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    叶苗苗, 王震寰, 沈龙山, 李成, 方敏. 大脑枕颞沟形态学分析及投影回归方程[J]. 蚌埠医科大学学报, 2023, 48(1): 45-50. DOI: 10.13898/j.cnki.issn.1000-2200.2023.01.009
    引用本文: 叶苗苗, 王震寰, 沈龙山, 李成, 方敏. 大脑枕颞沟形态学分析及投影回归方程[J]. 蚌埠医科大学学报, 2023, 48(1): 45-50. DOI: 10.13898/j.cnki.issn.1000-2200.2023.01.009
    shu
    YE Miao-miao, WANG Zhen-huan, SHEN Long-shan, LI Cheng, FANG Min. Morphological analysis and establishment of projection regression equation of occipital temporal sulcus[J]. Journal of Bengbu Medical University, 2023, 48(1): 45-50. DOI: 10.13898/j.cnki.issn.1000-2200.2023.01.009
    Citation: YE Miao-miao, WANG Zhen-huan, SHEN Long-shan, LI Cheng, FANG Min. Morphological analysis and establishment of projection regression equation of occipital temporal sulcus[J]. Journal of Bengbu Medical University, 2023, 48(1): 45-50. DOI: 10.13898/j.cnki.issn.1000-2200.2023.01.009
    shu

    大脑枕颞沟形态学分析及投影回归方程

    Morphological analysis and establishment of projection regression equation of occipital temporal sulcus

      摘要
    • 摘要:
      目的构建以AC-PC线为扫描基线的活体大脑薄层MRI图像，研究枕颞沟在横、冠、矢状面的形态学规律及投影回归方程。
      方法选定健康男、女各15名。以AC-PC为基准线，连续扫描MRI T1W1图像，所得横、冠、矢状面MRI成像数据，采用“3D-Cursor”技术观察枕颞沟在横、冠状面位置变化及连续形态学特征。将所测得的数据以横断面Z=0，冠状面X=0，矢状面Y=0，层厚2 mm，以及Y值为所在层面与零层面的层距乘以2 mm层厚为标准，建立笛卡尔三维立体坐标系，绘制枕颞沟内侧缘投影图，并利用SPSS 22.0统计分析出枕颞沟内侧缘的空间拟合曲线平面回归方程。
      结果横断面的枕颞沟与大脑半球边缘平行，呈前后方向走行，后方一直延伸至枕叶，与侧副沟呈平行关系。分为“波浪”型，“()”型，“3”型；冠状面主要分为“1”型，“11”型，“U”型；成功构建大脑枕颞沟在横、冠、矢状面的投影回归方程。枕颞沟在横断面上Y值对X值的曲线回归方程右侧：\mathop Y\limits^ \wedge=-62.76+2.75×X+0.22×X2+3.1×10-3×X3，左侧：\mathop Y\limits^ \wedge=3.84-10.83×X+0.5×X2-6.04×10-3×X3；枕颞沟在冠状面上Z值对X值的曲线回归方程右侧：\mathop Y\limits^ \wedge=7.67-1.54×X-0.09×X2 -1.06×10-3×X3，左侧：\mathop Y\limits^ \wedge=17.99+2.78×X-0.12×X2+1.42×10-3×X3；枕颞沟在矢状面上Z值对Y值的曲线回归方程右侧：\mathop Y\limits^ \wedge=20.75-0.35×X+2.62×10-3X2+5.49×10-5×X3，左侧：\mathop Y\limits^ \wedge=19.64-0.39×X+3.75×10-4X2+3.15×10-5×X3。
      结论利用“3D-Cursor”及“连续追踪”技术识别枕颞沟，其在横、冠面形态各异，为颞叶疾病定位及通过枕颞沟手术入路途径提供解剖学依据。

       

      Abstract:
      ObjectiveTo investigate the thin layer MRI image of living brain with AC-PC line as the baseline, and study the morphology and projection regression equation of occipital temporal sulcus in cross section, coronal and sagittal plane.
      MethodsFifteen healthy male and 15 female were selected.With AC-PC as the baseline, the continuous scanning of MRI T1W1 images were performed to obtain MRI imaging data of cross, coronal and sagittal planes.The changes of occipital temporal sulci in cross and coronal plane, and continuous morphological characteristics were observed using 3D-cursor technology.The cross section Z=0, coronal plane X=0, sagittal plane Y=0, layer thickness for 2 mm, and Y value for the distance between the layer and zero layer multiplied by 2 mm layer thickness were set as the standard, the Cartesian three-dimensional coordinate system was established, the projection diagram of the medial margin of the occipital temporal sulcus was drawn, and the spatial fitting curve plane regression equation of the medial margin of occipital temporal sulcus was analyzed using SPSS 22.0.
      ResultsThe cross section of the occipital temporal sulcus was parallel to the edge of cerebral hemisphere, running forward and backward, extending to the occipital lobe, and parallel to the lateral accessory groove.The cross section was divided into the "wave" type, "()" type and "3" type, and the coronal plane was mainly divided into "1", "11" and "U" types.The projection regression equation of occipital temporal sulcus in cross section, coronal and sagittal plane were successfully constructed.The right and left sides of the cross-sectional Y-X curve regression equation of occipito-temporal sulcus were (\mathop Y\limits^ \wedge=62.76+2.75×X+0.22×X2+3.1×10-3×X3) and (\mathop Y\limits^ \wedge=3.84-10.83×X+0.5×X2-6.04×10-3×X3), respectively.The right and left sides of the coronal plane Z-X curve regression equation of occipito-temporal sulcus were (\mathop Y\limits^ \wedge= 7.67-1.54×X-0.09×X2 -1.06×10-3×X3) and (\mathop Y\limits^ \wedge=17.99+2.78×X-0.12×X2+1.42×10-3×X3), respectively.The right and left sides of the sagittal plane Z-Y curve regression equation of occipito-temporal sulcus were (\mathop Y\limits^ \wedge=20.75-0.35×X+2.62×10-3×X2+5.49×10-5×X3) and (\mathop Y\limits^ \wedge= 19.64-0.39×X+3.75×10-4×X2+3.15×10-5×X3), respectively.
      ConclusionsThe occipital temporal sulcus can be identified using 3D-Cursor and continuous tracking technology, has different shapes in the transverse and coronal planes, and can provide the anatomic basis for the location of temporal lobe diseases and approach of occipital temporal sulcus surgery.

       

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