ArticleWorld journal of gastrointestinal oncology2019
Multi-parameter ultrasound based on the logistic regression model in the differential diagnosis of hepatocellular adenoma and focal nodular hyperplasia.
Article in World journal of gastrointestinal oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 2 citations in OpenAlex.
- Fusion of Cognitive Information: Evaluation and Evolution Method of Product Image Form.Computational intelligence and neuroscience · 2021Article
- A study of the clinical application value of ultrasound and electrocardiogram in the differential diagnosis of cardiomyopathy.American journal of translational research · 2021Article
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundFocal 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.
aimTo analyze the value of multi-parameter ultrasound index based on logistic regression for the differential diagnosis of HCA and FNH.
methodsThirty-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.
resultsMultivariate logistic regression analysis showed that lesion echo (
conclusionThe combination of lesion echo, YM value and TIC decreasing slope can accurately differentiate between HCA and FNH.
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