Anatomic Features Involved in Technical Complexity of Partial Nephrectomy
Author:
Publisher
Elsevier BV
Subject
Urology
Reference32 articles.
1. The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth;Kutikov;J Urol,2009
2. Objective measures of renal mass anatomic complexity predict rates of major complications following partial nephrectomy;Simhan;Eur Urol,2011
3. Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy;Altunrende;World J Urol,2013
4. Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery;Ficarra;Eur Urol,2009
5. Implementation and external validation of Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) score for predicting complications in 74 consecutive partial nephrectomies;Tyritzis;BJU Int,2012
Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Predictive Value of the Mayo Adhesive Probability (MAP) Score in Laparoscopic Partial Nephrectomies: A Systematic Review from the EAU Section of Uro-Technology (ESUT);Cancers;2024-04-10
2. Surgical Management of Localized Disease and Small Renal Masses;Hematology/Oncology Clinics of North America;2023-10
3. Search for the optimized and key nephrometry elements combination in retroperitoneal laparoscopic partial nephrectomy: A retrospective study;Frontiers in Surgery;2023-03-06
4. Nephrometric scoring system: Recent advances and outlooks;Urologic Oncology: Seminars and Original Investigations;2023-01
5. Clinical Application and Progress of Renal Tumor Scoring System;Advances in Clinical Medicine;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3