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Personalised three-dimensional printed transparent kidney model for robot-assisted partial nephrectomy in patients with complex renal tumours (R.E.N.A.L. nephrometry score ≥7): a prospective case-matched study

Title
Personalised three-dimensional printed transparent kidney model for robot-assisted partial nephrectomy in patients with complex renal tumours (R.E.N.A.L. nephrometry score ≥7): a prospective case-matched study
Authors
Kwon Kim J.Ryu H.Kim M.Kwon E.-K.Lee H.Joon Park S.Byun S.-S.
Ewha Authors
김명류호영
SCOPUS Author ID
류호영scopus
Issue Date
2021
Journal Title
BJU International
ISSN
1464-4096JCR Link
Citation
BJU International vol. 127, no. 5, pp. 567 - 574
Keywords
#kcsm#KidneyCancer#uroonc
Publisher
Blackwell Publishing Ltd
Indexed
SCIE; SCOPUS scopus
Document Type
Article
Abstract
Objectives: To evaluate the effectiveness of a three-dimensional (3D) printed transparent kidney model as a surgical navigator for robot-assisted partial nephrectomy (RPN) in patients with complex renal tumours, defined by a R.E.N.A.L. (Radius, Exophytic/Endophytic, Nearness, Anterior/Posterior, Location) nephrometry score of ≥7. Patients and Methods: A total of 80 patients who underwent RPN were included in the present prospective case-matched study (case group [n = 40, application of 3D-printed transparent kidney model during RPN] vs matching group [n = 40, routine protocol]). The RPNs were performed by a single experienced surgeon. The RPN procedure consisted of six steps: (i) preparation of the renal hilar vessel for clamping, (ii) tumour detection and dissection, (iii) robotic ultrasonography, (iv) tumour resection, (v) calyx repair and haemostasis, and (vi) renorrhaphy. The time for each step, console time, and warm ischaemia time were compared between the two groups as a surrogate marker for surgical effectiveness. Results: Both groups were well-balanced for all baseline characteristics. The use of the model reduced the console time by ~20% compared to the matched group (64.6 vs 78.5 min, P = 0.001). On multivariate logistic regression analysis, tumour radius (P < 0.001) and application of the model (P = 0.009) were identified as significant predictors of a console time of ≤70 min. Conclusion: We established the usefulness of a personalised 3D-printed transparent kidney model for more effective RPNs. Use of the 3D-printed transparent kidney model reduced the operative time even for complex renal tumours and would be expected to broaden the indications for PN. © 2020 The Authors BJU International © 2020 BJU International Published by John Wiley & Sons Ltd
DOI
10.1111/bju.15275
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의료원 > 의료원 > Journal papers
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