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Evaluation and Prediction of Post-Hepatectomy Liver Failure Using Imaging Techniques: Value of Gadoxetic Acid-Enhanced Magnetic Resonance Imaging

  • Keitaro Sofue (Department of Radiology, Kobe University Graduate School of Medicine) ;
  • Ryuji Shimada (Center for Radiology and Radiation Oncology, Kobe University Hospital) ;
  • Eisuke Ueshima (Department of Radiology, Kobe University Graduate School of Medicine) ;
  • Shohei Komatsu (Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine) ;
  • Takeru Yamaguchi (Department of Radiology, Kobe University Graduate School of Medicine) ;
  • Shinji Yabe (Department of Radiology, Kobe University Graduate School of Medicine) ;
  • Yoshiko Ueno (Department of Radiology, Kobe University Graduate School of Medicine) ;
  • Masatoshi Hori (Department of Radiology, Kobe University Graduate School of Medicine) ;
  • Takamichi Murakami (Department of Radiology, Kobe University Graduate School of Medicine)
  • 투고 : 2023.05.29
  • 심사 : 2023.10.07
  • 발행 : 2024.01.01

초록

Despite improvements in operative techniques and perioperative care, post-hepatectomy liver failure (PHLF) remains the most serious cause of morbidity and mortality after surgery, and several risk factors have been identified to predict PHLF. Although volumetric assessment using imaging contributes to surgical simulation by estimating the function of future liver remnants in predicting PHLF, liver function is assumed to be homogeneous throughout the liver. The combination of volumetric and functional analyses may be more useful for an accurate evaluation of liver function and prediction of PHLF than only volumetric analysis. Gadoxetic acid is a hepatocyte-specific magnetic resonance (MR) contrast agent that is taken up by hepatocytes via the OATP1 transporter after intravenous administration. Gadoxetic acid-enhanced MR imaging (MRI) offers information regarding both global and regional functions, leading to a more precise evaluation even in cases with heterogeneous liver function. Various indices, including signal intensity-based methods and MR relaxometry, have been proposed for the estimation of liver function and prediction of PHLF using gadoxetic acid-enhanced MRI. Recent developments in MR techniques, including high-resolution hepatobiliary phase images using deep learning image reconstruction and whole-liver T1 map acquisition, have enabled a more detailed and accurate estimation of liver function in gadoxetic acid-enhanced MRI.

키워드

참고문헌

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