Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism

被引:174
作者
Brown, Richard K. J. [1 ]
Bohnen, Nicolaas I. [1 ,2 ]
Wong, Ka Kit [1 ,3 ]
Minoshima, Satoshi [4 ]
Frey, Kirk A. [1 ]
机构
[1] Univ Michigan, Dept Nucl Med Radiol, Ann Arbor, MI 48109 USA
[2] VA Ann Arbor Healthcare Syst, Neurol Serv & Geriatr Res, Educ & Clin Ctr GRECC, Ann Arbor, MI USA
[3] VA Ann Arbor Healthcare Syst, Dept Nucl Med, Ann Arbor, MI USA
[4] Univ Washington, Dept Radiol, Seattle, WA 98195 USA
关键词
POSITRON-EMISSION-TOMOGRAPHY; CEREBRAL GLUCOSE-METABOLISM; MILD COGNITIVE IMPAIRMENT; ONSET ALZHEIMERS-DISEASE; LEWY BODIES; FRONTOTEMPORAL DEMENTIA; VASCULAR DEMENTIA; F-18-FDG PET; BLOOD-FLOW; PARKINSONS-DISEASE;
D O I
10.1148/rg.343135065
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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
引用
收藏
页码:684 / 701
页数:18
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