|Year : 2018 | Volume
| Issue : 1 | Page : 51-55
Comparison of RENAL, PADUA, and C-index scoring systems in predicting perioperative outcomes after nephron sparing surgery
Aditya P Sharma1, Ravimohan Suryanarayana Mavuduru1, Girdhar Singh Bora1, Sudheer K Devana1, Kiruthika Palani2, Anupam Lal2, Nandita Kakkar3, Shrawan K Singh1, Arup K Mandal1
1 Department of Urology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
2 Department of Radiodiagnosis, Post Graduate Institute of Medical Education and Research, Chandigarh, India
3 Department of Pathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
|Date of Submission||13-Aug-2017|
|Date of Acceptance||09-Oct-2017|
|Date of Web Publication||29-Dec-2017|
Ravimohan Suryanarayana Mavuduru
Department of Urology, Post Graduate Institute of Medical Education and Research, Chandigarh
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Introduction and Objective: The RENAL, PADUA and centrality index (C-index) nephrometry scoring systems (SS) have been individually evaluated for their role in predicting trifecta outcomes after nephron-sparing surgery (NSS). However, there is little data on their comparative superiority. The present study was designed to evaluate the predictive value of three SS and to assess interobserver reliability.
Materials and Methods: Fifty patients undergoing NSS at our center between January 2014 and April 2016 were included in the study. The demographic details were noted. Images (computed tomography [CT] scans or magnetic resonance imaging) were reviewed by a urologist and a radiologist independently and RENAL, PADUA, and C-index were calculated. The correlation between these scoring system and trifecta outcomes were calculated.
Results: The RENAL and PADUA score did not correlate with any of the perioperative parameters. However, C-index had a significant correlation with operative time (OT) (P = 0.02) and trifecta outcomes (P < 0.05). There was an excellent concordance between the two observers in scoring the RENAL score (α = 0.915; intraclass correlation coefficient [ICC] = 0.814) and PADUA score (α = 0.816; ICC = 0.689 [P < 0.001]). There was lesser although acceptable concordance in the calculation of C-index (ICC −0.552; α −0.711).
Conclusions: There is good correlation among all the 3 SS. C-index has lower reproducibility due to difficult mathematical calculation but correlated best with trifecta outcomes.
|How to cite this article:|
Sharma AP, Mavuduru RS, Bora GS, Devana SK, Palani K, Lal A, Kakkar N, Singh SK, Mandal AK. Comparison of RENAL, PADUA, and C-index scoring systems in predicting perioperative outcomes after nephron sparing surgery. Indian J Urol 2018;34:51-5
|How to cite this URL:|
Sharma AP, Mavuduru RS, Bora GS, Devana SK, Palani K, Lal A, Kakkar N, Singh SK, Mandal AK. Comparison of RENAL, PADUA, and C-index scoring systems in predicting perioperative outcomes after nephron sparing surgery. Indian J Urol [serial online] 2018 [cited 2023 Mar 27];34:51-5. Available from: https://www.indianjurol.com/text.asp?2018/34/1/51/221968
| Introduction|| |
The complexity of renal tumors remains the primary determinant based on which the urologists decide surgical approach and strategy for treatment. A number of SS have been reported to standardize and quantitate tumor complexity.,, These scores may also have potential to influence treatment selection provided they predict operative outcomes. Radius exophytic/endophytic nearness anterior/posterior location (RENAL) nephrometry score and preoperative aspects and dimensions used for anatomic (PADUA) classification and SS involve similar components and methodology. They provide a comprehensive description of the tumor size, closeness to the collecting system, polarity, and anterior or posterior location. Each component is assigned by score, providing a continuous variable., Another score known as centrality index (C-Index) represents simple, practical measurement and characterizes tumor centrality based on the ratio of the distance between the tumor and kidney center and tumor radius 
A number of studies validate these scores independently for determining preoperative decision-making and also predicting the postoperative outcomes in laparoscopic and open nephron-sparing surgery (NSS).,, However, there is a paucity of data comparing these SS in predicting trifecta outcomes in NSS. There have been conflicting reports showing the superiority of one score over the other.,, In an earlier study, we found that mean tumor size and staging in our series was advanced as compared to that in available literature. We designed this study to evaluate the predictive value of SS (RENAL, PADUA score, and C-index) in determining perioperative outcome in NSS and to determine interobserver reliability, reproducibility, and variation in scoring done by urologist versus radiologist.
| Materials and Methods|| |
Fifty consecutive patients with renal masses undergoing NSS were enrolled. The demographics details were noted. All the patients' imaging, viz., CT scans were viewed by an urologist and radiologist, and RENAL nephrometry score (RNS), PADUA score  and C-index  were calculated independently by an urologist and a radiologist. Each observer was blinded to the results of the other observer's assessments. In addition to using absolute scores, RENAL and PADUA scores were calculated and categorized as described by Kutikov et al. and Ficarra et al. respectively. The C-index was categorized as <1, equal to 1 or >1.
The operative characters were noted viz. Warm ischemia time (WIT), estimated blood loss (EBL), OT, postoperative complications in Clavien-Dindo format, length of hospital stay (LOS), percent change in creatinine level and estimated glomerular filtration rate (eGFR) by Cockcroft-Gault Formula. This change in creatinine and eGFR was calculated at immediate postoperative period and at the last available follow-up of the patient. Histopathology was reviewed for type of renal tumor, margin status, and Fuhrman grading.
The trifecta outcomes were defined as negative surgical margins, WIT of <30 min and minimal postoperative complications (Clavien–Dindo Grade 0–2). The patients achieving trifecta outcomes were computed. Comparison was made for the predictive value of all three scores for 50 patients.
Statistical analyses were performed using SPSS v 22.0 (IBM, NewYork USA) and Microsoft Excel 2007. Discrete categorical data were represented in the form of either a number or a percentage. Continuous data, assumed to be normally distributed, were written as in the form of its mean and standard deviation when it was skewed it was written in the form of its median and interquartile range, as per the requirement. The normality of quantitative data was checked by measures of Kolmogorov–Smirnov tests of normality. For normally distributed data, means of three Groups of (RNSs) (low, intermediate, and high) were compared using One-Way ANOVA followed by post hoc multiple comparisons test. For skewed data, Kruskal–Wallis test followed by Mann–Whitney U-test for two groups was applied. To compare the 2 groups for normally distributed Student's t-test was applied to compare two groups. Proportions were compared using Chi-square or Fisher's exact test, depending on their applicability for 2 Groups. Spearman or Pearson correlation coefficients were calculated to see the relationship of different variables. For time-related variables of Skewed data Wilcoxon-Signed rank test was applied; for normally distributed data paired t-test was carried out. To see the reliability of intraobserver error; intraclass correlation coefficient (ICC) and Cronbach's α was calculated. The concordance was rated as excellent for Cronbach α >0.9, good for Cronbach α 0.8–0.9, and acceptable for Cronbach α 0.7–0.8. All the statistical tests were two-sided and were performed at a significance level of P < 0.05.
| Results|| |
Twenty-seven tumors were located on the right side. Forty-seven NSS out of 50 were done robotically and 3 patients were operated laparoscopically. Majority (48%) of patients (24/50) were detected incidentally. Other clinical presentations included pain (38%), lower urinary tract symptoms (8%), recurrence (2%), Von Hippel–Lindau during follow-up (2%) and hematuria (2%). Majority tumors were stage T1 tumors (80%). Eighteen percent patients were stage T2 and only 1 patient was stage T3a with renal vein thrombosis. Majority of tumors (70%) were clear-cell carcinoma. Tumor margin was positive in 2 (4%) patients.
More than one renal artery was present in 9 (18%) patients and 8 patients had more than one renal vein (16%). The mean operating time (OT) was 157.24 ± 54.205 min, WIT was 25.98 ± 11.58 min, and EBL was 212.50 ± 160.06 ml. Complications were graded as per Clavien–Dindo grading. Median follow-up was 8 months (Range-3–22 months). The mean eGFR of the patient cohort at last follow-up was not significantly different than mean preoperative eGFR. One patient had new onset of CKD III. Complications occurred in 22 patients. Majority (24%) of perioperative complications were of Grade 1, 16% Grade 2 with only 4% patients having grade 3 complications. Mean scores (RENAL, PADUA, and C-index) showed no significant difference and are as follows: RENAL: Urologist = 7.84 ± 2.12 (4–12); Radiologist = 7.36 ± 2.11 (4–11). C-index: Urologist = 1.34 ± 0.62 (0.4-3.00); radiologist = 1.10 ± 0.50 (0.11–2.67) and PADUA: Urologist-9.64 ± 2.22,(6–14) and Radiologist = 8.64 ± 1.94 (6–13).
Correlations were calculated among various scores with respect to various parameters such as OT, WIT, EBL, Clavien–Dindo complications, tumor size and also the scores determined by radiologist and urologist. All the SS had good correlation among themselves and with tumor size. Pearson Correlation coefficient for RENAL-C-Index was.530 (P < 0.0005) and RENAL–PADUA was 0.910 (P < 0.0005) and C-index-PADUA was.471 (P < 0.001). There was a significant correlation between the C-index and OT (σ = −0.327, P = 0.02). However, no significant correlation was observed between the other scores and EBL, OT, WIT and complications. Thirty-six (72%) patients achieved trifecta outcomes. Out of all the scores only, C-index was associated with trifecta outcomes [Table 1].
|Table 1: Comparison of scoring systems with respect to trifecta outcomes|
Click here to view
There was an excellent concordance between the two observers in scoring RENAL scores. Cronbach α = 0.915 and ICC = 0.814 (P < 0.001). The ICC and Cronbach α values for all the scores are given in [Table 2]. The kappa for anterior/posterior agreement was 0.644 (P < 0.001). From the analysis, it is clear that minimum concordance was in exophytic/endophytic component and maximum between the “radius”. There was good concordance between the two observers in scoring the PADUA score. Cronbach α = 0.816 and ICC = 0.689 (P < 0.001). The concordance for subcomponents revealed the highest concordance with tumor size and lowest with determination of relation to renal sinus. Among the three scores, the least concordance was between the C-index although it also showed acceptable ICC (0.552) and Cronbach α (0.711). The calculation of C component was the determinant which showed poor concordance.
|Table 2: Concordance between urologist's and radiologist's score using Cronbach α and intraclass correlation coefficient: radius exophytic/endophytic nearness anterior/posterior location, preoperative aspects and dimensions used for anatomic and C-index|
Click here to view
| Discussion|| |
A number of studies have assessed the existing SS for their role in predicting the trifecta outcomes after nephron sparing surgery.,, In our cohort of 50 patients all 3 scores: RENAL (RNS), PADUA, and C-index were calculated. The RNS did not correlate with any of the perioperative parameters. However, C-index had significant correlation with OT (P = 0.02) and was also associated with trifecta outcomes (P < 0.05). There was excellent concordance between the urologist and the radiologist in scoring RNS; Cronbach α was 0.915 and ICC was 0.814 (P < 0.001). There was good concordance between the two observers in scoring the PADUA score. Cronbach α =0.816 and ICC = 0.689 (P < 0.001). Among the three scores, the least concordance was between the two observers the calculation of C-index although it showed an acceptable ICC (0.552) and Cronbach α (0.711).
Esen et al. have already validated that RENAL and PADUA score influence surgical treatment strategy for localized renal masses. High RENAL and PADUA scores increased the likelihood of an open NSS. However, the predictive value of these SS in predicting the perioperative outcomes is still controversial.,, In fact, with the advent of robotic surgery more and more data have been compiled recently with NSS being offered to patients with larger tumors or highly complex tumors.,
Okhunov et al. conducted a study to establish reliability of these SS and assess relationships between these three SS and perioperative and postoperative variables. They found that there were no significant associations between any of the three SS assessed and the occurrence of complications, OT, or EBL (EBL). All the scores were associated with WIT, percent change in creatinine level, and tumor size. In our series, all the SS had good correlation among themselves and with tumor size. There was significant correlation between the C-index and OT in our study (P = 0.02). However, no significant correlation was observed between the other scores (viz. RENAL and PADUA) and EBL, OT, WIT, and complications. Yeon et al. have also found that RENAL and PADUA score do not predict perioperative outcomes, namely, complications, WIT, and EBL.
No significant correlation was found by Okhunov et al. between the PADUA and RENAL scoring system and LOS. However, C-Index showed a significant relationship with LOS. Patients with lower scores had longer hospital stay. In our series, there was no correlation between any of these scoring system and LOS [Table 3]. The comparison between their series and ours is shown in [Table 3].
|Table 3: Summary of studies on comparing radius exophytic/endophytic nearness anterior/posterior location, preoperative aspects and dimensions used for anatomic and C-index|
Click here to view
Regarding the prediction of trifecta outcomes Acar et al. have found that there was no statistically significant difference between RENAL, PADUA, and C-index between the trifecta positive and negative groups. In our series, only C-index was found to have association with trifecta outcomes, and RENAL/PADUA scoring system had no association with trifecta outcomes [Table 1].
Plausible reason for this poor correlation of these SS with these combined outcome measures is that these SS were primarily devised for predicting tumor complexity and anticipatory difficulty to be encountered during NSS. However, the actual difficulty encountered during surgery depends on a number of factors such as surgeon's experience, hilar anatomy, vascular anomalies encountered and tumor characteristics. Postoperative complications also depend on patient's age and comorbidities. Thus, these SS alone may not be reflective of perioperative outcomes.
Regarding validation of the SS, Montang et al. found ICC of 0.92 between two urologists and concluded high fidelity of the RENAL scoring system. In another similar study by Kolla et al. concordance among 3 observers was 94%, 76%, 66%, 80%, and 54% for the R, E, N, A, and L components, respectively. The corresponding kappa values for each of these 5 components were 0.95, 0.86, 0.76, 0.84, and 0.73, respectively. They also concluded that RNS has good interobserver reliability with L component having least agreement which needs to be kept in mind while scoring. In our series, we found 'E' (exophytic) component in RENAL score to be least concordant of all the components. This difference is likely due to inherent interobserver as well as intraobserver bias.
One of the detailed studies by Spaliviero et al. which included 90 CT scans read by 5 observers. One radiology fellow, one radiology resident, 2 urology fellows, and one secondary school student were asked to rate C-index, PADUA, and RENAL score. They found that agreement using C-Index method (ICC = 0.773) was higher than with PADUA (ICC = 0.677), or RENAL (ICC = 0.660).
Our results are in contradiction to above study with C-index showing least agreement between the two observers (Cronbach α = 0.711). The plausible reason for the same is that the difficulty encountered in calculating the C component of C-index on axial scans. They have used reconstructed coronal CT scans for calculating the C-index instead of thin slice axial scans. Determination of two separate variables x and y and further application of Pythagoras theorem to determine c from x and y inherently inducts multiple mathematical steps. However, regarding reproducibility of REANL and PADUA scores, we agree with the results of Hew et al. and Spaliviero et al. that RENAL and PADUA scores are highly reproducible.,
Spaliviero et al. also stated that agreement between reference and secondary school student was lower than with other physicians although the differences were not statistically significant. They concluded clinical experience reduces interobserver variability of existing nephrometry systems. Although not an outcome of our study, we agree with the above conclusions and believe the premise that increasing experience of the observers in calculating a particular score will lead to increase in agreement.
An interesting find in our study was that all mean scores by urologist were higher than those calculated by radiologist. Although this difference was not statistically significant, it might be possible that the urologist tend to overestimate the subcomponents of the scoring system in anticipated difficulty during the surgery.
The strengths of this study are that it is a prospective study. The tumor diameter and complexity of the tumors in our study are higher as compared to that in the contemporary series, thereby strengthening evidence for performing NSS for such tumors. To the best of our knowledge, this is the second study comparing all three SS in predicting trifecta outcomes. The limitations of this study include a small sample size and a short follow-up period. There is inherent observer bias among various observers.
| Conclusions|| |
C-index fared better than other two SS in predicting trifecta outcomes; however, it is difficult to calculate and has highest interobserver variability.
Financial support and sponsorship:
Conflicts of interest:
There are no conflicts of interest.
| References|| |
Simmons MN, Ching CB, Samplaski MK, Park CH, Gill IS. Kidney tumor location measurement using the C index method. J Urol 2010;183:1708-13.
Kutikov A, Uzzo RG. The R.E.N.A.L. Nephrometry score: A comprehensive standardized system for quantitating renal tumor size, location and depth. J Urol 2009;182:844-53.
Ficarra V, Novara G, Secco S, Macchi V, Porzionato A, De Caro R, et al
. Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery. Eur Urol 2009;56:786-93.
Okhunov Z, Rais-Bahrami S, George AK, Waingankar N, Duty B, Montag S, et al.
The comparison of three renal tumor scoring systems: C-index, P.A.D.U.A. and R.E.N.A.L. Nephrometry scores. J Endourol 2011;25:1921-4.
Esen T, Acar O, Musaoglua A, Vural M. Morphometric profile of the localized renal tumors managed either by open or robot-assisted nephron-sparing surgery: The impact of scoring systems on the decision making process. BMC Urol 2013;13:63.
Abdel Raheem A, Alatawi A, Kim DK, Sheikh A, Alabdulaali I, Han WK, et al
. Outcomes of high-complexity renal tumours with a Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) score of ≥10 after robot-assisted partial nephrectomy with a median 46.5-month follow-up: A tertiary centre experience. BJU Int 2016;118:770-8.
Yeon JS, Son SJ, Lee YJ, Cha WH, Choi WS, Chung JW, et al.
The nephrometry score: Is it effective for predicting perioperative outcome during robot-assisted partial nephrectomy? Korean J Urol 2014;55:254-9.
Acar Ö, Işık EÖ, Mut T, Saǧlıcan Y, Onay A, Vural M, et al
. Comparison of the trifecta outcomes of robotic and open nephron-sparing surgeries performed in the robotic era of a single institution. Springerplus 2015;4:472.
Bora GS, Mavuduru RS, Sharma AP, Devana SK, Kakkar N, Lal A, et al.
Initial experience of robotic nephron sparing surgery in cases of high renal nephrometry scores. Indian J Urol 2017;33:230-5.
] [Full text]
Dindo D, Demartines N, Clavien PA. Classification of surgical complications: A new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg 2004;240:205-13.
Fuhrman SA, Lasky LC, Limas C. Prognostic significance of morphologic parameters in renal cell carcinoma. Am J Surg Pathol 1982;6:655-63.
Masson-Lecomte A, Yates DR, Bensalah K, Vaessen C, de la Taille A, Roumiguié M, et al.
Robot-assisted laparoscopic nephron sparing surgery for tumors over 4 cm: Operative results and preliminary oncologic outcomes from a multicentre French study. Eur J Surg Oncol 2013;39:799-803.
Kopp RP, Liss MA, Mehrazin R, Wang S, Lee HJ, Jabaji R, et al.
Analysis of renal functional outcomes after radical or partial nephrectomy for renal masses≥7 cm using the RENAL score. Urology 2015;86:312-9.
Qi J, Yu Y, Huang T, Bai Q, Kang J, Liang J, et al.
Predictors of postoperative renal functional damage after nephron-sparing surgery. World J Surg Oncol 2013;11:216.
Montag S, Waingankar N, Sadek MA, Rais-Bahrami S, Kavoussi LR, Vira MA, et al.
Reproducibility and fidelity of the R.E.N.A.L. Nephrometry score. J Endourol 2011;25:1925-8.
Kolla SB, Spiess PE, Sexton WJ. Interobserver reliability of the RENAL nephrometry scoring system. Urology 2011;78:592-4.
Spaliviero M, Poon BY, Aras O, Di Paolo PL, Guglielmetti GB, Coleman CZ, et al.
Interobserver variability of R.E.N.A.L. PADUA, and centrality index nephrometry score systems. World J Urol 2015;33:853-8.
Hew MN, Baseskioglu B, Barwari K, Axwijk PH, Can C, Horenblas S, et al.
Critical appraisal of the PADUA classification and assessment of the R.E.N.A.L. Nephrometry score in patients undergoing partial nephrectomy. J Urol 2011;186:42-6.
[Table 1], [Table 2], [Table 3]
|This article has been cited by|
||Patient REnal and Tumor Attribute Score (PRETA Score): a comprehensive renal nephrometry score for use in patients with renal masses planned for minimally invasive nephron sparing surgery
| ||Gautam Ram Choudhary, Rahul Jena, Pallagani Likhiteswer, Prateek Gupta, Himanshu Pandey, Taruna Yadav, Vijay Kumar Sarma Madduri, Mahendra Singh |
| ||Journal of Robotic Surgery. 2022; |
|[Pubmed] | [DOI]|
||Nephrometry scoring systems: their importance for the planning of nephron-sparing surgery and the relationships among them
| ||Victor Dubeux, Josť Fernando Cardona Zanier, Carolina Gianella Cobo Chantong, Fabricio Carrerette, Pedro Nicolau Gabrich, Ronaldo Dami‚o |
| ||Radiologia Brasileira. 2022; |
|[Pubmed] | [DOI]|
||External validation of SPARE nephrometery score in predicting overall complications, trifecta and pentafecta outcomes following robot-assisted partial nephrectomy
| ||Gopal SHARMA, Shantanu TYAGI, Ravimohan MAVUDURU, Girdhar S. BORA, Aditya P. SHARMA, Sudheer K. DEVANA, Ujjwal GORSI, Nandita KAKKAR, Shrawan K. SINGH |
| ||Minerva Urology and Nephrology. 2022; 74(1) |
|[Pubmed] | [DOI]|
||A Computed Tomography Angiography (CTA): Based score (SGPGI score) to predict level of difficulty, operative, and postoperative outcomes for right-sided radical nephrectomy
| ||Uday P Singh, Kumar Madhavan, Priyank Yadav, Rahul Soni, Hira Lal, Sanjoy K Sureka, Rakesh Kapoor, Aneesh Srivastava |
| ||Urologia Journal. 2021; : 0391560321 |
|[Pubmed] | [DOI]|
||A comparison of DAP and RENAL scoring systems in the achievement of trifecta in laparoscopic partial nephrectomy
| ||Sumanta Kumar Mishra, Ranil Johann Boaz, Sudhindra Jayasimha, Rajiv Paul Mukha, Nitin Sudhakar Kekre, Santosh Kumar Singh |
| ||Urologia Journal. 2021; : 0391560321 |
|[Pubmed] | [DOI]|
||Parallel comparison of R.E.N.A.L., PADUA, and C-index scoring systems in predicting outcomes after partial nephrectomy: A systematic review and meta-analysis
| ||Can Hu, Jiale Sun, Zhiyu Zhang, Haoyang Zhang, Qi Zhou, Jiangnan Xu, Zhixin Ling, Jun Ouyang |
| ||Cancer Medicine. 2021; 10(15): 5062 |
|[Pubmed] | [DOI]|