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A Comparison of Excisional Volume Loss Calculation Methods to Predict Functional Outcome After Partial Nephrectomy
Alp Tuna Beksac1, Qainat N Shah1, David J Paulucci1
11 Department of Urology and Icahn School of Medicine at Mount Sinai, New York, New York.
Imaging-based tissue segmentation (TS) for functional volume loss (FVL) after partial nephrectomy (PN) is more accurate than pathological analysis. TS is significantly associated with estimated glomerular filtration rate (eGFR) decline, unlike pathological analysis.
Area of Science:
- Nephrology
- Urology
- Radiology
Background:
- Functional volume loss (FVL) is a key predictor of kidney function decline post-partial nephrectomy (PN).
- Accurate quantification of FVL is crucial for predicting post-PN outcomes.
- Two methods for FVL quantification exist: imaging-based tissue segmentation (TS) and pathological analysis.
Purpose of the Study:
- To compare the accuracy of imaging-based TS and pathological analysis in quantifying FVL post-PN.
- To determine the association of each quantification method with estimated glomerular filtration rate (eGFR) decline.
Main Methods:
- Retrospective analysis of 42 patients undergoing PN for cT1 renal mass.
- FVL calculated using TS (preoperative imaging) and pathological analysis (specimen dimensions).
- Spearman's correlation and multivariable linear mixed-effects models used to assess associations.
Main Results:
- eGFR significantly decreased by -5.1 mL/min/1.73 m² at 6 months post-PN (p=0.004).
- Pathological analysis underestimated FVL (5.76 mL) compared to TS (32.2 mL) (p<0.001).
- TS analysis was significantly associated with eGFR decline (β=0.084, p=0.012), while pathological analysis was not (β=0.02, p=0.87).
Conclusions:
- Pathological analysis underestimates parenchymal volume loss post-PN.
- Imaging-based TS is the only method significantly associated with changes in eGFR after PN.
- TS is a more reliable method for assessing FVL and predicting kidney function post-PN.
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