Background: Change detection is a critical component in the diagnosis and monitoring of many slowly evolving pathologies.
Objective: This article describes a semiautomatic monitoring approach using longitudinal medical images. We test the method on brain scans of patients with meningioma, which experts have found difficult to monitor because the tumor evolution is very slow and may be obscured by artifacts related to image acquisition.
Background: Internal hernia (IH) is a well known complication of Roux-en-Y gastric bypass (RYGBP) which is more frequently encountered when the RYGBP is done laparoscopically.
Methods: Patients with IH were identified from a prospective data-base of morbidly obese patients undergoing bariatric surgery at our center.
Results: 10 patients with IH were identified out of 625 patients undergoing LRYGBP from 1998 to 2006 (incidence 1.