Literature DB >> 23635425

Predictors of benign histology in clinical T1a renal cell carcinoma tumors undergoing partial nephrectomy.

Tetsuo Fujita1, Masatsugu Iwamura, Yoji Wakatabe, Morihiro Nishi, Daisuke Ishii, Kazumasa Matsumoto, Kazunari Yoshida, Shiro Baba.   

Abstract

The anatomical characteristics of renal tumors have been classified using several systems. An association between tumor anatomical characteristics and postoperative histological diagnosis can be expected. The present study aimed to assess the rate of and predictive factors for benign histological findings for renal tumors diagnosed as T1a by preoperative imaging. From January 2000 through December 2010, 149 patients underwent partial nephrectomy (either open or laparoscopic) for T1a renal cell carcinoma. The frequency of benign histological findings was evaluated. Logistic regression analysis estimated the relative importance of predictive factors. The overall frequency of benign lesions was 8.1%. Multivariate analysis identified three statistically significant predictive factors for benign lesions: age, sex and exophytic tumor property (P = 0.0356, 0.0183 and 0.0330, respectively). The present findings suggest that exophytic tumors on preoperative imaging are more likely to be benign at histology after partial nephrectomy.
© 2013 The Japanese Urological Association.

Entities:  

Keywords:  benign lesion; partial nephrectomy; renal cell carcinoma

Mesh:

Year:  2013        PMID: 23635425     DOI: 10.1111/iju.12166

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  5 in total

1.  Association of Prevalence of Benign Pathologic Findings After Partial Nephrectomy With Preoperative Imaging Patterns in the United States From 2007 to 2014.

Authors:  Jae Heon Kim; Shufeng Li; Yash Khandwala; Kyung Jin Chung; Hyung Keun Park; Benjamin I Chung
Journal:  JAMA Surg       Date:  2019-03-01       Impact factor: 14.766

2.  External validation of a nomogram including the computed tomography imaging score to predict indolent renal masses.

Authors:  X Chen; B Wan; D Yang; H Zhao; W Tan
Journal:  Int Urol Nephrol       Date:  2017-04-17       Impact factor: 2.370

3.  Simultaneous robotic partial nephrectomy for bilateral renal masses.

Authors:  Fabrizio Gallo; Simone Sforza; Lorenzo Luciani; Daniele Mattevi; Paolo Barzaghi; Andrea Mari; Fabrizio Di Maida; Alessandro Antonelli; Luca Cindolo; Antonio Galfano; Giovannalberto Pini; Guglielmo Mantica; Maurizio Schenone; Luigi Schips; Filippo Annino; Carlo Terrone; Aldo Massimo Bocciardi; Franco Gaboardi; Andrea Minervini
Journal:  World J Urol       Date:  2022-01-09       Impact factor: 4.226

4.  Use of RENAL nephrometry scores for predicting tumor upgrading between core biopsies and surgical specimens: a prospective ex vivo study.

Authors:  Gui-Ming Zhang; Yao Zhu; Hua-Lei Gan; Hong-Kai Wang; Guo-Hai Shi; Hai-Liang Zhang; Bo Dai; Chao-Fu Wang; Ding-Wei Ye
Journal:  Medicine (Baltimore)       Date:  2015-02       Impact factor: 1.889

5.  Patient and nonradiographic tumor characteristics predicting lipid-poor angiomyolipoma in small renal masses: Introducing the BEARS index.

Authors:  Tyler M Bauman; Aaron M Potretzke; Alec J Wright; Joel M Vetter; Theodora A Potretzke; R Sherburne Figenshau
Journal:  Investig Clin Urol       Date:  2017-06-27
  5 in total

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