Work

Multi-parameter ultrasound based on the logistic regression model in the differential diagnosis of hepatocellular adenoma and focal nodular hyperplasia

Year: 2019

Type: article

Abstract: BACKGROUND: Focal nodular hyperplasia (FNH) has very low potential risk, and a tendency to spontaneously resolve. Hepatocellular adenoma (HCA) has a certain malignant tendency, and its prognosis is significantly different from FNH. Accurate identification of HCA and FNH is critical for clinical treatment. AIM: To analyze the value of multi-parameter ultrasound index based on logistic regression for the differential diagnosis of HCA and FNH. METHODS: Thirty-one patients with HCA were included in the HCA group. Fifty patients with FNH were included in the FNH group. The clinical data were collected and recorded in the two groups. Conventional ultrasound, shear wave elastography, and contrast-enhanced ultrasound were performed, and the lesion location, lesion echo, Young's modulus (YM) value, YM ratio, and changes of time intense curve (TIC) were recorded. Multivariate logistic regression analysis was used to screen the indicators that can be used for the differential diagnosis of HCA and FNH. A ROC curve was established for the potential indicators to analyze the accuracy of the differential diagnosis of HCA and FNH. The value of the combined indicators for distinguishing HCA and FNH were explored. RESULTS: < 0.05). This sensitivity was 91.23%, and the specificity was 83.33%. CONCLUSION: The combination of lesion echo, YM value and TIC decreasing slope can accurately differentiate between HCA and FNH.

Source: World Journal of Gastrointestinal Oncology

DOI: 10.4251/wjgo.v11.i12.1193