Université Jean Monnet Saint Etienne, CHU de Saint Etienne, TAPE Research Unit EA 7423, F-42023, Saint Etienne, France.
École d'Optométrie, Université de Montréal, Montréal, Québec, Canada.
Brain Struct Funct. 2024 May;229(4):1001-1010. doi: 10.1007/s00429-024-02779-3. Epub 2024 Mar 19.
The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects' space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.
垂体(PG)的概率地形和个体间变异性尚未确定。缺乏标准化参考图谱阻碍了 PG 体积研究。本研究旨在为年轻成年女性创建 PG 前、后最大概率图谱。我们使用高分辨率 MRI T1 图像对 26 名健康受试者的垂体前、后部分进行了手动勾画。采用三步程序和成本函数掩蔽方法优化了 PG 的空间归一化。我们生成了概率图谱和最大概率图谱,随后将其重新配准到受试者的空间,并与手动勾画进行比较。手动测量得出垂体总容积为 705±88mm³,前叶和后叶分别为 614±82mm³和 91±20mm³。手动和基于图谱的估计之间的平均相对体积差异为 1.3%。全球垂体图谱的 DICE 指数为 80%(±9%),Jaccard 指数为 67%(±11%)。同样,前叶垂体图谱的这些值分别为 77%(±13%)和 64%(±14%),后叶 PG 图谱的这些值分别为 62%(±21%)和 47%(±17%)。我们观察到手动和基于图谱的方法在全球垂体和前叶体积的体积估计之间存在很大的一致性和显著的相关性。前叶和后叶 PG 的最大概率图谱为基于自动图谱的分割方法和 PG 大数据集的标准化分析奠定了基础。