ArticleWorld journal of gastrointestinal surgery2021
Model for liver hardness using two-dimensional shear wave elastography, durometer, and preoperative biomarkers.
Article in World journal of gastrointestinal surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Perfusion-induced renal hardness measured by Shore durometer: a novel, low-cost biomarker of donor kidney quality.Renal failure · 2025Article
- Role of two-dimensional shear wave elastography in predicting post-hepatectomy liver failure: A step forwards in hepatic surgery.World journal of gastrointestinal surgery · 2025Article
- Current status of preoperative risk assessment for posthepatectomy liver failure in patients with hepatocellular carcinoma.Annals of gastroenterological surgery · 2023Review
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPost-hepatectomy liver failure (PHLF) increases morbidity and mortality after liver resection for patients with advanced liver fibrosis and cirrhosis. Preoperative liver stiffness using two-dimensional shear wave elastography (2D-SWE) is widely used to evaluate the degree of fibrosis. However, the 2D-SWE results were not accurate. A durometer measures hardness by quantifying the ability of a material to locally resist the intrusion of hard objects into its surface. However, the durometer score can only be obtained during surgery.
aimTo measure correlations among 2D-SWE, palpation by surgeons, and durometer-measured objective liver hardness and to construct a liver hardness regression model.
methodsWe enrolled 74 hepatectomy patients with liver hardness in a derivation cohort. Tactile-based liver hardness scores (0-100) were determined through palpation of the liver tissue by surgeons. Additionally, liver hardness was measured using a durometer. Correlation coefficients for durometer-measured hardness and preoperative parameters were calculated. Multiple linear regression models were constructed to select the best predictive durometer scale. Receiver operating characteristic (ROC) curves and univariate and multivariate analyses were used to calculate the best model's prediction of PHLF and risk factors for PHLF, respectively. A separate validation cohort (
resultsThe stiffness measured using 2D-SWE and palpation scale had good linear correlation with durometer-measured hardness (Pearson rank correlation coefficient 0.704 and 0.729, respectively,
conclusionLiver stiffness assessed by 2D-SWE and palpation correlated well with durometer hardness values. The multiple linear regression model predicted durometer hardness values and PHLF.
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