Department of Radiology, Mayo Clinic.
Department of Quantitative Health Sciences, Mayo Clinic.
J Stroke Cerebrovasc Dis. 2022 Aug;31(8):106583. doi: 10.1016/j.jstrokecerebrovasdis.2022.106583. Epub 2022 Jun 8.
To report population-based, age-specific prevalence of infarctions as identified via 3D fluid-attenuated inversion recovery (FLAIR) imaging.
Participants without dementia in the Mayo Clinic Study of Aging (MCSA), a population-based study in Olmsted County, MN, age 50-89 who underwent 3D FLAIR imaging between 2017 and 2020 were included. Infarctions per participant were determined via visual interpretation. Inter- and intra-reader reliability were calculated. Infarction prevalence on 3D FLAIR was derived by standardization to the Olmsted County population and was compared to that previously reported on 2D FLAIR imaging.
Among 580 participants (mean age 71 years, 46% female) the prevalence (95% confidence interval) of any infarction was 5.0% (0.0%-9.9%) at age 50-59 years and 38.8% (28.6%-49.0%) at 80-89 years. In addition to increasing with age, the prevalence varied by sex and type of infarction. Prevalence estimates of cortical infarcts were 0.9% (0.0%-2.7%) at age 50-59 years and 20.2% (10.7%-29.7%) at 80-89 years and lacunar infarcts 4.1% (0.0%-8.8%) at age 50-59 years and 31.2% (21.5%-41.0%) at 80-89 years. Prevalence estimates of any infarction by sex were: men, 8.7% (0.0%-18.7%) at 50-59 years and 54.9% (41.0%-68.8%) at 80-89 years and women, 2.4% (0.0%-7.3%) at age 50-59 years and 27.3% (12.9%-41.7%) at 80-89 years. Intra- and inter- reader reliability were very good (kappa = 0.85 and 0.82, respectively). After adjusting for age, sex and education, individuals imaged with 3D FLAIR were 1.5 times (95% CI 1.2-1.8, p<0.001) more likely to be identified as positive for infarction compared to those imaged with 2D FLAIR.
Infarction prevalence increases with age and is greater in men than women. Infarction prevalence on 3D FLAIR imaging, which has become more widely implemented as an alternative to 2D FLAIR over the past several years, will be a useful reference in future work.
报告通过三维液体衰减反转恢复（FLAIR）成像识别的脑梗死的基于人群、年龄特异性患病率。
纳入 2017 年至 2020 年间在明尼苏达州奥姆斯特德县进行了三维 FLAIR 成像且无痴呆的梅奥诊所老龄化研究（MCSA）参与者，年龄在 50-89 岁，50-59 岁年龄组的任何脑梗死患病率（95%置信区间）为 0.9%（0.0%-2.7%），80-89 岁年龄组为 20.2%（10.7%-29.7%）。除了随年龄增长而增加外，患病率还因性别和梗死类型而异。皮质梗死的患病率估计值在 50-59 岁年龄组为 4.1%（0.0%-8.8%），在 80-89 岁年龄组为 31.2%（21.5%-41.0%）。男性 50-59 岁年龄组的任何脑梗死患病率为 8.7%（0.0%-18.7%），80-89 岁年龄组为 54.9%（41.0%-68.8%），女性 50-59 岁年龄组为 2.4%（0.0%-7.3%），80-89 岁年龄组为 27.3%（12.9%-41.7%）。男性和女性的脑梗死患病率分别为：男性 50-59 岁年龄组为 2.4%（0.0%-7.3%），80-89 岁年龄组为 27.3%（12.9%-41.7%）。
在纳入的 580 名参与者中（平均年龄 71 岁，46%为女性），任何脑梗死的患病率（95%可信区间）为 5.0%（0.0%-9.9%）。3D FLAIR 成像的脑梗死患病率为 8.7%（0.0%-18.7%），80-89 岁年龄组为 54.9%（41.0%-68.8%）。皮质梗死的患病率估计值在 50-59 岁年龄组为 0.9%（0.0%-2.7%），在 80-89 岁年龄组为 20.2%（10.7%-29.7%）。参与者中，任何脑梗死的患病率为 5.0%（0.0%-9.9%），80-89 岁年龄组为 38.8%（28.6%-49.0%）。除了随年龄增长而增加外，患病率还因性别和梗死类型而异。
脑梗死的患病率随年龄增长而增加，男性多于女性。3D FLAIR 成像的脑梗死患病率在过去几年中已成为二维 FLAIR 的替代方法，其应用越来越广泛，这将成为未来研究的有用参考。
