广州医药2024，Vol.55Issue(3)：221-230,10.DOI:10.3969/j.issn.1000-8535.2024.03.002
MRI影像组学在胶质瘤术前分级预测中的研究进展
Advancement in MRI radiomics for preoperative glioma grading prediction
摘要
Abstract
Glioma is the most common primary malignant brain tumor,and its grading is crucial for treatment decisions and prognosis.Currently,histopathology remains the gold standard for grading,but it requires invasive procedures and carries inherent risks.In contrast,magnetic resonance imaging(MRI),a non-invasive diagnostic tool,plays an indispensable role in glioma grading.However,traditional MRI assessment is hampered by interobserver subjectivity and limited repeatability,which compromise grading accuracy.In recent years,radiomics,a burgeoning field,has offered a promising solution to address these challenges.By extracting high-dimensional imaging data features,radiomics enables the quantification of tumor radiological characteristics and elimination of subjectivity-related discrepancies.This technology assists clinicians in more precisely assessing the malignancy of gliomas.This article summarizes relevant studies in the past five years on the application of MRI radiomics in preoperative glioma grading,aiming to provide valuable insights and guidance to researchers in the field and promote the clinician implementation of MRI radiomics.关键词
胶质瘤/术前分级/磁共振成像/影像组学Key words
glioma/preoperative grading/magnetic resonance imaging/radiomics引用本文复制引用
梁芳蓉,杨蕊梦..MRI影像组学在胶质瘤术前分级预测中的研究进展[J].广州医药,2024,55(3):221-230,10.基金项目
国家自然科学基金面上项目(82371908,81971574) （82371908,81971574）
广东省自然科学基金面上项目(2024A1515012177) （2024A1515012177）
广州市重点实验室建设项目(202201020376) （202201020376）
广东省基础与应用基础研究基金企业联合基金-面上项目(2021A1515220060) （2021A1515220060）
