Literature DB >> 24468517

A novel 3-dimensional image analysis system for case-specific kidney anatomy and surgical simulation to facilitate clampless partial nephrectomy.

Yoshinobu Komai1, Yasuyuki Sakai2, Naoto Gotohda3, Tatsushi Kobayashi4, Satoru Kawakami5, Norio Saito6.   

Abstract

OBJECTIVE: To report our initial experience with the novel 3-dimensional (3D) image analysis system Synapse Vincent in clampless partial nephrectomy (PN), describing its advantages with regard to short-term surgical outcomes and its usefulness as an informed consent tool.
METHODS: Twenty-six patients with renal cell carcinoma underwent clampless PN navigated with the aid of case-specific 3D anatomic video images of the kidney, after surgical simulation using the same video system. Baseline characteristics were reviewed, and short-term surgical outcomes were recorded. Of the 26, 6 had imperative indications, and 22 were treated with a minimally invasive approach. Before tumor excision, the renal hilar vessels were meticulously dissected, and definite tumor feeders were selectively ligated. Before patients consented to PN, the surgical procedure and perioperative risks were explained to each patient using case-specific 3D video images; subsequently, surgeons asked patients whether the 3D images had helped them understand PN more clearly than 2D images would have.
RESULTS: All operations were successfully completed without clamping, with negative surgical margins. No patients required blood transfusions. During PN, the surgeons confirmed the accuracy of the reconstructed 3D images and surgical simulations in all cases. All patients answered that the 3D images had helped them understand their disease status and surgical risks.
CONCLUSION: This is the first report on the Synapse Vincent 3D image analysis system for kidney surgery. Its 3D images and surgical simulation helped not only surgeons in their performance of clampless PN but also patients in their understanding of the operation.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24468517     DOI: 10.1016/j.urology.2013.09.053

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  18 in total

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