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目的通过高场MRI检测不同胎龄新生儿出生时胼胝体的面积、偏心率及斜率,为早期评价和改善脑发育提供参考。方法从沧州市人民医院提取符合研究条件的新生儿头颅高场MRI图像286例,勾画胼胝体后使用MATLAB R2010a中的图像处理函数进行测量,得到胼胝体面积、偏心率及斜率并作统计学分析。结果胼胝体面积与胎龄的相关系数为0.61(P<0.001),最适曲线为二次曲线Y=0.132X2-6.179X+141.759,决定系数为0.37(P<0.001);偏心率与胎龄的相关系数为0.25(P<0.001),最适曲线为直线方程Y=0.009X+0.319,决定系数为0.07(P<0.001);后部斜率与胎龄的相关系数为0.27(P<0.001),最适曲线为直线方程Y=0.005X+0.349,决定系数为0.07(P<0.001)。结论新生儿胎龄愈小,胼胝体愈小且愈圆。
Objective To detect the area, eccentricity and slope of corpus callosum at birth of newborns with different gestational age by high field MRI and provide reference for early evaluation and improvement of brain development. Methods From the Cangzhou People ’s Hospital, 286 cases of neonatal head MRI images were extracted from the study. After the corpus callosum was delineated, the image processing functions in MATLAB R2010a were used to measure the area, eccentricity and slope of the corpus callosum for statistical analysis. Results The correlation coefficient of corpus callosum area and gestational age was 0.61 (P <0.001), the best curve was quadratic curve Y = 0.132X2-6.179X + 141.759, the coefficient of determination was 0.37 (P <0.001) The correlation coefficient was 0.25 (P <0.001), and the optimal curve was linear equation Y = 0.009X + 0.319 with a coefficient of determination of 0.07 (P <0.001). The correlation coefficient between the posterior slope and gestational age was 0.27 (P <0.001) The optimal curve for the linear equation Y = 0.005X + 0.349, the determination coefficient of 0.07 (P <0.001). Conclusion The smaller the gestational age, the smaller and more rounded the corpus callosum.