Clinical significance of diffusion tensor imaging in designing the surgical approach for brain deep glioma
Zhou Dexiang
Lin Xiaofeng
Zhan Shengquan
Zhou Dong
Tang Kai
Chen Guangzhong
Wang Peng
Qin Kun
Guo Wenlong
Mao Chengliang
Zheng Congying
Mei Li
Abstract：Objective To study the clinical significance of diffusion tensor imaging (DTI) and reconstruction of cerebral white matter fiber tracts in designing the surgical approach for brain deep glioma. Methods Sixty patients with brain deep glioma were selected randomly. MRI scan was performed before surgery in 30 patients who served as the control group and the surgical approach was chosen for reaching the tumor easily and avoiding the brain functional region. Both DTI and MRI scan were performed before surgery in 30 patients who served as the DTI group, and the cerebral white matter fiber tracts were reconstructed and 3-D spatial structure relationship between the fiber tracts and tumor was clear before surgery. Then, the surgical approach was chosen according to the principle of avoiding the important fiber tracts and brain functional region. Furthermore, the KPS scores were compared between two groups one month after surgery. Results There was a total tumor removal under microscope in 19 and 18 patients, subtotal removal in 7 and 7, and partial removal in 4 and 5 in the control group and DTI group respectively. The rate of total removal was 60.0% in the DTI group and 63.3% in the control group. There was no significant difference in the rate of total removal between two groups (P > 0.05). The mean KPS scores of the patients was 91.67 ± 16.42 in the DTI group, which was significantly higher than 81.67 ± 20.69 in the control group (P <0.05). Conclusion DTI and reconstruction of fiber tracts of cerebral white matter have important significance in designing the surgical approach for brain deep glioma and play a role in protecting the essential white matter fiber tracts and reducing the disability rate.
Keywords：gliomabrain deepdiffusion tensor imagingreconstructionthree-dimensionaldesignsurgical approach
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 481-484 )