AbstractObjective To investigate the value of computed tomography (CT)-magnetic resonance imaging (MRI) image fusion in target volume delineation of postoperative precise radiotherapy for gliomas. Methods Thirty-six patients newly diagnosed with gliomas were enrolled and received postoperative intensity-modulated radiotherapy. Landmark (L) combined with manual fusion (M) and maximization of mutual information (MI) was used for image fusion. Target volume and organs at risk were delineated based on CT images and fused images, respectively. Comparison of the volume was made by pairwise t test. The distance from a landmark on CT image to the corresponding one on MRI image was calculated. The volume method and geometric center method were used to calculate the degree of volume overlap and changes in central positions after image fusion. Results The L+M+MI method achieved a high registration accuracy in image fusion, with a registration error less than 2 mm. In patients with grade Ⅲ-IV gliomas, the CT images yielded significantly smaller gross tumor volume (GTV) and clinical target volume (CTV) than the MRI images (74.62±46.91 vs. 105.99±58.86 cm3, P=0.042;304.03±130.05 vs. 387.94±150.12 cm3, P=0.040). After image fusion, the smallest change in central position occurred in the chiasma (1.32±1.42 mm), and the largest change occurred in CTV (7.99±11.06 mm), followed by GTV and the brain stem. Conclusions CT-MRI image fusion helps to reduce the uncertainty of target volume delineation in patients with gliomas, especially in those with edema and residual tumor after surgery.
Huang Rong,Wu Hui,Lu Xiaoxu et al. Observation of CT-MRI image fusion in postoperativeprecise radiotherapy for gliomas[J]. Chinese Journal of Radiation Oncology, 2017, 26(2): 192-196.
Huang Rong,Wu Hui,Lu Xiaoxu et al. Observation of CT-MRI image fusion in postoperativeprecise radiotherapy for gliomas[J]. Chinese Journal of Radiation Oncology, 2017, 26(2): 192-196.
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