Log in

Impact of perinephric fat volume and the Mayo Adhesive Probability score on time to clam** in robot-assisted partial nephrectomy

  • Research
  • Published:
Journal of Robotic Surgery Aims and scope Submit manuscript

Abstract

The aim of this study is to evaluate the association of perinephric fat volume (PNFV) and the Mayo Adhesive Probability (MAP) score with time to clam** (TTC) in robot-assisted partial nephrectomy (RAPN). The study subjects consisted of 73 tumors in 72 patients who underwent transperitoneal RAPN at a single cancer center between February 2020 and July 2022. Clinical characteristics including R.E.N.A.L. nephrometry score, MAP score and PNFV were evaluated in a multivariate analysis in relation to TTC, which was classified into two groups based on median TTC. PNFV and MAP score were analyzed separately. PNFVs were measured by SYNAPSE VINCENT® by a single expert urologist. Median TTC was 67 (range: 36–119) min. Spearman’s rank correlation analysis indicated that a significant correlation was observed between PNFV and MAP score with a value of 0.81 (p < 0.0001). Univariate analysis revealed that R.E.N.A.L. nephrometry score ≥ 7 (p = 0.036), posterior tumor location (p = 0.033), MAP score ≥ 3 (p = 0.02) and PNFV ≥ 250 ml (p = 0.02) were significant factors for prolonged TTC. In a multivariate analysis including PNFV (analysis 1), R.E.N.A.L. nephrometry score ≥ 7 (OR 3.54, p = 0.018) and PNFV ≥ 250cm3 (OR 3.94, p = 0.010) were independent factors for prolonged TTC. Similarly for MAP score (analysis 2), R.E.N.A.L. nephrometry score ≥ 7 (OR 3.54, p = 0.018) and MAP score ≥ 3 (OR 3.94, p = 0.010) were independent factors for prolonged TTC. Both MAP score and PNFV may have a significant impact on TTC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Campbell SC, Novick AC, Belldegrun A, Blute ML, Chow GK, Derweesh IH et al (2009) Guideline for management of the clinical T1 renal mass. J Urol 182(4):1271–1279. https://doi.org/10.1016/j.juro.2009.07.004

    Article  PubMed  Google Scholar 

  2. Van Poppel H, Da Pozzo L, Albrecht W, Matveev V, Bono A, Borkowski A et al (2011) A prospective, randomised EORTC intergroup phase 3 study comparing the oncologic outcome of elective nephron-sparing surgery and radical nephrectomy for low-stage renal cell carcinoma. Eur Urol 59(4):543–552. https://doi.org/10.1016/j.eururo.2010.12.013

    Article  PubMed  Google Scholar 

  3. Kunath F, Schmidt S, Krabbe LM, Miernik A, Dahm P, Cleves A et al (2017) Partial nephrectomy versus radical nephrectomy for clinical localised renal masses. Cochrane Database Syst Rev 5:CD012045. https://doi.org/10.1002/14651858.CD012045.pub2

    Article  PubMed  Google Scholar 

  4. Kutikov A, Uzzo RG (2009) The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth. J Urol 182(3):844–853. https://doi.org/10.1016/j.juro.2009.05.035

    Article  PubMed  Google Scholar 

  5. Borgmann H, Reiss AK, Kurosch M, Filmann N, Frees S, Mager R et al (2016) 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. J Urol 196(3):664–671. https://doi.org/10.1016/j.juro.2016.03.176

    Article  PubMed  Google Scholar 

  6. Veccia A, Antonelli A, Uzzo RG, Novara G, Kutikov A, Ficarra V et al (2020) Predictive value of nephrometry scores in nephron-sparing surgery: a systematic review and meta-analysis. Eur Urol Focus 6(3):490–504. https://doi.org/10.1016/j.euf.2019.11.004

    Article  PubMed  Google Scholar 

  7. Davidiuk AJ, Parker AS, Thomas CS, Leibovich BC, Castle EP, Heckman MG et al (2014) Mayo adhesive probability score: an accurate image-based scoring system to predict adherent perinephric fat in partial nephrectomy. Eur Urol 66(6):1165–1171. https://doi.org/10.1016/j.eururo.2014.08.054

    Article  PubMed  Google Scholar 

  8. Martin L, Rouviere O, Bezza R, Bailleux J, Abbas F, Schott-Pethelaz AM et al (2017) Mayo adhesive probability score is an independent computed tomography scan predictor of adherent perinephric fat in open partial nephrectomy. Urology 103:124–128. https://doi.org/10.1016/j.urology.2016.11.043

    Article  PubMed  Google Scholar 

  9. Leow JJ, Heah NH, Chang SL, Chong YL, Png KS (2016) Outcomes of robotic versus laparoscopic partial nephrectomy: an updated meta-analysis of 4919 patients. J Urol 196(5):1371–1377. https://doi.org/10.1016/j.juro.2016.06.011

    Article  PubMed  Google Scholar 

  10. Choi JE, You JH, Kim DK, Rha KH, Lee SH (2015) Comparison of perioperative outcomes between robotic and laparoscopic partial nephrectomy: a systematic review and meta-analysis. Eur Urol 67(5):891–901. https://doi.org/10.1016/j.eururo.2014.12.028

    Article  PubMed  Google Scholar 

  11. Alimi Q, Peyronnet B, Sebe P, Cote JF, Kammerer-Jacquet SF, Khene ZE et al (2018) Comparison of short-term functional, oncological, and perioperative outcomes between laparoscopic and robotic partial nephrectomy beyond the learning curve. J Laparoendosc Adv Surg Tech A 28(9):1047–1052. https://doi.org/10.1089/lap.2017.0724

    Article  PubMed  Google Scholar 

  12. Kaouk JH, Khalifeh A, Hillyer S, Haber GP, Stein RJ, Autorino R (2012) Robot-assisted laparoscopic partial nephrectomy: step-by-step contemporary technique and surgical outcomes at a single high-volume institution. Eur Urol 62(3):553–561. https://doi.org/10.1016/j.eururo.2012.05.021

    Article  PubMed  Google Scholar 

  13. Motoyama D, Matsushita Y, Watanabe H, Tamura K, Ito T, Sugiyama T et al (2019) Significant impact of three-dimensional volumetry of perinephric fat on the console time during robot-assisted partial nephrectomy. BMC Urol 19(1):132. https://doi.org/10.1186/s12894-019-0567-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Kano T, Kim H, Kawakami M, Nitta M, Hasegawa M, Shoji S et al (2022) Preoperative factors affecting the operative outcomes of laparoscopic nephrectomy. Int J Urol 29(7):757–763. https://doi.org/10.1111/iju.14892

    Article  PubMed  Google Scholar 

  15. Miyake H, Muramaki M, Tanaka K, Takenaka A, Fujisawa M (2010) Impact of body mass index on perioperative outcomes of laparoscopic radical nephrectomy in Japanese patients with clinically localized renal cell carcinoma. Int J Urol 17(6):522–526. https://doi.org/10.1111/j.1442-2042.2010.02512.x

    Article  PubMed  Google Scholar 

  16. Kwon SY, Bae JJ, Lee JG, Choi SH, Kim BS, Yoo ES et al (2011) Obesity is an adverse factor on laparoscopic radical nephrectomy for t2 but not t1 renal cell carcinoma. Korean J Urol 52(8):538–542. https://doi.org/10.4111/kju.2011.52.8.538

    Article  PubMed  PubMed Central  Google Scholar 

  17. Marchioni M, Berardinelli F, Zhang C, Simone G, Uzzo RG, Capitanio U et al (2020) Effect of obesity and overweight status on complications and survival after minimally invasive kidney surgery in patients with clinical T2–4 renal masses. J Endourol 34(3):289–297. https://doi.org/10.1089/end.2019.0604

    Article  PubMed  Google Scholar 

  18. Hagiwara M, Miyajima A, Hasegawa M, **zaki M, Kikuchi E, Nakagawa K et al (2012) Visceral obesity is a strong predictor of perioperative outcome in patients undergoing laparoscopic radical nephrectomy. BJU Int 110:E980-984. https://doi.org/10.1111/j.1464-410X.2012.11274.x

    Article  PubMed  Google Scholar 

  19. Fernandez-Pello S, Verma N, Kuusk T, Berezowska A, Mumtaz F, Patki P et al (2022) Perioperative impact of body mass index on upper urinary tract and renal robot-assisted surgery: a single high-volume centre experience. J Robot Surg 16(3):611–619. https://doi.org/10.1007/s11701-021-01285-6

    Article  PubMed  Google Scholar 

  20. Raman JD, Reynolds C, Hannon M (2016) An increasing proportion of perinephric to subcutaneous fat is associated with adverse perioperative outcomes of robotic partial nephrectomy. J Robot Surg 10(3):255–259. https://doi.org/10.1007/s11701-016-0593-9

    Article  PubMed  Google Scholar 

  21. Gorin MA, Mullins JK, Pierorazio PM, Jayram G, Allaf ME (2013) Increased intra-abdominal fat predicts perioperative complications following minimally invasive partial nephrectomy. Urology 81(6):1225–1230. https://doi.org/10.1016/j.urology.2012.12.053

    Article  PubMed  Google Scholar 

  22. Muto S, Kawano H, Isotani S, Ide H, Horie S (2018) Novel semi-automated kidney volume measurements in autosomal dominant polycystic kidney disease. Clin Exp Nephrol 22(3):583–590. https://doi.org/10.1007/s10157-017-1486-6

    Article  PubMed  Google Scholar 

  23. Leslie S, Gill IS, de Castro Abreu AL, Rahmanuddin S, Gill KS, Nguyen M et al (2014) Renal tumor contact surface area: a novel parameter for predicting complexity and outcomes of partial nephrectomy. Eur Urol 66(5):884–893. https://doi.org/10.1016/j.eururo.2014.03.010

    Article  PubMed  Google Scholar 

  24. Khene ZE, Peyronnet B, Mathieu R, Fardoun T, Verhoest G, Bensalah K (2015) Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy. World J Urol 33(11):1801–1806. https://doi.org/10.1007/s00345-015-1500-0

    Article  PubMed  Google Scholar 

  25. Davidiuk AJ, Parker AS, Thomas CS, Heckman MG, Custer K, Thiel DD (2015) Prospective evaluation of the association of adherent perinephric fat with perioperative outcomes of robotic-assisted partial nephrectomy. Urology 85(4):836–842. https://doi.org/10.1016/j.urology.2014.12.017

    Article  PubMed  Google Scholar 

  26. Kocher NJ, Kunchala S, Reynolds C, Lehman E, Nie S, Raman JD (2016) Adherent perinephric fat at minimally invasive partial nephrectomy is associated with adverse peri-operative outcomes and malignant renal histology. BJU Int 117(4):636–641. https://doi.org/10.1111/bju.13378

    Article  PubMed  Google Scholar 

  27. Ishiyama R, Kondo T, Takagi T, Iizuka J, Kobayashi H, Omae K et al (2018) Impact of the Mayo adhesive probability score on the complexity of robot-assisted partial nephrectomy. J Endourol 32(10):928–933. https://doi.org/10.1089/end.2017.0779

    Article  PubMed  Google Scholar 

  28. Macleod LC, Hsi RS, Gore JL, Wright JL, Harper JD (2014) Perinephric fat thickness is an independent predictor of operative complexity during robot-assisted partial nephrectomy. J Endourol 28(5):587–591. https://doi.org/10.1089/end.2013.0647

    Article  PubMed  Google Scholar 

  29. Yao Y, Xu Y, Gu L, Liu K, Li P, Xuan Y et al (2020) The Mayo adhesive probability score predicts longer dissection time during laparoscopic partial nephrectomy. J Endourol 34(5):594–599. https://doi.org/10.1089/end.2019.0687

    Article  PubMed  Google Scholar 

  30. Dim F, Vittori G, Campi R, Mari A, Tellini R, Sforza S et al (2021) Clinical predictors and significance of adherent perinephric fat assessed with Mayo adhesive probability (MAP) score and perinephric fat surface density (PnFSD) at the time of partial nephrectomy for localized renal mass. A single high-volume referral center experience. Minerva Urol Nephrol 73(2):225–232. https://doi.org/10.23736/S2724-6051.20.03698-X

    Article  Google Scholar 

  31. Chang Y, An H, Xu L, Zhu Y, Yang Y, Lin Z et al (2015) Systemic inflammation score predicts postoperative prognosis of patients with clear-cell renal cell carcinoma. Br J Cancer 113(4):626–633. https://doi.org/10.1038/bjc.2015.241

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Dariane C, Le Guilchet T, Hurel S, Audenet F, Beaugerie A, Badoual C et al (2017) Prospective assessment and histological analysis of adherent perinephric fat in partial nephrectomies. Urol Oncol 35(2):39 e9-39 e17. https://doi.org/10.1016/j.urolonc.2016.09.008

    Article  PubMed  Google Scholar 

  33. Bylund JR, Qiong H, Crispen PL, Venkatesh R, Strup SE (2013) Association of clinical and radiographic features with perinephric “sticky” fat. J Endourol 27(3):370–373. https://doi.org/10.1089/end.2012.0205

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other support was received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

YN: study conception, data acquisition, data analysis, drafting the manuscript, statistical analysis, and obtaining funding. KH, RY, YU, NO and MK: data acquisition and data analysis. SY: data acquisition, data analysis and critical revision. HM: concept and design, data analysis, drafting the manuscript, critical revision and supervision. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yasukazu Nakanishi.

Ethics declarations

Conflict of interest

The authors have no related conflict of interest to declare.

Ethical approval

This study was reviewed and approved by the Ethical Committee of National Cancer Center Hospital East.

Consent for publication

All authors listed above give full consent for the manuscript to be published.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakanishi, Y., Hirose, K., Yasujima, R. et al. Impact of perinephric fat volume and the Mayo Adhesive Probability score on time to clam** in robot-assisted partial nephrectomy. J Robotic Surg 17, 1485–1491 (2023). https://doi.org/10.1007/s11701-023-01544-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11701-023-01544-8

Keywords

Navigation