Publications by authors named "I Zuber-Jerger"
Background And Aims: Deep learning algorithms gained attention for detection (computer-aided detection [CADe]) of biliary tract cancer in digital single-operator cholangioscopy (dSOC). We developed a multimodal convolutional neural network (CNN) for detection (CADe), characterization and discriminating (computer-aided diagnosis [CADx]) between malignant, inflammatory, and normal biliary tissue in raw dSOC videos. In addition, clinical metadata were included in the CNN algorithm to overcome limitations of image-only models.
View Article and Find Full Text PDFArticle Synopsis
- A significant number of COVID-19 patients with severe acute respiratory distress syndrome developed secondary sclerosing cholangitis (SSC) as a liver complication during the pandemic.
- 17 patients were diagnosed and treated for COVID-19 SSC at a medical center between February 2020 and October 2022, with data analyzed to identify risk factors and treatment methods.
- The study found that 2.6% of severe COVID-19 patients developed SSC, with high mortality rates; however, endoscopic treatments showed promise in managing biliary issues and could serve as a bridge to liver transplantation.
Background/aims: Digital single-operator cholangioscopy (dSOC) has revolutionized bile duct visualization. Interventions like electrohydraulic or laser lithotripsy, inspection of suspicious areas, and targeted biopsies have become possible quick and easy. One main indication for dSOC remains the evaluation of indeterminate biliary strictures.
View Article and Find Full Text PDFBackground & Aims: Early detection of neoplastic lesions is essential in patients with long-standing ulcerative colitis but the best technique of colonoscopy still is controversial.
Methods: We performed a prospective multicenter study in patients with long-standing ulcerative colitis. Two colonoscopies were performed in each patient within 3 weeks to 3 months.