Department of Radiology, University of Texas Southwestern Medical Center at Dallas, USA.
AJNR Am J Neuroradiol. 2011 Mar;32(3):490-4. doi: 10.3174/ajnr.A2310. Epub 2010 Dec 23.
Although suspected corpus callosum abnormality is a common indication for fetal MR imaging, biometric data specific to MR imaging are sparse. We sought to characterize growth in corpus callosum length by EGA with fetal MR imaging. Corpus callosum segments were assessed and overall corpus callosum length was measured and plotted against the EGA for 68 anatomically normal fetal brains ranging in EGA from 18.5 to 37.7 weeks, and linear and polynomial regression models were calculated. The body of the corpus callosum was identified in all fetuses, followed in frequency by the splenium (91.2%), genu (85.3%), and rostrum (32.4%). Measurements of corpus callosum length by MR imaging were in agreement with values established by sonography. A second-degree polynomial function was the best fit for callosal length by EGA. Understanding this normal growth pattern may enhance detection of subtle growth abnormalities.
尽管疑似胼胝体异常是胎儿磁共振成像的常见指征,但针对磁共振成像的具体生物测量数据却很少。我们试图通过胎儿磁共振成像来描述胼胝体长度的生长情况。对 68 例解剖正常的胎儿大脑进行评估,这些胎儿的胎龄从 18.5 周到 37.7 周不等,对胼胝体各节段进行了评估,并测量了胼胝体的总长度,将其与胎龄相对照,同时计算了线性和多项式回归模型。所有胎儿均能识别胼胝体的体部,随后依次为压部(91.2%)、膝部(85.3%)和嘴部(32.4%)。磁共振成像测量的胼胝体长度与超声检查确定的值一致。二次多项式函数是与胎龄相关性最好的胼胝体长度拟合函数。了解这种正常的生长模式可能有助于检测细微的生长异常。