Yue N C, Arnold A M, Longstreth W T, Elster A D, Jungreis C A, O'Leary D H, Poirier V C, Bryan R N
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287-2182, USA.
Radiology. 1997 Jan;202(1):33-9. doi: 10.1148/radiology.202.1.8988189.
To determine the distribution of changes in sulcal size, ventricular size, and white matter signal intensity depicted on cranial magnetic resonance (MR) images, with stratification according to age, race, and sex.
Ventricular size, sulcal size, and white matter signal intensity changes were graded on cranial MR images of 3,660 community-living, elderly participants in the Cardiovascular Health Study. A healthier subgroup was also defined. Summary statistics for both groups were generated for age, race, and sex.
Regression models of the entire imaged cohort showed higher grades of all variables with increasing age, and higher ventricular and sulcal grades in men and in nonblack individuals. White matter grade was greater in women and in black individuals. Regression models of the healthier subgroup showed similar associations, except for a lack of association of sulcal and ventricular size with race.
Sulcal width, ventricular size, and white matter signal intensity change with age, sex, and race. Knowledge of these changes is important in appropriate interpretation of MR images of the elderly.
根据年龄、种族和性别进行分层,确定头颅磁共振(MR)图像上脑沟大小、脑室大小和白质信号强度变化的分布情况。
对心血管健康研究中3660名社区居住的老年参与者的头颅MR图像上的脑室大小、脑沟大小和白质信号强度变化进行分级。还定义了一个更健康的亚组。针对年龄、种族和性别生成了两组的汇总统计数据。
整个成像队列的回归模型显示,所有变量的分级随年龄增加而升高,男性和非黑人个体的脑室和脑沟分级更高。女性和黑人个体的白质分级更高。更健康亚组的回归模型显示出类似的关联,但脑沟和脑室大小与种族缺乏关联。
脑沟宽度、脑室大小和白质信号强度随年龄、性别和种族而变化。了解这些变化对于正确解读老年人的MR图像很重要。