Preoperative Evaluation of the Texture of Pituitary Adenoma by MRI-Based Three-Dimensional Reconstruction
- VernacularTitle:MRI影像三维重建在垂体瘤质地的术前评估中的应用
- Author:
Yu ZHANG
1
;
Anhua WU
;
Shuai HAN
;
Wei GAO
;
Gefei GUAN
;
Jiefu YU
Author Information
1. 中国医科大学附属第一医院神经外科
- Keywords:
pituitary adenoma;
magnetic resonance imaging;
tumor texture;
3D reconstruction;
Mimics software;
surgical approach
- From:
Journal of China Medical University
2019;48(3):220-224,229
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the usefulness of three-dimensional reconstruction in the preoperative evaluation of the texture of pituitary tumors. Methods Seventy patients with pituitary tumors admitted to our hospital between January 2015 and July 2018 were enrolled in the study. All patients underwent enhanced MRI scanning before surgery. They were classified into the soft group, medium group, and tough group according to the tumor texture. The patient's clinical data, MRI images, and surgery conditions were collected.The Mimics software was used to reconstruct the three-dimensional models of pituitary adenomas. The volume and surface area of different tumor signal groups were calculated and analyzed. In addition, the relationships between tumor size, tumor resection, and postoperative complications were analyzed. Results The three-dimensionally reconstructed model of the pituitary adenoma had a clear outline and was consistent with the tumor area in the MRI images. The calculated average threshold accurately segmented the images. Grouped by the classification of texture, the differences of the proportions of each part were statistically significant (P ＜ 0.01). According to the ordinal polytomous logistics regression analysis, the proportion of the volume of the higher part positively correlated with the tumor texture (P ＜0.05), and the ratio of the surface area of the medium part to the overall surface area positively correlated with the tumor texture (P ＜ 0.05).Conclusion The use of Mimics software for 3 D reconstruction of preoperative MRI images can accurately predict the tumor texture in pituitary tumors and can provide a basis for the choice of surgical methods.
