Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy
Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Metho...
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| Autor*in: |
Altunrende, Fatih [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag 2012 |
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| Übergeordnetes Werk: |
Enthalten in: World journal of urology - Berlin : Springer, 1983, 31(2012), 5 vom: 19. Apr., Seite 1165-1169 |
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| Übergeordnetes Werk: |
volume:31 ; year:2012 ; number:5 ; day:19 ; month:04 ; pages:1165-1169 |
| Links: |
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| DOI / URN: |
10.1007/s00345-012-0867-4 |
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| Katalog-ID: |
SPR004309049 |
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| 041 | |a eng | ||
| 100 | 1 | |a Altunrende, Fatih |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy |
| 264 | 1 | |c 2012 | |
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| 500 | |a © Springer-Verlag 2012 | ||
| 520 | |a Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. | ||
| 650 | 4 | |a Robotics |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nephrectomy |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Kidney neoplasms |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Warm ischemia |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nephrometry score |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Laydner, Humberto |4 aut | |
| 700 | 1 | |a Hernandez, Adrian V. |4 aut | |
| 700 | 1 | |a Autorino, Riccardo |4 aut | |
| 700 | 1 | |a Khanna, Rakesh |4 aut | |
| 700 | 1 | |a White, Michael A. |4 aut | |
| 700 | 1 | |a Isac, Wahib |4 aut | |
| 700 | 1 | |a Spana, Gregory |4 aut | |
| 700 | 1 | |a Hillyer, Shahab |4 aut | |
| 700 | 1 | |a Yang, Bo |4 aut | |
| 700 | 1 | |a Yakoubi, Rachid |4 aut | |
| 700 | 1 | |a Haber, Georges-Pascal |4 aut | |
| 700 | 1 | |a Kaouk, Jihad H. |4 aut | |
| 700 | 1 | |a Stein, Robert J. |4 aut | |
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10.1007/s00345-012-0867-4 doi (DE-627)SPR004309049 (SPR)s00345-012-0867-4-e DE-627 ger DE-627 rakwb eng Altunrende, Fatih verfasserin aut Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2012 Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. Robotics (dpeaa)DE-He213 Nephrectomy (dpeaa)DE-He213 Kidney neoplasms (dpeaa)DE-He213 Warm ischemia (dpeaa)DE-He213 Nephrometry score (dpeaa)DE-He213 Laydner, Humberto aut Hernandez, Adrian V. aut Autorino, Riccardo aut Khanna, Rakesh aut White, Michael A. aut Isac, Wahib aut Spana, Gregory aut Hillyer, Shahab aut Yang, Bo aut Yakoubi, Rachid aut Haber, Georges-Pascal aut Kaouk, Jihad H. aut Stein, Robert J. aut Enthalten in World journal of urology Berlin : Springer, 1983 31(2012), 5 vom: 19. Apr., Seite 1165-1169 (DE-627)254910874 (DE-600)1463303-6 1433-8726 nnns volume:31 year:2012 number:5 day:19 month:04 pages:1165-1169 https://dx.doi.org/10.1007/s00345-012-0867-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2012 5 19 04 1165-1169 |
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10.1007/s00345-012-0867-4 doi (DE-627)SPR004309049 (SPR)s00345-012-0867-4-e DE-627 ger DE-627 rakwb eng Altunrende, Fatih verfasserin aut Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2012 Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. Robotics (dpeaa)DE-He213 Nephrectomy (dpeaa)DE-He213 Kidney neoplasms (dpeaa)DE-He213 Warm ischemia (dpeaa)DE-He213 Nephrometry score (dpeaa)DE-He213 Laydner, Humberto aut Hernandez, Adrian V. aut Autorino, Riccardo aut Khanna, Rakesh aut White, Michael A. aut Isac, Wahib aut Spana, Gregory aut Hillyer, Shahab aut Yang, Bo aut Yakoubi, Rachid aut Haber, Georges-Pascal aut Kaouk, Jihad H. aut Stein, Robert J. aut Enthalten in World journal of urology Berlin : Springer, 1983 31(2012), 5 vom: 19. Apr., Seite 1165-1169 (DE-627)254910874 (DE-600)1463303-6 1433-8726 nnns volume:31 year:2012 number:5 day:19 month:04 pages:1165-1169 https://dx.doi.org/10.1007/s00345-012-0867-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2012 5 19 04 1165-1169 |
| allfields_unstemmed |
10.1007/s00345-012-0867-4 doi (DE-627)SPR004309049 (SPR)s00345-012-0867-4-e DE-627 ger DE-627 rakwb eng Altunrende, Fatih verfasserin aut Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2012 Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. Robotics (dpeaa)DE-He213 Nephrectomy (dpeaa)DE-He213 Kidney neoplasms (dpeaa)DE-He213 Warm ischemia (dpeaa)DE-He213 Nephrometry score (dpeaa)DE-He213 Laydner, Humberto aut Hernandez, Adrian V. aut Autorino, Riccardo aut Khanna, Rakesh aut White, Michael A. aut Isac, Wahib aut Spana, Gregory aut Hillyer, Shahab aut Yang, Bo aut Yakoubi, Rachid aut Haber, Georges-Pascal aut Kaouk, Jihad H. aut Stein, Robert J. aut Enthalten in World journal of urology Berlin : Springer, 1983 31(2012), 5 vom: 19. Apr., Seite 1165-1169 (DE-627)254910874 (DE-600)1463303-6 1433-8726 nnns volume:31 year:2012 number:5 day:19 month:04 pages:1165-1169 https://dx.doi.org/10.1007/s00345-012-0867-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2012 5 19 04 1165-1169 |
| allfieldsGer |
10.1007/s00345-012-0867-4 doi (DE-627)SPR004309049 (SPR)s00345-012-0867-4-e DE-627 ger DE-627 rakwb eng Altunrende, Fatih verfasserin aut Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2012 Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. Robotics (dpeaa)DE-He213 Nephrectomy (dpeaa)DE-He213 Kidney neoplasms (dpeaa)DE-He213 Warm ischemia (dpeaa)DE-He213 Nephrometry score (dpeaa)DE-He213 Laydner, Humberto aut Hernandez, Adrian V. aut Autorino, Riccardo aut Khanna, Rakesh aut White, Michael A. aut Isac, Wahib aut Spana, Gregory aut Hillyer, Shahab aut Yang, Bo aut Yakoubi, Rachid aut Haber, Georges-Pascal aut Kaouk, Jihad H. aut Stein, Robert J. aut Enthalten in World journal of urology Berlin : Springer, 1983 31(2012), 5 vom: 19. Apr., Seite 1165-1169 (DE-627)254910874 (DE-600)1463303-6 1433-8726 nnns volume:31 year:2012 number:5 day:19 month:04 pages:1165-1169 https://dx.doi.org/10.1007/s00345-012-0867-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2012 5 19 04 1165-1169 |
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10.1007/s00345-012-0867-4 doi (DE-627)SPR004309049 (SPR)s00345-012-0867-4-e DE-627 ger DE-627 rakwb eng Altunrende, Fatih verfasserin aut Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2012 Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. Robotics (dpeaa)DE-He213 Nephrectomy (dpeaa)DE-He213 Kidney neoplasms (dpeaa)DE-He213 Warm ischemia (dpeaa)DE-He213 Nephrometry score (dpeaa)DE-He213 Laydner, Humberto aut Hernandez, Adrian V. aut Autorino, Riccardo aut Khanna, Rakesh aut White, Michael A. aut Isac, Wahib aut Spana, Gregory aut Hillyer, Shahab aut Yang, Bo aut Yakoubi, Rachid aut Haber, Georges-Pascal aut Kaouk, Jihad H. aut Stein, Robert J. aut Enthalten in World journal of urology Berlin : Springer, 1983 31(2012), 5 vom: 19. Apr., Seite 1165-1169 (DE-627)254910874 (DE-600)1463303-6 1433-8726 nnns volume:31 year:2012 number:5 day:19 month:04 pages:1165-1169 https://dx.doi.org/10.1007/s00345-012-0867-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2012 5 19 04 1165-1169 |
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Altunrende, Fatih @@aut@@ Laydner, Humberto @@aut@@ Hernandez, Adrian V. @@aut@@ Autorino, Riccardo @@aut@@ Khanna, Rakesh @@aut@@ White, Michael A. @@aut@@ Isac, Wahib @@aut@@ Spana, Gregory @@aut@@ Hillyer, Shahab @@aut@@ Yang, Bo @@aut@@ Yakoubi, Rachid @@aut@@ Haber, Georges-Pascal @@aut@@ Kaouk, Jihad H. @@aut@@ Stein, Robert J. @@aut@@ |
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| author |
Altunrende, Fatih |
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Altunrende, Fatih misc Robotics misc Nephrectomy misc Kidney neoplasms misc Warm ischemia misc Nephrometry score Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy |
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Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy Robotics (dpeaa)DE-He213 Nephrectomy (dpeaa)DE-He213 Kidney neoplasms (dpeaa)DE-He213 Warm ischemia (dpeaa)DE-He213 Nephrometry score (dpeaa)DE-He213 |
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Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy |
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Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy |
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Altunrende, Fatih |
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World journal of urology |
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2012 |
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Altunrende, Fatih Laydner, Humberto Hernandez, Adrian V. Autorino, Riccardo Khanna, Rakesh White, Michael A. Isac, Wahib Spana, Gregory Hillyer, Shahab Yang, Bo Yakoubi, Rachid Haber, Georges-Pascal Kaouk, Jihad H. Stein, Robert J. |
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Altunrende, Fatih |
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10.1007/s00345-012-0867-4 |
| title_sort |
correlation of the renal nephrometry score with warm ischemia time after robotic partial nephrectomy |
| title_auth |
Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy |
| abstract |
Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. © Springer-Verlag 2012 |
| abstractGer |
Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. © Springer-Verlag 2012 |
| abstract_unstemmed |
Purpose The RENAL nephrometry score (RNS) was developed to quantify complexity of renal tumors in a reproducible manner. We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. These findings can be used to preoperatively predict which tumor characteristics will likely affect WIT and may be useful in preoperative counseling as well as planning of approach. © Springer-Verlag 2012 |
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Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy |
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https://dx.doi.org/10.1007/s00345-012-0867-4 |
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Laydner, Humberto Hernandez, Adrian V. Autorino, Riccardo Khanna, Rakesh White, Michael A. Isac, Wahib Spana, Gregory Hillyer, Shahab Yang, Bo Yakoubi, Rachid Haber, Georges-Pascal Kaouk, Jihad H. Stein, Robert J. |
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Laydner, Humberto Hernandez, Adrian V. Autorino, Riccardo Khanna, Rakesh White, Michael A. Isac, Wahib Spana, Gregory Hillyer, Shahab Yang, Bo Yakoubi, Rachid Haber, Georges-Pascal Kaouk, Jihad H. Stein, Robert J. |
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254910874 |
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| doi_str |
10.1007/s00345-012-0867-4 |
| up_date |
2024-07-04T00:36:15.858Z |
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We aim to determine whether individual categories of the RNS have different impact on the warm ischemia time (WIT) for patients undergoing robotic partial nephrectomy (RPN). Methods In a retrospective analysis of a prospectively maintained database, we identified 251 consecutive patients who underwent RPN between January 2007 and June 2010. RNS was determined in 187 with available imaging. Univariable analysis and multivariable linear regression analysis were performed to identify which factors were more significantly associated with WIT. Results Overall RNS was of low (4–6), moderate (7–9), and high complexity (10–12) in 84 (45 %), 80 (43 %), and 23 (12 %) patients, respectively. There was no association between gender (p = 0.6), BMI (p = 0.3), or anterior/posterior location (A) (p = 0.8), and WIT. On univariable analysis, longer WIT was associated with size (R) >4 cm (p < 0.0001), entirely endophytic properties (E) (p = 0.005), tumor <4 mm from the collecting system/sinus (N) (p < 0.0001), and location between the polar lines (L) (p = 0.004). Total RNS and WIT were highly correlated (Spearman correlation coefficient = 0.54, p < 0.0001). There was a significant trend of higher WIT with increased tumor complexity (p for trend <0.0001). After multivariable analysis, only R (p = 0.0003), E (p = 0.003), and N (p = 0.00002) components of the RNS were significantly associated with WIT. Conclusions The A and L subcategories of the RNS have no significant impact on the WIT of patients undergoing RPN. WIT is significantly dependent upon the other subcategories, as well as the overall RNS. 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