Literature DB >> 33146849

The effect of artificial X-rays on C-arm positioning performance in a simulated orthopaedic surgical setting.

Michèle Touchette1, Robyn Newell2, Carolyn Anglin3, Pierre Guy4, Kelly Lefaivre4, Meena Amlani5, Antony Hodgson2.   

Abstract

PURPOSE: We designed an Artificial X-ray Imaging System (AXIS) that generates simulated fluoroscopic X-ray images on the fly and assessed its utility in improving C-arm positioning performance by C-arm users with little or no C-arm experience.
METHODS: The AXIS system was comprised of an optical tracking system to monitor C-arm movement, a manikin, a reference CT volume registered to the manikin, and a Digitally Reconstructed Radiograph algorithm to generate live simulated fluoroscopic images. A user study was conducted with 30 participants who had little or no C-arm experience. Each participant carried out four tasks using a real C-arm: an introduction session, an AXIS-guided set of pelvic imaging tasks, a non-AXIS guided set of pelvic imaging tasks, and a questionnaire. For each imaging task, the participant replicated a set of three target X-ray images by taking real radiographs of a manikin with a C-arm. The number of X-rays required, task time, and C-arm positioning accuracy were recorded.
RESULTS: We found a significant 53% decrease in the number of X-rays used and a moderate 10-26% improvement in lateral C-arm axis positioning accuracy without requiring more time to complete the tasks when the participants were guided by artificial X-rays. The questionnaires showed that the participants felt significantly more confident in their C-arm positioning ability when they were guided by AXIS. They rated the usefulness of AXIS as very good to excellent, and the realism and accuracy of AXIS as good to very good.
CONCLUSION: Novice users working with a C-arm machine supplemented with the ability to generate simulated X-ray images could successfully accomplish positioning tasks in a simulated surgical setting using markedly fewer X-ray images than when unassisted. In future work, we plan to determine whether such a system can produce similar results in the live operating room without lengthening surgical procedures.

Entities:  

Keywords:  Artificial X-rays; C-arm; Radiation; Virtual fluoroscopy

Mesh:

Year:  2020        PMID: 33146849     DOI: 10.1007/s11548-020-02280-2

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  16 in total

1.  An on-board surgical tracking and video augmentation system for C-arm image guidance.

Authors:  S Reaungamornrat; Y Otake; A Uneri; S Schafer; D J Mirota; S Nithiananthan; J W Stayman; G Kleinszig; A J Khanna; R H Taylor; J H Siewerdsen
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-04-27       Impact factor: 2.924

2.  Navigating the fluoroscope's C-arm back into position: an accurate and practicable solution to cut radiation and optimize intraoperative workflow.

Authors:  Felix Matthews; Dominik J Hoigne; Manfred Weiser; Guido A Wanner; Pietro Regazzoni; Norbert Suhm; Peter Messmer
Journal:  J Orthop Trauma       Date:  2007 Nov-Dec       Impact factor: 2.512

3.  Precise X-ray and video overlay for augmented reality fluoroscopy.

Authors:  Xin Chen; Lejing Wang; Pascal Fallavollita; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-17       Impact factor: 2.924

4.  Improving operating theatre communication between the orthopaedics surgeon and radiographer.

Authors:  Cheng Hong Yeo; Robert Gordon; Iulian Nusem
Journal:  ANZ J Surg       Date:  2013-12-02       Impact factor: 1.872

5.  Improving education on C-arm operation and radiation protection with a computer-based training and simulation system.

Authors:  Oliver Johannes Bott; Markus Wagner; Christopher Duwenkamp; Nils Hellrung; Klaus Dresing
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-05-13       Impact factor: 2.924

6.  virtX - evaluation of a computer-based training system for mobile C-arm systems in trauma and orthopedic surgery.

Authors:  O J Bott; M Teistler; C Duwenkamp; M Wagner; M Marschollek; M Plischke; B W Raab; K M Stürmer; D P Pretschner; K Dresing
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

Review 7.  The Great Unknown-A systematic literature review about risk associated with intraoperative imaging during orthopaedic surgeries.

Authors:  Amir Matityahu; Ryan K Duffy; Sabine Goldhahn; Alexander Joeris; Peter H Richter; Florian Gebhard
Journal:  Injury       Date:  2017-04-21       Impact factor: 2.586

8.  Survey of terminology used for the intraoperative direction of C-arm fluoroscopy.

Authors:  Elliott Pally; Hans J Kreder
Journal:  Can J Surg       Date:  2013-04       Impact factor: 2.089

9.  Fast calculation of the exact radiological path for a three-dimensional CT array.

Authors:  R L Siddon
Journal:  Med Phys       Date:  1985 Mar-Apr       Impact factor: 4.071

10.  Augmented reality-based feedback for technician-in-the-loop C-arm repositioning.

Authors:  Mathias Unberath; Javad Fotouhi; Jonas Hajek; Andreas Maier; Greg Osgood; Russell Taylor; Mehran Armand; Nassir Navab
Journal:  Healthc Technol Lett       Date:  2018-10-01
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  2 in total

1.  RAY-POS: a LIDAR-based assistance system for intraoperative repositioning of mobile C-arms without external aids.

Authors:  Lukas Bernhard; Christopher Völk; Dominik Völk; Florian Rothmeyer; Zhencan Xu; Daniel Ostler; Peter Biberthaler; Dirk Wilhelm
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-02-23       Impact factor: 2.924

2.  Development of pre-procedure virtual simulation for challenging interventional procedures: an experimental study with clinical application.

Authors:  Hyunyoung Seong; Daehun Yun; Kyung Seob Yoon; Ji Soo Kwak; Jae Chul Koh
Journal:  Korean J Pain       Date:  2022-10-01
  2 in total

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