3-dimensional shear wave elastography (3D-SWE) in therapeutic effect evaluation of neoadjuvant chemotherapy (NAC) for HER-2 positive breast cancer patients.Methods:A total of 43 lesions from 43 HER-2 positive breast cancer patients were selected and all of the lesions were confirmed by biopsy. Ultrasound examination was performed routinely before each chemotherapy cycle. The interested regions were selected under the 3-dimensional (3D) elasticity and gray-scale mode, the relevant data such as shear waves in the transverse, longitudinal and coronal sections of the mass were generated automatically. According to the histopathological results, the patients were divided into the pathological complete remission (pCR) group and the incomplete remission (non-pCR) group. The maximum elastic hardness value (Emax) and the reduction degree (ΔEmax) of the lesions in the two groups were measured and compared in each cycle of NAC. The accuracy of 3D-SWE technique for predicting the efficacy of NAC was evaluated using indicators such as sensitivity, specificity and area under the receiver operating characteristic (ROC) curve.Results:The clinicopathologic features between pCR group (18 cases) and non-pCR Group (25 cases) were not significantly different ( P>0.05). Compared with pre-chemotherapy, the Emax values of pCR group and non-pCR Group during chemotherapy were declined ( P<0.05). Moreover, the Emax values of pCR group before and after chemotherapy were lower than those of non-pCR group ( P<0.05). At the end of the first cycle of chemotherapy, the predictive specificity, sensitivity and area under the curve (AUC) of pCR group were 72.0%, 83.3% and 0.838 (95% CI=0.680~0.930) respectively when the cutoff value of Emax was 118 kPa. At the end of the second cycle, the predictive specificity, sensitivity and AUC of pCR group were 76.0%, 83.3% and 0.863 (95% CI=0.720~0.940) respectively when the cutoff value of Emax was 87 kPa. At the end of the third cycle, the predictive specificity and sensitivity and the AUC of the pCR group were 88.0%, 77.8% and 0.893 (95% CI=0.760~0.970) when the cutoff value of Emax was 57 kPa. At the end of the fourth cycle of chemotherapy, the predictive specificity, sensitivity and AUC of pCR group were 92.5%, 88.9% and 0.960 (95% CI=0.850~0.990) respectively when the cutoff value of Emax was 30 kPa. After one cycle of NAC, the predictive sensitivity and specificity and AUC of pCR group were 88.0%, 60.0%, and 0.719 (95% CI=0.620~0.890) when the cutoff value of ΔEmax was 16.8%. After two cycles, the predictive sensitivity, specificity and AUC of pCR group were 55.5%, 80.0% and 0.712 (95% CI=0.550~0.840) when the cutoff value of ΔEmax was 34.9%. After three cycles, the predictive sensitivity, specificity and AUC of pCR group were 67.4%, 81.2% and 0.779 (95% CI=0.680~0.930) when the cutoff value of ΔEmax was 55.2%. After four cycles, the predictive sensitivity, specificity and AUC of pCR group was 72.3%, 92.0% and 0.831 (95% CI=0.690~0.930) when the cutoff value of ΔEmax was 75.1%. Conclusion:The Emax and ΔEmax values measured by 3D-SWE technology can predict the curative effect of NAC for breast cancer.

With the increasing integration of artificial intelligence (AI) with other fields, machine learning, one of the major methods in AI, has been extensively applied in dentistry in the stage of diagnosis, therapy and prognosis evaluation. Nowadays, numerous studies have reported the applications of machine learning in orthodontics in two major aspects, including image identification and clinical decision support system. Herein, we reviewed the application progress of machine learning in orthodontics in order to provide new insight for the future precision medicine.

Objective:To investigate the clinic value of ultrasound 3-dimensional shear wave elastography (3D-SWE) in therapeutic effect evaluation of neoadjuvant chemotherapy (NAC) for HER-2 positive breast cancer patients.Methods:A total of 43 lesions from 43 HER-2 positive breast cancer patients were selected and all of the lesions were confirmed by biopsy. Ultrasound examination was performed routinely before each chemotherapy cycle. The interested regions were selected under the 3-dimensional (3D) elasticity and gray-scale mode, the relevant data such as shear waves in the transverse, longitudinal and coronal sections of the mass were generated automatically. According to the histopathological results, the patients were divided into the pathological complete remission (pCR) group and the incomplete remission (non-pCR) group. The maximum elastic hardness value (Emax) and the reduction degree (ΔEmax) of the lesions in the two groups were measured and compared in each cycle of NAC. The accuracy of 3D-SWE technique for predicting the efficacy of NAC was evaluated using indicators such as sensitivity, specificity and area under the receiver operating characteristic (ROC) curve.Results:The clinicopathologic features between pCR group (18 cases) and non-pCR Group (25 cases) were not significantly different ( P>0.05). Compared with pre-chemotherapy, the Emax values of pCR group and non-pCR Group during chemotherapy were declined ( P<0.05). Moreover, the Emax values of pCR group before and after chemotherapy were lower than those of non-pCR group ( P<0.05). At the end of the first cycle of chemotherapy, the predictive specificity, sensitivity and area under the curve (AUC) of pCR group were 72.0%, 83.3% and 0.838 (95% CI=0.680~0.930) respectively when the cutoff value of Emax was 118 kPa. At the end of the second cycle, the predictive specificity, sensitivity and AUC of pCR group were 76.0%, 83.3% and 0.863 (95% CI=0.720~0.940) respectively when the cutoff value of Emax was 87 kPa. At the end of the third cycle, the predictive specificity and sensitivity and the AUC of the pCR group were 88.0%, 77.8% and 0.893 (95% CI=0.760~0.970) when the cutoff value of Emax was 57 kPa. At the end of the fourth cycle of chemotherapy, the predictive specificity, sensitivity and AUC of pCR group were 92.5%, 88.9% and 0.960 (95% CI=0.850~0.990) respectively when the cutoff value of Emax was 30 kPa. After one cycle of NAC, the predictive sensitivity and specificity and AUC of pCR group were 88.0%, 60.0%, and 0.719 (95% CI=0.620~0.890) when the cutoff value of ΔEmax was 16.8%. After two cycles, the predictive sensitivity, specificity and AUC of pCR group were 55.5%, 80.0% and 0.712 (95% CI=0.550~0.840) when the cutoff value of ΔEmax was 34.9%. After three cycles, the predictive sensitivity, specificity and AUC of pCR group were 67.4%, 81.2% and 0.779 (95% CI=0.680~0.930) when the cutoff value of ΔEmax was 55.2%. After four cycles, the predictive sensitivity, specificity and AUC of pCR group was 72.3%, 92.0% and 0.831 (95% CI=0.690~0.930) when the cutoff value of ΔEmax was 75.1%. Conclusion:The Emax and ΔEmax values measured by 3D-SWE technology can predict the curative effect of NAC for breast cancer.

Temporomandibular disorders (TMD) is one of the most common diseases in the orofacial region. The occurrence, development and outcome of TMD are affected by many factors. Among various risk factors, the psychological factors, especially anxiety, depression and somatic symptoms, are getting more and more attention in the etiology, diagnosis and treatment of TMD. Psychological factors are associated with the occurrence of TMD, and the accurate diagnostic criteria is conducive to the assessment of the patient′s psychological state. If necessary, an appropriate psychological treatment according to a patient′s psychological status can effectively improve the effect of clinical treatment. This article, based on domestic and international literatures, reviews the research progress of the correlation between the psychological factors and the etiology, diagnosis and treatment of TMD, in order to provide new ideas for clinicians to diagnose and treat TMD.