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Validation of 3D volumetric-based renal function prediction calculator for nephron sparing surgery

  • Urology - Original Paper
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Abstract

Objective

To evaluate a recently published volume-based renal function prediction calculator intended to be used in small renal mass surgical counseling.

Methods

Retrospective data collection included three-dimensional calculation of renal mass and parenchyma of patients who have undergone extirpative therapy. The predicted glomerular filtration rate (GFR) was calculated using the online calculator. The predicted GFR was compared with the actual 6-month GFR. The Pearson correlation coefficient, paired t test and root-mean-square error (RMSE) are utilized for statistical analysis.

Results

After institutional review board approval, three institutions provided data for analysis. After patients with renal mass size >300 cc, renal size >400 cc or preoperative CKD ≥stage 3 had been excluded, we retrospectively analyzed data from 136 patients. The median mass volume was 22.2 cc (IQR 7–49). In multiple linear regression analysis, the most significant variables predicting postoperative GFR were partial versus radical nephrectomy and preoperative GFR with an overall R2 of .68 (F = 26.13, P < .001). The predicted GFR was 75.4 mL/min/1.73 m2 compared to an actual GFR of 70.7 mL/min/1.73 m2 (P < .001, paired t test). The predicted GFR was highly correlated with the actual postoperative GFR at 6 months (Pearson correlation, r = .65, P < .001). RMSE of the validation cohort was 16.87.

Conclusions

The predictive tool to determine renal function benefit of nephron sparing surgery compared to radical nephrectomy online calculator effectively predicts GFR and could potentially be used to help urologists and patients discuss renal function prior to extirpative renal surgery.

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Authors and Affiliations

  1. Department of Urology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

    Renato Corradi, Hebert A. Vargas & Jonathan Coleman

  2. Department of Urology, University of Texas Health Science Center San Antonio, 7703, Floyd Curl Drive, San Antonio, TX, USA

    Aashish Kabra, Jacob Oppenheimer & Michael A. Liss

  3. Department of Urology, University of California-Irvine, Irvine, CA, USA

    Melissa Suarez, Zhamshid Okhunov & Jaime Landman

  4. Department of Radiology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA

    Hugh White

  5. Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

    Stephanie Nougaret

  6. INSERM, U1194, Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France

    Stephanie Nougaret

  7. Service de Radiologie, Institut Régional du Cancer de Montpellier, Montpellier, France

    Stephanie Nougaret

Authors
  1. Renato Corradi
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  2. Aashish Kabra
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  11. Michael A. Liss
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Corresponding author

Correspondence to Michael A. Liss.

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Conflict of interest

None of the authors have potential conflicts of interest with the material in this manuscript.

Human and animal rights

Our research did not involve human participants and/or animals. Our research was conducted retrospectively from charts and images and did not change any medical care of the patients.

Informed consent

Due to the retrospective nature, each institution did complete a non-human participant IRB and did not require informed consent.

Additional information

Renato Corradi and Aashish Kabra are co-first authors.

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Corradi, R., Kabra, A., Suarez, M. et al. Validation of 3D volumetric-based renal function prediction calculator for nephron sparing surgery. Int Urol Nephrol 49, 615–621 (2017). https://doi.org/10.1007/s11255-017-1525-y

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  • DOI: https://doi.org/10.1007/s11255-017-1525-y

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