A preoperative nomogram with MR elastography in identifying cytokeratin 19 status of hepatocellular carcinoma.

OBJECTIVES

Developing a nomogram integrating MR elastography (MRE)-based tumour stiffness and contrast-enhanced MRI in identifying cytokeratin 19 (CK19) status of hepatocellular carcinoma (HCC) preoperatively.

METHODS

One hundred twenty CK19-negative HCC and 39 CK19-positive HCC patients undergoing curative resection were prospectively evaluated. All received MRE and contrast-enhanced MRI. Clinical and MRI tumour features were compared. Univariate and multivariate logistic regression analyses identified independent predictors for CK19 status. Receiver operating characteristic curve analysis evaluated diagnostic performance. A nomogram was established with calibration and decision curve analysis.

RESULTS

Multivariate analysis revealed serum alpha fetoprotein (AFP) level (P < 0.001), targetoid appearance (P = 0.007), and tumour stiffness (P = 0.011) as independent significant variables for CK19-positive HCC. The area under the curve for tumour stiffness was 0.729 (95% confidence interval [CI] 0.653, 0.796). Combining these features, a nomogram-based model achieved an area under the curve value of 0.844 (95% CI 0.778, 0.897), with sensitivity, specificity, and accuracy of 76.92%, 85.00%, and 83.02%, respectively. Calibration and decision curve analyses demonstrated good agreement and optimal net benefit.

CONCLUSIONS

MRE-measured tumour stiffness aids in predicting CK19 status in HCC. The combined nomogram incorporating tumour stiffness, targetoid appearance, and AFP provides a reliable biomarker for CK19-positive HCC.

ADVANCES IN KNOWLEDGE

MRE-measured tumour stiffness can be used to predict CK19 status in HCC. The nomogram, which integrates tumour stiffness, targetoid appearance, and AFP levels, has shown improved diagnostic performance. It offers a comprehensive preoperative tool for clinical decision-making, further advancing personalized treatment strategies in HCC management.