Mayo Adhesive Probability Score Adds Predictive Value Beyond PADUA and RENAL to Predict Surgical Complexity in Patients Undergoing Single Port Robotic Partial Nephrectomy: A Multi-Institutional Study

Background and Objective: Standard nephrometry scores characterize renal tumor anatomy but not adherent perinephric fat, which may influence exposure during single-port (SP) robot-assisted partial nephrectomy (RAPN). We evaluated whether Mayo Adhesive Probability (MAP) score is associated with operative difficulty and adds value beyond PADUA and RENAL scores. Methods: Retrospective multi-institutional analysis of 325 patients in the SP Advanced Research Consortium undergoing SP-RAPN with imaging and operative data. MAP was calculated from posterior perinephric fat thickness and perinephric fat stranding. Primary outcome: operative time; secondary outcomes: estimated blood loss (EBL), warm ischemia time (WIT). Log-linear regression adjusted for nephrometry score, age, BMI, and surgical approach. Incremental model fit was assessed by likelihood-ratio testing and Akaike Information Criterion (AIC) in fully adjusted nested models, with additional center-adjusted sensitivity analyses. Results: Each 1-point MAP increase was independently associated with longer operative time in RENAL-adjusted (+9.5%, 95% CI: 6.1–13.0; p < 0.001) and PADUA-adjusted (+6.5%, 95% CI: 3.6–9.5; p < 0.001) models. After center adjustment, these associations persisted (+5.0% and + 6.6% per point, respectively; both p < 0.001). MAP was associated with greater EBL in the primary model (+11.2%, 95% CI: 2.6–20.6; p = 0.010), but this association was attenuated after center adjustment (+6.0%, 95% CI: −2.4% to 15.1%; p = 0.168). MAP was not associated with WIT. Adding MAP improved model fit beyond RENAL (AIC reduction 28.7) and PADUA (AIC reduction 17.6; both p < 0.001). Postoperative complications occurred in 14.2%, major complications in 3.1%, and 30-day readmission in 8.3%. Conclusions: MAP complements nephrometry by capturing the perinephric dissection environment. Incorporating MAP into SP-RAPN assessment may provide complementary information for planning, counseling, and risk adjustment.

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Journal
Journal of Endourology
Published
2026-11-02
DOI
https://doi.org/10.1177/08927790261501686
Primary Topic
Renal cell carcinoma treatment
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article

Mayo Adhesive Probability Score Adds Predictive Value Beyond PADUA and RENAL to Predict Surgical Complexity in Patients Undergoing Single Port Robotic Partial Nephrectomy: A Multi-Institutional Study

Simone Crivellaro, MICHAEL D. STIFELMAN, Jennifer Linehan, Riccardo Autorino B et al.
2 links
Journal of Endourology
Renal cell carcinoma treatment
article

Mayo Adhesive Probability Score Adds Predictive Value Beyond PADUA and RENAL to Predict Surgical Complexity in Patients Undergoing Single Port Robotic Partial Nephrectomy: A Multi-Institutional Study

Simone Crivellaro, MICHAEL D. STIFELMAN, Jennifer Linehan, Riccardo Autorino B, Srinivas Vourganti, Mihir S. Shah, Fabio Maria Valenzi, Jihad H Kaouk, Angelo Orsini, Mehr Nasir-Moin, Rui Miguel Marques Bernardino, Nicolas Adrianto Soputro, Gianna Jimenez, Abdulrahman Muataz Al-Bayati, Anastasia Mavridis, Jacob O'Hara, Mutahar Ahmed, Ana Maldonado
article en

Abstract

Background and Objective: Standard nephrometry scores characterize renal tumor anatomy but not adherent perinephric fat, which may influence exposure during single-port (SP) robot-assisted partial nephrectomy (RAPN). We evaluated whether Mayo Adhesive Probability (MAP) score is associated with operative difficulty and adds value beyond PADUA and RENAL scores. Methods: Retrospective multi-institutional analysis of 325 patients in the SP Advanced Research Consortium undergoing SP-RAPN with imaging and operative data. MAP was calculated from posterior perinephric fat thickness and perinephric fat stranding. Primary outcome: operative time; secondary outcomes: estimated blood loss (EBL), warm ischemia time (WIT). Log-linear regression adjusted for nephrometry score, age, BMI, and surgical approach. Incremental model fit was assessed by likelihood-ratio testing and Akaike Information Criterion (AIC) in fully adjusted nested models, with additional center-adjusted sensitivity analyses. Results: Each 1-point MAP increase was independently associated with longer operative time in RENAL-adjusted (+9.5%, 95% CI: 6.1–13.0; p < 0.001) and PADUA-adjusted (+6.5%, 95% CI: 3.6–9.5; p < 0.001) models. After center adjustment, these associations persisted (+5.0% and + 6.6% per point, respectively; both p < 0.001). MAP was associated with greater EBL in the primary model (+11.2%, 95% CI: 2.6–20.6; p = 0.010), but this association was attenuated after center adjustment (+6.0%, 95% CI: −2.4% to 15.1%; p = 0.168). MAP was not associated with WIT. Adding MAP improved model fit beyond RENAL (AIC reduction 28.7) and PADUA (AIC reduction 17.6; both p < 0.001). Postoperative complications occurred in 14.2%, major complications in 3.1%, and 30-day readmission in 8.3%. Conclusions: MAP complements nephrometry by capturing the perinephric dissection environment. Incorporating MAP into SP-RAPN assessment may provide complementary information for planning, counseling, and risk adjustment.

Journal of Endourology
Rush University Medical Center (US), Cleveland Clinic (US), Hackensack University Medical Center (US), Thomas Jefferson University (US), Thomas Jefferson University Hospital (US), University of Illinois Chicago (US), Saint John's Health Center (US), Glickman Urological Institute (US)
Good health and well-being
Openalex Percentile: Top 13%
Renal cell carcinoma treatment
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