亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Postoperative Outcome of Cystic Renal Cell Carcinoma Defined on Preoperative Imaging: A Retrospective Study

医学 生物统计学 家庭医学 流行病学 内科学 图书馆学 普通外科 计算机科学
作者
Jung Jae Park,Byong Chang Jeong,Chan Kyo Kim,Seong Il Seo,Keumhee C. Carrière,Minji Kim,Byung Kwan Park,Seong Soo Jeon,Hyun Moo Lee,Han Yong Choi
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:197 (4): 991-997 被引量:22
标识
DOI:10.1016/j.juro.2016.10.055
摘要

No AccessJournal of UrologyAdult Urology1 Apr 2017Postoperative Outcome of Cystic Renal Cell Carcinoma Defined on Preoperative Imaging: A Retrospective Study Jung Jae Park, Byong Chang Jeong, Chan Kyo Kim, Seong Il Seo, Keumhee C. Carriere, Minji Kim, Byung Kwan Park, Seong Soo Jeon, Hyun Moo Lee, and Han Yong Choi Jung Jae ParkJung Jae Park Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea School of Medicine, Kangwon National University, Chuncheon, Republic of Korea Equal study contribution. More articles by this author , Byong Chang JeongByong Chang Jeong Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea Equal study contribution. More articles by this author , Chan Kyo KimChan Kyo Kim Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea Department of Medical Device Management and Research, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea More articles by this author , Seong Il SeoSeong Il Seo Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author , Keumhee C. CarriereKeumhee C. Carriere Department of Biostatistics and Clinical Epidemiology Center, Samsung Hospital, Seoul, Republic of Korea Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada More articles by this author , Minji KimMinji Kim Department of Biostatistics and Clinical Epidemiology Center, Samsung Hospital, Seoul, Republic of Korea More articles by this author , Byung Kwan ParkByung Kwan Park Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author , Seong Soo JeonSeong Soo Jeon Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author , Hyun Moo LeeHyun Moo Lee Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author , and Han Yong ChoiHan Yong Choi Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.10.055AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: We evaluated the postoperative outcome of cystic renal cell carcinoma defined on preoperative computerized tomography. We also sought to find the optimal cutoff of the cystic proportion in association with patient prognosis. Material and Methods: In this institutional review board approved study with waiver of informed consent, 1,315 patients were enrolled who underwent surgery for a single renal cell carcinoma with preoperative computerized tomography. The cystic proportion of renal cell carcinoma was determined on computerized tomography. The optimal cutoff of the cystic proportion was explored regarding cancer specific survival. Renal cell carcinomas were categorized as cystic or noncystic renal cell carcinoma according to a conventional cutoff (ie cystic proportion 75% or greater) and an optimal cutoff. Postoperative outcomes were then compared between the 2 groups. Multivariate Cox regression analysis was performed to determine the independent predictor of cancer specific survival. Results: Of the 1,315 lesions 107 (8.1%) were identified as cystic renal cell carcinoma according to a conventional cutoff. The postoperative outcome of cystic renal cell carcinoma was significantly better than that of noncystic renal cell carcinoma (p <0.001). Neither metastasis nor recurrence developed after surgery in patients with cystic renal cell carcinoma. In association with the cancer specific survival rate, the optimal cutoff of the cystic proportion was 45% and 197 cases (15.0%) were accordingly defined as cystic renal cell carcinoma. On Cox regression analysis, a cystic proportion of 45% or greater of the renal cell carcinoma was an independent predictor of a favorable outcome regarding cancer specific survival (HR 0.34, p = 0.03). Conclusions: Cystic renal cell carcinoma defined on preoperative computerized tomography is associated with low metastatic potential and favorable outcomes after surgery. Particularly, a cystic proportion of 45% or greater is an independent prognostic factor for favorable survival. References 1 : Cystic renal cell carcinoma. Urology1986; 28: 145. Google Scholar 2 : Cystic renal tumors: new entities and novel concepts. Adv Anat Pathol2010; 17: 209. Google Scholar 3 : Cystic renal cell carcinoma: pathological features, survival and implications for treatment. Br J Urol1998; 82: 16. Google Scholar 4 : Cystic renal cell carcinoma is cured by resection: a study of 24 cases with long-term followup. J Urol1999; 161: 408. Link, Google Scholar 5 : Outcome of surgery in cystic renal cell carcinoma. Urology2000; 56: 67. Google Scholar 6 : Cystic renal cell carcinoma: biology and clinical behavior. Urol Oncol2004; 22: 410. Google Scholar 7 : Surgical resection provides excellent outcomes for patients with cystic clear cell renal cell carcinoma. Urology2007; 70: 900. Google Scholar 8 : Cystic renal cell carcinomas: do they grow, metastasize, or recur?. AJR Am J Roentgenol2013; 201: W292. Google Scholar 9 : Preoperative decision making for renal cell carcinoma: cystic morphology in cross-sectional imaging might predict lower malignant potential. Urol Oncol2014; 32: 37.e1. Google Scholar 10 : Determination of the cutoff value of the proportion of cystic change for prognostic stratification of clear cell renal cell carcinoma. J Urol2011; 186: 423. Link, Google Scholar 11 : Watchful waiting for solid renal masses: insight into the natural history and results of delayed intervention. J Urol2007; 177: 466. Link, Google Scholar 12 : Active surveillance of small renal masses: progression patterns of early stage kidney cancer. Eur Urol2011; 60: 39. Google Scholar 13 : Growth kinetics of renal masses: analysis of a prospective cohort of patients undergoing active surveillance. Eur Urol2011; 59: 863. Google Scholar 14 : Histopathological characteristics of localized renal cell carcinoma correlate with tumor size: a SEER analysis. J Urol2009; 181: 29. Link, Google Scholar 15 : Metastatic renal cell carcinoma risk according to tumor size. J Urol2009; 182: 41. Link, Google Scholar © 2017 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byLee R, Uzzo R, Anaokar J, Thomas A, Wei S, Ristau B, McIntosh A, Lee M, Chen D, Greenberg R, Viterbo R, Smaldone M, Correa A, Schober J, Ginsburg K, Bukavina L, Magee D, Uzzo N, Parkansky P, Ruth K and Kutikov A (2023) Pathological and Clinical Outcomes in a Large Surveillance and Intervention Cohort of Radiographically Cystic Renal MassesJournal of Urology, Smith J (2016) This Month in Adult UrologyJournal of Urology, VOL. 197, NO. 4, (969-970), Online publication date: 1-Apr-2017. Volume 197Issue 4April 2017Page: 991-997 Advertisement Copyright & Permissions© 2017 by American Urological Association Education and Research, Inc.Keywordsx-ray computedrenal cellmortalitylocalcystsneoplasm metastasistomographycarcinomaMetricsAuthor Information Jung Jae Park Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea School of Medicine, Kangwon National University, Chuncheon, Republic of Korea Equal study contribution. More articles by this author Byong Chang Jeong Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea Equal study contribution. More articles by this author Chan Kyo Kim Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea Department of Medical Device Management and Research, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea More articles by this author Seong Il Seo Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author Keumhee C. Carriere Department of Biostatistics and Clinical Epidemiology Center, Samsung Hospital, Seoul, Republic of Korea Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada More articles by this author Minji Kim Department of Biostatistics and Clinical Epidemiology Center, Samsung Hospital, Seoul, Republic of Korea More articles by this author Byung Kwan Park Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author Seong Soo Jeon Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author Hyun Moo Lee Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author Han Yong Choi Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea More articles by this author Expand All Advertisement PDF downloadLoading ...

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
13秒前
15秒前
星辰大海应助紧张的大有采纳,获得10
18秒前
康明雪发布了新的文献求助10
19秒前
乐乐应助Prof.Z采纳,获得10
19秒前
不明完成签到 ,获得积分10
19秒前
1111完成签到,获得积分10
25秒前
野性的飞绿完成签到,获得积分10
28秒前
SciGPT应助康明雪采纳,获得10
32秒前
潇洒的惋清应助冷静新烟采纳,获得10
32秒前
天天快乐应助善良胡萝卜采纳,获得10
38秒前
50秒前
星辰大海应助1111采纳,获得10
54秒前
啊啊啊啊发布了新的文献求助10
56秒前
xdc完成签到,获得积分10
59秒前
1分钟前
省略号发布了新的文献求助30
1分钟前
2go发布了新的文献求助10
1分钟前
CodeCraft应助bkpp采纳,获得10
1分钟前
SciGPT应助省略号采纳,获得10
1分钟前
鲤鱼不言完成签到,获得积分10
1分钟前
Scorpia112应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
Wenjian7761完成签到,获得积分10
1分钟前
1分钟前
张凡完成签到 ,获得积分10
1分钟前
省略号完成签到,获得积分10
1分钟前
1分钟前
1分钟前
Orange应助keth采纳,获得10
1分钟前
2分钟前
zhh完成签到,获得积分10
2分钟前
bkpp发布了新的文献求助10
2分钟前
2分钟前
2分钟前
小蘑菇应助善良胡萝卜采纳,获得10
2分钟前
菲菲发布了新的文献求助10
2分钟前
1111关注了科研通微信公众号
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
久松真一著作集〈第5巻〉禅と芸術 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6534586
求助须知:如何正确求助?哪些是违规求助? 8327828
关于积分的说明 17839607
捐赠科研通 5636174
什么是DOI,文献DOI怎么找? 2934443
邀请新用户注册赠送积分活动 1910712
关于科研通互助平台的介绍 1769161