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Updated: Nov 21, 2025

Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH
Published on: April 20, 2021
2D shear wave elastography is better than transient elastography in predicting post-hepatectomy complication after
Dong Ho Lee1,2, Eun Sun Lee3,4, Jae Seok Bae1
1Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongno-gu, Seoul, 03080, South Korea.
Two-dimensional shear wave elastography (2D-SWE) is a superior method for predicting severe post-hepatectomy complications compared to transient elastography (TE). 2D-SWE demonstrated higher accuracy in assessing liver fibrosis and predicting complications.
Area of Science:
- Hepatology
- Medical Imaging
- Surgical Outcomes
Background:
- Transient elastography (TE) and 2D shear wave elastography (2D-SWE) are established methods for evaluating liver fibrosis.
- Accurate assessment of liver fibrosis is crucial for predicting post-surgical outcomes.
Purpose of the Study:
- To evaluate the diagnostic performance of 2D-SWE in predicting post-hepatectomy complications.
- To compare the predictive capabilities of 2D-SWE with TE for post-hepatectomy complications.
Main Methods:
- 125 patients undergoing liver tumor resection were prospectively enrolled.
- Liver stiffness (LS) was measured using TE and 2D-SWE pre-operatively.
- Post-operative complications were assessed using the Comprehensive Complication Index (CCI), with CCI ≥ 26.2 defining severe complications.
Main Results:
- 2D-SWE showed significantly higher diagnostic performance than TE in detecting liver fibrosis (≥F3 and F4).
- LS measured by 2D-SWE was a significant predictor of severe post-hepatectomy complications (OR: 1.27 per kPa, p=0.001).
- The area under the curve (AUC) for 2D-SWE in predicting severe complications was 0.854, significantly higher than TE's AUC of 0.692 (p=0.004).
Conclusions:
- 2D-SWE is a valuable tool for predicting severe complications after hepatic resection.
- 2D-SWE offers superior diagnostic performance compared to TE for assessing liver fibrosis and predicting post-hepatectomy complications.
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