ABSTRACT
@#Esophageal cancer is an aggressive malignancy with high morbidity and poor prognosis. Symptoms of early esophageal cancer are insidious and difficult to detect, while advanced esophageal obstruction, lesion infiltration and metastasis seriously affect patients’ quality of life. Early detection and treatment can help to increase the survival chance of patients. Recently, artificial intelligence (AI) has shown remarkable success in diagnosis of esophageal cancer, highlighting the great potential of new AI-assisted diagnostic modalities. This paper aims to review recent progress of AI in the diagnosis of esophageal cancer and to prospect its clinical application.
ABSTRACT
To investigate the effectiveness and safety of diverticular peroral endoscopic myotomy (D-POEM) for mid-esophageal diverticulum. Data of consecutive patients in the prospective database with mid-esophageal diverticulum who received D-POEM in West China Hospital, Sichuan University between April 2014 to September 2019 were collected. The modified Eckardt scoring system for mid-esophageal diverticulum was used to evaluate the severity of diverticular symptoms. The effectiveness and safety of D-POEM were evaluated in terms of clinical success, technical success, complications and recurrence. A total of 7 patients with mid-esophageal diverticulum were included. Clinical and technical success was achieved in all patients with operation time of 16-70 minutes. No serious complications (2 cases with minor complications) or recurrence occurred. The follow-up time was 2-16 months. The median modified Eckardt score decreased from 3 points before operation to 0 points after operation. It is preliminarily believed that D-POEM ensures a complete septotomy between normal esophageal lumen and esophageal diverticulum. It is a safe and effective technique for mid-esophageal diverticulum. The modified Eckardt scoring system is suitable for symptom evaluation before and after treatment of mid-esophageal diverticulum.