Acute pancreatitis:A review of diagnosis,severity prediction and prognosis assessment from imaging technology,scoring system and artificial intelligence
作者机构：Intensive Care UnitThe Affiliated Hospital of Putian UniversityPutian 351100Fujian ProvinceChina School of Pharmacy and Medical TechnologyPutian UniversityPutian 351100Fujian ProvinceChina Key Laboratory of Pharmaceutical Analysis and Laboratory MedicinePutian UniversityPutian 351100Fujian ProvinceChina Department of Critical Care MedicineFujian Medical University Union HospitalFuzhou 350001Fujian ProvinceChina School of MechanicalElectrical and Information EngineeringPutian UniversityPutian 351100Fujian ProvinceChina
出 版 物：《世界胃肠病学杂志:英文版》 (World Journal of Gastroenterology)
年 卷 期：2023年第29卷第37期
页 面：5268-5291页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：Fujian Provincial Health Technology Project,No.2020GGA079 Natural Science Foundation of Fujian Province,No.2021J011380 National Natural Science Foundation of China,No.62276146
主 题：Acute pancreatitis Imaging technology Scoring system Artificial intelligence Severity prediction Prognosis assessment
摘 要：Acute pancreatitis(AP)is a potentially life-threatening inflammatory disease of the pancreas,with clinical management determined by the severity of the ***,severity prediction,and prognosis assessment of AP typically involve the use of imaging technologies,such as computed tomography,magnetic resonance imaging,and ultrasound,and scoring systems,including Ranson,Acute Physiology and Chronic Health Evaluation II,and Bedside Index for Severity in AP *** tomography is considered the gold standard imaging modality for AP due to its high sensitivity and specificity,while magnetic resonance imaging and ultrasound can provide additional information on biliary obstruction and vascular *** systems utilize clinical and laboratory parameters to classify AP patients into mild,moderate,or severe categories,guiding treatment decisions,such as intensive care unit admission,early enteral feeding,and antibiotic *** the central role of imaging technologies and scoring systems in AP management,these methods have limitations in terms of accuracy,reproducibility,practicality and *** advancements of artificial intelligence(AI)provide new opportunities to enhance their performance by analyzing vast amounts of clinical and imaging *** algorithms can analyze large amounts of clinical and imaging data,identify scoring system patterns,and predict the clinical course of ***-based models have shown promising results in predicting the severity and mortality of AP,but further validation and standardization are required before widespread clinical *** addition,understanding the correlation between these three technologies will aid in developing new methods that can accurately,sensitively,and specifically be used in the diagnosis,severity prediction,and prognosis assessment of AP through complementary advantages.
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