Ontology type: schema:ScholarlyArticle
2019-01-05
AUTHORSJi-Eun Kim, Jung Hoon Kim, Sang Joon Park, Seo-Youn Choi, Nam-Joon Yi, Joon Koo Han
ABSTRACTPURPOSE: To predict the rate of liver regeneration after living donor liver transplantation (LDLT) using pre-operative computed tomography (CT) texture analysis. MATERIALS AND METHODS: 112 living donors who performed right hepatectomy for LDLT were included retrospectively. We measured the volume of future remnant liver (FLR) on pre-operative CT and the volume of remnant liver (LR) on follow-up CT, taken at a median of 123 days after transplantation. The regeneration index (RI) was calculated using the following equation: [Formula: see text]. Computerized texture analysis of the semi-automatically segmented FLR was performed. We used a stepwise, multivariable linear regression to assess associations of clinical features and texture parameters in relation to RI and to make the best-fit predictive model. RESULTS: The mean RI was 110.7 ± 37.8%, highly variable ranging from 22.4% to 247.0%. Among texture parameters, volume of FLR, standard deviation, variance, and gray level co-occurrence matrices (GLCM) contrast were found to have significant correlations between RI. In multivariable analysis, smaller volume of FLR (ß - 0.17, 95% CI - 0.22 to - 0.13) and lower GLCM contrast (ß - 1.87, 95% CI - 3.64 to - 0.10) were associated with higher RI. The regression equation predicting RI was following: RI = 203.82 + 10.42 × pre-operative serum total bilirubin (mg/dL) - 0.17 × VFLR (cm3) - 1.87 × GLCM contrast (× 100). CONCLUSION: Volume of FLR and GLCM contrast were independent predictors of RI, showing significant negative correlations. Pre-operative CT with texture analysis can be useful for predicting the rate of liver regeneration in living donor of liver transplantation. More... »
PAGES1-10
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DOIhttp://dx.doi.org/10.1007/s00261-018-01892-2
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"description": "PURPOSE: To predict the rate of liver regeneration after living donor liver transplantation (LDLT) using pre-operative computed tomography (CT) texture analysis.\nMATERIALS AND METHODS: 112 living donors who performed right hepatectomy for LDLT were included retrospectively. We measured the volume of future remnant liver (FLR) on pre-operative CT and the volume of remnant liver (LR) on follow-up CT, taken at a median of 123\u00a0days after transplantation. The regeneration index (RI) was calculated using the following equation: [Formula: see text]. Computerized texture analysis of the semi-automatically segmented FLR was performed. We used a stepwise, multivariable linear regression to assess associations of clinical features and texture parameters in relation to RI and to make the best-fit predictive model.\nRESULTS: The mean RI was 110.7\u2009\u00b1\u200937.8%, highly variable ranging from 22.4% to 247.0%. Among texture parameters, volume of FLR, standard deviation, variance, and gray level co-occurrence matrices (GLCM) contrast were found to have significant correlations between RI. In multivariable analysis, smaller volume of FLR (\u00df -\u20090.17, 95% CI -\u20090.22 to -\u20090.13) and lower GLCM contrast (\u00df -\u20091.87, 95% CI -\u20093.64 to -\u20090.10) were associated with higher RI. The regression equation predicting RI was following: RI\u2009=\u2009203.82\u2009+\u200910.42\u2009\u00d7\u2009pre-operative serum total bilirubin (mg/dL) -\u20090.17\u2009\u00d7\u2009VFLR (cm3)\u2009-\u20091.87\u2009\u00d7\u2009GLCM contrast (\u00d7\u2009100).\nCONCLUSION: Volume of FLR and GLCM contrast were independent predictors of RI, showing significant negative correlations. Pre-operative CT with texture analysis can be useful for predicting the rate of liver regeneration in living donor of liver transplantation.",
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