首页> 中文期刊> 《中国医科大学学报》 >MRI影像三维重建在垂体瘤质地的术前评估中的应用

MRI影像三维重建在垂体瘤质地的术前评估中的应用

         

摘要

目的 探讨磁共振成像 (MRI) 三维重建在垂体瘤质地术前评估中的应用效果.方法 选取我院2015年1月至2018年7月收治的70例垂体瘤患者, 根据术中所见将其分为质地软、质地中等和质地韧3组.收集患者的临床资料、影像学检查结果及手术情况.应用Mimics软件重建垂体瘤三维模型, 计算不同增强效应区域的体积和表面积, 分析其与肿瘤质地及术后并发症之间的关系.结果 垂体瘤三维模型轮廓清晰完整, 计算所得的平均阈值可准确分割图像.按质地进行分组, 发现各部分比例的差异均有统计学意义 (P <0.01), 经有序logistics回归分析发现, 垂体瘤硬度与增强扫描明显强化部分体积所占的比例及中度强化部分表面积与整体表面积的比值正相关 (P <0.05) .结论 应用Mimics软件对垂体瘤术前MRI影像进行三维重建能够准确预测肿瘤质地, 并可为手术方式的选择提供依据.%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.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号