Objective To discuss the indication,the prevention and treatment of complications of the esophagectomy through cervico-right thoracic-abdominal triple incision.Methods 420 cases of esophageal carcinoma were analyzed retrospectively.Results The success rate of this procedure was 99.81%,and 5 cases died postoperatively,the morality was 1.19%.Lymph node metastases were presenting in 188 cases.The gross rate of the lymph node metastasis was 44.76%,the rate of the lymph node metastasis in neck,chest and abdomen were 4.76%,41.90% and 20.95%.The occurrence rate of the anastomose leakage was 3.80%.326 cases were followed up(90.95%).The overall 3-,5- years survival rate were 61.85%(193/312 cases) and 34.72%(75/216 cases).Conclusion The advantages of this approach are relatively radical resection,less severe complications.

How to extract high discriminative features that help classification from complex resting-state fMRI (rs-fMRI) data is the key to improving the accuracy of brain disease recognition such as schizophrenia. In this work, we use a weighted sparse model for brain network construction, and utilize the Kendall correlation coefficient (KCC) to extract the discriminative connectivity features for schizophrenia classification, which is conducted with the linear support vector machine. Experimental results based on the rs-fMRI of 57 schizophrenia patients and 64 healthy controls show that our proposed method is more effective ( ., achieving a significantly higher classification accuracy, 81.82%) than other competing methods. Specifically, compared with the traditional network construction methods (Pearson's correlation and sparse representation) and the commonly used feature selection methods (two-sample -test and Least absolute shrinkage and selection operator (Lasso)), the algorithm proposed in this paper can more effectively extract the discriminative connectivity features between the schizophrenia patients and the healthy controls, and further improve the classification accuracy. At the same time, the discriminative connectivity features extracted in the work could be used as the potential clinical biomarkers to assist the identification of schizophrenia.
Algorithms ; Brain ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Schizophrenia ; diagnostic imaging

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.