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用于预测急性胰腺炎后糖尿病的磁共振成像生物标志物的设计和原理:来自急性胰腺炎中的 1 型糖尿病联盟。

Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium.

机构信息

From the Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN.

Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA.

出版信息

Pancreas. 2022 Jul 1;51(6):586-592. doi: 10.1097/MPA.0000000000002080.

Abstract

This core component of the Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study will examine the hypothesis that advanced magnetic resonance imaging (MRI) techniques can reflect underlying pathophysiologic changes and provide imaging biomarkers that predict diabetes mellitus (DM) after acute pancreatitis (AP). A subset of participants in the DREAM study will enroll and undergo serial MRI examinations using a specific research protocol. The aim of the study is to differentiate at-risk individuals from those who remain euglycemic by identifying parenchymal features after AP. Performing longitudinal MRI will enable us to observe and understand the natural history of post-AP DM. We will compare MRI parameters obtained by interrogating tissue properties in euglycemic, prediabetic, and incident diabetes subjects and correlate them with metabolic, genetic, and immunological phenotypes. Differentiating imaging parameters will be combined to develop a quantitative composite risk score. This composite risk score will potentially have the ability to monitor the risk of DM in clinical practice or trials. We will use artificial intelligence, specifically deep learning, algorithms to optimize the predictive ability of MRI. In addition to the research MRI, the DREAM study will also correlate clinical computed tomography and MRI scans with DM development.

摘要

本研究的核心部分——糖尿病与急性胰腺炎及其机制(DREAM)研究将检验以下假说,即先进的磁共振成像(MRI)技术可以反映潜在的病理生理变化,并提供预测急性胰腺炎(AP)后糖尿病(DM)的影像学生物标志物。DREAM 研究的一部分参与者将按照特定的研究方案入组并接受一系列 MRI 检查。该研究的目的是通过识别 AP 后的实质特征,将处于危险中的个体与保持血糖正常的个体区分开来。进行纵向 MRI 将使我们能够观察和了解 AP 后 DM 的自然史。我们将比较在血糖正常、糖尿病前期和新诊断糖尿病患者中通过检测组织特性获得的 MRI 参数,并将其与代谢、遗传和免疫表型相关联。区分成像参数将被组合起来以开发定量复合风险评分。这种复合风险评分有可能在临床实践或试验中监测 DM 的风险。我们将使用人工智能,特别是深度学习算法来优化 MRI 的预测能力。除了研究性 MRI,DREAM 研究还将把临床 CT 和 MRI 扫描与 DM 的发展联系起来。

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