MR-based Measurements of Portal Vein Flow and Liver Stiffness for Predicting Gastroesophageal Varices
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概要
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Objectives: We evaluated flow parameters measured by phase-contrast magnetic resonance (MR) imaging (PC-MRI) of the portal venous system and liver stiffness measured by MR elastography (MRE) to determine the usefulness of these methods in predicting gastroesophageal varices (GEV) in patients with chronic liver disease (CLD). Methods: In patients with CLD and controls, we performed PC-MRI on the portal (PV) and superior mesenteric veins; calculated mean velocity (V, cm/s), cross-sectional area (S, mm2), and flow volume (Q, mL/min); and determined markers of liver fibrosis (liver stiffness [kPa]) and aspartate aminotransferase (AST) platelet ratio index [APRI]). We visually assessed GEV and development of collateral pathways of the PV on routine contrast-enhanced dynamic MR imaging and compared patient characteristics, flow parameters, liver stiffness markers, and visual analysis among 3GEV groups, those with mild, severe, or no GEV with reference to endoscopic findings. Results: Child-Pugh grade, VPV, SPV, liver stiffness, APRI, and visually identified GEV (visible GEV) differed significantly among the 3 groups (P<0.05). We investigated VPV, SPV, liver stiffness, and visible GEV as independent markers to distinguish patients with and without GEV and examined VPV and visible GEV to predict severe GEV. Visible GEV showed low sensitivity (14 to 30%) and high specificity (98%) for predicting GEV in patients with CLD. A subgroup analysis that excluded cases with collateral pathway demonstrated slightly improved diagnostic performance of VPV and liver stiffness. Conclusions: Portal vein flow parameters and liver stiffness can be useful markers for predicting GEV in patients with CLD.
著者
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MOTOSUGI Utaroh
Department of Pathology, Saitama International Medical Center, Saitama Medical University
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Enomoto Nobuyuki
First Department Of Internal Medicine Faculty Of Medicine University Of Yamanashi
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Sano Katsuhiro
Department Of Neurological Surgery Niigata Rosai Hospital
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Araki Tsutomu
Department Of Applied Physics Faculty Of Engineering Osaka University
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Ichikawa Tomoaki
Department Of Radiology School Of Medicine Kyorin University
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MORISAKA Hiroyuki
Department of Radiology, University of Yamanashi
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ICHIKAWA Shintaro
Department of Radiology, University of Yamanashi
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