World Journal of Gastroenterology · 2019 · 24 citations · 11 references
MedicineOncologyRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyHepatobiliary ImagingLiver DiseaseLiver ImagingMagnetic Resonance ImagingMedical ImagingTumor ImagingDiagnostic Accuracy StudiesDiagnostic EfficiencyDiffusion-weighted ContrastHepatocellular Carcinoma ImagingInstitutional Review Board ApprovalLiver Lesion DetectionLiver Tumor DetectionLiver Tumor Imaging
BACKGROUND: The Liver Imaging Reporting and Data System (LI-RADS), supported by the American College of Radiology (ACR), has been developed for standardizing the acquisition, interpretation, reporting, and data collection of liver imaging examinations in patients at risk for hepatocellular carcinoma (HCC). Diffusion-weighted imaging (DWI), which is described as an ancillary imaging feature of LI-RADS, can improve the diagnostic efficiency of LI-RADS v2017 with gadoxetic acid-enhanced magnetic resonance imaging (MRI) for HCC. AIM: To determine whether the use of DWI can improve the diagnostic efficiency of LI-RADS v2017 with gadoxetic acid-enhanced magnetic resonance MRI for HCC. METHODS: In this institutional review board-approved study, 245 observations of high risk of HCC were retrospectively acquired from 203 patients who underwent gadoxetic acid-enhanced MRI from October 2013 to April 2018. Two readers independently measured the maximum diameter and recorded the presence of each lesion and assigned scores according to LI-RADS v2017. The test was used to determine the agreement between the two readers with or without DWI. In addition, the sensitivity (SE), specificity (SP), accuracy (AC), positive predictive value (PPV), and negative predictive value (NPV) of LI-RADS were calculated. Youden index values were used to compare the diagnostic performance of LI-RADS with or without DWI. RESULTS: 0.647. CONCLUSION: LI-RADS v2017 has been successfully applied with gadoxetate-enhanced MRI for patients at high risk for HCC. The addition of DWI significantly increases the diagnostic efficiency for HCC.
11
Theodora A. Potretzke, Benjamin Tan, Maria B. Majella Doyle et al. · American Journal of Roentgenology · 2016 · 110 citations · Full text
Masakatsu Tsurusaki, Keitaro Sofue, Hiroyoshi Isoda et al. · Journal of Gastroenterology · 2015 · 52 citations