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Application of CT-MRI image fusion technology based on MIM software in accurate radiotherapy of glioma / 西安交通大学学报(医学版)
Journal of Xi'an Jiaotong University(Medical Sciences) ; (6): 668-672, 2020.
Article in Chinese | WPRIM | ID: wpr-843842
ABSTRACT

Objective:

To study the value of CT-MRI image fusion technique using MIM software in accurate radiotherapy of glioma.

Methods:

Thirty patients with glioma admitted to the Department of Radiotherapy, The First Affiliated Hospital of Xi'an Jiaotong University, from October 2016 to December 2018 were selected for image fusion of CT and MRI using MIM software system image fusion function. After the fusion was completed, the same radiotherapy doctor performed the target area delineation of CT images and CT-MRI fusion images of each patient, used the same treatment planning system to make two different treatment plans for each patient, and compared the difference in target volume, the dosimetric difference in the target area and the dose difference in the organs at risk between the two groups of delineations.

Results:

The volumes of GTVCT, CTVCT and PTVCT delineated under CT images were significantly larger than those of GTVCT+MRI, CTVCT+MRI and PTVCT-MRI under CT-MRI fusion images (P<0.05). The maximum dose and mean dose of PTV in CT image group plan were higher than those in CT-MRI fusion image group plan (P<0.05). Except the right lens, right optic nerve, and right eyeball, the maximum dose and mean dose of OARs (brain stem, optic chiasm, pituitary, left optic nerve, left lens, and left eyeball) of CT image group plan were significantly greater than those of the CT-MRI fusion image group plan(P<0.05).

Results:

In the IMRT radiotherapy of glioma, the application of MIM software CT-MRI image fusion technology can improve the rationality and accuracy of target delineation and plan making, and can effectively reduce the radiation dose of normal tissues and improve the protection of normal tissues.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Xi'an Jiaotong University(Medical Sciences) Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Xi'an Jiaotong University(Medical Sciences) Year: 2020 Type: Article