AI Summary & Key Takeaways
AI InsightOf these, surgeon volume is the single most important predictorof surgical margin status, indicating that optimal oncological outcomes are best achieved by high-volumesurgeons.
📌 3 Key Takeaways
Özet
Objective: To identify preoperative factors that predict positive surgical margins in partial nephrectomy.Material and methods: Using our institutional partial nephrectomy database, we investigated the patientswho underwent partial nephrectomy for malignant tumors between January 2011 and December 2015. Patient, tumor, surgeon characteristics were compared by surgical margin status. Multivariable logistic regression was used to identify independent predictors of positive surgical margins.Results: A total of 1025 cases were available for analysis, of which 65 and 960 had positive and negativesurgical margins, respectively. On univariate analysis, positive margins were associated with older age (64.3vs. 59.6, p<0.01), history of prior ipsilateral kidney surgery (13.8% vs. 5.6%, p<0.01), lower preoperativeeGFR (74.7 mL/min/1.73 m2 vs. 81.2 mL/min/1.73 m2, p=0.01), high tumor complexity (31.8% vs. 19.0%,p=0.03), hilar tumor location (23.1% vs. 12.5%, p=0.01), and lower surgeon volume (p<0.01). Robotic versusopen approach was not associated with the risk of positive margins (p=0.79). On multivariable analysis,lower preoperative eGFR, p=0.01), hilar tumor location (p=0.01), and lower surgeon volume (p<0.01) werefound to be independent predictors of positive margins.Conclusion: In our large institutional series of partial nephrectomy cases, patient, tumor, and surgeon factors influence the risk of positive margins. Of these, surgeon volume is the single most important predictorof surgical margin status, indicating that optimal oncological outcomes are best achieved by high-volumesurgeons.