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Two-year analysis for predicting renal function and contralateral hypertrophy after robot-assisted partial nephrectomy: A three-dimensional segmentation technology study

DC FieldValueLanguage
dc.contributor.author김기홍-
dc.contributor.author김대근-
dc.contributor.author나군호-
dc.contributor.author신태영-
dc.contributor.author정대철-
dc.contributor.author최영득-
dc.date.accessioned2018-03-26T17:02:52Z-
dc.date.available2018-03-26T17:02:52Z-
dc.date.issued2015-
dc.identifier.issn0919-8172-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/157109-
dc.description.abstractOBJECTIVES: To analyze long-term changes in both kidneys, and to predict renal function and contralateral hypertrophy after robot-assisted partial nephrectomy. METHODS: A total of 62 patients underwent robot-assisted partial nephrectomy, and renal parenchymal volume was calculated using three-dimensional semi-automatic segmentation technology. Patients were evaluated within 1 month preoperatively, and postoperatively at 6 months, 1 year and continued up to 2-year follow up. Linear regression models were used to identify the factors predicting variables that correlated with estimated glomerular filtration rate changes and contralateral hypertrophy 2 years after robot-assisted partial nephrectomy. RESULTS: The median global estimated glomerular filtration rate changes were -10.4%, -11.9%, and -2.4% at 6 months, 1 and 2 years post-robot-assisted partial nephrectomy, respectively. The ipsilateral kidney median parenchymal volume changes were -24%, -24.4%, and -21% at 6 months, 1 and 2 years post-robot-assisted partial nephrectomy, respectively. The contralateral renal volume changes were 2.3%, 9.6% and 12.9%, respectively. On multivariable linear analysis, preoperative estimated glomerular filtration rate was the best predictive factor for global estimated glomerular filtration rate change on 2 years post-robot-assisted partial nephrectomy (B -0.452; 95% confidence interval -0.84 to -0.14; P = 0.021), whereas the parenchymal volume loss rate (B -0.43; 95% confidence interval -0.89 to -0.15; P = 0.017) and tumor size (B 5.154; 95% confidence interval -0.11 to 9.98; P = 0.041) were the significant predictive factors for the degree of contralateral renal hypertrophy on 2 years post-robot-assisted partial nephrectomy. CONCLUSIONS: Preoperative estimated glomerular filtration rate significantly affects post-robot-assisted partial nephrectomy renal function. Renal mass size and renal parenchyma volume loss correlates with compensatory hypertrophy of the contralateral kidney. Contralateral hypertrophy of the renal parenchyma compensates for the functional loss of the ipsilateral kidney.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherBlackwell Science Asia-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF UROLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdaptation, Physiological*-
dc.subject.MESHContrast Media-
dc.subject.MESHFemale-
dc.subject.MESHFollow-Up Studies-
dc.subject.MESHGlomerular Filtration Rate-
dc.subject.MESHHumans-
dc.subject.MESHHypertrophy/diagnostic imaging-
dc.subject.MESHHypertrophy/physiopathology-
dc.subject.MESHImaging, Three-Dimensional-
dc.subject.MESHKidney/diagnostic imaging*-
dc.subject.MESHKidney/pathology*-
dc.subject.MESHKidney/physiopathology-
dc.subject.MESHKidney Neoplasms/pathology*-
dc.subject.MESHKidney Neoplasms/surgery*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNephrectomy*/methods-
dc.subject.MESHOrgan Size-
dc.subject.MESHRobotic Surgical Procedures-
dc.subject.MESHTime Factors-
dc.subject.MESHTomography, X-Ray Computed/methods-
dc.subject.MESHTumor Burden-
dc.titleTwo-year analysis for predicting renal function and contralateral hypertrophy after robot-assisted partial nephrectomy: A three-dimensional segmentation technology study-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Urology-
dc.contributor.googleauthorDae Keun Kim-
dc.contributor.googleauthorYujin Jang-
dc.contributor.googleauthorJaeseon Lee-
dc.contributor.googleauthorHelen Hong-
dc.contributor.googleauthorKi Hong Kim-
dc.contributor.googleauthorTae Young Shin-
dc.contributor.googleauthorDae Chul Jung-
dc.contributor.googleauthorYoung Deuk Choi-
dc.contributor.googleauthorKoon Ho Rha-
dc.identifier.doi10.1111/iju.12913-
dc.contributor.localIdA00343-
dc.contributor.localIdA00365-
dc.contributor.localIdA01227-
dc.contributor.localIdA02168-
dc.contributor.localIdA03592-
dc.contributor.localIdA04111-
dc.relation.journalcodeJ01169-
dc.identifier.eissn1442-2042-
dc.identifier.pmid26332540-
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1111/iju.12913/abstract-
dc.subject.keywordhypertrophy-
dc.subject.keywordkidney-
dc.subject.keywordnephrectomy-
dc.subject.keywordrobotics-
dc.subject.keywordsegmentation-
dc.contributor.alternativeNameKim, Ki Hong-
dc.contributor.alternativeNameKim, Dae Keun-
dc.contributor.alternativeNameRha, Koon Ho-
dc.contributor.alternativeNameShin, Tae Young-
dc.contributor.alternativeNameJung, Dae Chul-
dc.contributor.alternativeNameChoi, Young Deuk-
dc.contributor.affiliatedAuthorKim, Ki Hong-
dc.contributor.affiliatedAuthorKim, Dae Keun-
dc.contributor.affiliatedAuthorRha, Koon Ho-
dc.contributor.affiliatedAuthorShin, Tae Young-
dc.contributor.affiliatedAuthorJung, Dae Chul-
dc.contributor.affiliatedAuthorChoi, Young Deuk-
dc.citation.volume22-
dc.citation.number12-
dc.citation.startPage1105-
dc.citation.endPage1111-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF UROLOGY, Vol.22(12) : 1105-1111, 2015-
dc.identifier.rimsid41672-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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