Matches in SemOpenAlex for { <https://semopenalex.org/work/W2064095964> ?p ?o ?g. }
- W2064095964 endingPage "429" @default.
- W2064095964 startingPage "423" @default.
- W2064095964 abstract "No AccessJournal of UrologyAdult Urology1 Feb 2015A Novel Mathematical Model to Predict the Severity of Postoperative Functional Reduction before Partial Nephrectomy: The Importance of Calculating Resected and Ischemic Volume Tae Young Shin, Christos Komninos, Dong Wook Kim, Keum Sook So, Ki Seok Bang, Heon-Jae Jeong, Woong Kyu Han, Sung Jun Hong, Byung Ha Jung, Sey Kiat Lim, Sang Kon Lee, Won Ki Lee, and Koon Ho Rha Tae Young ShinTae Young Shin Department of Urology, Chuncheon Sacred Hospital, College of Medicine, Hallym University, Chuncheon, Republic of Korea More articles by this author , Christos KomninosChristos Komninos Department of Urology, General Hospital of Nikaia St. Panteleimon, Athens, Greece More articles by this author , Dong Wook KimDong Wook Kim Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author , Keum Sook SoKeum Sook So Department of Mathematics, Hallym University, Chuncheon, Republic of Korea More articles by this author , Ki Seok BangKi Seok Bang College of General Education, Hallym University, Chuncheon, Republic of Korea More articles by this author , Heon-Jae JeongHeon-Jae Jeong Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland More articles by this author , Woong Kyu HanWoong Kyu Han Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author , Sung Jun HongSung Jun Hong Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author , Byung Ha JungByung Ha Jung Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author , Sey Kiat LimSey Kiat Lim Department of Urology, Changi General Hospital, Singapore More articles by this author , Sang Kon LeeSang Kon Lee Department of Urology, Chuncheon Sacred Hospital, College of Medicine, Hallym University, Chuncheon, Republic of Korea More articles by this author , Won Ki LeeWon Ki Lee Department of Urology, Chuncheon Sacred Hospital, College of Medicine, Hallym University, Chuncheon, Republic of Korea More articles by this author , and Koon Ho RhaKoon Ho Rha Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.07.084AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: Preoperatively predicting postoperative kidney function is an essential step to achieve improved renal function and prevent chronic kidney disease. We introduce a novel formula especially to calculate resected and ischemic volume before partial nephrectomy. We examined whether resected and ischemic volume would have value for predicting postoperative renal function. Materials and Methods: We performed a retrospective cohort study in 210 patients who underwent robotic partial nephrectomy between September 2006 and October 2013 at a tertiary cancer care center. Based on abdominopelvic computerized tomography and magnetic resonance imaging we calculated resected and ischemic volume by the novel mathematical formula using integral calculus. We comparatively analyzed resected and ischemic volume, and current nephrometry systems to determine the degree of association and predictability regarding the severity of the postoperative functional reduction. Results: On multivariable analysis resected and ischemic volume showed a superior association with the absolute change in estimated glomerular filtration rate/percent change in estimated glomerular filtration rate (B = 6.5, p = 0.005/B = 6.35, p = 0.009). The ROC AUC revealed accurate predictability of resected and ischemic volume on the stratified event of an absolute change in estimated glomerular filtration rate/event of percent change in estimated glomerular filtration rate compared to 3 representative nephrometry systems. The calibration plot of this model was excellent (close to the 45-degree line) within the whole range of predicted probabilities. Conclusions: We report a method of preoperatively calculating resected and ischemic volume with a novel formula. This method has superior correlation with the absolute and percent change in estimated glomerular filtration rate compared to current nephrometry systems. The predictive model achieved a strong correlation for the absolute and percent change in estimated glomerular filtration rate. References 1 : Rising incidence of renal cell cancer in the United States. JAMA1999; 281: 1628. Crossref, Medline, Google Scholar 2 : The results of radical nephrectomy for renal cell carcinoma. J Urol1969; 101: 297. Link, Google Scholar 3 : Chronic kidney disease after nephrectomy in patients with renal cortical tumours: a retrospective cohort study. Lancet Oncol2006; 7: 735. Google Scholar 4 : Long-term survival following partial vs radical nephrectomy among older patients with early-stage kidney cancer. JAMA2012; 307: 1629. Google Scholar 5 : Nephron sparing surgery for appropriately selected renal cell carcinoma between 4 and 7 cm results in outcome similar to radical nephrectomy. J Urol2004; 171: 1066. Link, Google Scholar 6 : Off-clamp robot-assisted partial nephrectomy preserves renal function: a multi-institutional propensity score analysis. Eur Urol2013; 64: 988. Google Scholar 7 : Comparison of selective parenchymal clamping to hilar clamping during robotic-assisted laparoscopic partial nephrectomy. Urology2014; 83: 339. Google Scholar 8 : Near-infrared fluorescence imaging: emerging applications in robotic upper urinary tract surgery. Eur Urol2014; 65: 793. Google Scholar 9 : Factors influencing renal function reduction after partial nephrectomy. J Urol2009; 181: 48. Link, Google Scholar 10 : Functional recovery after partial nephrectomy: effects of volume loss and ischemic injury. J Urol2012; 187: 1667. Link, Google Scholar 11 : Correlation between loss of renal function and loss of renal volume after partial nephrectomy for tumor in a solitary kidney. J Urol2008; 179: 1284. Link, Google Scholar 12 : Temporary renal ischemia during nephron sparing surgery is associated with short-term but not long-term impairment in renal function. J Urol2006; 176: 1339. Link, Google Scholar 13 : Comparison of cold and warm ischemia during partial nephrectomy in 660 solitary kidneys reveals predominant role of nonmodifiable factors in determining ultimate renal function. J Urol2011; 185: 421. Link, Google Scholar 14 : The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth. J Urol2009; 182: 844. Link, Google Scholar 15 : Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery. Eur Urol2009; 56: 786. Google Scholar 16 : Kidney tumor location measurement using the C index method. J Urol2010; 183: 1708. Link, Google Scholar 17 : A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med1999; 130: 461. Google Scholar 18 : “Zero ischemia” partial nephrectomy: novel laparoscopic and robotic technique. Eur Urol2011; 59: 128. Google Scholar 19 : Assessing the impact of ischaemia time during partial nephrectomy. Eur Urol2009; 56: 625. Google Scholar 20 : The impact of ischemia time during open nephron sparing surgery on solitary kidneys: a multi-institutional study. J Urol2007; 177: 471. Link, Google Scholar 21 : Every minute counts when the renal hilum is clamped during partial nephrectomy. Eur Urol2010; 58: 340. Google Scholar 22 : Renal function after partial nephrectomy: effect of warm ischemia relative to quantity and quality of preserved kidney. Urology2012; 79: 356. Google Scholar 23 : Parenchymal volume preservation and ischemia during partial nephrectomy: functional and volumetric analysis. Urology2013; 82: 263. Google Scholar 24 : Association between warm ischemia time and renal parenchymal atrophy after partial nephrectomy. J Urol2013; 189: 1638. Link, Google Scholar 25 : Prediction of postoperative renal function by preoperative serum creatinine level and three-dimensional diagnostic image reconstruction in patients with renal cell carcinoma. Urology2004; 64: 904. Google Scholar 26 : Prediction of residual total renal function before nephron-sparing surgery using99mTc-DMSA renal scintigraphy. Clin Exp Nephrol1998; 2: 245. Google Scholar 27 : “Trifecta” in partial nephrectomy. J Urol2013; 189: 36. Link, Google Scholar 28 : Off-clamp versus complete hilar control laparoscopic partial nephrectomy: comparison by clinical stage. BJU Int2012; 109: 1376. Google Scholar 29 : National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Ann Intern Med2003; 139: 137. Google Scholar © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byShin T, Raheem A and Rha K (2018) Re: A Mathematical Method to Calculate Tumor Contact Surface Area: An Effective Parameter to Predict Renal Function after Partial NephrectomyJournal of Urology, VOL. 197, NO. 1, (262-263), Online publication date: 1-Jan-2017.Hsieh P, Wang Y, Huang C, Wu H, Yang C, Chen G and Chang C (2018) A Mathematical Method to Calculate Tumor Contact Surface Area: An Effective Parameter to Predict Renal Function after Partial NephrectomyJournal of Urology, VOL. 196, NO. 1, (33-40), Online publication date: 1-Jul-2016. Volume 193Issue 2February 2015Page: 423-429Supplementary Materials Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.Keywordsnephrectomymathematicsglomerular filtration ratekidney neoplasmsprognosisAcknowledgmentsDrs. Myung Jin Choi, Department of Internal Medicine and Dr. Cheol Ho Kim, Department of Urology, Chuncheon Sacred Hospital, Hallym University College of Medicine, Chuncheon, Dong-Su Jang, Medical Research Support Section, Yonsei University College of Medicine, Seoul, Korea, and P.J. Ordanza assisted with nephrology, statistical analysis and figures.MetricsAuthor Information Tae Young Shin Department of Urology, Chuncheon Sacred Hospital, College of Medicine, Hallym University, Chuncheon, Republic of Korea More articles by this author Christos Komninos Department of Urology, General Hospital of Nikaia St. Panteleimon, Athens, Greece More articles by this author Dong Wook Kim Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author Keum Sook So Department of Mathematics, Hallym University, Chuncheon, Republic of Korea More articles by this author Ki Seok Bang College of General Education, Hallym University, Chuncheon, Republic of Korea More articles by this author Heon-Jae Jeong Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland More articles by this author Woong Kyu Han Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author Sung Jun Hong Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author Byung Ha Jung Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author Sey Kiat Lim Department of Urology, Changi General Hospital, Singapore More articles by this author Sang Kon Lee Department of Urology, Chuncheon Sacred Hospital, College of Medicine, Hallym University, Chuncheon, Republic of Korea More articles by this author Won Ki Lee Department of Urology, Chuncheon Sacred Hospital, College of Medicine, Hallym University, Chuncheon, Republic of Korea More articles by this author Koon Ho Rha Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea More articles by this author Expand All Advertisement PDF downloadLoading ..." @default.
- W2064095964 created "2016-06-24" @default.
- W2064095964 creator A5000253151 @default.
- W2064095964 creator A5010608659 @default.
- W2064095964 creator A5021387889 @default.
- W2064095964 creator A5042364551 @default.
- W2064095964 creator A5045566016 @default.
- W2064095964 creator A5047898313 @default.
- W2064095964 creator A5051361744 @default.
- W2064095964 creator A5052570003 @default.
- W2064095964 creator A5063537781 @default.
- W2064095964 creator A5072454919 @default.
- W2064095964 creator A5080064863 @default.
- W2064095964 creator A5088050729 @default.
- W2064095964 creator A5090779771 @default.
- W2064095964 date "2015-02-01" @default.
- W2064095964 modified "2023-10-18" @default.
- W2064095964 title "A Novel Mathematical Model to Predict the Severity of Postoperative Functional Reduction before Partial Nephrectomy: The Importance of Calculating Resected and Ischemic Volume" @default.
- W2064095964 cites W1652199940 @default.
- W2064095964 cites W1967917964 @default.
- W2064095964 cites W1993741366 @default.
- W2064095964 cites W2006058699 @default.
- W2064095964 cites W2022996679 @default.
- W2064095964 cites W2041150263 @default.
- W2064095964 cites W2050134702 @default.
- W2064095964 cites W2054438741 @default.
- W2064095964 cites W2055864845 @default.
- W2064095964 cites W2057583407 @default.
- W2064095964 cites W2062223975 @default.
- W2064095964 cites W2070134039 @default.
- W2064095964 cites W2077467923 @default.
- W2064095964 cites W2078234387 @default.
- W2064095964 cites W2091353551 @default.
- W2064095964 cites W2094515464 @default.
- W2064095964 cites W2104148749 @default.
- W2064095964 cites W2117666792 @default.
- W2064095964 cites W2120055375 @default.
- W2064095964 cites W2123344349 @default.
- W2064095964 cites W2129293501 @default.
- W2064095964 cites W2130020900 @default.
- W2064095964 cites W2130245797 @default.
- W2064095964 cites W2132695006 @default.
- W2064095964 cites W2133275623 @default.
- W2064095964 cites W2141577422 @default.
- W2064095964 cites W2143049868 @default.
- W2064095964 cites W2148491024 @default.
- W2064095964 cites W4249303168 @default.
- W2064095964 doi "https://doi.org/10.1016/j.juro.2014.07.084" @default.
- W2064095964 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25063491" @default.
- W2064095964 hasPublicationYear "2015" @default.
- W2064095964 type Work @default.
- W2064095964 sameAs 2064095964 @default.
- W2064095964 citedByCount "26" @default.
- W2064095964 countsByYear W20640959642015 @default.
- W2064095964 countsByYear W20640959642016 @default.
- W2064095964 countsByYear W20640959642017 @default.
- W2064095964 countsByYear W20640959642018 @default.
- W2064095964 countsByYear W20640959642019 @default.
- W2064095964 countsByYear W20640959642020 @default.
- W2064095964 countsByYear W20640959642021 @default.
- W2064095964 countsByYear W20640959642023 @default.
- W2064095964 crossrefType "journal-article" @default.
- W2064095964 hasAuthorship W2064095964A5000253151 @default.
- W2064095964 hasAuthorship W2064095964A5010608659 @default.
- W2064095964 hasAuthorship W2064095964A5021387889 @default.
- W2064095964 hasAuthorship W2064095964A5042364551 @default.
- W2064095964 hasAuthorship W2064095964A5045566016 @default.
- W2064095964 hasAuthorship W2064095964A5047898313 @default.
- W2064095964 hasAuthorship W2064095964A5051361744 @default.
- W2064095964 hasAuthorship W2064095964A5052570003 @default.
- W2064095964 hasAuthorship W2064095964A5063537781 @default.
- W2064095964 hasAuthorship W2064095964A5072454919 @default.
- W2064095964 hasAuthorship W2064095964A5080064863 @default.
- W2064095964 hasAuthorship W2064095964A5088050729 @default.
- W2064095964 hasAuthorship W2064095964A5090779771 @default.
- W2064095964 hasConcept C111335779 @default.
- W2064095964 hasConcept C126322002 @default.
- W2064095964 hasConcept C126894567 @default.
- W2064095964 hasConcept C141071460 @default.
- W2064095964 hasConcept C2524010 @default.
- W2064095964 hasConcept C2780091579 @default.
- W2064095964 hasConcept C2780227381 @default.
- W2064095964 hasConcept C33923547 @default.
- W2064095964 hasConcept C71924100 @default.
- W2064095964 hasConceptScore W2064095964C111335779 @default.
- W2064095964 hasConceptScore W2064095964C126322002 @default.
- W2064095964 hasConceptScore W2064095964C126894567 @default.
- W2064095964 hasConceptScore W2064095964C141071460 @default.
- W2064095964 hasConceptScore W2064095964C2524010 @default.
- W2064095964 hasConceptScore W2064095964C2780091579 @default.
- W2064095964 hasConceptScore W2064095964C2780227381 @default.
- W2064095964 hasConceptScore W2064095964C33923547 @default.
- W2064095964 hasConceptScore W2064095964C71924100 @default.
- W2064095964 hasIssue "2" @default.
- W2064095964 hasLocation W20640959641 @default.
- W2064095964 hasLocation W20640959642 @default.
- W2064095964 hasOpenAccess W2064095964 @default.
- W2064095964 hasPrimaryLocation W20640959641 @default.