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Predicting Infiltrative Hepatocellular Carcinoma Patient Outcome Post-TACE:MR Bias Field Correction Effect on 3D-quantitative Image Analysis

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Journal of Clinical and Translational Hepatology 2020年第3期8卷 292-298页

作者： Cuihong Liu Susanne Smolka Xenophon Papademetris Duc Do Minh Geliang Gan Yanhong Deng MingDe Lin Julius Chapiro Ximing Wang christos georgiades Kelvin Hong Department of Ultrasound Diagnosis and Treatment Shandong Provincial HospitalCheeloo College of MedicineShandong UniversityJinanShandongChina Department of Radiology and Biomedical Imaging Yale University School of MedicineNew HavenCTUSA Department of Diagnostic and Interventional Radiology CharitéUniversity HospitalBerlinGermany Department of Biomedical Engineering Yale UniversityNew HavenCTUSA School of Public Health Yale UniversityNew HavenCTUSA Department of Radiology Shandong Provincial HospitalCheeloo College of MedicineShandong UniversityJinanShandongChina Department of Radiology Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongChina Russell H.Morgan Department of Radiology and Radiological Science Division of Vascular and Interventional RadiologyThe Johns Hopkins HospitalBaltimoreMDUSA

Background and Aims:To investigate the impact of MR bias field correction on response determination and survival prediction using volumetric tumor enhancement analysis in patients with infiltrative hepatocellular carcinoma,after transcatheter arterial chemoembolization(TACE).Methods:This study included 101 patients treated with conventional or drug-eluting beads TACE between the years of 2001 and ***-automated 3D quantification software was used to segment and calculate the enhancing tumor volume(ETV)of the liver with and without bias-field correction on multi-phasic contrast-enhanced MRI before and 1-month after initial ***(expressed as cm3)at baseline imaging and the relative change in ETV(as%change,ETV%)before and after TACE were used to predict response and survival,*** survival analyses included Kaplan-Meier curve generation and Cox proportional hazards modeling.Q statistics were calculated and used to identify the best cut-off value for ETV to separate responders and non-responders(ETV cm3).The difference in survival was evaluated between responders and non-responders using Kaplan-Meier and Cox ***:MR bias field correction correlated with improved response calculation from baseline MR as well as survival after TACE;using a 415 cm3 cut-off for ETV at baseline(hazard ratio:2.00,95%confidence interval:1.23-3.26,p=0.01)resulted in significantly improved response prediction(median survival in patients with baseline ETV<415 cm3:19.66 months vs.≥415 cm3:9.21 months,p<0.001,log-rank test).A≥41%relative decrease in ETV(hazard ratio:0.58,95%confidence interval:0.37-0.93,p=0.02)was significant in predicting survival(ETV≥41%:19.20 months ***<41%:8.71 months,p=0.008,log-rank test).Without MR bias field correction,response from baseline ETV could be predicted but survival after TACE could ***:MR bias field correction improves both response assessment and accuracy of survival prediction using whole liver tumor enhance

关键词： 3D volume measurement Infiltrative HCC TACE Segmentation Bias field correction

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