Related Experiment Video
Updated: Jan 9, 2026

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
Quantitative Assessment of Peritumoral Stiffness Using Shell Elastography Enhances the Differentiation of
Objectives:
To evaluate the discriminatory potential of peritumoral tissue stiffness, as quantified by 2-dimensional shear wave elastography, for distinguishing between hepatocellular carcinoma (HCC) and metastatic liver carcinoma (MLC).
Methods:
This study enrolled 31 patients with HCC and 42 with MLC. The mean Young's modulus (E) value was measured to evaluate the intratumoral and peritumoral stiffness of HCC and MLC by using the 2-dimensional shear wave elastography integrated with the shell measurement function. The intratumoral stiffness and the peritumoral stiffness within the 1-, 2-, and 3-mm shells surrounding the target lesion were labeled as E, Eshell1, Eshell2, and Eshell3, respectively. The discriminatory capacity of the E and Eshell parameters to distinguish HCC from MLC was assessed by generating receiver operating characteristic curves.
Results:
The Eshell1, Eshell2, and Eshell3 values in patients with HCC were higher than those with MLC, whereas the E values in patients with HCC were lower than those with MLC (p < .05). In addition, the Eshell1, Eshell2, Eshell3, and E values showed good diagnostic performance in differentiating HCC from MLC. Among them, Eshell1 had better diagnostic performance, with a specificity, sensitivity, positive predictive value, and negative predictive value of 64, 88, 59, and 90%, respectively (cut-off value, 19.84 kPa; area under the receiver operating characteristic curve, 0.763).
Conclusions:
Quantitative assessment of peritumoral stiffness, particularly within a precisely defined 1-mm shell using advanced shell elastography, significantly enhances the differentiation of HCC from MLC.

