Objective: To explore the application value of ultrasound images based on radiomics in the diagnosis of liver fibrosis. Methods: SD rats were randomly divided into control and model groups. Liver fibrosis was induced in the model group by intraperitoneal injection of 40% carbon tetrachloride-olive oil suspension, while controls received equal saline. Ultrasound imaging was performed on liver sections without obvious vascular structures. After imaging, rats were euthanized and liver tissues were collected for HE staining. Pathological evaluation was conducted according to the liver fibrosis staging criteria (Prevention and Treatment Strategies for Viral Hepatitis), which served as the gold standard to validate the diagnostic efficacy of the ultrasound-based radiomics model. Radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) method, and a logistic regression model was constructed. Diagnostic performance was assessed using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results: A total of 34 rats were finally enrolled for radiomics analysis, including 28 in the model group and 6 in the control group. 477 radiomics features were extracted from each rat. After LASSO analysis, two key radiomics features were selected: X20:gray level co-occurrence matrix contrast (GLCM) and X187:small area prominent (SAE). The area under the ROC curve was 0.929(95%CI, 0.843-1), the sensitivity was 0.929(95%CI, 0.833-1), the specificity was 0.800(95%CI, 0.552-1), the positive predictive value was 0.929(95%CI, 0.833-1), the negative predictive value was 0.800(95%CI, 0.552-1), and the F1 score was 0.929. Conclusion: The ultrasound radiomics model has a good fit between the predicted probability and the actual probability of liver fibrosis, and has the potential for clinical application.
FEN Yajing
,
BA Gelong
,
YAN Guozhen
. Experimental study of ultrasonic radiomics on liver fibrosis in rats[J]. Journal of Baotou Medical College, 2026
, 42(3)
: 50
-54
.
DOI: 10.16833/j.cnki.jbmc.2026.03.010
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