Klasson Niklas, Olsson Erik, Eckerström Carl, Malmgren Helge, Wallin Anders
Institute of Psychiatry and Neurochemistry, Department of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, Box 400, 405 30, Gothenburg, Sweden.
Institute of Medicine, Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 400, 405 30, Gothenburg, Sweden.
Insights Imaging. 2018 Feb;9(1):25-34. doi: 10.1007/s13244-017-0583-0. Epub 2018 Jan 26.
The aim of the present study is to determine if the delineation of one or two optimally chosen intracranial areas (ICA) is enough to achieve adequate estimates of intracranial volume (ICV) in magnetic resonance imaging.
The correlations of 62 fully delineated ICVs with four types of ICV estimates were calculated. The estimate types were: (1) a single midsagittal ICA, (2) single ICA multiplied by the intracranial width perpendicular to the ICA, (3) sum of two ICAs multiplied by the perpendicular intracranial width and (4) shape-preserving piecewise cubic interpolation using two ICAs. For methods 2-4, the fully delineated ICVs were randomly separated into an evaluation and a validation set of equal size. Method 1 was validated against all of the fully delineated ICVs.
Estimates from method 1 had a Pearson correlation of 0.904 with fully delineated ICV. For method 2, the correlation was 0.986 when delineating the sagittal ICA at 31% of the sagittal intracranial width. For methods 3 and 4, the correlations were both 0.997 when delineating the sagittal ICAs at 17.5 and 64% and at 12 and 64% respectively.
Delineation of two specific intracranial areas is sufficient for intracranial volume estimation.
• Delineation of two specific intracranial areas is sufficient for intracranial volume estimation. • The estimates had a Pearson correlation of 0.997 with intracranial volume. • The estimation should take no more than 5 min.
本研究旨在确定在磁共振成像中，描绘一个或两个最佳选择的颅内区域（ICA）是否足以获得对颅内体积（ICV）的充分估计。
计算了62个完全描绘的ICV与四种ICV估计类型之间的相关性。估计类型为：（1）单个矢状面ICA，（2）单个ICA乘以垂直于ICA的颅内宽度，（3）两个ICA之和乘以垂直颅内宽度，以及（4）使用两个ICA的保形分段三次插值。对于方法2 - 4，将完全描绘的ICV随机分为大小相等的评估集和验证集。方法1针对所有完全描绘的ICV进行验证。
方法1的估计值与完全描绘的ICV的皮尔逊相关性为0.904。对于方法2，当在矢状颅内宽度的31%处描绘矢状面ICA时，相关性为0.986。对于方法3和4，当分别在17.5%和64%以及12%和64%处描绘矢状面ICA时，相关性均为0.997。
描绘两个特定的颅内区域足以进行颅内体积估计。
• 描绘两个特定的颅内区域足以进行颅内体积估计。• 估计值与颅内体积的皮尔逊相关性为0.997。• 估计过程应不超过5分钟。
