Prediction of liver remnant regeneration after living donor liver transplantation using preoperative CT texture analysis
DC Field | Value | Language |
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dc.contributor.author | Kim, Ji-Eun | - |
dc.contributor.author | Kim, Jung Hoon | - |
dc.contributor.author | Park, Sang Joon | - |
dc.contributor.author | Choi, Seo-Youn | - |
dc.contributor.author | Yi, Nam-Joon | - |
dc.contributor.author | Han, Joon Koo | - |
dc.date.accessioned | 2021-08-11T09:44:07Z | - |
dc.date.available | 2021-08-11T09:44:07Z | - |
dc.date.issued | 2019-05 | - |
dc.identifier.issn | 2366-004X | - |
dc.identifier.issn | 2366-0058 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/4561 | - |
dc.description.abstract | PurposeTo predict the rate of liver regeneration after living donor liver transplantation (LDLT) using pre-operative computed tomography (CT) texture analysis.Materials and methods112 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 123days after transplantation. The regeneration index (RI) was calculated using the following equation: [(VLR-VFLR)/VFLR]<100. 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.ResultsThe mean RI was 110.737.8%, 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 (beta -0.17, 95% CI -0.22 to -0.13) and lower GLCM contrast (beta -1.87, 95% CI -3.64 to -0.10) were associated with higher RI. The regression equation predicting RI was following: RI=203.82+10.42xpre-operative serum total bilirubin (mg/dL) -0.17xV(FLR) (cm(3))-1.87xGLCM contrast (x100).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. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer New York | - |
dc.title | Prediction of liver remnant regeneration after living donor liver transplantation using preoperative CT texture analysis | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1007/s00261-018-01892-2 | - |
dc.identifier.scopusid | 2-s2.0-85059511602 | - |
dc.identifier.wosid | 000467681200013 | - |
dc.identifier.bibliographicCitation | Abdominal Radiology, v.44, no.5, pp 1785 - 1794 | - |
dc.citation.title | Abdominal Radiology | - |
dc.citation.volume | 44 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1785 | - |
dc.citation.endPage | 1794 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | CELL LUNG-CANCER | - |
dc.subject.keywordPlus | COMPUTED-TOMOGRAPHY | - |
dc.subject.keywordPlus | TUMOR HETEROGENEITY | - |
dc.subject.keywordPlus | PARTIAL-HEPATECTOMY | - |
dc.subject.keywordPlus | VOLUMETRIC-ANALYSIS | - |
dc.subject.keywordPlus | COMPLICATIONS | - |
dc.subject.keywordPlus | RESECTION | - |
dc.subject.keywordPlus | SAFETY | - |
dc.subject.keywordAuthor | Liver | - |
dc.subject.keywordAuthor | Liver transplantation | - |
dc.subject.keywordAuthor | Tissue Donor | - |
dc.subject.keywordAuthor | Regeneration | - |
dc.subject.keywordAuthor | Tomography | - |
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