The Journal of Urology
Volume 182, Issue 6 , Pages 2585-2589, December 2009

Can Renal Mass Biopsy Assessment of Tumor Grade be Safely Substituted for by a Predictive Model?

  • Claudio Jeldres

      Affiliations

    • Department of Urology, University of Montreal, Montreal, Quebec, Canada
  • ,
  • Maxine Sun

      Affiliations

    • Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada
  • ,
  • Daniel Liberman

      Affiliations

    • Department of Urology, University of Montreal, Montreal, Quebec, Canada
  • ,
  • Giovanni Lughezzani

      Affiliations

    • Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada
    • Department of Urology, Vita-Salute San Raffaele, Milan, Italy
  • ,
  • Alexandre de la Taille

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Jacques Tostain

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Antoine Valeri

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Luca Cindolo

      Affiliations

    • Department of Urology, Vita-Salute San Raffaele, Milan, Italy
  • ,
  • Vincenzo Ficarra

      Affiliations

    • Department of Urology, Vita-Salute San Raffaele, Milan, Italy
  • ,
  • Walter Artibani

      Affiliations

    • Department of Urology, Vita-Salute San Raffaele, Milan, Italy
  • ,
  • Richard Zigeuner

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
    • Department of Urology, Medical University of Graz, Graz, Austria
  • ,
  • Arnaud Mejean

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Jean Luc Descotes

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Eric Lechevallier

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Peter F. Mulders

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Paul Perrotte

      Affiliations

    • Department of Urology, University of Montreal, Montreal, Quebec, Canada
  • ,
  • Jean-Jacques Patard

      Affiliations

    • Department of Urology, Lille University Hospital, Lille, France
  • ,
  • Pierre I. Karakiewicz

      Affiliations

    • Department of Urology, University of Montreal, Montreal, Quebec, Canada
    • Corresponding Author InformationCorrespondence: Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 1058, rue St-Denis, Montréal, Québec, Canada, H2X 3J4 (telephone: 514-890-8000-35336; FAX: 514-412-7363)

Received 28 April 2009 published online 16 October 2009.

Purpose

Fuhrman grade represents a key determinant of the natural history of small renal masses that represent renal cell carcinoma. We tested whether renal mass biopsy prediction of Fuhrman grade in the nephrectomy specimen could be safely substituted for by an accurate statistical model. To date the best available model has shown poor accuracy (55.6%), which is close to flipping a coin (50%) and clearly inadequate for use in clinical practice.

Materials and Methods

We identified 1,139 patients with T1aN0M0 renal cell carcinoma treated with partial or radical nephrectomy at 11 participating institutions from 1989 to 2004. This cohort was used in univariate and multivariate logistic regression models predicting high Fuhrman grade (III–IV) at nephrectomy. Predictors included age at diagnosis, gender, tumor size and symptom classification. Multivariate logistic regression coefficients were used to generate a nomogram.

Results

The rate of Fuhrman grade III–IV in patients with T1aN0M0 renal cell carcinoma was 12.3%. Stratifying patients with Fuhrman grade III–IV by age, gender, histological subtypes and sample size failed to reveal statistically significant differences. On univariate analysis predicting Fuhrman grade III–IV at nephrectomy only tumor size was a statistically significant predictor (p = 0.05). The most accurate multivariate nomogram for Fuhrman grade III–IV prediction was 58.3% (95% CI 57.8–58.9) accurate. Of all tested predictors only tumor size achieved independent predictor status (p = 0.009).

Conclusions

Our analysis derived in European patients shows that statistical models cannot safely replace renal mass biopsy based prediction of Fuhrman grade III–IV at nephrectomy. Our findings corroborate a report from the United States in which a similar model had 55.6% accuracy. Jointly the studies indicate that statistical models are unreliable and cannot safely be substituted for renal mass biopsy in North American or European patients.

Key Words: kidney, carcinoma, renal cell, models, statistical, biopsy, Europe

Abbreviations and Acronyms: FG, Fuhrman grade, HFG, high FG, RCC, renal cell carcinoma, RMB, renal mass biopsy, SRM, small renal mass

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 Study received approval from the institutional review board for the protection of human subjects.

PII: S0022-5347(09)02075-8

doi:10.1016/j.juro.2009.08.053

The Journal of Urology
Volume 182, Issue 6 , Pages 2585-2589, December 2009