Background & Aims: Better surveillance tests for hepatocellular carcinoma (HCC) are needed. The GALAD score (gender, age, α-fetoprotein [AFP] L3, AFP, and des-γ carboxyprothrombin) has been shown to have excellent sensitivity and specificity for HCC in phase 2 studies. We performed a phase 3 biomarker validation study to compare GALAD with AFP in detecting HCC.
View Article and Find Full Text PDFIntroduction: Indeterminate liver nodules (ILNs) are frequently encountered on diagnostic imaging after positive hepatocellular carcinoma (HCC) surveillance results, but their natural history remains unclear.
Methods: We conducted a multicenter retrospective cohort study among patients with ≥1 newly detected LI-RADS 3 (LR-3) lesion ≥1 cm or LI-RADS 4 (LR-4) lesion of any size (per LI-RADS v2018) between January 2018 and December 2019. Patients were followed with repeat imaging at each site per institutional standard of care.
Background & Aims: Worldwide, hepatocellular carcinoma (HCC) is a common malignancy. We aimed to prospectively determine the incidence and risk factors of HCC in a U.S.
View Article and Find Full Text PDFPurpose: Pancreatogenic diabetes refers to diabetes mellitus (DM) that develops in the setting of a disease of the exocrine pancreas, including pancreatic ductal adenocarcinoma (PDAC) and chronic pancreatitis (CP). We sought to evaluate whether a blunted nutrient response of pancreatic polypeptide (PP) can differentiate these DM subtypes from type 2 DM (T2DM).
Methods: Subjects with new-onset DM (<3 years' duration) in the setting of PDAC (PDAC-DM, n = 28), CP (CP-DM, n = 38), or T2DM (n = 99) completed a standardized mixed meal tolerance test, then serum PP concentrations were subsequently measured at a central laboratory.
Background: New-onset diabetes (NOD) has been suggested as an early indicator of pancreatic cancer. However, the definition of NOD by the American Diabetes Association requires 2 simultaneous or consecutive elevated glycemic measures. We aimed to apply a machine-learning approach using electronic health records to predict the risk in patients with recent-onset hyperglycemia.
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