机构地区:[1]Department of Magnetic Resonance Imaging,The Second Hospital&Clinical Medical School,Lanzhou University,Lanzhou 730030,Gansu Province,China [2]Second Clinical School,Lanzhou University,Lanzhou 730030,Gansu Province,China [3]Gansu Province Clinical Research Center for Functional and Molecular Imaging,The Second Hospital&Clinical Medical School,Lanzhou University,Lanzhou 730030,Gansu Province,China [4]Department of Hepatology,The Second Hospital&Clinical Medical School,Lanzhou University,Lanzhou 730030,Gansu Province,China [5]MR Scientific Marketing,Siemens Healthineers,Xi’an 710065,Shaanxi Province,China
出 处:《World Journal of Gastroenterology》2024年第9期1164-1176,共13页世界胃肠病学杂志(英文版)
基 金:the Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital,NO.CY2021-QNB09;the Science and Technology Project of Gansu Province,NO.21JR11RA122;Department of Education of Gansu Province:Innovation Fund Project,NO.2022B-056;Gansu Province Clinical Research Center for Functional and Molecular Imaging,NO.21JR7RA438.
摘 要:BACKGROUND Diffusion-weighted imaging(DWI)has been developed to stage liver fibrosis.However,its diagnostic performance is inconsistent among studies.Therefore,it is worth studying the diagnostic value of various diffusion models for liver fibrosis in one cohort.AIM To evaluate the clinical potential of six diffusion-weighted models in liver fibrosis staging and compare their diagnostic performances.METHODS This prospective study enrolled 59 patients suspected of liver disease and scheduled for liver biopsy and 17 healthy participants.All participants underwent multi-b value DWI.The main DWI-derived parameters included Mono-apparent diffusion coefficient(ADC)from mono-exponential DWI,intravoxel incoherent motion model-derived true diffusion coefficient(IVIM-D),diffusion kurtosis imaging-derived apparent diffusivity(DKI-MD),stretched exponential model-derived distributed diffusion coefficient(SEM-DDC),fractional order calculus(FROC)model-derived diffusion coefficient(FROC-D)and FROC model-derived microstructural quantity(FROC-μ),and continuous-time random-walk(CTRW)model-derived anomalous diffusion coefficient(CTRW-D)and CTRW model-derived temporal diffusion heterogeneity index(CTRW-α).The correlations between DWI-derived parameters and fibrosis stages and the parameters’diagnostic efficacy in detecting significant fibrosis(SF)were assessed and compared.RESULTS CTRW-D(r=-0.356),CTRW-α(r=-0.297),DKI-MD(r=-0.297),FROC-D(r=-0.350),FROC-μ(r=-0.321),IVIM-D(r=-0.251),Mono-ADC(r=-0.362),and SEM-DDC(r=-0.263)were significantly correlated with fibrosis stages.The areas under the ROC curves(AUCs)of the combined index of the six models for distinguishing SF(0.697-0.747)were higher than each of the parameters alone(0.524-0.719).The DWI models’ability to detect SF was similar.The combined index of CTRW model parameters had the highest AUC(0.747).CONCLUSION The DWI models were similarly valuable in distinguishing SF in patients with liver disease.The combined index of CTRW parameters had the highest AUC.
关 键 词:Liver fibrosis Magnetic resonance imaging Diffusion-weighted magnetic resonance Liver biopsy Significant fibrosis
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