首页|钆塞酸二钠增强MRI列线图可在患者术前有效预测肝细胞癌Ki-67的表达

钆塞酸二钠增强MRI列线图可在患者术前有效预测肝细胞癌Ki-67的表达

The MRI histogram enhanced by disodium gadosenate can effectively predict the expression of Ki-67 in hepatocellular carcinoma before operation

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目的 探讨钆塞酸二钠增强MRI列线图在术前预测肝细胞癌Ki-67表达状态的应用价值.方法 回顾性分析本院2022年1月~2024年5月经病理诊断的122例肝细胞癌患者的资料,根据术后免疫组化细胞增殖水平(Ki-67指数)将患者分为Ki-67高表达组(n=71)和Ki-67低表达组(n=51),并按7:3比例随机分为训练集(n=85)和验证集(n=37),分析两组患者影像学参数[肿瘤直径、边缘、假包膜、瘤体区表观弥散系数(ADC)、肝胆期信号强度与正常肝实质信号强度比(SIR)、瘤周低信号]、AFP浓度及肿瘤分化程度差异,纳入LASSO回归模型筛选出最具价值的参数,并行多因素Logistic回归分析建立预测模型构建列线图,通过ROC曲线、校准曲线和决策曲线评估模型效能.结果 训练集及验证集Ki-67高表达组甲胎蛋白≥20 ng/mL、肿瘤边缘不光滑、瘤周低信号高于Ki-67低表达组,ADC值和SIR低于Ki-67低表达组,差异有统计学意义(P<0.05),而肿瘤直径、假包膜的差异无统计学意义(P>0.05).应用LASSO回归筛选出3个最有价值参数(肿瘤ADC值、SIR及肿瘤分化程度),多因素Logistic回归分析显示ADC值及SIR是Ki-67表达影响因素,基于以上参数建立列线图模型,其校准曲线与理想曲线贴合良好,其ROC曲线下面积为0.827,敏感度为81.2%,特异度为80%.结论 钆塞酸二钠增强MRI列线图模型可在术前有效预测肝细胞癌Ki-67表达状态,从而实现肝细胞癌患者风险分层及个体化治疗.
Objective To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI nomogram in preoperative prediction of the Ki-67 expression status in hepatocellular carcinoma(HCC).Methods A retrospective analysis was conducted on 122 HCC patients diagnosed pathologically from January 2022 to May 2024 at our hospital.Patients were divided into high Ki-67 expression(n=71)and low Ki-67 expression(n=51)groups based on postoperative immunohistochemical cell proliferation levels(Ki-67 index).The patients were then randomly allocated to a training set(n=85)and a validation set(n=37)in proportion.Differences in imaging parameters[tumor diameter,margin,pseudocapsule,apparent diffusion coefficient(ADC)of the tumor area,signal intensity ratio(SIR)of the hepatobiliary phase to normal liver parenchyma,and peritumoral hypointensity],alpha fetoprotein concentration,and tumor differentiation degree between the two groups were analyzed.The most valuable parameters were selected using LASSO regression,and a predictive model was established through multivariate logistic regression analysis.The performance of the model was evaluated using ROC curves,calibration curves,and decision curves.Results In both the training and validation sets,the high Ki-67 expression group had higher alpha fetoprotein levels(≥20 ng/mL),more irregular tumor margins,and more frequent peritumoral hypointensity compared to the low Ki-67 expression group.The ADC values and SIR were lower in the high Ki-67 expression group,with statistically significant differences(P<0.05).However,there were no significant differences in tumor diameter and presence of pseudocapsules(P>0.05).LASSO regression identified three most valuable parameters(tumor ADC,SIR,and tumor differentiation degree).Multivariate logistic regression analysis showed that ADC and SIR were influencing factors for Ki-67 expression.Based on these parameters,a Nomogram model was established.The calibration curve of the model fit well with the ideal curve,and the area under the ROC curve was 0.827,with a sensitivity of 81.2%and specificity of 80%.Conclusion Gd-EOB-DTPA enhanced MRI nomogram can effectively predict the Ki-67 expression status in HCC preoperatively,facilitating risk stratification and personalized treatment for HCC patients.

hepatocellular carcinomamagnetic resonance imagingcell proliferation levelapparent diffusion coefficientNomogram

于红梅、陈敏、杨娅、吴杰、刘轶、王鹏

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中国人民解放军西部战区总医院放射诊断科,四川 成都 610083

肝细胞癌 磁共振成像 细胞增殖水平 表观弥散系数 列线图

西部战区总医院院管课题

2024-YGJS-B01

2024

分子影像学杂志
南方医科大学

分子影像学杂志

CSTPCD
ISSN:1674-4500
年,卷(期):2024.47(10)