首页|合成MRI联合MUSE-DWI鉴别胶质瘤复发和治疗相关改变的应用研究

合成MRI联合MUSE-DWI鉴别胶质瘤复发和治疗相关改变的应用研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
目的 探讨合成MRI定量参数联合多重灵敏度编码扩散加权成像(multiplexed sensitivity encoding diffusion weighted imaging,MUSE-DWI)鉴别胶质瘤复发(progressive disease,PD)和治疗相关改变(treatment-related change,TRC)的应用价值.材料与方法 本研究于2020年9月至2022年11月期间,依据纳、排标准收集胶质瘤全切术后行完整的放、化疗治疗,定期MRI随访出现新发强化灶的患者45例,其中PD组26例、TRC组19例.所有患者均行MUSE-DWI、合成MRI及对比增强T1加权成像(contrast enhanced T1-weighted imaging,CE_T1WI)序列.测量强化区域表观扩散系数(apparent diffusion coefficient,ADC)及增强前、后T1值(T1pre、T1post)、T2值(T2pre、T2post).采用独立样本t检验或Mann-Whitney U检验比较合成MRI定量参数和ADC值的组间差异,采用二元logistic回归及受试者工作特征(receiver operating characteristic,ROC)曲线评估单参数及其联合的诊断效能.结果 (1)PD T1pre高于TRC(P<0.05),T1post和ADC值低于TRC(P<0.05),两组间T2pre、T2post差异无统计学意义(P>0.05).(2)单参数分析时,ADC值诊断效能最高(AUC=0.878),其次是T1post、T1pre(AUC为0.783、0.745).T1post、T1pre两者联合时,诊断效能较单参数提高(AUC=0.850).多参数联合模型(T1post+T1pre+ADC)诊断效能最高(AUC=0.901).结论 合成MRI定量参数(T1post、T1pre)联合ADC值的多参数联合模型,在鉴别胶质瘤PD和TRC中具有一定价值.
Application of synthetic MRI combined with MUSE-DWI to differentiate glioma progressive disease from treatment-related changes
Objective:To assess the utility of synthetic MRI quantitative parameters and multiplexed sensitivity encoding diffusion weighted imaging (MUSE-DWI) in combination to differentiate glioma progressive disease (PD) from treatment-related change (TRC). Materials and Methods:In this study,we collected 45 patients who exhibited new enhancing lesions after surgery followed by completion of chemoradiation therapy from September 2020 to November 2022. The scan sequences included synthetic MRI,MUSE-DWI and contrast enhanced T1-weighted imaging (CE_T1WI). The patients were classified into two groups:PD group (n=26) and TRC group (n=19). The ROI is placed on each image to measure apparent diffusion coefficient (ADC),pre-contrast T1,T2 value (T1pre,T2pre) and post-contrast T1,T2 value (T1post,T2post). Quantitative parameters (T1pre,T2pre and T1post,T2post) and ADC were evaluated using Student's t-test or Mann-Whitney U test. We generated receiver operating characteristic (ROC) curves for each parameter and their combinations. Finally,we used the area under the ROC curve (AUC) to assess the performance of each parameter and their combinations. Results:(1) The T1pre value in the PD group were significantly higher than the TRC group (P<0.05). The values of T1post and ADC in the PD group were significantly lower than the TRC group (all P<0.05). There was no statistical difference in T2pre,T2post value (P>0.05). (2) ADC diagnostic performance was highest when using single parameter analysis (AUC=0.878),followed by T1post and T1pre with AUC of 0.783 and 0.745,respectively. The combinations of two parameters (T1pre+T1post) improved the diagnostic performance (AUC=0.850) compared to the single parameter. A combined multi-parameter model (T1pre+T1post+ADC) was established with the highest diagnostic efficacy (AUC=0.901). Conclusions:The combinations of the two techniques to construct a multiparametric combined model of relaxation quantitative parameters (T1pre,T1post) combined with ADC values have a good diagnostic value in differentiating PD and TRC.

gliomasynthetic magnetic resonance imagingmagnetic resonance imagingmultiplexed sensitivity-encodingprogressive diseasetreatment-related change

吕瑞瑞、杨治花、党佩、黄雪莹、马文富、金一萱、吕鸿洁、王晓东

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宁夏医科大学总医院放射科,银川 750003

宁夏医科大学总医院肿瘤医院放疗科,银川 750003

宁夏医科大学第一临床医学院,银川 750003

胶质瘤 合成磁共振成像 磁共振成像 多重灵敏度编码 复发 治疗相关改变

宁夏回族自治区自然科学基金宁医大总院新入职硕士人才培养项目(2023)

2023AAC03557[2023]394号

2024

10.12015/issn.1674-8034.2024.07.014

磁共振成像
中国医院协会 首都医科大学附属北京天坛医院

磁共振成像

CSTPCD北大核心
影响因子：1.38
ISSN：1674-8034
年,卷(期)：2024.15(7)
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