磁共振成像2025，Vol.16Issue(5)：22-29,8.DOI:10.12015/issn.1674-8034.2025.05.004
基于多模型DWI的胰腺癌组织学表征研究:动物-临床联合验证
Multiparametric diffusion models for histological characterization of pancreatic cancer:Insights from animal and clinical studies
摘要
Abstract
Objective:To investigate the histological relevance and potential clinical value of multiparametric diffusion-weighted imaging(DWI)parameters for pancreatic cancer through animal experiments and a prospective clinical study.Materials and Methods:Twelve xenograft mouse models of pancreatic cancer and twenty-five patients with histologically confirmed pancreatic ductal adenocarcinoma were enrolled.Multi-model DWI analysis was performed using the mono-exponential model(Mono),intravoxel incoherent motion(IVIM)model,diffusion kurtosis imaging(DKI),stretched exponential model(SEM),fractional-order calculus(FROC)model,and continuous-time random walk(CTRW)model.The extracted parameters included Mono_ADC,IVIM_D,DKI_MD,SEM_D,FROC_D,CTRW_D,IVIM_D*,IVIM_f,DKI_MK,SEM_α,FROC_β,FROC_mμ,CTRW_α,and CTRW_β.Histological correlations with DWI parameters were evaluated using Masson and Ki-67 staining in the animal cohort.In the clinical study,differences in DWI parameters between pancreatic cancer and pancreatic normal tissue were assessed,and ROC analysis was used to evaluate discriminative ability.Results:In animal studies,DKI_MD was significantly negatively correlated with the degree of fibrosis(r=-0.85,P＜0.001),while CTRW_β(r=-0.82,P=0.001)and FROC_β(r=-0.78,P=0.002)were closely associated with Ki-67 expression.In clinical data,DWI parameters including DKI_MD,IVIM_f,and FROC_β differed significantly between pancreatic cancer and normal tissues(P＜0.05).DKI_MD showed the highest diagnostic performance individually(AUC=0.757,95％CI:0.615 to 0.867),while the combined model(DKI_MD+FROC_β)achieved improved accuracy(AUC=0.866,95％CI:0.739 to 0.945)with significantly better sensitivity(76％)and specificity(88％).Conclusions:Multiparametric analysis using non-Gaussian DWI models provides valuable insights into the microstructural features of pancreatic cancer.Among them,DKI_MD and FROC_β demonstrated significant advantages in quantifying fibrosis and heterogeneity,indicating their potential as imaging biomarkers.关键词
胰腺癌/磁共振成像/扩散加权成像/扩散峰度成像Key words
pancreatic cancer/magnetic resonance imaging/diffusion-weighted imaging/diffusion kurtosis imaging分类
医药卫生引用本文复制引用
李佳丽,吕晨晰,马思源,李震..基于多模型DWI的胰腺癌组织学表征研究:动物-临床联合验证[J].磁共振成像,2025,16(5):22-29,8.基金项目
National Natural Science Foundation of China(No.82202127). 国家自然科学基金项目(编号:82202127) （No.82202127）
