Literature DB >> 28089570

Use of augmented reality in laparoscopic gynecology to visualize myomas.

Nicolas Bourdel1, Toby Collins2, Daniel Pizarro2, Clement Debize2, Anne-Sophie Grémeau3, Adrien Bartoli2, Michel Canis4.   

Abstract

OBJECTIVE: To report the use of augmented reality (AR) in gynecology.
DESIGN: AR is a surgical guidance technology that enables important hidden surface structures to be visualized in endoscopic images. AR has been used for other organs, but never in gynecology and never with a very mobile organ like the uterus. We have developed a new AR approach specifically for uterine surgery and demonstrated its use for myomectomy.
SETTING: Tertiary university hospital. PATIENT(S): Three patients with one, two, and multiple myomas, respectively. INTERVENTION(S): AR was used during laparoscopy to localize the myomas. MAIN OUTCOME MEASURE(S): Three-dimensional (3D) models of the patient's uterus and myomas were constructed before surgery from T2-weighted magnetic resonance imaging. The intraoperative 3D shape of the uterus was determined. These models were automatically aligned and "fused" with the laparoscopic video in real time. RESULT(S): The live fused video made the uterus appear semitransparent, and the surgeon can see the location of the myoma in real time while moving the laparoscope and the uterus. With this information, the surgeon can easily and quickly decide on how best to access the myoma. CONCLUSION(S): We developed an AR system for gynecologic surgery and have used it to improve laparoscopic myomectomy. Technically, the software we developed is very different to approaches tried for other organs, and it can handle significant challenges, including image blur, fast motion, and partial views of the organ.
Copyright © 2016 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gynecologic surgery; MRI; augmented reality; laparoscopy; myomectomy

Mesh:

Year:  2017        PMID: 28089570     DOI: 10.1016/j.fertnstert.2016.12.016

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  8 in total

1.  Augmented reality in a tumor resection model.

Authors:  Pauline Chauvet; Toby Collins; Clement Debize; Lorraine Novais-Gameiro; Bruno Pereira; Adrien Bartoli; Michel Canis; Nicolas Bourdel
Journal:  Surg Endosc       Date:  2017-08-15       Impact factor: 4.584

2.  Development of a precision multimodal surgical navigation system for lung robotic segmentectomy.

Authors:  Jean Marc Baste; Valentin Soldea; Samy Lachkar; Philippe Rinieri; Mathieu Sarsam; Benjamin Bottet; Christophe Peillon
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

3.  Augmented reality in laparoscopic liver resection evaluated on an ex-vivo animal model with pseudo-tumours.

Authors:  Mourad Adballah; Yamid Espinel; Lilian Calvet; Bruno Pereira; Bertrand Le Roy; Adrien Bartoli; Emmanuel Buc
Journal:  Surg Endosc       Date:  2021-11-03       Impact factor: 4.584

4.  A case series study of augmented reality in laparoscopic liver resection with a deformable preoperative model.

Authors:  Le Roy Bertrand; Mourad Abdallah; Yamid Espinel; Lilian Calvet; Bruno Pereira; Erol Ozgur; Denis Pezet; Emmanuel Buc; Adrien Bartoli
Journal:  Surg Endosc       Date:  2020-07-20       Impact factor: 4.584

5.  A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery.

Authors:  Erica Padovan; Giorgia Marullo; Leonardo Tanzi; Pietro Piazzolla; Sandro Moos; Francesco Porpiglia; Enrico Vezzetti
Journal:  Int J Med Robot       Date:  2022-03-13       Impact factor: 2.483

6.  Real-time geometry-aware augmented reality in minimally invasive surgery.

Authors:  Long Chen; Wen Tang; Nigel W John
Journal:  Healthc Technol Lett       Date:  2017-10-27

7.  X-ray vision: the accuracy and repeatability of a technology that allows clinicians to see spinal X-rays superimposed on a person's back.

Authors:  Jacob Aaskov; Gregory N Kawchuk; Kenton D Hamaluik; Pierre Boulanger; Jan Hartvigsen
Journal:  PeerJ       Date:  2019-02-13       Impact factor: 2.984

8.  A Fast 3-Dimensional Magnetic Resonance Imaging Reconstruction for Surgical Planning of Uterine Myomectomy.

Authors:  Sa Ra Lee; Young Jae Kim; Kwang Gi Kim
Journal:  J Korean Med Sci       Date:  2018-01-08       Impact factor: 2.153

  8 in total

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