Literature DB >> 19573980

A proposal for reclassification of the Fuhrman grading system in patients with clear cell renal cell carcinoma.

Maxine Sun1, Giovanni Lughezzani, Claudio Jeldres, Hendrik Isbarn, Shahrokh F Shariat, Philippe Arjane, Hugues Widmer, Daniel Pharand, Mathieu Latour, Paul Perrotte, Jean-Jacques Patard, Pierre I Karakiewicz.   

Abstract

BACKGROUND: The conventional Fuhrman grading system, which categorizes renal cell carcinoma (RCC) with grades I, II, III, and IV, is the most widely used predictor assessment of RCC cancer-specific mortality (CSM).
OBJECTIVES: The aim of this study was to test the prognostic ability of simplified Fuhrman grading schemes (FGSs) that rely on two- or three-tiered classifications. DESIGN, SETTING, AND PARTICIPANTS: The current study addressed a population of 14064 patients with clear cell RCC who were treated with partial or radical nephrectomy between 1988-2004, within nine Surveillance, Epidemiology, and End Results (SEER) cancer registries. MEASUREMENTS: Univariable and multivariable analyses as well as prognostic accuracy analyses were performed for various FGSs to test their ability to predict CSM rates. The conventional four-tiered FGS was compared to a modified two-tiered FGS in which grades I and II and grades III and IV were combined. A second simplified three-tiered FGS in which grades I and II were combined but grades III and IV were kept separate was also tested. RESULTS AND LIMITATIONS: The overall 5-yr CSM-free rate was 81.5%. All three FGSs achieved independent predictor status in multivariable analyses. Prognostic accuracy of multivariable models that relied on various FGSs was 83.6% for the modified two-tiered FGS and 83.8% for both the conventional four-tiered and the modified three-tiered FGS.
CONCLUSIONS: Our findings indicate that the simplified FGSs perform equally as well as the conventional four-tiered FGS. The use of simplified grading schemes may represent an advantage for pathologists as well as for clinicians caring for patients with RCC.

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Year:  2009        PMID: 19573980     DOI: 10.1016/j.eururo.2009.06.008

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  20 in total

1.  Comparison of oncologic outcomes between sarcomatoid and clear cell renal cell carcinoma.

Authors:  Vincent Trudeau; Alessandro Larcher; Maxine Sun; Katharina Boehm; Paolo Dell'Oglio; José Sosa; Zhe Tian; Nicola Fossati; Alberto Briganti; Shahrokh F Shariat; Pierre I Karakiewicz
Journal:  World J Urol       Date:  2016-02-22       Impact factor: 4.226

2.  Renal cell carcinoma: applicability of the apparent coefficient of the diffusion-weighted estimated by MRI for improving their differential diagnosis, histologic subtyping, and differentiation grade.

Authors:  Yulian Mytsyk; Ihor Dutka; Yuriy Borys; Iryna Komnatska; Iryna Shatynska-Mytsyk; Ammad Ahmad Farooqi; Katarina Gazdikova; Martin Caprnda; Luis Rodrigo; Peter Kruzliak
Journal:  Int Urol Nephrol       Date:  2016-11-16       Impact factor: 2.370

3.  Does the Fuhrman or World Health Organization/International Society of Urological Pathology Grading System Apply to the Xp11.2 Translocation Renal Cell Carcinoma?: A 10-Year Single-Center Study.

Authors:  Ning Liu; Weidong Gan; Feng Qu; Zhen Wang; Wenyuan Zhuang; Sezim Agizamhan; Linfeng Xu; Juanjuan Yin; Hongqian Guo; Dongmei Li
Journal:  Am J Pathol       Date:  2018-04       Impact factor: 4.307

4.  Advances of multidetector computed tomography in the characterization and staging of renal cell carcinoma.

Authors:  Athina C Tsili; Maria I Argyropoulou
Journal:  World J Radiol       Date:  2015-06-28

5.  Survival of metastatic renal cell carcinoma patients continues to improve over time, even in targeted therapy era.

Authors:  Michele Marchioni; Marco Bandini; Raisa S Pompe; Zhe Tian; Tristan Martel; Anil Kapoor; Luca Cindolo; Francesco Berardinelli; Alberto Briganti; Shahrokh F Shariat; Luigi Schips; Pierre I Karakiewicz
Journal:  Int Urol Nephrol       Date:  2017-09-20       Impact factor: 2.370

6.  Prediction models for clear cell renal cell carcinoma ISUP/WHO grade: comparison between CT radiomics and conventional contrast-enhanced CT.

Authors:  Dong Han; Yong Yu; Nan Yu; Shan Dang; Hongpei Wu; Ren Jialiang; Taiping He
Journal:  Br J Radiol       Date:  2020-08-12       Impact factor: 3.039

7.  Overexpression of autotaxin is associated with human renal cell carcinoma and bladder carcinoma and their progression.

Authors:  Aihua Xu; Md Ahsanul Kabir Khan; Fangzhi Chen; Zhaohui Zhong; Han-Chun Chen; Yuanda Song
Journal:  Med Oncol       Date:  2016-10-18       Impact factor: 3.064

8.  Continued increase in incidence of renal cell carcinoma, especially in young patients and high grade disease: United States 2001 to 2010.

Authors:  Sallyann Coleman King; Lori A Pollack; Jun Li; Jessica B King; Viraj A Master
Journal:  J Urol       Date:  2014-01-11       Impact factor: 7.450

9.  Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Authors:  Shawn Haji-Momenian; Zixian Lin; Bhumi Patel; Nicole Law; Adam Michalak; Anishsanjay Nayak; James Earls; Murray Loew
Journal:  Abdom Radiol (NY)       Date:  2020-03

Review 10.  Prognostic factors and prognostic models for renal cell carcinoma: a literature review.

Authors:  Tobias Klatte; Sabrina H Rossi; Grant D Stewart
Journal:  World J Urol       Date:  2018-04-30       Impact factor: 4.226

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