Optimal therapy for early carcinoma of the gastroesophageal junction remains uncertain. Treat- ment alternatives discussed today reach from endoluminal techniques to radical esophagectomy with 2- or 3-?eld lymphadenec...Optimal therapy for early carcinoma of the gastroesophageal junction remains uncertain. Treat- ment alternatives discussed today reach from endoluminal techniques to radical esophagectomy with 2- or 3-?eld lymphadenectomy. In this context, the Merendino procedure with preservation of the vagal innerva- tion to the stomach appears as an interesting therapeutic alternative. This paper summarizes indications, operative technique, and functional results with respect to postoperative quality of life, based upon 2 cases operated in our department.展开更多
Due to the rapid progression and poor prognosis of esophageal cancer(EC),the early detection and diagnosis of early EC are of great value for the prognosis improvement of patients.However,the endoscopic detection of e...Due to the rapid progression and poor prognosis of esophageal cancer(EC),the early detection and diagnosis of early EC are of great value for the prognosis improvement of patients.However,the endoscopic detection of early EC,especially Barrett's dysplasia or squamous epithelial dysplasia,is difficult.Therefore,the requirement for more efficient methods of detection and characterization of early EC has led to intensive research in the field of artificial intelligence(AI).Deep learning(DL)has brought about breakthroughs in processing images,videos,and other aspects,whereas convolutional neural networks(CNNs)have shone lights on detection of endoscopic images and videos.Many studies on CNNs in endoscopic analysis of early EC demonstrate excellent performance including sensitivity and specificity and progress gradually from in vitro image analysis for classification to real-time detection of early esophageal neoplasia.When AI technique comes to the pathological diagnosis,borderline lesions that are difficult to determine may become easier than before.In gene diagnosis,due to the lack of tissue specificity of gene diagnostic markers,they can only be used as supplementary measures at present.In predicting the risk of cancer,there is still a lack of prospective clinical research to confirm the accuracy of the risk stratification model.展开更多
文摘Optimal therapy for early carcinoma of the gastroesophageal junction remains uncertain. Treat- ment alternatives discussed today reach from endoluminal techniques to radical esophagectomy with 2- or 3-?eld lymphadenectomy. In this context, the Merendino procedure with preservation of the vagal innerva- tion to the stomach appears as an interesting therapeutic alternative. This paper summarizes indications, operative technique, and functional results with respect to postoperative quality of life, based upon 2 cases operated in our department.
基金Key Research and Development Program of Science and Technology Department of Sichuan Province,No.2018GZ0088Science&Technology Bureau of Chengdu,China,No.2017-CY02-00023-GX.
文摘Due to the rapid progression and poor prognosis of esophageal cancer(EC),the early detection and diagnosis of early EC are of great value for the prognosis improvement of patients.However,the endoscopic detection of early EC,especially Barrett's dysplasia or squamous epithelial dysplasia,is difficult.Therefore,the requirement for more efficient methods of detection and characterization of early EC has led to intensive research in the field of artificial intelligence(AI).Deep learning(DL)has brought about breakthroughs in processing images,videos,and other aspects,whereas convolutional neural networks(CNNs)have shone lights on detection of endoscopic images and videos.Many studies on CNNs in endoscopic analysis of early EC demonstrate excellent performance including sensitivity and specificity and progress gradually from in vitro image analysis for classification to real-time detection of early esophageal neoplasia.When AI technique comes to the pathological diagnosis,borderline lesions that are difficult to determine may become easier than before.In gene diagnosis,due to the lack of tissue specificity of gene diagnostic markers,they can only be used as supplementary measures at present.In predicting the risk of cancer,there is still a lack of prospective clinical research to confirm the accuracy of the risk stratification model.
