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. Author manuscript; available in PMC: 2020 Oct 14.
Published in final edited form as: Urology. 2018 Oct 6;123:174–180. doi: 10.1016/j.urology.2018.08.044

Renal Hilar Lesions: Biological Implications for Complex Partial Nephrectomy

Andres F Correa 1, Hilary Yankey 2, Tianyu Li 3, Shreyas S Joshi 4, Alexander Kutikov 5, David Y Chen 6, Rosalia Viterbo 7, Richard E Greenberg 8, Marc C Smaldone 9, Robert G Uzzo 10
PMCID: PMC7556990  NIHMSID: NIHMS1631729  PMID: 30296503

Introduction:

Renal parenchymal tumors involving the hilum can present a considerable surgical challenge1. As with most anatomic considerations, “hilar” lesions must be considered in the context of the tumor’s size, location within the sinus, extent, and location of contact surface area (CSA) and its relationship to the vascular anatomy, collecting system, and perinephric fat. Most tumor complexity scoring systems reflect the fact that hilar tumors pose an increased surgical risk. The RENAL Nephrometry score (NS) specifically requires that an “h” suffix be affixed to the score to recognize the juxtaposition of the tumor to the main or first-order renal vascular branches2. The ABC score (Arterial Based Complexity) includes a category “3h” to reflect the same notion 3.

The recent AUA guidelines recommend a risk-adapted approach to surgical decision making 4. Specifically, they recommend that surgeons consider radical nephrectomy when an increased oncologic potential is suggested by “tumor size, biopsy, and/or imaging characteristics”4. Previous reports have suggested that hilar masses tend to be of higher grade 57 and are more likely to be upstaged given their proximity to the renal sinus fat and vasculature 8, 9. Moreover, hilar lesions are less amenable to percutaneous tissue sampling, which is increasingly performed for tumor risk stratification4. The decision to pursue active surveillance or complex partial nephrectomy1 for hilar lesions is therefore hampered by the relative lack of information needed to evaluate complex surgical and oncologic tradeoffs. Ultimately many patients are recommended to undergo radical nephrectomy given the location and the concern that these lesions are biologically more aggressive.

The data regarding biological differences of hilar lesions is scarce, limited by small sample sizes, and inconsistencies 58, 10, 11. To date, most of the available data is inferred from analyses aimed at a model development5, 6, which included renal masses of all sizes and seldom discussion of the histopathological differences between hilar and non-hilar masses. Recent reports have had a more focused analysis on small hilar masses8, 9, but these have been limited to patients undergoing robotic partial nephrectomy which limits the generalizability of the results. In this analysis, we compare the pathological characteristics and recurrence risks of matched patients undergoing resection of localized, solitary, non-hereditary renal masses (cT1N0M0) with and without radiographic hilum involvement as determined on preoperative imaging by the R.E.N.A.L. nephrometry scoring system.

Methods:

After institutional review board approval, our prospectively maintained kidney tumor database was queried to identify all patients undergoing renal mass excision (radical or partial nephrectomy) for clinical stage I renal tumors from 2007–2017 with available nephrometry score (NS) data.

Clinical variables evaluated included patient (age, gender and race), tumor (size, NS and hilar designation, and laterality), use of active surveillance (only patients with at least 3 months on surveillance were considered), pathologic (histology, grade and size) and operative (estimated blood loss, operative time, partial vs radical, open vs. Laparoscopic/Robotic, and length of hospital stay) characteristics. Tumor anatomic characteristics were assessed on pre-operative cross-sectional imaging (CT & MRI) using the R.E.N.A.L. nephrometry scoring system (NS)2. Hilar masses, designated as “h” in NS, were defined as tumors that abut the first order renal vessels (renal artery or vein). Patients were stratified into low (NS 4–6), intermediate (NS 7–9), and high (NS 10–12) anatomic complexity groups. As part of our prospectively maintained kidney cancer database, NS is calculated and recorded for each renal mass at surgery and verified by two physicians familiar with the R.E.N.A.L nephrometry scoring system. Tumor stage was designated according to the 2010 American Joint Committee on Cancer/International Union Against Cancer classification system. Renal mass upstaging was defined as cT1 renal masses which on pathological review were noted to have pT3a characteristics (extra-capsular extension, sinus fat invasion, and histological vascular invasion into segmental vessels). Disease recurrence was defined as any distant or local recurrence that occurred following treatment of the index lesion.

Management options including the role of biopsy, surveillance, surgical technique, and approach (robotic vs. open) were at the discretion of the primary surgeon and determined on a case-by-case basis. Robotic procedures typically employed a three-arm technique with port location tailored to the location of the renal tumor and hilum 12. Open approaches were generally performed via an extraperitoneal flank incision as previously described 13.

Demographic, procedural, and pathologic characteristics were compared between hilar and non-hilar tumors. Associations were tested using Wilcoxson sum rank, chi-square, and Fisher’s exact tests. Logistic regression and Cox proportional hazards models were performed to test for predictors of renal mass upstaging (cT1 → ≥pT3a) and disease recurrence, respectively. All analyses were performed using SAS 9.3 with p-values < 0.05 considered statistically significant.

Results:

A total of 1324 patients with clinical stage 1 (cT1NoMo) renal masses and nephrometry scores were identified as eligible for analysis. The cohort consisted predominantly of Caucasian (86.2%) men (63.8%) with a median age of 60 (20–89) (Table 1). Active surveillance (AS) rates between the two cohorts were equivalent (hilar: 6.2% vs. non-hilar: 7.0%, p=0.516), with non-hilar masses having a non-significantly longer mean-time on AS than hilar lesions (hilar: 8.8 ± 7.6 months vs. non-hilar: 15.2 ± 19.6 months, p=0.507). The majority of patients underwent a nephron-sparing procedure (83.2%) via laparoscopic/robotic approach (70%). Mean pathologic tumor size was 3.5 ± 1.6 cm, with the majority of masses being of moderate (53.5%) nephrometry complexity. 226 (17%) patients were noted to have a hilar lesion based on NS classification. Mass size (p < 0.01) and complexity (p < 0.01) were notably different between hilar and non-hilar masses (Table 1). Nephron-sparing procedures were also less likely to occur in hilar masses (73.0 % vs. 85.3%, p < 0.01). Regarding perioperative factors, only operative time was significantly different between hilar and non-hilar masses (192 min vs.177 min, p < 0.01); with a comparable mean estimated blood loss (177cc vs. 178cc, p = 0.697) and median length of hospital stay (3 days for each, p = 0.756).

Table. 1.

Patient Demographics and Tumor Characteristics

Variable All Non-Hilar Hilar p-value
N 1324 1098 226
Age (years) 60 (20–89) 60 (20–89) 60 (27–87) 0.986
Men 845 63.8% 705 64.2% 140 61.9% 0.520
Race
White 1141 86.2% 948 86.3% 193 85.4% 0.709
African American 139 10.5% 118 10.7% 21 9.3% 0.516
Other 44 3.3% 32 2.9% 12 5.3% 0.065
Type of Procedure
Partial 1102 83.2% 937 85.3% 165 73.0% <0.01
Robotic 927 70.0% 777 70.8% 150 66.4% 0.189
Tumor Complexity
Low Complexity 403 30.4% 383 34.9% 20 8.8% <0.01
Moderate Complexity 709 53.5% 575 52.4% 134 59.3% 0.057
High Complexity 212 16.0% 140 12.8% 72 31.9% <0.01
Tumor Size (cm) 3.5 ± 1.6 3.4 ± 1.5 3.9 ± 1.6 <0.01
Estimated Blood Loss (cc) 178 (<20–2800) 178 (<20–2800) 177 (<20–1800) 0.697
Operative Time (min) 178 (<60–550) 177 (<60–486) 192 (<20–550) <0.01
Length of Stay (days) 3 (1–24) 3 (3–24) 3 (<60–486) 0.756
Active Surviellance (AS) 91 7.0% 77 7.0% 3 (1–20) 0.516
Mean time on AS (mo) 14.3 ± 18.6 15.2 ± 19.6 8.8 ±7.6 0.507
Recurrence 37 2.8% 26 2.4% 11 4.9% 0.021

The histopathological distribution of the cohort is shown in Table 2. On histopathological assessment, there was no significant difference in the rate of malignancy between anatomically designated hilar and non-hilar masses (87.2% vs. 82.6%, p = 0.09). The incidence of clear cell RCC was significantly higher in hilar masses (69.5% vs. 57.4%, p < 0.01); however, when renal masses were stratified into cT1a and cT1b the trend was only seen in masses > 4 cm in size (cT1a: 61.7% vs. 54.5%, p = 0.123; cT1b: 80.6% vs. 66.1%, p = 0.01). In contrast, angiomyolipoma (AML) histology was more common in non-hilar masses (4.3% vs. 0.9%, p = 0.014). This trend was maintained in cT1a masses (p = 0.03), but not in cT1b masses (p = 0.105).

Table 2.

Histopathological Characteristics of Hilar and Non-Hilar Lesion

cT1 Renal Masses cT1a Renal Masses cT1b Renal Masses
Variable Non-Hilar Hilar p-value Non-Hilar Hilar p-value Non-Hilar Hilar p-value
N 1098 226 824 133 274 93
Malignant 907 82.6% 197 87.2%
Clear Cell 630 57.4% 157 69.5% <0.01 449 54.5% 82 61.7% 0.123 181 66.1% 75 80.6% 0.01
Papillary 181 16.5% 29 12.8% 0.171 134 16.3% 21 15.8% 0.891 47 17.2% 8 8.6% 0.046
Chromophobe 82 7.5% 9 4.0% 0.059 67 8.1% 8 6.0% 0.399 15 5.5% 1 1.1% 0.073
Mixed CC/Pap 5 0.5% 0 0.0% 0.595 4 0.5% 0 0.0% 0.421 1 0.4% 0 0.0% 1.00
Other Malignant 9 0.8% 2 0.9% 1.00 6 0.7% 1 0.8% 1.00 3 1.1% 1 1.1% 1.00
Benign
Oncocytoma 115 10.5% 18 8.0% 0.253 99 12.0% 15 11.3% 0.808 16 5.8% 3 3.2% 0.326
AML 47 4.3% 2 0.9% 0.014 40 4.9% 1 0.8% 0.03 7 2.6% 1 1.1% 0.105
Other Benign 29 2.6% 9 4.0% 0.241 25 3.0% 5 3.8% 0.656 4 1.5% 4 4.3% 0.791
Grade
High Grade (FH 3&4) 377 34.3% 90 39.8% 0.116 243 29.5% 46 34.6% 0.235 134 48.9% 44 47.3% 0.791
Upstaging
(cT1 → ≥pT3a) 72 6.6% 22 9.7% 0.09 33 4.0% 9 6.8% 0.149 39 14.2% 13 14.2% 0.951

The incidence of high grade histology (Fuhrman grade 3&4) in the cohort was 35.2%. There was no significant difference in the incidence of high grade histology between hilar and non-hilar masses (39.8% vs. 34.3%, p =0.116), and this trend remained following stratification of masses into cT1a (p = 0.235) and cT1b (p = 0.791) sub-categories (Table.2). Furthermore, the risk of upstaging on pathologic examination (ie cT1 → ≥pT3a) was equivalent for hilar and non-hilar masses (p = 0.09) (Table 2). Extra-capsular extension was more commonly seen in non-hilar masses (p = 0.018); whereas, no difference was seen in regards to renal sinus fat invasion or vascular invasion (p= 0.269 and p = 0.236) (Supplementary Table 1). On regression analysis (Table 3), predictors of upstaging were increasing age (OR 1.02 [CI 1.00–1.04], p=0.037), Caucasian race (OR 2.52 [CI 1.04–6.09], p= 0.04), high complexity per NS (OR 2.40 [CI 1.12–5.11], p = 0.024), and increasing mass size (OR 1.46 [CI 1.21–1.76], p <0.001). Hilar location was not associated with renal mass upstaging (OR 1.02 [CI 0.59–1.76], p = 0.955).

Table 3.

Multivariate Models Assessing the Probability of A) Upstaging and B) Recurrence

A) Upstaging (cT1 →≥pT3a)
Parameter Odds Ratio 95% Confidence Limits p value
Age (year) 1.02 1.00 1.04 0.037
Gender (Female vs Male) 0.67 0.41 1.10 0.117
race (Caucasian vs AA/Other) 2.52 1.04 6.09 0.040
cT1b (vs cT1a) 0.98 0.50 1.92 0.953
Intermediate Complexity (vs Low Complexity) 1.23 0.64 2.36 0.527
High Complexity (vs Low Complexity) 2.40 1.12 5.11 0.024
Hilar location 1.02 0.59 1.76 0.955
Mass Size (cm) 1.46 1.21 1.76 <0.001
BMI 1.02 0.98 1.05 0.331
B) Disease Recurrence
Parameter Hazard Ratio 95% Confidence Limits P value
Age (year) 1.04 1.00 1.07 0.028
Gender (Female vs Male) 0.89 0.41 1.95 0.770
Race (Caucasian vs AA/Other) 1.15 0.34 3.88 0.816
Intermediate Complexity (vs Low Complexity) 1.68 0.46 6.17 0.434
High Complexity (vs Low Complexity) 3.16 0.76 13.20 0.114
Hilar Location 1.87 0.88 4.01 0.106
≥ pT3a 2.77 1.18 6.46 0.019
High Grade Disease 3.46 1.55 7.72 0.002
Clear cell Histology 2.02 0.74 5.48 0.170
Mass Size (cm) 1.09 0.87 1.37 0.445
BMI 1.00 0.95 1.06 0.945

Thirty-Seven (3.9%) patients developed a recurrence following resection at a median follow-up of 39 months. Of these, the majority (92%) were distant recurrences, with only three patients presenting with local recurrences (2 renal fossa and 1 partial nephrectomy bed). On multivariate regression analysis (Table 3), predictors of disease recurrence were increasing age (HR 1.04 [CI 1.00–1.07], p = 0.028), pT3a or greater pathology (HR 2.77 [CI 1.18–6.465], p = 0.019) and high grade disease (3.46 [CI 1.55–7.72], p = 0.002). Hilar location was not associated with disease recurrence (HR 1.87 [CI 0.88–4.01], p = 0.106).

Discussion:

The recent recommendation from the AUA guidelines4 for a risk-adapted approach for the treatment of localized renal masses places special emphasis on the pre-operative evaluation, which includes a detailed review of the patient’s health status, diagnostic imaging, biopsy pathology if feasible and clinically meaningful, and the patient’s support network. Renal mass characterization 2, 3, 14, 15 on imaging has been the most widely used and validated method to predict treatment outcomes such as renal mass histology 5, 6, 8, post-treatment complications 1619, and oncological outcomes 5, 8, 19. Hilar tumor location has been suggested as a key radiological finding associated with increased risk of high-grade pathology 57, upstaging 8, 9 and more complex surgical decision making; yet, a detailed histopathological review of hilar masses remains lacking.

We aimed to analyze the histopathological characteristics of hilar lesions compared to non-hilar lesion classified per the R.E.N.A.L. Nephrometry score2. In our analysis, we noted no difference in the incidence of malignancy (hilar: 87.2% vs. non-hilar: 82.6%, p=0.612), or high grade disease (hilar: 39.8% vs. non-hilar: 34.3 %, p= 0.116). The above findings are contrary to prior published reports and current conceptions on the histopathological make-up of hilar masses. Kutikov and colleagues5 were the first to report on the association between hilar location and high-risk pathology when the R.E.N.A.L nephrometry scoring system was modeled to predict renal mass histology and grade. Although comparative analysis and univariate modeling suggested that hilar masses may be biologically aggressive; multivariate analysis failed to show that a hilar location was predictive high-grade disease (OR 1.16 [CI 0.69–1.95], p = 0.583). In fact, that analysis primarily noted that increasing mass size was the overriding factor in determining high-grade pathology and no explicit comparison of histology was made based on hilar location alone.

On review of histological subtypes clear cell RCC was more common in hilar masses (69.5% vs. 57.4%, p< 0.01), but the difference was only significant for larger cT1b lesions (p=0.01). In contrast, AML histology (predominantly lipid-poor) was more common in non-hilar masses (4.3% vs. 0.9%, p=0.014). Several reports10, 11, 20 correlating renal mass location with histological subtypes have been published, with none of them reporting consistent results. One must wonder if the results obtain here and elsewhere are the result of selection bias or limited sampling rather than a true biological phenomenon.

Clinicians may believe that there is a higher risk of upstaging of renal hilar lesions based on their juxtaposition to sinus structures such as renal vessels and peri-sinus fat. This is sometimes used as a soft justification for radical nephrectomy. Importantly, hilar masses have been identified in two separate studies as a risk factor for upstaging 8, 9 (cT1 → pT3a), prompting caution when considering a nephron-sparing approach. In this, the largest review on the topic, the risk of upstaging was similar between hilar and non-hilar masses (9.7 vs. 6.6%, p=0.09), a trend which was consistent when lesions were stratified by size into cT1a (p=0.149) and cT1b (p=0.951) renal masses. On regression analysis factors associated with upstaging were age, Caucasian race, high tumor complexity, and tumor size, which are consistent with previous reports 8, 9. On review of up-staging characteristics, invasion into the perinephric fat was significantly higher in non-hilar masses; whereas, vascular and sinus fat invasion was comparable between the two locations (Supplementary Table 1). This finding is of great importance given the perceived risk of invasion into juxtaposed vascular and sinus structures that some associate with hilar masses, prompting clinicians to select radical nephrectomy over a nephron-sparing procedure. The contradictory findings noted in the present study are likely related to the more comprehensive nature of the analysis. In contrast to prior reports, our analysis includes patients managed with both radical and partial nephrectomy which limits the selection bias seen in prior studies8, 9 which focused on patients undergoing a robotic partial nephrectomy only.

Disease recurrence occurred in approximately 3% of the cohort. The majority of the recurrences were distant with only three recurrences occurring locally. All local recurrences occurred in patients with non-hilar masses, and two of these occurred following radical nephrectomy. On multivariate modeling, only age and pathological factors (≥pT3a stage, and high-grade disease), not hilar location, were associated with recurrence consistent with previous published reports 21, 22.

The current study is limited by its retrospective design as well as lack of an external pathological validation. The retrospective nature of the study inherently adds selection bias to the findings. Nonetheless, the non-significant difference in the use of active surveillance between hilar and non-hilar lesions allows for a reasonable comparison between the groups. A second limitation is the limited sample size, though our cohort represents the largest published analysis of strictly-defined hilar masses using a nephrometry scoring system to date. Lastly, the median follow-up of 39 months may be too short to identify some late recurrences as this has been found to occur past 60 month follow-up23.

As we continue to rely heavily on pre-operative information to better counsel patients in their treatment options, it is important we continue to re-evaluate preconceived risk factors. Here we provide a detailed histopathological review of hilar masses resected at a single institution over a 10 year period. In contrast to previous reports 59, our results show no significant differences in the histopathological make-up of hilar and non-hilar tumors. These findings suggest that concern for more aggressive tumor biology in hilar lesions may be unfounded and should not present a contraindication to nephron-sparing procedures alone. Clinical decision making in cases of hilar cT1 lesions should focus on surgical techniques and perioperative risks rather than biological ones. The results of this review should be externally validated and integrated into the decision-making process when counseling patients presenting with these complex lesions.

Conclusion:

Renal lesions located near the hilum present a treatment quandary to the treating physician due to difficulties with preoperative biopsy and the technical complexity associated with a nephron-sparing procedure. Moreover, existing published data report that these masses exhibit higher pathological risk features. Here we present a comprehensive histopathological review of a large cohort of cT1 of hilar lesions, noting no difference in the risk of malignancy, high nuclear grade, or upstaging when compared to non-hilar lesions. These data suggest that there is no compelling biological reason to perform a radical nephrectomy solely based on a renal tumor’s hilar location. Differences in surgical risks, perioperative complications, and competing functional (renal and non-renal) considerations should be at the core of decision-making for complex renal hilar lesions. We hope that these findings add to the information available to practicing physicians so they might better counsel their patients presenting with complex renal hilar tumors.

Supplementary Material

1

Acknowledgements:

We would like to acknowledge Michelle Williams and Debra Kister for their work maintaining the prospective kidney cancer database.

Financial Sources: This publication was supported in part by grants from the National Cancer Institute (P30 CA006927), funding from the Betz Family Endowment for Cancer Research, and the Gitlin, Scheller, Foundations. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.

Footnotes

Andres F. Correa, MD: No financial disclosures

Hilary Yankey, B.S: No financial disclosures

Tianyu Li, MS: No financial disclosures

Shreyas S. Joshi, MD: No financial disclosures

Alexander Kutikov, MD: No financial disclosures

David Y. Chen, MD: No financial disclosures

Rosalia Viterbo, MD: No financial disclosures

Richard E. Greenberg, MD: No financial disclosures

Marc C. Smaldone, MD, MSHP: No financial disclosures

Robert G. Uzzo, MD: No financial disclosures

Conflicts of Interest: None

Contributor Information

Andres F. Correa, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

Hilary Yankey, Lewis Katz School of Medicine, Temple University, Philadelphia PA.

Tianyu Li, Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia PA.

Shreyas S. Joshi, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

Alexander Kutikov, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

David Y. Chen, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

Rosalia Viterbo, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

Richard E. Greenberg, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

Marc C. Smaldone, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

Robert G. Uzzo, Department of Surgical Oncology, Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia PA.

References:

  • 1.Lebed B, Jani SD, Kutikov A, Iffrig K, Uzzo RG. Renal Masses Herniating into the Hilum: Technical Considerations of the “Ball-Valve Phenomenon” During Nephron Sparing Surgery. Urology. 2010;75:707–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kutikov A, Uzzo RG. The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth. The Journal of urology. 2009;182:844–853. [DOI] [PubMed] [Google Scholar]
  • 3.Spaliviero M, Poon BY, Karlo CA, et al. AN ARTERIAL BASED COMPLEXITY (ABC) SCORING SYSTEM TO ASSESS THE MORBIDITY PROFILE OF PARTIAL NEPHRECTOMY. European urology. 2016;69:72–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Campbell S, Uzzo RG, Allaf ME, et al. Renal Mass and Localized Renal Cancer: AUA Guideline. J Urol 2017. [DOI] [PubMed] [Google Scholar]
  • 5.Kutikov A, Smaldone MC, Egleston BL, et al. Anatomic features of enhancing renal masses predict malignant and high-grade pathology: a preoperative nomogram using the RENAL Nephrometry score. European urology. 2011;60:241–248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wang H-K, Zhu Y, Yao X-D, et al. External Validation of a Nomogram Using RENAL Nephrometry Score to Predict High Grade Renal Cell Carcinoma. The Journal of urology. 2012;187:1555–1560. [DOI] [PubMed] [Google Scholar]
  • 7.Satasivam P, Sengupta S, Rajarubendra N, Chia PH, Munshey A, Bolton D. Renal lesions with low R.E.N.A.L nephrometry score are associated with more indolent renal cell carcinomas (RCCs) or benign histology: findings in an Australian cohort. BJU Int 2012;109 Suppl 3:44–47. [DOI] [PubMed] [Google Scholar]
  • 8.Gorin MA, Ball MW, Pierorazio PM, et al. Outcomes and Predictors of Clinical T1 to Pathological T3a Tumor Up-Staging after Robotic Partial Nephrectomy: A Multi-Institutional Analysis. The Journal of urology. 2013;190:1907–1911. [DOI] [PubMed] [Google Scholar]
  • 9.Dulabon LM, Kaouk JH, Haber GP, et al. Multi-institutional analysis of robotic partial nephrectomy for hilar versus nonhilar lesions in 446 consecutive cases. European urology. 2011;59:325–330. [DOI] [PubMed] [Google Scholar]
  • 10.Schachter LR, Bach AM, Snyder ME, Kattan MW, Russo P. The impact of tumour location on the histological subtype of renal cortical tumours. BJU Int 2006;98:63–66. [DOI] [PubMed] [Google Scholar]
  • 11.Mason RJ, Abdolell M, Rendon RA. Tumour location as a predictor of benign disease in the management of renal masses. Canadian Urological Association Journal. 2010;4:414–417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Scoll BJ, Uzzo RG, Chen DY, et al. Robot-assisted partial nephrectomy: a large single-institutional experience. Urology. 2010;75:1328–1334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Uzzo RG, Novick AC. Nephron sparing surgery for renal tumors: indications, techniques and outcomes. The Journal of urology. 2001;166:6–18. [PubMed] [Google Scholar]
  • 14.Ficarra V, Novara G, Secco S, et al. Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery. European urology. 2009;56:786–793. [DOI] [PubMed] [Google Scholar]
  • 15.Simmons MN, Ching CB, Samplaski MK, Park CH, Gill IS. Kidney tumor location measurement using the C index method. The Journal of urology. 2010;183:1708–1713. [DOI] [PubMed] [Google Scholar]
  • 16.Simhan J, Smaldone MC, Tsai KJ, et al. Objective measures of renal mass anatomic complexity predict rates of major complications following partial nephrectomy. European urology. 2011;60:724–730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Borgmann H, Reiss AK, Kurosch M, et al. R.E.N.A.L. Score Outperforms PADUA Score, C-Index and DAP Score for Outcome Prediction of Nephron Sparing Surgery in a Selected Cohort. The Journal of urology. 2016;196:664–671. [DOI] [PubMed] [Google Scholar]
  • 18.Okhunov Z, Shapiro EY, Moreira DM, et al. R.E.N.A.L. Nephrometry Score Accurately Predicts Complications Following Laparoscopic Renal Cryoablation. The Journal of urology. 2012;188:1796–1800. [DOI] [PubMed] [Google Scholar]
  • 19.Schmit GD, Thompson RH, Kurup AN, et al. Usefulness of R.E.N.A.L. Nephrometry Scoring System for Predicting Outcomes and Complications of Percutaneous Ablation of 751 Renal Tumors. The Journal of urology. 2013;189:30–35. [DOI] [PubMed] [Google Scholar]
  • 20.Correa AF, Toussi A, Amin M, et al. Small Renal Masses in Close Proximity to the Collecting System and Renal Sinus Are Enriched for Malignancy and High Fuhrman Grade and Should Be Considered for Early Intervention. Clinical genitourinary cancer. 2018;16:e729–e733. [DOI] [PubMed] [Google Scholar]
  • 21.Sorbellini M, Kattan MW, Snyder ME, et al. A postoperative prognostic nomogram predicting recurrence for patients with conventional clear cell renal cell carcinoma. The Journal of urology. 2005;173:48–51. [DOI] [PubMed] [Google Scholar]
  • 22.Thompson RH, Leibovich BC, Lohse CM, et al. Dynamic outcome prediction in patients with clear cell renal cell carcinoma treated with radical nephrectomy: the D-SSIGN score. The Journal of urology. 2007;177:477–480. [DOI] [PubMed] [Google Scholar]
  • 23.Park YH, Baik KD, Lee YJ, Ku JH, Kim HH, Kwak C. Late recurrence of renal cell carcinoma >5 years after surgery: clinicopathological characteristics and prognosis. BJU international. 2012;110:E553–558. [DOI] [PubMed] [Google Scholar]

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