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Objective:To explore the application value of artificial intelligence-assisted diagnosis model based on convolutional neural network (CNN) in the differential diagnosis of benign and malignant breast masses.Methods:A total of 10 490 images of 2 098 patients with breast lumps (including 1 132 cases of benign tumor, 779 cases of malignant tumor, 32 cases of inflammation, 155 cases of adenosis) were collected from January 2016 to January 2018 in Beijing Tiantan Hospital Affiliated to the Capital University of Medical Sciences. They were divided into training set and test set and the auxiliary artificial intelligence diagnosis model was used for training and testing. Two sets of data training models were compared by two-dimensional imaging (2D) and two-dimensional and color Doppler flow imaging (2D-CDFI). The ROC curves of benign breast tumors, malignant tumors, inflammation and adenopathy were analyzed, and the area under the ROC curve (AUC) were calculated.Results:The accuracies of 2D-CDFI ultrasonic model for training group and testing group were significantly improved. ①For benign tumors, the result from training set with 2D image was: sensitivity 92%, specificity 95%, AUC 0.93; the result from training set with 2D-CDFI images was: sensitivity 93%, specificity 95%, AUC 0.93; the result for test set with 2D images was: sensitivity 91%, specificity 96%, AUC 0.94; the result for test set with 2D-CDFI images was: sensitivity 93%, specificity: 94%, AUC 0.94. ② For malignancies, the result for training set with 2D images was: sensitivity 93%, specificity 97%, AUC 0.94; the result for training set with 2D-CDFI images was: sensitivity 93%, specificity 96%, AUC 0.94; the result for test set with 2D images was: sensitivity 93%, specificity 96%, AUC 0.94; the result for test set with 2D-CDFI images was: sensitivity 93%, specificity 96%, AUC 0.94. ③For inflammation, the result for training set with 2D images was: sensitivity 81%, specificity 99%, AUC 0.91; the result for training set with 2D-CDFI images was: sensitivity 86%, specificity 99%, AUC 0.89; the result for test set with 2D images was: sensitivity 100%, specificity 98%, AUC 0.98; the result for test set with 2D-CDFI images was: sensitivity 100%, specificity 99%, AUC 0.96. ④For adenopathy, the result for training set with 2D images was: sensitivity 88%, specificity 97%, AUC 0.94; the result for training set with 2D-CDFI images was: sensitivity 93%, specificity 98%, AUC 0.94; the result for test set with 2D images was: sensitivity 94%, specificity 98%, AUC 0.93; the result for test set with 2D-CDFI images was: sensitivity 88%, specificity 99%, AUC 0.90. Its diastolic accuracy was not affected even if the maximum diameter of the tumor was less than 1 cm.Conclusions:Through the deep learning of artificial intelligence based on CNN for breast masses, it can be more finely classified and the diagnosis rate can be improved. It has potential guiding value for the treatment of breast cancer patients.
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Objective To explore the use of Diagnosis Related Groups(DRGs)evaluation index in performance management system of hospitals.Methods The performance evaluation system was built based on medical business volume index,efficiency indicators,cost control indexes,drug control indexes, medical quality and medical safety indexes,by means of extracting the home page of hospital discharge records from 2009 to 2013 and grouping automatically with the“BJ-DRGs”group-maker.Results The operation evaluation indexes of the hospital have seen great progress since advent of the DRGs evaluation indexes.Conclusion Introduction of DRGs has scored great success in the performance appraisal system of the hospital.
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OBJECTIVE To investigate the relation of cyclooxygenase-2 (COX-2) and vascular endothelial growth factor (VEGF) expression with cervical lymph metastases in papillary thyroid carcinoma. METHODS The expression of COX-2 and VEGF in 79 specimens of papillary thyroid carcinoma were evaluated with SP immunohistochemical methods. In all the 79 cases, there were 46 cases with cervical lymph node metastases and 33 cases without cervical lymph node metastasis. RESULTS The positive expression rates of COX-2 and VEGF in the cases with cervical metastases were 81.6 % and 86.8 % respectively, and in the cases without cervical lymph metastases were 54.5 % and 66.7 % respectively. There was a significant difference in the positive expression rates of COX-2 and VEGF between two groups (P