【摘要】 目的：探讨双能CT平衡期胰腺碘定量参数碘浓度（IC）、标准化碘浓度（NIC）及细胞外体积分数(ECV_IC)与糖化血红蛋白（HbA1c）的相关性及其评估糖尿病病情的可行性。方法：回顾性纳入168例行腹部双能CT 3期增强扫描患者，其中无糖尿病组48例、糖尿病前期组45例和糖尿病组75例。于平衡期碘基图获得胰腺碘定量参数IC、NIC和ECV_IC，比较3组间参数差异，分析胰腺IC、NIC及ECV_IC与HbA1c的相关性，评估胰腺碘定量参数对糖尿病病情的诊断效能。结果：糖尿病组胰腺NIC、ECV_IC均显著高于非糖尿病组和糖尿病前期组，差异均有统计学意义（均P<0.05）。胰腺IC各组间差异无统计学意义（P>0.05）。全部患者及糖尿病组HbA1c与NIC、ECV_IC均呈正相关（均P<0.05）；各组HbA1c与IC均无显著相关性（均P>0.05）。ECV_IC区分无糖尿病组与糖尿病组、糖尿病前期组与糖尿病组的AUC分别为0.753、0.717，与NIC的AUC（0.704、0.708）比较，差异均无统计学意义（均P>0.05）。结论：胰腺碘定量参数NIC和ECV_IC均与HbA1c存在相关性，可作为评估糖尿病病情的潜在影像学指标。更多还原

【Abstract】 Objective:To explore the correlation between hemoglobin A1c(HbA1c) and the equilibrium phase pancreatic iodine quantification parameters,iodine concentration(IC),normalized iodine concentration(NIC),extracellular volume fraction(ECVIC),using dual-energy CT(DECT),and to evaluate their feasibility in assessing diabetes severity. Methods:This retrospective study enrolled 168 patients undergoing abdominal three-phase DECT enhancement scans,categorized into non-diabetes(48 cases),pre-diabetes(45 cases),and diabetes(75 cases) groups. Pancreatic IC,NIC,and ECVIC were measured on iodine-based decomposition images(IDIs) during the equilibrium phase. Intergroup differences were compared,correlations between parameters(IC,NIC,ECVIC) and HbA1c were analyzed,and diagnostic performance for diabetes was assessed. Results:The diabetes group exhibited significantly higher pancreatic NIC and ECVIC than non-diabetes and pre-diabetes groups(all P<0.05),while IC showed no intergroup difference(P>0.05). HbA1c positively correlated with NIC and ECVIC in both the entire cohort and diabetes group(all P<0.05),but not with IC in any group(all P>0.05). For distinguishing non-diabetes from diabetes,ECVIC yielded AUCs of 0.753 for non-diabets and diabetes,and of 0.717 for pre-diabetes and diabetes,respectively,with no significant differences compared to NIC(AUCs of 0.704 and 0.708,both P>0.05). Conclusions:Pancreatic NIC and ECVIC correlate with HbA1c and may serve as potential imaging biomarkers for diabetes assessment.更多还原