Lawler Leo P, Horton Karen M, Fishman Elliot K
Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, 601 N Caroline St, Rm 3254, Baltimore, MD 21287-0801, USA.
Radiographics. 2003 Sep-Oct;23(5):1117-31. doi: 10.1148/rg.235035013.
A number of entities can simulate pancreatic disease at computed tomography (CT), which may lead to misdiagnosis. Common pitfalls include peripancreatic lesions of the foregut, adrenal gland, and kidney as well as disease of the mesentery and neurovascular structures. Optimal design and application of multi-detector row CT protocols with multiplanar reformation and maximum-intensity-projection and volume-rendering postprocessing improves the specificity of image interpretation. In most cases, helical CT is highly accurate for distinguishing primary disease of the pancreas from adjacent disease, although there are cases in which the differential diagnosis is more challenging and the potential for misdiagnosis still exists. Familiarity with some of the entities that can simulate pancreatic disease, careful attention to scanning protocol and contrast material administration, use of the full potential of multi-detector row CT data sets, and judicious application of postprocessing tools may help avoid some of the pitfalls caused by peripancreatic lesions.
许多病变在计算机断层扫描(CT)上可模拟胰腺疾病,这可能导致误诊。常见的陷阱包括前肠、肾上腺和肾脏的胰腺周围病变以及肠系膜和神经血管结构的疾病。采用多平面重建、最大密度投影和容积再现后处理的多排探测器CT协议的优化设计和应用提高了图像解读的特异性。在大多数情况下,螺旋CT对于区分胰腺原发性疾病和相邻疾病高度准确,尽管在某些情况下鉴别诊断更具挑战性且误诊的可能性仍然存在。熟悉一些可模拟胰腺疾病的病变、仔细注意扫描协议和对比剂给药、充分利用多排探测器CT数据集的潜力以及明智地应用后处理工具可能有助于避免一些由胰腺周围病变引起的陷阱。