[1]董大鹏,张改容,申 戈,等.囊性胶质瘤MRI影像分型与病理的相关性及对预后的影响[J].医学信息,2026,39(10):104-108.[doi:10.3969/j.issn.1006-1959.2026.10.017]
　DONG Dapeng,ZHANG Gairong,SHEN Ge,et al.Correlation Between MRI Image Classification and Pathology of Cystic Gliomaand its Effect on Prognosis[J].Journal of Medical Information,2026,39(10):104-108.[doi:10.3969/j.issn.1006-1959.2026.10.017]
点击复制

囊性胶质瘤MRI影像分型与病理的相关性及对预后的影响()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
39卷
期数:
2026年10期
页码:
104-108
栏目:
临床证据信息
出版日期:
2026-05-15

文章信息/Info

Title:
Correlation Between MRI Image Classification and Pathology of Cystic Gliomaand its Effect on Prognosis
文章编号:
1006-1959（2026）10-0104-05
作者:
董大鹏1; 张改容1; 申 戈1; 2; 高 腾1; 廉 丽1; 周 明1; 刘 涛1
1北京汇安中西医结合医院肿瘤科，北京 100054；2.北京丰台区右安门医院肿瘤科，北京 100069
Author(s):
DONG Dapeng1;  ZHANG Gairong1;  SHEN Ge1; 2;  GAO Teng1;  LIAN Li1;  ZHOU Ming1;  LIU Tao1
1.Department of Oncology, Beijing Hui′an Hospital of Integrated Traditional Chinese and Western Medicine, Beijing 100054, China;2.Department of Oncology, Beijing Fengtai District You′anmen Hospital, Beijing 100069, China
关键词:
囊性胶质瘤; MRI影像分型; 病理分级
Keywords:
Cystic glioma;  MRI image classification;  Pathological grade
分类号:
R445.2
DOI:
10.3969/j.issn.1006-1959.2026.10.017
文献标志码:
A
摘要:
目的 分析囊性胶质瘤MRI影像分型与病理的相关性及对预后的影响。方法 回顾性分析2021年1月-2022年2月北京汇安中西医结合医院诊治的305例胶质瘤患者临床资料，分析囊性胶质瘤发生率、囊性胶质瘤MRI影像分型情况，比较不同MRI影像分型与病理分级囊性胶质瘤患者临床资料，采用Spearman相关性分析囊性胶质瘤MRI影像分型与病理分级的关系及对预后情况的影响。结果 305例胶质瘤患者中MRI初始影像显示囊性部分＞50%有22例（7.21%），其中1型影像12例，占54.55%；2型影像6例，占27.27%；3型影像4例，占18.18%。不同MRI影像分型囊性胶质瘤患者PFS1对比，差异有统计学意义（P＜0.05），而不同MRI影像分型囊性胶质瘤患者年龄、性别、基因、MGMT启动子甲基化、手术、囊大小、疾病进展情况、OS对比，差异无统计学意义（P＞0.05）。不同病理分级囊性胶质瘤患者基因、MGMT启动子甲基化对比，差异有统计学意义（P＜0.05），而不同病理分级囊性胶质瘤患者年龄、性别、手术、囊大小、疾病进展情况、OS、PFS1对比，差异无统计学意义（P＞0.05）。Spearman相关性分析显示，囊性胶质瘤MRI影像分型与病理分级呈正相关（P＜0.05）；随访中位数为13.9个月，其中12例出现进展，3例死亡，MRI影像分型囊性胶质瘤患者与PFS1相关（P＜0.05），且1型PFS1长于3型（P＜0.05）。结论 囊性胶质瘤MRI影像分型与病理分级具有一定的相关性，且对预后具有影响，尤其1型PFS1相对更长，其预后相对更好。
Abstract:
Objective To analyze the correlation between MRI image classification and pathology of cystic glioma and its effect on prognosis. Methods The clinical data of 305 patients with glioma diagnosed and treated in Beijing Hui′an Hospital of Integrated Traditional Chinese and Western Medicine from January 2021 to February 2022 were retrospectively analyzed. The incidence of cystic glioma and MRI image classification of cystic glioma were analyzed. The clinical data of patients with different MRI image classification and pathological grade of cystic glioma were compared. Spearman correlation was used to analyze the relationship between MRI image classification and pathological grade of cystic glioma and its effect on prognosis. Results Of the 305 glioma patients, 22 cases (7.21%) showed initial MRI findings with a cystic component exceeding 50%. Among these, type 1 was observed in 12 cases (54.55%), type 2 in 6 cases (27.27%), and type 3 in 4 cases (18.18%). There was a statistically significant difference in PFS1 among patients with cystic glioma of different MRI image types (P<0.05), while no statistically significant differences were observed in age, sex, genetic status, MGMT promoter methylation status, surgery, cyst size, disease progression, or overall survival among patients with different MRI imaging types of cystic glioma (P>0.05). There were statistically significant differences in gene and MGMT promoter methylation in patients with different pathological grades of cystic glioma (P<0.05), while no statistically significant differences were observed in age, sex, surgery, cyst size, disease progression, OS, or PFS1 among patients with different pathological grades of cystic glioma (P>0.05). Spearman correlation analysis showed that MRI image classification of cystic glioma was positively correlated with pathological grade (P<0.05). The median follow-up was 13.9 months, of which 12 cases progressed and 3 died. MRI image classification of cystic glioma patients was related to PFS1 (P<0.05), and PFS1 of type 1 was longer than that of type 3 (P<0.05). Conclusion MRI imaging classification of cystic glioma has a certain correlation with pathological grade, and has an impact on prognosis. In particular, type 1 PFS1 is relatively longer, and its prognosis is relatively better.

参考文献/References:

[1]宋楠,郭汉洲,沈春洋,等.高光谱成像的脑胶质瘤检测[J].光谱学与光谱分析,2020,40(12):3784-3788.[2]褚玉玄,王建伟.3D-ASL及IVIM在高级别脑胶质瘤术后复发和放射性脑损伤中的应用[J].中国实用神经疾病杂志,2023,26(4):410-415.[3]郑淑荣,庞波,柴睿超.《世界卫生组织中枢神经系统肿瘤分类指南》下成人胶质瘤诊断及预后(第五版)[J].生物化学与生物物理进展,2022,49(11):2192-2198.[4]黄晓明,李军亮,刘珍银,等.DWI、IVIM参数与脑胶质瘤患儿肿瘤标志物水平相关性[J].河北医科大学学报,2023,44(1):74-80.[5]孙亚方,王政,石祥宇,等.老年胶质母细胞瘤患者MGMT甲基化状态对放化疗及预后影响[J].中华放射肿瘤学杂志,2021,30(5):446-450．[6]方三高,陈真伟,魏建国.2021年第五版WHO中枢神经系统肿瘤分类[J].诊断病理学杂志,2022,29(10):991-992.[7]孙功能,朱虎,邱伟,等.磁共振弥散张量成像定量参数在胶质瘤分级诊断中的应用研究[J].医学影像学杂志,2019,29(4):528-531.[8]郭晓,邓喜青,胡振,等.3.0T磁共振多模态成像技术在鉴别前列腺良恶性病变的诊断价值[J].中国CT和MRI杂志,2023,21(2):129-130,136.[9]葛建钢.多模态磁共振成像检查技术在乳腺癌诊断中的应用[J].实用医学影像杂志,2022,23(6):632-634.[10]陈辉艳,梁莎,梁志杰.多模态高清磁共振成像技术在卵巢肿块的临床应用[J].实用医学影像杂志,2022,23(5):462-464.[11]孙爽,尹昳丽.多模态磁共振成像技术对腮腺Warthin瘤与多形性腺瘤的鉴别价值[J].江苏大学学报(医学版),2022,32(2):167-171.[12]Tuan PA,Duc NM.A rare, giant, anaplastic oligodendroglioma[J].Radiology Case Reports,2023,18:1544-1548.[13]高宇飞,张晖,陈英敏,等.DKI在多模态磁共振成像技术中对乳腺良恶性肿瘤的突出诊断价值[J].临床放射学杂志,2021,40(10):1899-1904.[14]黄德尤,廖莎,卢德伟,等.术前多模态MRI检查与颅内脑膜瘤患者术后复发及高组织学分级的关系[J].实用医学杂志,2021,37(2):201-204.[15]张格,陈旺生,陈峰,等.幕上Ⅱ～Ⅳ级胶质瘤多模态 MRI的分级诊断与病理学结果的相关性研究[J].放射学实践,2021,36(7):837-842．[16]刘小华,赵华硕,何鹏,等.基于支持向量机的MRI灌注与扩散技术对脑胶质瘤术前分级预测模型研究[J].临床放射学杂志,2022,41(2):224-230．[17]杨豪,邵剑波,彭雪华,等．儿童弥漫性中线胶质瘤伴H3K27M突变型的影像学特征与分析[J].临床放射学杂志,2020,39(11):2310-2314．[18]袁姝娅,李瑞,邱俊,等.DCE-MRI和DWI检查在术前诊断脑胶质瘤病变恶性程度中的应用价值[J].湖南师范大学学报(医学版),2022,19(1):75-78.[19]吕瑞瑞,杨治花,葛鑫,等.集成 MRI联合三维动脉自旋标记成像鉴别胶质瘤复发和假性进展的初步研究[J].磁共振成像,2022,13(8):19-23,35.[20]谢佳培,张卫东,朱婧怡,等.磁共振T1、T2值在脑胶质瘤分级及细胞增殖活性预测中的临床价值[J].磁共振成像,2021,12(1):15-20.

更新日期/Last Update: 1900-01-01