DCE-MRI 3D MIP可视化成像技术对乳腺癌患者治疗决策的提示-现代医学

DCE-MRI 3D MIP可视化成像技术对乳腺癌患者治疗决策的提示

单位：徐州市肿瘤医院医学影像科, 江苏徐州 221000

分类号：R445.2

出版年·卷·期（页码）：2024·52·第五期（776-779）

摘要：

目的：研究磁共振动态增强MRI(DCE-MRI)三维剪影(3D MIP)可视化成像技术术前精准评估乳腺癌责任血管的应用价值，探讨其优越性。方法：回顾性分析2020年1月至2023年5月，在徐州市肿瘤医院临床确诊为乳腺癌的患者200例，术前行双乳DCE-MRI扫描，并构建血管3D MIP可视化模型，分别使用单纯DCE-MRI及DCE-MRI 3D MIP可视化模型评估患者乳腺癌灶的责任血管及周围血管的分布情况，对两种检查结果进行对比分析。结果：单纯DCE-MRI及DCE-MRI 3D MIP可视化模型对乳腺癌灶的责任血管均有较好的显示率，术前应用MRI DCE 3D-MIP可视化成像技术，对乳腺癌灶责任血管的评估优于单纯DCE-MRI。结论:DCE-MRI 3D MIP可视化成像技术建立在传统影像学的基础之上，具有精确、可视、量化等突出优点，结合DCE-MRI图像，可以更明确乳腺癌灶与责任血管之间的联系，包括其分支及侧支循环，从而为肿瘤精准治疗提供依据。

Objective: To evaluate the application value of dynamic contrast enhanced MRI with three-dimensional maximum intensity projection(DCE-MRI 3D MIP) in the preoperative precise assessment of feeding arteries in breast cancer, highlighting its advantages. Methods:200 breast cancer patients diagnosed at Xuzhou Cancer Hospital from January 2020 to May 2023 were retropectively analyzed, and the preoperative bilateral breast MRI dynamic enhancement scan was performed, and the 3D MIP visualization model of blood vessels was constructed. The distribution of feeding arteries and surrounding vessels of the breast cancer lesions using DCE-MRI alone and combined with the vascular 3D MIP visualization model were used to evaluate, and the results of these two methodologies were compared and analyzed. Results: Both methods—DCE-MRI alone and in conjunction with the vascular 3D MIP visualization model—demonstrated effective visualization of the feeding arteries for breast cancer lesions. The combined use of breast MRI-DCE with the 3D MIP visualization model offered superior vascular assessment of breast cancer lesions due to its capacity for three-dimensional visual reconstruction and multi-planar observation, outperforming DCE-MRI alone. Conclusion: DCE-MRI 3D MIP visualization imaging technology, building upon conventional imaging techniques, offers marked advantages in precision, visualization, and quantification. When integrated with DCE-MRI images, it enhances the delineation of the relationship between breast cancer lesions and their feeding arteries, including branches and collateral circulation, thereby facilitating more accurate tumor treatment planning.

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