Renal vascular patterns assessment before robot-assisted partial nephrectomy: a video-based correlation with hilum dissection
https://ror.org/05yn9cj95grid.417290.90000 0004 0627 3712Department of Urology, Sorlandet Hospital, Kristiansand, Norway
https://ror.org/00pk1yr39grid.414311.20000 0004 0414 4503Department of Urology, Sorlandet Hospital, Arendal, Norway
Abstract
Purpose
Surgical video review (SVR) is an emerging tool for assessing patient outcomes, especially in complex surgeries such as robot-assisted partial nephrectomy (RAPN). Adhesive probability and morphological scores are used to evaluate fat management and warm ischemia, respectively; however, the factors influencing renal hilum control (RHC) during RAPN have not yet been assessed. The aim of this study is to use SVR to identify the renal vascular patterns and factors that influence RHC.
Methods
We evaluated 60 surgical video recordings of patients undergoing RAPN in 2023–2024, and measured the time to hilum control (THC) and total operation time (TOT) using a stopwatch. Patient and surgical factors were recorded and SPSS software was used to identify the correlation of these factors and vascular patterns with THC.
Results
We observed a median THC of 22.7 min representing 15.1% of TOT. A significant correlation was found between previous renal surgery (p = 0.033), complex vascular anatomy on the right side (artery bifurcation behind IVC) or left side (more than one artery) (p = 0.02) and a longer THC. No significant difference was found between surgeons (p = 0.753) or surgical approach (transperitoneal vs. retroperitoneal, p = 0.87).
Conclusion
THC represents a relatively short part of the total RAPN time. Previous renal surgery and a complex vascular pattern with artery bifurcation behind IVC on the right side and more than one main renal artery on the left side, can lead to longer THC. A detailed understanding of renal vascular patterns can provide a patient-specific surgical planning and optimise strategies for RAPN.
Introduction
Minimally invasive partial nephrectomy (PN), whenever feasible, is the standard of care for patients diagnosed with T1a and T1b kidney cancer [1]. However, this approach is technically challenging and requires a detailed understanding of renal and tumour surgical anatomy to optimise oncological, functional and perioperative outcomes [2].
Contrast-enhanced computer tomography (CT) of the abdomen is the reference standard for primary imaging of renal tumours and the vascular system. Study the renal arterial anatomy via CT scan has been previously used for arterial tree representation [3]. In approximately 75% of cases, a single renal artery and vein are present, but a high percentage (15–20%) of patients also show anatomic variations such as duplication or early branching [2]. Disposition of the renal hilar structures and their numbers are significantly more variable than the classical pattern given in standard textbooks of anatomy, and a precise knowledge of both normal and variant anatomies of renal hilum is essential in the era of robotic surgery [4].
Robotic surgery platforms enable high-quality video recordings, providing greater magnification and closer views of anatomical details. Surgical video review (SVR) is an emerging tool for assessing patient outcomes [5], especially in complex surgeries such as robot-assisted PN (RAPN). Three key surgical phases are critical during RAPN: renal hilum control (RHC), fat management and warm ischemia time (WIT). Adhesive probability and morphological scores are respectively used to evaluate fat management [6] and warm ischemia [7], along with SVR; however, the factors influencing RHC during RAPN have not yet been assessed.
The aim of this study is to use SVR to identify the factors that influence RHC according to the renal vascular patterns identified via renal CT scan.
Material and methods
The storage of recorded surgical videos for a period of time is mandatory in Norway to ensure quality of healthcare services and provide medicolegal evidence. This requirement allowed us to retrospectively review surgical video recordings of 60 consecutive patients undergoing RAPN at our institution between January 2023 and June 2024. All procedures were performed on T1a tumours using Intuitive Xi robotic systems (Intuitive™, Sunnyvale, CA, USA). As part of the kidney cancer surgical team, one surgeon (O.B.) reviewed the video recordings and measured time to hilum control (THC) and total operation time (TOT) using a digital stopwatch and exact visual cues for starting and ending points. For THC, we defined the starting point as when the monopolar-curved scissors’ cut function is first used to dissect the renal hilum (gonadal vein on the left side, inferior vena cava (IVC) on the right side), right after colon decollation for the transperitoneal approach or the posterior opening of Gerota’s fascia, for the retroperitoneal approach. The ending point for THC was defined as when the Hem-o-lock clip is applied to the vessel loop surrounding the renal artery. In cases of more than one artery or the need to clamp the renal vein, the ending point was defined as when the Hem-o-lock clip is applied to the vessel loop surrounding the last vascular structure of the hilum. The TOT compromised the time from the first to the last use of the robotic instruments.
We assessed the renal vascular patterns using evaluation of the arterial and venous phase of the CT scans, performed preoperatively. Eight different vascular patterns (Fig. 1) were identified according to side, four on the right (Type 1R, 2R, 3R and 4R) and four on the left (Type 1L, 2L, 3L and 4L). Also the number of arteries or veins and proximity of the artery bifurcation to aorta were taken into consideration. We defined the anatomy of the renal hilum as easy if only one artery with a late bifurcation (lateral for the IVC on the right side, and more than 2 cm from the aorta on the left side) and one vein were present (Type 1L and 1R). Early bifurcation of the artery (behind IVC on the right side for Type 2R, and less than 2 cm from the aorta on the left side for type 2L) and more than one vein (Type 3R and 3L) or artery (Type 4R and 4L) was defined as a complex anatomy.
Patient factors such as age, BMI, previous renal surgery, inflammation (pyelonephritis or pancreatitis), radiation and immunotherapy were collected from patients’ medical records, as well as vascular anatomy and patterns observed in CT scans. Surgical factors such as intraoperative bleeding during RHC, surgeon, and approach were recorded and analysed using descriptive statistics.
We used SPSS software, including independent samples t-test, one-way ANOVA and Bonferroni multiple comparisons to identify the correlation of these factors and vascular patterns with THC. Additionally, we used stepwise multivariable regression models to assess the predictors, and statistical significance was set at p < 0.05.
Results
Population and surgical features are summarised in Table 1. The cohort comprised 72% males and had a median age of 67.5 years and an interquartile range (IQR) of 15. Most of the patients did not have previous kidney surgery, inflammation, radiotherapy or immunotherapy. The operations were distributed between three surgeons in a 1:1.8:1.5 manner and only 18.3% of RAPN were performed via a retroperitoneal approach.Variable Overall
(n = 60)Variable Overall
(n = 60)Age (years)Median [IQR] 67.5 (15) Vascular patternsType 1RType 2RType 3RType 4RType 1LType 2LType 3LType 4 L 16 (26.7%)6 (10%)6 (10%)3 (5%)18 (30%)2 (3.3%)2 (3.3%)7 (11.7%) Gender Male 43 (71.7%) Female 17 (28.3%) Previous surgery Yes 4 (6.7%) No 56 (93.3%) Previous Inflamation Anatomy Yes 2(3.3%) Easy 34 (56.7%) No 58 (96.7%) Complex 26 (43.3%) Previous radiotherapy Operator Yes 1 (1.7%) 1 14 (23.3%) No 59 (98.3) 2 25 (41.7%) 3 21 (35%) Previous imunotherapy Surgical approach Yes 2 (3.3%) Transperitoneal 49 (81.7%) No 58 (96.7%) Retroperitoneal 11 (18.3%) BMIMedian [IQR] 28.1 (6) Time to hilum control(minutes) Side Median [IQR] 22.7 (17) Right 31 (51.7%) Left 29 (48.3%) Number of arteries Total operative time 1 50 (83.3%) Median [IQR] 133.6 (40) 2 9 (15%) 3 1 (1.7%) Number of veins Intraoperative bleeding 1 53 (88.3%) Yes 4 (8.7%) 2 7 (11.7%) No 56 (91.3%)
More than 80% of the patients had only one artery or one vein and the eight vascular patterns are depicted in Fig. 1. Type 1R and 1L were characterised as easy anatomy and represented more than half of the patients (56.7%).
We observed a median THC of 22.7 min, representing 15.1% of TOT. A significant correlation was found between previous renal surgery and longer THC (p = 0.033), as presented in Table 2.Variable N THC Percent THC/TOT Mean(minutes) */
Correlation**p Mean (%)*/
Correlation. **p Gender* 0.265 0.281 Male 43 24.9 17.2 Female 17 21.2 17.7 Previous surgery 0.033 0.010 Yes 56 23.1 16.7 No 4 35.6 26.5 Previous inflammation Yes 58 23.5 0.129 17.1 0.061 No 2 36.1 27.1 Previous radiation Yes 59 23.9 0.981 17.4 0.588 No 1 24.2 13.1 Previous immunotherapy Yes 58 24.1 0.621 17.4 0.673 No 2 19.9 15.1 Side* 0.231 0.672 Right 31 22.2 16.9 Left 29 25.7 17.7 Renal arteries* 1 50 21.9 0.007 16.3 0.051 2 9 34.7 22.9 3 1 25.4 17.8 Renal veins* 0.482 0.446 1 53 24.3 17.6 2 7 21.0 15.3 Anatomy* Easy 34 19.7 0.001 14.8 0.002 Complex 26 29.4 20.7 Vascular pattern* Type 1RType 2RType 3RType 4RType 1LType 2LType 3LType 4L 16 16.5 0.02 13.1 0.03 6 34.5 25.9 6 20.6 15.8 3 30.7 22.0 18 22.5 16.3 2 24.3 18.9 2 23.8 12.8 7 35.1 22.6 Operator* 0.753 0.220 1 14 25.9 19.5 2 25 23.4 17.9 3 21 23.1 15.2 Surgical approach* 0.387 0.062 Transperitoneal 49 23.3 16.5 Retroperitoneal 11 26.6 21.1 Intraoperative bleeding* 0.05 0.242 Yes 56 23.1 17.2 No 4 34.6 18.7 Age** 60 .085 0.516 0.016 0.902 BMI** 60 .089 0.499 0.086 0.514
Having a complex vascular anatomy (p = 0.001) with a particular vascular pattern (p = 0.02) and more than one kidney artery (p = 0.007) correlated with longer THC. The Bonferroni multiple comparisons of the vascular patterns demonstrated that type 2R (renal artery bifurcation behind the IVC) and 4L (more than one main artery on the left side) were significantly associated with longer THC compared to the other vascular patterns (Table 3).(I) Vascular pattern (J) Vascular pattern Mean difference (I-J) Std. error Sig 95% Confidence Interval Lower bound Upper bound Type 1R Type 2R −18.0135 4.7379 0.011 −33.616 −2.411 Type 3R −4.0608 4.7379 1.000 −19.664 11.542 Type 4R −14.1913 6.2268 0.750 −34.697 6.315 Type 1L −5.9756 3.4006 1.000 −17.174 5.223 Type 2L −7.7469 7.4228 1.000 −32.192 16.698 Type 3L −7.3135 7.4228 1.000 −31.758 17.131 Type 4L −18.5278 4.4850 0.004 −33.298 −3.758 Type 2R Type 1R 18.0135 4.7379 0.011 2.411 33.616 Type 3R 13.9528 5.7141 0.505 −4.865 32.771 Type 4R 3.8222 6.9983 1.000 −19.225 26.869 Type 1L 12.0380 4.6655 0.357 −3.327 27.403 Type 2L 10.2667 8.0809 1.000 −16.346 36.879 Type 3L 10.7000 8.0809 1.000 −15.912 37.312 Type 4L −0.5143 5.5062 1.000 −18.648 17.619 Type 3R Type 1R 4.0608 4.7379 1.000 −11.542 19.664 Type 2R −13.9528 5.7141 0.505 −32.771 4.865 Type 4R −10.1306 6.9983 1.000 −33.177 12.916 Type 1L −1.9148 4.6655 1.000 −17.279 13.450 Type 2L −3.6861 8.0809 1.000 −30.298 22.926 Type 3L −3.2528 8.0809 1.000 −29.865 23.360 Type 4L −14.4671 5.5062 0.316 −32.600 3.666 Type 4R Type 1R 14.1913 6.2268 0.750 −6.315 34.697 Type 2R −3.8222 6.9983 1.000 −26.869 19.225 Type 3R 10.1306 6.9983 1.000 −12.916 33.177 Type 1L 8.2157 6.1719 1.000 −12.110 28.541 Type 2L 6.4444 9.0348 1.000 −23.309 36.198 Type 3L 6.8778 9.0348 1.000 −22.876 36.631 Type 4L −4.3365 6.8296 1.000 −26.828 18.155 Type 1L Type 1R 5.9756 3.4006 1.000 −5.223 17.174 Type 2R −12.0380 4.6655 0.357 −27.403 3.327 Type 3R 1.9148 4.6655 1.000 −13.450 17.279 Type 4R −8.2157 6.1719 1.000 −28.541 12.110 Type 2L −1.7713 7.3768 1.000 −26.065 22.522 Type 3L −1.3380 7.3768 1.000 −25.632 22.956 Type 4L −12.5522 4.4085 0.176 −27.070 1966 Type 2L Type 1R 7.7469 7.4228 1.000 −16.698 32.192 Type 2R −10.2667 8.0809 1.000 −36.879 16.346 Type 3R 3.6861 8.0809 1.000 −22.926 30.298 Type 4R −6.4444 9.0348 1.000 −36.198 23.309 Type 1L 1.7713 7.3768 1.000 −22.522 26.065 Type 3L 0.4333 9.8971 1.000 −32.160 33.027 Type 4L −10.7810 7.9353 1.000 −36.914 15.352 Type 3L Type 1R 7.3135 7.4228 1.000 −17.131 31.758 Type 2R −10.7000 8.0809 1.000 −37.312 15.912 Type 3R 3.2528 8.0809 1.000 −23.360 29.865 Type 4R −6.8778 9.0348 1.000 −36.631 22.876 Type 1L 1.3380 7.3768 1.000 −22.956 25.632 Type 2L −0.4333 9.8971 1.000 −33.027 32.160 Type 4L −11.2143 7.9353 1.000 −37.347 14.918 Type 4L Type 1R 18.5278 4.4850 0.004 3.758 33.298 Type 2R 0.5143 5.5062 1.000 −17.619 18.648 Type 3R 14.4671 5.5062 0.316 −3.666 32.600 Type 4R 4.3365 6.8296 1.000 −18.155 26.828 Type 1L 12.5522 4.4085 0.176 −1.966 27.070 Type 2L 10.7810 7.9353 1.000 −15.352 36.914 Type 3L 11.2143 7.9353 1.000 −14.918 37.347
Intraoperative bleeding during RHC was low (8.7%) and correlated with longer THC (p = 0.05), though no significant difference was found between surgeons (p = 0.753) or surgical approach (transperitoneal vs. retroperitoneal, p = 0.87).
After stepwise regression, the best model identified to predict THC included anatomical complexity and previous surgery (R-square = 0.281, p = 0.006), as shown in Table 4.Model summary Model R R square Adjusted R square Std. error of the estimate Change statistics R square change F change df1 df2 Sig. F Change 1 0.423a 0.179 0.165 628.490 0.179 12.673 1 58 < 0.001 2 0.530b 0.281 0.256 593.283 0.102 8.088 1 57 0.006
Discussion
Our present study identified, on CT scan, several patterns according to the disposition of the vascular structures in the renal hilum. The analyses revealed which patterns correlate to a more complex anatomy and longer THC.
To the best of our knowledge, no data are available on intraoperative video documentation review for RHC assessment during RAPN. Previous studies have assessed the importance of SVR. For example, De Backer et al. [5] considered 100 RAPNs and showed that surgical phase duration can be correlated with certain clinical outcomes. Kim et al. [6] tested SVR to assess the Mayo adhesive probability score and perirenal fat dissection time. Additionally, our group used SVR to evaluate WIT during RAPN and its impact on surgical margins and complication rate, in a previous study [7].
We found THC to be a relatively short portion (15%) of the TOT. For the present study, TOT depicts the total console surgery time as the time used to achieve pneumoperitoneum or docking the robot were not taken into account. De Backer et al. [5] also found a short time to hilum control with a median of 16 (±11.5) minutes, as compared to 22 min in our study. This could be due to including patients with redo RAPN and complex vascular anatomy in our cohort. Of the 100 patients in the cohort of De Backer et al., 77 procedures were performed offclamp that requires less dissection of all the hilar structures.
Previous renal surgery was registered in four of the patients who underwent a redo RAPN for tumour resection elsewhere in the kidney than previous resection bed. It correlated to longer THC as more fibrosis around the vascular structures in the hilum needed to be dissected in order to achieve RHC. No statistical correlation was found between longer THC and previous inflammation like pyelonephritis or pancreatitis, previous radiotherapy, or previous immunotherapy. This finding could be biased by the low number of patients (only one or two) who did not have such previous conditions. Though previous abdominal surgery poses surgical challenges for PN [8], several studies identified no impact on the outcomes of RAPN [9, 10]. Redo RAPN is considered an effective approach [11], and evidence indicates good feasibility and safety, though it is a challenging procedure [12]. One challenge is RHC and it makes sense that more time is used to dissect the vascular structures, as more fibrosis around the hilar structures is present from previous RHC. Though RAPN remains the preferred option for treating small renal masses, percutaneous cryoablation is a valid alternative, particularly for challenging patients, as shown by Iossa et al. [13]. Two out of four patients who underwent redo RAPN were performed retroperitoneally. This could have biased our results together with a disproportioned percent of only 18% of the patients performed a retroperitoneally approach. This could also explain why we registered longer THC in the retroperitoneal group.
The anatomy of the renal vascular system and its application to PN was initially presented by Graves in 1954 with a special focus on segmental branching of the renal artery and its role in achieving selective ischemia [14]. Later, Trivedi et al. [15] identified six vascular branching patterns of segmental renal artery in an anatomical study and stated that knowledge of these patterns is essential to effective surgical planning in cases of PN and preventing complications. Clamping the segmental renal artery instead of the main renal artery during PN is a promising technique to decrease WIT, and understanding vascular branching patterns is essential for an appropriate hilar approach. However, selective or superselective clamping do not provide better renal function preservation than renal artery conventional clamping, as shown in systematic reviews [16] and randomized controlled trials [17]. This places doubt on the benefit of these techniques which additionally has higher risk of bleeding. To the best of our knowledge, no data are available on renal vascular anatomy with focus on conventional clamping, and our study identified vascular patterns that help for a more detailed understanding of renal vascular anatomy including cases of renal hilar masses, where RAPN is a promising technique [18].
Multiple authors have described the arrangement of renal hilar structures, through anatomical studies, identifying several patterns [4, 19] which included the renal pelvis into their classifications. We used vascular structures in our classification as only the vein and artery are dissected during the RHC for PN. We identified eight patterns, four for each side, including both the normal structure and variations. A complete understanding of underlying normal and aberrant renal anatomy, coupled with patient- and tumour-specific anatomical characteristics, represents the foundation for proper preoperative surgical planning for PN [20]. We determined that having more than one renal artery requires longer THC as more time is expected to be used to dissect all the arteries to be clamped. In our classification, we did not include small accessory arteries that did not need to be clamped during WIT. An early bifurcation of the renal artery on both sides but especially on the right side, as the artery passes behind the IVC made the dissection of the main artery more difficult, and longer THC was observed.
We did not register a statistical significance between the three surgeons. Larcher et al. [21] indicated that RAPN outcomes might be affected by surgeon experience by shortening WIT and lowering the complication rate. The inhomogeneous surgical experience among the surgical team members and the small sample size caused us to evaluate the surgeons as an independent variable, instead of surgeon’s expertise, and that may have biased our results. Intraoperative bleeding rate was low during RHC and correlated with longer THC as more time was needed to control the bleeding before controlling the renal hilum.
Some patient characteristics and comorbidities were not recorded due to the retrospective design of this study. The study was not blinded because SVR requires a trained kidney surgeon to identify the specific steps of the procedure and no interobserver validation of pattern assignment was attempted. The vascular patterns identified in our study are valuable for cases when clamping of the main artery is chosen; for selective clamping, different intrarenal anatomical patterns should be considered. Despite these limitations, our results can be used to optimise preoperative surgical planning for RAPN and provide a basis for developing a hilum complexity score in the future.
Conclusion
THC represents a relatively short part of total console time during RAPN. Previous renal surgery and a complex vascular pattern with artery bifurcation behind IVC on the right side and more than one main renal artery on the left side can lead to longer THC. A detailed understanding of renal vascular patterns can provide patient-specific surgical planning and optimise surgical strategies for RAPN.
Acknowledgements
This study was approved by the Institutional Review Board of our institution. The use of surgical video content for extracting quality improvement and educational material was subject to written approval by the patient and all the patients in our study signed an informed consent form.
Funding
Open access funding provided by Sørlandet Sykehus HF.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Conflict of interest
The authors declare no competing interests.