Renal tumour anatomical characteristics and functional outcome after partial nephrectomy.
OBJECTIVE
Anatomical features of renal tumours may be useful in predicting glomerular filtration rate (GFR) after partial nephrectomy. In this study, anatomical classification systems (ACSs) were compared to predict changes in renal function after surgery.


METHODS
A group of 294 patients with T1 renal tumours receiving partial nephrectomy between January 2006 and June 2013 were identified from the institutional kidney tumour database. Preoperative images from computed tomography or magnetic resonance imaging were reviewed to assess diameter, PADUA (preoperative aspects and dimensions used for an anatomical) classification score, RENAL (radius, exophytic/endophytic properties of the tumour, nearness of tumour deepest portion to the collecting system or sinus, anterior/posterior descriptor and location relative to polar lines) nephrometry score, centrality index (C index) and renal tumour invasion index (RTII). GFR was estimated using the Modification of Diet in Renal Disease equation preoperatively and 3 months after operation. Linear and logistic regression were applied as statistical methods.


RESULTS
Mean tumour diameter was 3.0 ± 2.2 cm (range 1.0-7.0 cm). GFR was 85 ± 22 ml/min/1.73 m² before the operation and 77 ± 21 ml/min/1.73 m² (-8% change) 3 months after the operation. In univariate linear regression, the percentage change in GFR was weakly but statistically significantly associated with surgical approach (p = 0.04), indication for nephron sparing (p = 0.02), preoperative GFR (p < 0.001), PADUA (p = 0.02), RENAL (p = 0.01) and RTII (p = 0.003). In multivariate logistic regression analysis among patients with tumours 3 cm or larger, PADUA (odds ratio 1.55, p = 0.021) and RTII (odds ratio 3.87, p = 0.037) predicted at least a 20% reduction in GFR.


CONCLUSIONS
Renal tumour ACSs may be clinically useful in predicting changes in renal function after partial nephrectomy in patients with larger tumours. The performance of RTII is equal to that of other ACSs in predicting changes in GFR.
Departments of Urology and.
Harry
H
Nisen
Petri
P
Heimonen
Lauri
L
Kenttä
Harri
H
Visapää
Jessica
J
Nisen
Kimmo
K
Taari
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002292:Carcinoma, Renal Cell / Q000473:pathology* / Q000601:surgery*; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology; D006801:Humans; D007668:Kidney / Q000000981:diagnostic imaging / Q000502:physiology*; D007680:Kidney Neoplasms / Q000473:pathology* / Q000601:surgery*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D009392:Nephrectomy / Q000379:methods*; D012044:Regression Analysis; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed; D016896:Treatment Outcome
Anatomical classification; kidney function; partial nephrectomy; renal cell carcinoma