An artificial intelligence-assisted system versus white light endoscopy alone for adenoma detection in individuals with Lynch syndrome (TIMELY): an international, multicentre, randomised controlled trial

Autor: Ortiz, Oswaldo, Daca-Alvarez, Maria, Rivero-Sanchez, Liseth, Gimeno-Garcia, Antonio Z, Carrillo-Palau, Marta, Alvarez, Victoria, Ledo-Rodriguez, Alejandro, Ricciardiello, Luigi, Pierantoni, Chiera, Hüneburg, Robert, Nattermann, Jacob, Bisschops, Raf, Tejpar, Sabine, Huerta, Alain, Riu Pons, Faust, Alvarez-Urturi, Cristina, López-Vicente, Jorge, Repici, Alessandro, Hassan, Cessare, Cid, Lucia, Cavestro, Giulia Martina, Romero-Mascarell, Cristina, Gordillo, Jordi, Puig, Ignasi, Herraiz, Maite, Betes, Maite, Herrero, Jesús, Jover, Rodrigo, Balaguer, Francesc, Pellisé, Maria, Carballal, Sabela, Moreira, Leticia, Torres, Sonia, Kumari, Hardeep, Brunori, Angelo, Sanchez, Ariadna, Ocaña, Teresa, Castillo, Joaquin, Saez-Gordoa, Karmele, Cuatrecasas, Miriam, Rivas, Eva, Vizuete, Maria, Carnicer, Silvia, Cuadrado, Rosa, Puzzono, Marta, Bianchi, Paolo, Laghi, Luigi, Dal Buono, Arianna, Giatti, Valentina, Nicoletti, Rosangela, Marwitz, Tim, Van Beekum, Katrin, Mangas-Sanjuan, Carolina, Martinez-Sempere, Juan, Serrano, Eva, Carretero, Cristina
Zdroj: The Lancet Gastroenterology & Hepatology; September 2024, Vol. 9 Issue: 9 p802-810, 9p
Abstrakt: Computer-aided detection (CADe) systems for colonoscopy have been shown to increase small polyp detection during colonoscopy in the general population. People with Lynch syndrome represent an ideal target population for CADe-assisted colonoscopy because adenomas, the primary cancer precursor lesions, are characterised by their small size and higher likelihood of showing advanced histology. We aimed to evaluate the performance of CADe-assisted colonoscopy in detecting adenomas in individuals with Lynch syndrome.
Databáze: Supplemental Index