Percutaneous puncture during PCNL: new perspective for the future with virtual imaging guidance.

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Abstract

Large and complex renal stones are usually treated with percutaneous nephrolithotomy (PCNL). One of the crucial steps in this procedure is the access to the collecting system with the percutaneous puncture and this maneuver leads to a risk of vascular and neighboring organs' injury. In the last years, the application of virtual image-guided surgery has gained wide diffusion even in this specific field.

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Journal

Journal ID (iso-abbrev): World J Urol

Title: World journal of urology

Publisher: Springer Science and Business Media LLC

ISSN (Electronic): 1433-8726

ISSN (Print): 0724-4983

Publication date (Electronic): Mar 2022

Volume: 40

Issue: 3

Affiliations

[1 ] Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3,95, 10060, Candiolo, Turin, Italy. checcu.e@hotmail.it.

[2 ] Uro-Technology and SoMe Working Group of the Young Academic Urologists (YAU) Working Party of the European Association of Urology (EAU), Arnhem, The Netherlands. checcu.e@hotmail.it.

[3 ] Department of Oncology, Division of Urology, University of Turin, Turin, Italy. checcu.e@hotmail.it.

[4 ] Department of Oncology, Division of Urology, University of Turin, Turin, Italy.

[5 ] Department of Urology, University Hospital of Patras, Patras, Greece.

[6 ] USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.

[7 ] Department of Urology, La Paz University Hospital, Madrid, Spain.

[8 ] Department of Urology, Medical University of Vienna, Vienna, Austria.

Article

Publisher Item ID: 10.1007/s00345-021-03820-4

DOI: 10.1007/s00345-021-03820-4

PubMed ID: 34468886

SO-VID: d117f098-773e-47b8-8105-99d28d76cebe

History

Keywords: PCNL,Virtual imaging,3D,Artificial intelligence,Augmented reality,Kidney stones

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Keywords: PCNL, Virtual imaging, 3D, Artificial intelligence, Augmented reality, Kidney stones

Percutaneous puncture during PCNL: new perspective for the future with virtual imaging guidance.

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Artificial Intelligence in Medicine

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