%0 Journal Article
%T 合成磁共振及扩散张量成像在脑神经胶质肿瘤分级中的研究进展<br>Research Progress of Synthetic MRI and DTI in Brain Glioma Grading
%A 徐蕊
%A 罕迦尔别克·库锟
%A 王云玲
%J Advances in Clinical Medicine
%P 12326-12331
%@ 2161-8720
%D 2023
%I Hans Publishing
%R 10.12677/ACM.2023.1381728
%X 脑胶质瘤是较为常见的中枢神经系统肿瘤，表现为向外浸润性生长，具有侵袭性且容易复发，目前手术切除仍是该病的主要治疗手段，脑胶质瘤的早期诊断及分级对治疗方案的制定及预后具有重要意义。MRI因具有多平面、多序列、高分辨率等特点，对肿瘤疾病评估具有重要价值，随着影像技术的发展，磁共振成像技术在脑胶质瘤的分级诊断中发挥着越来越重要的作用，肿瘤影像的定量评价逐渐成为研究热点。本文就目前合成磁共振成像的定量参数及扩散张量成像在胶质瘤分级中的研究进展进行较全面的阐述。<br />
Glioma is a common central nervous system tumor, which is characterized by outward invasive growth, invasion and easy recurrence. At present, surgical resection is still the main treatment of the disease, and the early diagnosis and grading of glioma are of great significance to the formula-tion and prognosis of the treatment plan. MRI, with multiple plane, multiple sequence and high resolution, has important value for tumor disease evaluation. With the development of imaging technology, magnetic resonance imaging technology is playing an increasingly important role in the graded diagnosis of glioma, and the quantitative evaluation of tumor imaging has gradually become a research hotspot. In this paper, the current research progress of quantitative parameters of syn-thetic magnetic resonance imaging and diffusion tensor imaging in glioma grading was comprehen-sively described.
%K 合成磁共振技术，扩散张量成像，神经胶质瘤，分级<br>Synthetic Magnetic Resonance Technique
%K Diffusion Tensor Imaging
%K Glioma
%K Grading
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=70264