Machine Vs Man For Cancer Detection In Barrett's Esophagus - Diana Swift
A deep-learning computer-aided detection system identified neoplasia with high accuracy and near-perfect delineation performance in Barrett's esophagus (BE), achieving greater accuracy in primary detection than non-specialized endoscopists, an international study found. According to Satish Nagula, MD, associate professor of medicine and gastroenterology at the Icahn School of Medicine at Mount Sinai, about five percent to ten percent of patients with longstanding acid reflux develop BE, and approximately two percent to five percent of these will ultimately develop esophageal cancer. He added, “Our current strategies for BE involve regular surveillance, usually a routine upper endoscopy every three to five years in patients with a known diagnosis of BE. The challenge in BE is identifying these precancerous areas during endoscopy.”
— Satish Nagula, MD, Associate Professor, Medicine, Gastroenterology, Icahn School of Medicine at Mount Sinai, Director, Endoscopic Ultrasound, Mount Sinai Health System