The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.
The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China; Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou 730000, China.
Eur J Radiol. 2023 Nov;168:111090. doi: 10.1016/j.ejrad.2023.111090. Epub 2023 Sep 7.
Pancreatic diseases are difficult to diagnose due to their insidious onset and complex pathophysiological developmental characteristics. In recent years, dual-energy computed tomography (DECT) imaging technology has rapidly advanced. DECT can quantitatively extract and analyze medical imaging features and establish a correlation between these features and clinical results. This feature enables the adoption of more modern and accurate clinical diagnosis and treatment strategies for patients with pancreatic diseases so as to achieve the goal of non-invasive, low-cost, and personalized treatment. The purpose of this review is to elaborate on the application of DECT for the diagnosis, biological characterization, and prediction of the survival of patients with pancreatic diseases (including pancreatitis, pancreatic cancer, pancreatic cystic tumor, pancreatic neuroendocrine tumor, and pancreatic injury) and to summarize its current limitations and future research prospects.
胰腺疾病起病隐匿，病理生理发育特点复杂，诊断困难。近年来，双能量计算机断层扫描（DECT）成像技术迅速发展。DECT 可以定量提取和分析医学成像特征，并建立这些特征与临床结果之间的相关性。这一特征使我们能够为胰腺疾病患者采用更现代和准确的临床诊断和治疗策略，以实现非侵入性、低成本和个性化治疗的目标。本综述的目的是详细阐述 DECT 在胰腺疾病（包括胰腺炎、胰腺癌、胰腺囊性肿瘤、胰腺神经内分泌肿瘤和胰腺损伤）的诊断、生物学特征分析和患者生存预测中的应用，并总结其目前的局限性和未来的研究前景。
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