Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism
Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism
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DOI：
10.1148/rg.343135065
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发表时间：
2014-05-01
期刊：
影响因子：
5.5
通讯作者：
Frey, Kirk A.
中科院分区：
文献类型：
--
作者：
Brown, Richard K. J.;Bohnen, Nicolaas I.;Frey, Kirk A.
痴呆综合征的诊断对临床医生来说可能是具有挑战性的，特别是在疾病的早期阶段。受教育程度较高的患者在通过常规测试方法检测到痴呆症之前，可能会经历认知功能的显著下降。此外，并存的情况(如抑郁症)和某些药物的使用可能会混淆临床评估。临床医生在诊断阿尔茨海默病或其他神经退行性疾病之前需要高度确定，因为这对患者及其家人的影响可能是毁灭性的。此外，准确的诊断很重要，因为新兴的治疗方案根据痴呆症的原因而有所不同。以临床为基础的检测是有用的；然而，结果通常不能使临床医生做出明确的诊断。出于这个原因，成像生物标记物在疑似痴呆症患者的检查中发挥着越来越重要的作用。使用2-[氟-18]氟-2-脱氧-D-葡萄糖的正电子发射断层扫描可以比其他方法更早地检测到神经退行性疾病。对这些研究的准确解释需要识别由痴呆引起的典型代谢模式和图像处理引入的伪影。虽然视觉解释是图像分析的重要组成部分，但计算机辅助诊断软件已被证明可以提高诊断的准确性。(C)RSNA，2014年
The diagnosis of dementia syndromes can be challenging for clinicians, particularly in the early stages of disease. Patients with higher education levels may experience a marked decline in cognitive function before their dementia is detectable with routine testing methods. In addition, comorbid conditions (eg, depression) and the use of certain medications can confound the clinical assessment. Clinicians require a high degree of certainty before making a diagnosis of Alzheimer disease or some other neurodegenerative disorder, since the impact on patients and their families can be devastating. Moreover, accurate diagnosis is important because emerging therapeutic regimens vary depending on the cause of the dementia. Clinically based testing is useful; however, the results usually do not enable the clinician to make a definitive diagnosis. For this reason, imaging biomarkers are playing an increasingly important role in the workup of patients with suspected dementia. Positron emission tomography with 2-[fluorine-18]fluoro-2-deoxy-D-glucose allows detection of neurodegenerative disorders earlier than is otherwise possible. Accurate interpretation of these studies requires recognition of typical metabolic patterns caused by dementias and of artifacts introduced by image processing. Although visual interpretation is a vital component of image analysis, computer-assisted diagnostic software has been shown to increase diagnostic accuracy. (C)RSNA, 2014