Literature DB >> 31856079

Extrapancreatic Inflammation on Magnetic Resonance Imaging for the Early Prediction of Acute Pancreatitis Severity.

Ting Zhou1,2, Yong Chen1,2, Jia-Long Wu1,2, Yan Deng1,2, Ju Zhang1,2, Huan Sun1,2, Chuan Lan3, Xiao-Ming Zhang1,2.   

Abstract

OBJECTIVES: This work aimed to study the early predictive value of extrapancreatic inflammation on magnetic resonance imaging (EPIM) for acute pancreatitis (AP) severity.
METHODS: The EPIM score, magnetic resonance severity index, Acute Physiology and Chronic Health Evaluation (APACHE II) score, bedside index of severity in AP, and high-sensitivity C-reactive protein levels were evaluated for 337 AP patients. The extrapancreatic inflammation on computed tomography (EPIC) was also assessed for 86 patients undergoing computed tomography. The predictive values of these scores for severe AP and organ failure were evaluated using receiver operating characteristic curve analyses.
RESULTS: Of the 337 AP patients, 55 (16.3%) had organ failure and 17 (5.0%) had severe AP. The EPIM showed a strong correlation with the EPIC (r = 0.794, P < 0.001) and had a higher correlation with the APACHE II and hospital stay compared with the EPIC. The accuracy of the EPIM in predicting severe AP and organ failure (areas under the curve, 0.844 and 0.817) was consistent with that of the APACHE II and bedside index of severity in AP, and higher than that of the magnetic resonance severity index.
CONCLUSION: The EPIM is more helpful in assessing AP severity than the EPIC and can indicate the occurrence of severe AP and organ failure early.

Entities:  

Year:  2020        PMID: 31856079     DOI: 10.1097/MPA.0000000000001425

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  4 in total

Review 1.  Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review.

Authors:  Gaowu Yan; Gaowen Yan; Hongwei Li; Hongwei Liang; Chen Peng; Anup Bhetuwal; Morgan A McClure; Yongmei Li; Guoqing Yang; Yong Li; Linwei Zhao; Xiaoping Fan
Journal:  Front Med (Lausanne)       Date:  2022-06-23

Review 2.  Potential role of imaging for assessing acute pancreatitis-induced acute kidney injury.

Authors:  Yi Wang; Kaixiang Liu; Xisheng Xie; Bin Song
Journal:  Br J Radiol       Date:  2020-11-27       Impact factor: 3.039

3.  A new logistic regression model for early prediction of severity of acute pancreatitis using magnetic resonance imaging and Acute Physiology and Chronic Health Evaluation II scoring systems.

Authors:  Meng-Yue Tang; Ting Zhou; Lin Ma; Xiao-Hua Huang; Huan Sun; Yan Deng; Si-Yue Wang; Yi-Fan Ji; Bo Xiao; Xiao-Ming Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-09

4.  Computed tomography characteristics of acute pancreatitis based on different etiologies at different onset times: a retrospective cross-sectional study.

Authors:  Juanjuan Du; Ju Zhang; Xinyu Zhang; Rui Jiang; Quanshui Fu; Guoqing Yang; Hui Fan; Mengyue Tang; Tianwu Chen; Xinghui Li; Xiaoming Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-09
  4 in total

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