Deep Learning Models for Severity Prediction of Acute Pancreatitis in the Early Phase From Abdominal Nonenhanced Computed Tomography Images.

Zhiyao Chen,Yi Wang,Huiling Zhang,Hongkun Yin,Cheng Hu,Zixing Huang,Qingyuan Tan,Bin Song,Lihui Deng,Qing Xia

Pancreas（2023）

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摘要

The DL technology allows nonenhanced CT images as a novel tool for predicting the severity of AP.

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关键词

acute pancreatitis, deep learning, computed tomography, severity, prediction, AP, MSAP, moderately severe acute pancreatitis, SAP, severe acute pancreatitis, APACHE, Acute Physiology and Chronic Health Evaluation, BISAP, Bedside Index for Severity in Acute Pancreatitis, CRP, C-reactive protein, BUN, blood urea nitrogen, CECT, contrast-enhanced computed tomography, CTSI, CT severity index, MCTSI, modified computed tomography severity index, EPIC, extra-pancreatic inflammation on CT, AUC, area under the receiver operating curve, MOF, multiorgan failure, DL, MAP, mild acute pancreatitis, IQR, interquartile ranges, ROC, receiver operating characteristic, AMY, amylase, WBC, white blood cell, NLR, neutrophil to lymphocyte ratio, GLU, glucose, LDH, lactic dehydrogenase, Cr, creatinine, ALB, albumin

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