Literature DB >> 34145871

[Three dimensional nephrometry system for partial nephrectomy: Our initial exploration].

X F Li1, Y J Peng1, X T Yu1, S W Xiong1, S D Cheng1, G P Ding1, K L Yang1, Q Tang1, Y Mi1, J Y Wu1, P Zhang2, J X Xie1, H Hao1, H Wang3, J X Qiu3, J Yang4, X S Li1, L Q Zhou1.   

Abstract

OBJECTIVE: To construct a preoperative evaluation system for partial nephrectomy using CT three-dimensional visualization technology and to explore its practical value.
METHODS: The clinical data of the patients who underwent partial nephrectomy for renal tumors in Department of Urology, Peking University First Hospital were collected retrospectively. At the same time, the homogenized standard data of patients who underwent partial nephrectomy for renal tumors were collected in 16 clinical centers in China. The CT three-dimensional visualization system was applied (IPS system, Yorktal) to evaluate tumor anatomy, blood supply, perirenal fat and other information. The parameters were summarized to build a three-dimensional nephrometry system, on the basis of which virtual surgery design and intraoperative navigation were completed.
RESULTS: A three-dimensional visualization image was established based on the enhanced CT urography. The nephrometry system included the longest diameter and volume of the tumor, proportion volume of tumor invading the parenchyma, maximum depth of the tumor invading the parenchyma, contact surface area, flatness of the tumor surface, renal segment where the tumor was located, vascular variation, and perirenal fat. The average two-dimensional diameter of the tumor was (2.78±1.43) cm, the average three-dimensional maximum diameter was (3.09±1.35) cm, and the average postoperative pathological size was (3.01±1.38) cm. The maximum tumor diameter in the three-dimensional image was significantly related to the prolonged renal artery clamping time and intra-operative blood loss (r=0.502, P=0.020; r=0.403, P=0.046). The three-dimensional and pathological tumor volume were (25.7±48.4) cm3 and (33.0±36.4) cm3, respectively (P=0.229). The tumor volume was significantly related to the intraoperative blood loss (r=0.660, P < 0.001). The proportion volume of the tumor invading into renal parenchyma was significantly related to the prolongation of renal artery clamping and the occurrence of postoperative complications (r=0.410, P=0.041; r=0.587, P=0.005). The tumor contact surface area and the presence of vascular variation did not show correlation with the perioperative data and postoperative complications. While the preoperative evaluation was completed, the reconstructed three-dimensional image could be zoomed, rotated, combined display, color adjustment, transparency, and simulated cutting on the Touch Viewer system. The process generally consisted of showing or hiding the tissue, adjusting the transparency of the interested area, rotating and zooming the image to match the position of the surgical patient. Together, these functions met the requirements of preoperative virtual surgery plan and intraoperative auxiliary navigation.
CONCLUSION: Three-dimensional images can provide a more intuitive anatomical structure. The CT three-dimensional visua-lization system clearly displays tumor anatomical parameters, blood supply and perirenal fat. The three-dimensional nephrometry system for renal tumors can help predict the difficulty of partial nephrectomy and perioperative complications. Importing the reconstructed three-dimensional visualization image into the specified program or robot operating system can complete virtual surgery and intraoperative navigation, helping the surgeon to better grasp the surgical process. The indexes included in the nephrometry system and the score weights of each index need to be confirmed and perfected by multi-center study with large samples.

Entities:  

Keywords:  Imaging, three-dimensiona; Kidney neoplasms; Nephrectomy; Surgery, computer-assisted; Tomography, X-ray computed

Mesh:

Year:  2021        PMID: 34145871      PMCID: PMC8220048     

Source DB:  PubMed          Journal:  Beijing Da Xue Xue Bao Yi Xue Ban        ISSN: 1671-167X


  20 in total

1.  Renal tumor contact surface area: a novel parameter for predicting complexity and outcomes of partial nephrectomy.

Authors:  Scott Leslie; Inderbir S Gill; Andre Luis de Castro Abreu; Syed Rahmanuddin; Karanvir S Gill; Mike Nguyen; Andre K Berger; Alvin C Goh; Jie Cai; Vinay A Duddalwar; Monish Aron; Mihir M Desai
Journal:  Eur Urol       Date:  2014-03-19       Impact factor: 20.096

2.  Critical appraisal of the PADUA classification and assessment of the R.E.N.A.L. nephrometry score in patients undergoing partial nephrectomy.

Authors:  M N Hew; B Baseskioglu; K Barwari; P H Axwijk; C Can; S Horenblas; A Bex; J J M C H de la Rosette; M P Laguna Pes
Journal:  J Urol       Date:  2011-05-14       Impact factor: 7.450

3.  The impact of body mass index on perioperative outcomes in robot-assisted laparoscopic partial nephrectomy.

Authors:  Halil Kiziloz; Ryan Dorin; Kyle T Finnegan; Steven Shichman; Anoop Meraney
Journal:  J Endourol       Date:  2013-08       Impact factor: 2.942

4.  Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery.

Authors:  Vincenzo Ficarra; Giacomo Novara; Silvia Secco; Veronica Macchi; Andrea Porzionato; Raffaele De Caro; Walter Artibani
Journal:  Eur Urol       Date:  2009-08-04       Impact factor: 20.096

5.  Three-dimensional virtual imaging of renal tumours: a new tool to improve the accuracy of nephrometry scores.

Authors:  Francesco Porpiglia; Daniele Amparore; Enrico Checcucci; Matteo Manfredi; Ilaria Stura; Giuseppe Migliaretti; Riccardo Autorino; Vincenzo Ficarra; Cristian Fiori
Journal:  BJU Int       Date:  2019-09-27       Impact factor: 5.588

6.  Association between tumor contact surface area and parenchymal volume change in robot-assisted laparoscopic partial nephrectomy carried out using the enucleation technique.

Authors:  Toshio Takagi; Kazuhiko Yoshida; Tsunenori Kondo; Hirohito Kobayashi; Junpei Iizuka; Masayoshi Okumi; Hideki Ishida; Kazunari Tanabe
Journal:  Int J Urol       Date:  2019-04-18       Impact factor: 3.369

7.  Practical and intuitive surgical approach renal ranking to predict outcomes in the management of renal tumors: a novel score tool.

Authors:  Matheus Tannus; Suzan M Goldman; Cássio Andreoni
Journal:  J Endourol       Date:  2014-01-17       Impact factor: 2.942

Review 8.  Current Use of Three-dimensional Model Technology in Urology: A Road Map for Personalised Surgical Planning.

Authors:  Francesco Porpiglia; Daniele Amparore; Enrico Checcucci; Riccardo Autorino; Matteo Manfredi; Giada Iannizzi; Cristian Fiori
Journal:  Eur Urol Focus       Date:  2018-10-04

9.  Nephrometry Scores: The Effect of Imaging on Routine Read-out and Prediction of Outcome of Nephron-sparing Surgery.

Authors:  Jula Wadle; Svetlana Hetjens; Judith Winter; Julia Mühlbauer; Manuel Neuberger; Frank Waldbillig; Frederik Wessels; Niklas Westhoff; Philipp Riffel; Nina Wagener; Patrick Honeck; Maximilian Christian Kriegmair
Journal:  Anticancer Res       Date:  2018-05       Impact factor: 2.480

Review 10.  Epidemiology and screening for renal cancer.

Authors:  Sabrina H Rossi; Tobias Klatte; Juliet Usher-Smith; Grant D Stewart
Journal:  World J Urol       Date:  2018-04-02       Impact factor: 4.226

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