Literature DB >> 19377173

BiopSym: a simulator for enhanced learning of ultrasound-guided prostate biopsy.

Stefano Sclaverano1, Grégoire Chevreau, Lucile Vadcard, Pierre Mozer, Jocelyne Troccaz.   

Abstract

This paper describes a simulator of ultrasound-guided prostate biopsies for cancer diagnosis. When performing biopsy series, the clinician has to move the ultrasound probe and to mentally integrate the real-time bi-dimensional images into a three-dimensional (3D) representation of the anatomical environment. Such a 3D representation is necessary to sample regularly the prostate in order to maximize the probability of detecting a cancer if any. To make the training of young physicians easier and faster we developed a simulator that combines images computed from three-dimensional ultrasound recorded data to haptic feedback. The paper presents the first version of this simulator.

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Year:  2009        PMID: 19377173

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Ultrasound simulation with deformable and patient-specific scatterer maps.

Authors:  Rastislav Starkov; Lin Zhang; Michael Bajka; Christine Tanner; Orcun Goksel
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-08-21       Impact factor: 2.924

2.  Prospective comparison of T2w-MRI and dynamic-contrast-enhanced MRI, 3D-MR spectroscopic imaging or diffusion-weighted MRI in repeat TRUS-guided biopsies.

Authors:  Daniel Portalez; Gautier Rollin; Pierre Leandri; Benjamin Elman; Patrick Mouly; Frédéric Jonca; Bernard Malavaud
Journal:  Eur Radiol       Date:  2010-08-03       Impact factor: 5.315

Review 3.  Follow-up of negative MRI-targeted prostate biopsies: when are we missing cancer?

Authors:  Samuel A Gold; Graham R Hale; Jonathan B Bloom; Clayton P Smith; Kareem N Rayn; Vladimir Valera; Bradford J Wood; Peter L Choyke; Baris Turkbey; Peter A Pinto
Journal:  World J Urol       Date:  2018-05-21       Impact factor: 4.226

Review 4.  Multiparametric MRI-targeted TRUS prostate biopsies using visual registration.

Authors:  Philippe Puech; Adil Ouzzane; Vianney Gaillard; Nacim Betrouni; Benoit Renard; Arnauld Villers; Laurent Lemaitre
Journal:  Biomed Res Int       Date:  2014-12-01       Impact factor: 3.411

  4 in total

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