Longitudinal Assessment Of Enhancing Foci Of Abnormal Signal Intensity In Neurofibromatosis Type 1

AMERICAN JOURNAL OF NEURORADIOLOGY(2021)

引用 1|浏览6
暂无评分
摘要
BACKGROUND AND PURPOSE:Patients with neurofibromatosis 1 are at increased risk of developing brain tumors, and differentiation from contrast-enhancing foci of abnormal signal intensity can be challenging. We aimed to longitudinally characterize rare, enhancing foci of abnormal signal intensity based on location and demographics.MATERIALS AND METHODS:A total of 109 MR imaging datasets from 19 consecutive patients (7 male; mean age, 8.6?years; range, 2.3?16.8 years) with neurofibromatosis 1 and a total of 23 contrast-enhancing parenchymal lesions initially classified as foci of abnormal signal intensity were included. The mean follow-up period was 6.5?years (range, 1?13.8 years). Enhancing foci of abnormal signal intensity were followed up with respect to presence, location, and volume. Linear regression analysis was performed.RESULTS:Location, mean peak volume, and decrease in enhancing volume over time of the 23 lesions were as follows: 10 splenium of the corpus callosum (295?mm(3), 5 decreasing, 3 completely resolving, 2 surgical intervention for change in imaging appearance later confirmed to be gangliocytoma and astrocytoma WHO II), 1 body of the corpus callosum (44?mm(3), decreasing), 2 frontal lobe white matter (32?mm(3), 1 completely resolving), 3 globus pallidus (50?mm(3), all completely resolving), 6 cerebellum (206?mm(3), 3 decreasing, 1 completely resolving), and 1 midbrain (34?mm(3)). On average, splenium lesions began to decrease in size at 12.2?years, posterior fossa lesions at 17.1?years, and other locations at 9.4?years of age.CONCLUSIONS:Albeit very rare, contrast-enhancing lesions in patients with neurofibromatosis 1 may regress over time. Follow-up MR imaging aids in ascertaining regression. The development of atypical features should prompt further evaluation for underlying tumors.
更多
查看译文
关键词
neurofibromatosis type,abnormal signal intensity,enhancing foci
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要