Histopathology imaging and clinical data including remission status in pediatric inflammatory bowel disease.

Autor: Martin-King C; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA. chloe.martin.king@choc.org., Nael A; Department of Pathology, CHOC, Orange, CA, USA.; Department of Pathology, University of California-Irvine (UCI) Medical Center, Orange, CA, USA., Ehwerhemuepha L; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA.; Schmid College of Science and Technology, Chapman University, Orange, CA, USA.; Department of Statistics, UCI Donald Bren School of Information and Computer Sciences, Irvine, CA, USA., Calvo B; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA.; Schmid College of Science and Technology, Chapman University, Orange, CA, USA., Gates Q; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA.; Schmid College of Science and Technology, Chapman University, Orange, CA, USA., Janchoi J; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA., Ornelas E; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA., Perez M; Department of Gastroenterology and Nutrition, CHOC, Orange, CA, USA., Venderby A; Research Institute, Children's Health Orange County (CHOC), Orange, CA, USA.; Schmid College of Science and Technology, Chapman University, Orange, CA, USA., Miklavcic J; Schmid College of Science and Technology, Chapman University, Orange, CA, USA.; School of Pharmacy, Chapman University, Irvine, CA, USA., Chang P; Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), UCI, Irvine, CA, USA.; Department of Radiological Sciences, UCI School of Medicine, Orange, CA, USA.; Department of Computer Science, UCI Donald Bren School of Information and Computer Sciences, Irvine, CA, USA., Sassoon A; Department of Pathology, CHOC, Orange, CA, USA., Grant K; Department of Gastroenterology and Nutrition, CHOC, Orange, CA, USA.; Department of Pediatrics, UCI School of Medicine, Orange, CA, USA.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Jul 11; Vol. 11 (1), pp. 761. Date of Electronic Publication: 2024 Jul 11.
DOI: 10.1038/s41597-024-03592-7
Abstrakt: The incidence of inflammatory bowel disease (IBD) is increasing annually. Children with IBD often suffer significant morbidity due to physical and emotional effects of the disease and treatment. Corticosteroids, often a component of therapy, carry undesirable side effects with long term use. Steroid-free remission has become a standard for care-quality improvement. Anticipating therapeutic outcomes is difficult, with treatments often leveraged in a trial-and-error fashion. Artificial intelligence (AI) has demonstrated success in medical imaging classification tasks. Predicting patients who will attain remission will help inform treatment decisions. The provided dataset comprises 951 tissue section scans (167 whole-slides) obtained from 18 pediatric IBD patients. Patient level structured data include IBD diagnosis, 12- and 52-week steroid use and name, and remission status. Each slide is labelled with biopsy site and normal or abnormal classification per the surgical pathology report. Each tissue section scan from an abnormal slide is further classified by an experienced pathologist. Researchers utilizing this dataset may select from the provided outcomes or add labels and annotations from their own institutions.
(© 2024. The Author(s).)
Databáze: MEDLINE
Externí odkaz: