Objective: To build an automatic bone age assessment system based on China 05 Bone Age Standard and the latest deep learning technology, and preliminary clinical verification was carried out. Methods: The left-hand radiographs of 5 000 children with suspected metabolic disorders were acquired from Wuxi Children′s Hospital. Among these cases, 2 351 patients were randomly chosen as training set, and 101 patients were randomly used as validation set. Four professional pediatric radiologists annotated the development stage according to the China 05 RUS-CHN standard with double-blind method. The mean value of the bone age assessed by experts was the reference standard which was used to train and validate the deep learning mothods based artificial intelligence (AI) model. Accuracy, mean absolute error (MAE), root mean squared error (RMSE) and time efficiency of bone age assessment were compared by using Chi-square test and t test and F test between resident doctors and AI model in the validation set. Results: The MAE and RMSE was (0.37±0.35) years and 0.50 years between AI model and reference standard, respeactively. When the error range was within ±1.0, ±0.7 and ±0.5 years, the accuracy of model on the validation set was 94.1% (95/101), 89.1% (90/101), 74.3% (75/101) respectively. The accuracy between two resident doctors and AI prediction wasn′t statistical significant (P>0.05). Conclusion The AI model of bone age assessment based on deep learning is feasible and has the characteristics of high accuracy and efficiency.

The guidelines for the early management of patients with ischemic stroke from the American Heart Association/American Stroke Association in 2013 recommend antiplatelet therapy with aspirin alone,but did not recommend other antiplatelet agents and the combination of a variety of antiplatelet drugs.However,since 2013,a great deal of published literature has shown that dual antiplatelet agents are superior to single antiplatelet agent in the prevention and treatment of ischemic stroke and transient ischemic attack.In addition,they evaluated the safety of the treatment of dual antiplatelet therapy.

Objective To investigate the safety and efficacy of radical nephrectomy plus inferior vena cava thrombectomy,and to evaluate the efficacy of preoperative temporary inferior vena cava filter placement and intraoperative application of liver transplantation techniques to reveal the inferior vena cava in order to avoid tumor thrombosis shedding and embolism.Methods The data of 42 cases (January 2004 to December 2010) of renal cell carcinoma with subdiaphragmatic thrombus were analyzed retrospectively.All these patients underwent radical nephrectomy plus inferior vena cava thrombectomy.Patients were implanted temporary inferior vena cava filter as preoperative routine.Patients with the tumor thrombi behind the liver were applied liver transplant techniques to free and turn liver to the left in order to reveal inferior vena cava,block blood flow according to priority and then finish the inferior vena cava thrombectomy.The filter was removed postoperatively on the same day,and the patients were followed up as routine.Results The operation of the 42 cases was successful without symptomatic tumor thrombus embolism perioperatively,while 1 case died of severe postoperative lung infection.The average operation time was 220 min (130-320 min),blood loss was 750 ml (200-2500 ml),and 12 cases had blood transfusion with an average of 800 ml (400-2000 ml).Forty-one cases were followed up with an average period of 36 months (6-60 months).Among the 37 cases without preoperative tumor metastasis,15 cases had metastases and 22 cases had disease-free survival.Conclusions Nephrectomy and inferior vena cava thrombectomy could be safe and effective for renal cell carcinoma with subdiaphragmatic thrombosis.Preoperative temporary inferior vena cava filter placement and intraoperative application of liver transplantation techniques to reveal the inferior vena cava can be effective to prevent tumor thrombosis shedding and embolism and improve surgical safety.