Value of predicting liver failure after primary hepatocellular carcinoma resection based on two-dimensional shear wave elastography

ZHOU Tao; SUN Zhichao; CHEN Jiwen; WANG Xiaotao; CHEN Gang; LI Xinmiao

doi:10.16766/j.cnki.issn.1674-4152.003028

Volume 21 Issue 6

Jun. 2023

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Article Navigation > Chinese Journal of General Practice > 2023 > 21(6): 973-976

ZHOU Tao, SUN Zhichao, CHEN Jiwen, WANG Xiaotao, CHEN Gang, LI Xinmiao. Value of predicting liver failure after primary hepatocellular carcinoma resection based on two-dimensional shear wave elastography[J]. Chinese Journal of General Practice, 2023, 21(6): 973-976. doi: 10.16766/j.cnki.issn.1674-4152.003028

Citation:

ZHOU Tao, SUN Zhichao, CHEN Jiwen, WANG Xiaotao, CHEN Gang, LI Xinmiao. Value of predicting liver failure after primary hepatocellular carcinoma resection based on two-dimensional shear wave elastography[J]. Chinese Journal of General Practice, 2023, 21(6): 973-976. doi: 10.16766/j.cnki.issn.1674-4152.003028

Citation:

ZHOU Tao, SUN Zhichao, CHEN Jiwen, WANG Xiaotao, CHEN Gang, LI Xinmiao. Value of predicting liver failure after primary hepatocellular carcinoma resection based on two-dimensional shear wave elastography[J]. Chinese Journal of General Practice, 2023, 21(6): 973-976. doi: 10.16766/j.cnki.issn.1674-4152.003028

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Value of predicting liver failure after primary hepatocellular carcinoma resection based on two-dimensional shear wave elastography

doi: 10.16766/j.cnki.issn.1674-4152.003028

1.
Department of Radiological Interventions, Zhejiang Veterans Hospital, Jiaxing, Zhejiang 314000, China

Funds:

2020ZB091

Received Date: 2022-12-23
Available Online: 2023-08-26

Abstract

Abstract

Objective To explore the value of two-dimensional shear wave elastography (2D-SWE) in predicting liver failure after resection of primary hepatocellular carcinoma (HCC) and to help doctors judge the prognosis. Methods The clinical data of 180 patients who underwent primary hepatocellular carcinoma resection in Zhejiang Provincial Veterans ' Hospital and Zhejiang Provincial Hospital of Traditional Chinese Medicine from May 2021 to May 2022 were analyzed retrospectively. They were divided into liver failure group (35 cases) and non-liver failure group (145 cases) according to whether there was liver failure after surgery. The patients received laboratory and 2D-SWE examination before operation. Through univariate analysis and multivariate logistic regression analysis, the risk factors for predicting liver failure after primary hepatocellular carcinoma resection were screened, and their predictive value was analyzed. Results Univariate analysis showed that there were significant differences in albumin, total bilirubin, aspartate aminotransferase, γ-glutamyltransferase, prothrombin time, international standardized ratio and Child Pugh score, model for end-stage liver disease (MELD) score, tumor size, hepatic portal occlusion, and liver hardness (all P < 0.05). Multivariate logistic regression analysis showed that international standardized ratio, tumor size and liver hardness were independent risk factors for liver failure after resection of primary hepatocellular carcinoma (OR=5.078, 4.943, 5.073, all P < 0.05). The ROC curve analysis results showed that the area under the curve for predicting liver failure after primary hepatocellular carcinoma resection using international standardized ratios, tumor size, and liver hardness values were 0.791, 0.829 and 0.994, with good prediction efficiency. Conclusion The clinical value of predicting liver failure after primary hepatocellular carcinoma resection based on 2D-SWE is high. International standardized ratios of 1.01 and above, tumor sizes of 4.82 cm and above, and liver hardness values of 10.66 kPa and above are independent risk factors for liver failure after primary hepatocellular carcinoma resection.
- Primary hepatocellular carcinoma,
- Resection,
- Liver failure,
- Two dimensional shear wave elastography

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References(18)

References

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Value of predicting liver failure after primary hepatocellular carcinoma resection based on two-dimensional shear wave elastography

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