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To evaluate the diagnostic accuracy of liver imaging reporting and data system (LI-RADS) with contrast-enhanced ultrasound (CEUS) for patients at risk for hepatocellular carcinoma with hepatic nodules (≤2cm). We retrospectively evaluated 56 CEUS exam records of hepatic nodules (≤2cm) performed between January 2015 and July 2016 at West China hospital. Each nodule was classified into a LI-RADS-CEUS category by two radiologists according to imaging features. The ultimate CEUS categories were then compared with pathological reports and their correlation was then calculated. Inter-observer agreement for LI-RADS between reader A and B was κ, 0.690, illustrating good consistency. The diagnostic accuracy of LR-5 on hepatocellular carcinoma (HCC) was 86.49% but 11.11% for LR-M. LI-RADS-CEUS is a potential standardized categorization system for high-risk HCC patients but might also increase the false-negative diagnosis of nodules of less than 2cm.

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a b s t r a c tNovel nano-sized dummy-surface molecularly imprinted polymers (DSMIPs) on a magnetic graphene oxide (GO-Fe 3 O 4 ) surface were developed as substrates, using propionamide as a dummy template molecule for the selective recognition and rapid pre-concentration and removal of acrylamide (AM) from food samples. These products showed rapid kinetics, high binding capacity (adsorption at 3.68 mgÁg À1 ), and selectivity (imprinting factor a 2.83); the adsorption processes followed the Langmuir-Freundlich isotherm and pseudo-second-order kinetic models. Excellent recognition selectivity toward acrylamide was achieved compared to structural analogs, such as propionic and acrylic acids (selectivity factor b 2.33, and 2.20, respectively). Moreover, DSMIPs-GO-Fe 3 O 4 was used to quantify acrylamide in food samples, yielding satisfactory recovery (86.7-94.3%) and low relative standard deviation (<4.85%). Thus, our DSMIPs-GO-Fe 3 O 4 -based procedure was demonstrated to be a convenient and practical method for the separation, enrichment, and removal of acrylamide from food samples.

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