马文婷,朱袁慧,魏照坤,王莉莉.动态对比增强MRI及弥散加权成像参数预测结直肠癌微卫星不稳定[J].中国医学影像技术,2023,39(10):1526~1530
动态对比增强MRI及弥散加权成像参数预测结直肠癌微卫星不稳定
Dynamic contrast enhanced-MRI and diffusion weighted imaging parameters for predicting microsatellite instability of colorectal cancer
投稿时间:2023-07-11  修订日期:2023-09-12
DOI:10.13929/j.issn.1003-3289.2023.10.017
中文关键词:  结直肠肿瘤  磁共振成像  微卫星不稳定性
英文关键词:colorectal neoplasms  magnetic resonance imaging  microsatellite instability
基金项目:甘肃省青年科技基金计划(20JR5RA143)。
作者单位E-mail
马文婷 甘肃省人民医院放射科, 甘肃 兰州 730000  
朱袁慧 甘肃省人民医院放射科, 甘肃 兰州 730000  
魏照坤 甘肃省人民医院放射科, 甘肃 兰州 730000  
王莉莉 甘肃省人民医院放射科, 甘肃 兰州 730000 wanglilihq@163.com 
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中文摘要:
      目的 观察动态对比增强MRI(DCE-MRI)及弥散加权成像(DWI)参数预测结直肠癌微卫星不稳定(MSI)的价值。方法 回顾性分析经病理证实的11例MSI(MSI组)和55例微卫星稳定(MSS,MSS组)结直肠癌患者,比较组间术前DCE-MRI参数,包括容积转移常数(Ktrans)、血管外细胞外间隙容积分数(Ve)、血管内外回流速率常数(Kep)和初始强化曲线下面积(iAUC),以及DWI参数表观弥散系数(ADC)的差异。采用受试者工作特征(ROC)曲线评估各参数预测结直肠癌MSI的效能;基于诊断效能最高的DCE-MRI参数及ADC,采用多因素logistic回归建立联合模型,并评估其诊断效能。结果 MSI组KtransKep、iAUC均低于MSS组(P均<0.05),ADC显著高于MSS组(P<0.001),而Ve与MSS组差异无统计学意义 (P=0.536)。Kep预测结直肠癌MSI的AUC为0.890,高于Ktrans、iAUC及ADC(AUC=0.822、0.830、0.879,Z=3.456、3.173、3.170,P均<0.001);Kep+ADC的AUC为0.970,高于单一Kep及ADC(AUC=0.890、0.879, Z=6.171、3.978,P均<0.001)。结论 DCE-MRI联合DWI参数可有效预测结直肠癌MSI。
英文摘要:
      Objective To investigate the value of dynamic contrast enhanced-MRI (DCE-MRI) and diffusion weighted imaging (DWI) parameters for predicting microsatellite instability (MSI) of colorectal cancer. Methods Data of 11 colorectal cancer patients with MSI (MSI group) and 55 colorectal cancer cases with microsatellite stability (MSS, MSS group) confirmed by pathology were retrospectively analyzed. Preoperative DCE-MRI parameters, including volume transfer constant (Ktrans), extracellular extravascular volume fraction (Ve), rate constant (Kep) and initial area under the curve (iAUC) were compared between groups, so were apparent diffusion coefficient (ADC) of DWI. Receiver operating characteristics (ROC) curve was drawn to evaluate the efficacy of each parameter for predicting colorectal cancer MSI. Multivariate logistic regression was used to establish a combined model based on DCE-MRI parameters with the highest diagnostic performance and ADC, and its diagnostic efficacy was evaluated. Results Ktrans, Kep and iAUC of MSI group were lower than those of MSS group (all P<0.05), ADC of MSI group was significantly higher than that of MSS group (P<0.001), while Ve were not significantly different between groups (P=0.536). AUC of Kep for predicting colorectal cancer MSI was 0.890, higher than those of Ktrans, iAUC and ADC (AUC=0.822, 0.830, 0.879, Z=3.456, 3.173, 3.170, all P<0.001), of Kep+ADC was 0.970, higher than that of Kep and ADC alone (AUC=0.890, 0.879, Z=6.171,3.978, both P<0.001). Conclusion DCE-MRI combined with DWI parameters could be used to effectively predict MSI of colorectal cancer.
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