R.E.N.A.L. Score Outperforms PADUA Score, C-Index and DAP Score for Outcome Prediction of Nephron Sparing Surgery in a Selected Cohort

医学 队列 标准分 外科 索引(排版) 内科学 统计 数学 计算机科学 万维网
作者
Hendrik Borgmann,Ann-Kathrin Reiss,M. Kurosch,Natalie Filmann,Sebastian Frees,René Mager,Igor Tsaur,Axel Haferkamp
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:196 (3): 664-671 被引量:44
标识
DOI:10.1016/j.juro.2016.03.176
摘要

No AccessJournal of UrologyAdult Urology1 Sep 2016R.E.N.A.L. Score Outperforms PADUA Score, C-Index and DAP Score for Outcome Prediction of Nephron Sparing Surgery in a Selected Cohort Hendrik Borgmann, Ann-Kathrin Reiss, Martin Kurosch, Natalie Filmann, Sebastian Frees, Rene Mager, Igor Tsaur, and Axel Haferkamp Hendrik BorgmannHendrik Borgmann Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author , Ann-Kathrin ReissAnn-Kathrin Reiss Department of Urology, University Hospital Frankfurt, Frankfurt, Germany More articles by this author , Martin KuroschMartin Kurosch Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author , Natalie FilmannNatalie Filmann Institute of Biostatistics and Mathematical Modeling, University Hospital Frankfurt, Frankfurt, Germany More articles by this author , Sebastian FreesSebastian Frees Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author , Rene MagerRene Mager Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author , Igor TsaurIgor Tsaur Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author , and Axel HaferkampAxel Haferkamp Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.03.176AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: Several nephrometry scores have been proposed to predict perioperative outcomes in renal surgery. We evaluated which nephrometry score correlates best with the MIC (margin, ischemia and complications) score and quantitative perioperative outcomes in nephron sparing surgery. Materials and Methods: Data on 188 patients undergoing nephron sparing surgery were retrospectively investigated for patient, operative and tumor characteristics. Nephrometry scores, including R.E.N.A.L. (radius, exophytic/endophytic properties, nearness of tumor to collecting system or sinus, anterior/posterior, hilar tumor touching the main renal artery or vein and location relative to polar lines), PADUA (preoperative aspects and dimensions used for an anatomical), C-index (concordance index) and DAP (diameter-axial-polar), were measured on preoperative computerized tomography or magnetic resonance imaging and coded continuously and categorically. Parameters pertaining to tumor margin, ischemia and complications were recorded as binary scores and classified as MIC achievement. Operative time, estimated blood loss, warm ischemia time and hospital stay were recorded as quantitative perioperative outcomes. Results: The R.E.N.A.L. score correlated best with MIC and quantitative perioperative outcomes. The continuously coded R.E.N.A.L. score was predictive of MIC on univariate analysis (OR 0.75, 95% CI 0.58–0.97, p = 0.03) and it had the best predictive value on multivariate logistic regression analysis (OR 0.31, 95% CI 0.18–0.82, p = 0.03). The C-index but not the PADUA or the DAP score was predictive of MIC on univariate and multivariate logistic regression analysis. MIC achievement rates were significantly higher for low than for high complexity tumors as assessed by categorically coded R.E.N.A.L. score, C-index and DAP scores. Continuously coded R.E.N.A.L. and PADUA scores positively correlated with operative time, warm ischemia time and hospital stay. The C-index and the DAP score correlated with warm ischemia time. Conclusions: Of 4 nephrometry scores the R.E.N.A.L. score correlated best with MIC achievement and quantitative perioperative outcomes of nephron sparing surgery. References 1 : Age-adjusted incidence, mortality, and survival rates of stage-specific renal cell carcinoma in North America: a trend analysis. Eur Urol2011; 59: 135. Google Scholar 2 : Guideline for management of the clinical T1 renal mass. J Urol2009; 182: 1271. Link, Google Scholar 3 : EAU guidelines on renal cell carcinoma: 2014 update. Eur Urol2015; 67: 913. Google Scholar 4 : Nephron-sparing surgery versus radical nephrectomy in the treatment of intracapsular renal cell carcinoma up to 7cm. Eur Urol2008; 53: 803. Google Scholar 5 : 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 6 : 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 7 : Kidney tumor location measurement using the C index method. J Urol2010; 183: 1708. Link, Google Scholar 8 : Diameter-axial-polar nephrometry: integration and optimization of R.E.N.A.L. and centrality index scoring systems. J Urol2012; 188: 384. Link, Google Scholar 9 : Achievement of trifecta in minimally invasive partial nephrectomy correlates with functional preservation of operated kidney: a multi-institutional assessment using MAG3 renal scan. World J Urol2015; 10.1007/x00345-015-1726-x. Crossref, Google Scholar 10 : Renal function is associated with nephrometry score after partial nephrectomy: a study using diethylene triamine penta-acetic acid (DTPA) renal scanning. Ann Surg Oncol2015; 22: S1594. Google Scholar 11 : Prediction of partial nephrectomy outcomes by using the diameter-axis-polar nephrometry score. Int J Urol2014; 21: 442. Google Scholar 12 : Anatomic features of enhancing renal masses predict malignant and high-grade pathology: a preoperative nomogram using the RENAL Nephrometry score. Eur Urol2011; 60: 241. Google Scholar 13 : R.E.N.A.L. nephrometry score predicts postoperative recurrence of localized renal cell carcinoma treated by radical nephrectomy. Int J Clin Oncol2016; 21: 367. Google Scholar 14 : R.E.N.A.L. (radius, exophytic/endophytic, nearness to collecting system or sinus, anterior/posterior, and location relative to polar lines) nephrometry score predicts early tumor recurrence and complications after percutaneous ablative therapies for renal cell carcinoma: a 5-year experience. J Vasc Interv Radiol2015; 26: 686. Google Scholar 15 : Preoperative predictors of malignancy and unfavorable pathology for clinical T1a tumors treated with partial nephrectomy: a multi-institutional analysis. Urol Oncol2015; 33: 112.e9. Google Scholar 16 : Survival outcomes after radical and partial nephrectomy for clinical T2 renal tumours categorised by R.E.N.A.L. nephrometry score. BJU Int2014; 114: 708. Google Scholar 17 : Anatomic features involved in technical complexity of partial nephrectomy. Urology2015; 85: 1. Google Scholar 18 : Margin, ischemia, and complications (MIC) score in partial nephrectomy: a new system for evaluating achievement of optimal outcomes in nephron-sparing surgery. Eur Urol2012; 62: 617. Google Scholar 19 : Margin, ischemia, and complications system to report perioperative outcomes of robotic partial nephrectomy: a European Multicenter Observational Study (EMOS project). Urology2015; 85: 589. Google Scholar 20 : C-index is associated with functional outcomes after laparoscopic partial nephrectomy. J Urol2010; 184: 2259. Link, Google Scholar 21 : Usefulness of the diameter-axial-polar nephrometry score for predicting perioperative parameters in robotic partial nephrectomy. World J Urol2015; 33: 841. Google Scholar 22 : Trends and perioperative outcomes for laparoscopic and robotic nephrectomy using the National Surgical Quality Improvement Program (NSQIP) database. Urol Oncol2014; 32: 473. Google Scholar 23 : Margins, ischaemia and complications rate after laparoscopic partial nephrectomy: impact of learning curve and tumour anatomical characteristics. BJU Int2013; 112: 1125. Google Scholar 24 : Critical appraisal of first-generation renal tumor complexity scoring systems: Creation of a second-generation model of tumor complexity. Urol Oncol2015; 33: 167 e1. Google Scholar 25 : Renal tumor contact surface area: a novel parameter for predicting complexity and outcomes of partial nephrectomy. Eur Urol2014; 66: 884. Google Scholar 26 : Zonal NePhRO scoring system: a superior renal tumor complexity classification model. Clin Genitourin Cancer2014; 12: e13. Google Scholar 27 : Practical and intuitive surgical approach renal ranking to predict outcomes in the management of renal tumors: a novel score tool. J Endourol2014; 28: 487. Google Scholar 28 : Adherent perinephric fat at minimally invasive partial nephrectomy is associated with adverse perioperative outcomes and malignant renal histology. BJU Int2016; 117: 636. Google Scholar 29 : An arterial based complexity (ABC) scoring system to assess the morbidity profile of partial nephrectomy. Eur Urol2016; 69: 72. Google Scholar © 2016 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byLaguna M (2019) Re: Comparison of RENAL, PADUA, CSA, and PAVP Nephrometry Scores in Predicting Functional Outcomes after Partial NephrectomyJournal of Urology, VOL. 202, NO. 4, (657-658), Online publication date: 1-Oct-2019. Volume 196Issue 3September 2016Page: 664-671Supplementary Materials Advertisement Copyright & Permissions© 2016 by American Urological Association Education and Research, Inc.Keywordsdecision support techniqueskidney neoplasmscomplicationsischemiaprognosisMetricsAuthor Information Hendrik Borgmann Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author Ann-Kathrin Reiss Department of Urology, University Hospital Frankfurt, Frankfurt, Germany More articles by this author Martin Kurosch Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author Natalie Filmann Institute of Biostatistics and Mathematical Modeling, University Hospital Frankfurt, Frankfurt, Germany More articles by this author Sebastian Frees Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author Rene Mager Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author Igor Tsaur Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author Axel Haferkamp Department of Urology, University Hospital Mainz, Mainz, Germany More articles by this author Expand All Advertisement PDF downloadLoading ...
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
上官若男应助科研通管家采纳,获得10
刚刚
CHENG_2025应助科研通管家采纳,获得10
刚刚
ding应助科研通管家采纳,获得10
1秒前
1秒前
斯文败类应助科研通管家采纳,获得10
1秒前
沐青应助科研通管家采纳,获得30
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得30
1秒前
乐乐应助科研通管家采纳,获得10
1秒前
乐观小之应助科研通管家采纳,获得10
1秒前
情怀应助科研通管家采纳,获得10
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
ding应助科研通管家采纳,获得10
1秒前
2秒前
宇宙第一帅发布了新的文献求助200
3秒前
3秒前
3秒前
zhou默完成签到,获得积分10
3秒前
FCL完成签到,获得积分10
5秒前
6秒前
6秒前
景行行止发布了新的文献求助10
7秒前
7秒前
高兴的羊完成签到,获得积分10
8秒前
星辰大海应助跳跳妈妈采纳,获得30
9秒前
共享精神应助秋不落棠采纳,获得10
10秒前
1234发布了新的文献求助10
10秒前
peach发布了新的文献求助10
10秒前
圆圆发布了新的文献求助20
11秒前
冷傲的电源完成签到,获得积分10
11秒前
leslie发布了新的文献求助10
12秒前
英姑应助like1994采纳,获得10
12秒前
12秒前
杨欢欢发布了新的文献求助10
12秒前
12秒前
重要尔珍发布了新的文献求助20
12秒前
玛丽完成签到,获得积分10
12秒前
小帅完成签到,获得积分10
14秒前
烟花应助huayi采纳,获得10
14秒前
peach完成签到,获得积分10
15秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Toward a Combinatorial Approach for the Prediction of IgG Half-Life and Clearance 500
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969940
求助须知:如何正确求助?哪些是违规求助? 3514642
关于积分的说明 11175298
捐赠科研通 3249947
什么是DOI,文献DOI怎么找? 1795178
邀请新用户注册赠送积分活动 875617
科研通“疑难数据库(出版商)”最低求助积分说明 804891