Literature DB >> 27089025

Augmented Reality on a C-Arm System: A Preclinical Assessment for Percutaneous Needle Localization.

John M Racadio1, Rami Nachabe1, Robert Homan1, Ross Schierling1, Judy M Racadio1, Draženko Babić1.   

Abstract

Purpose To compare the navigational accuracy and radiation dose during needle localization of targets for augmented reality (AR) with and without motion compensation (MC) versus those for cone-beam computed tomography (CT) with real-time fluoroscopy navigation in a pig model. Materials and Methods This study was approved by the Institutional Animal Care and Use Committee. Three operators each localized 15 targets (bone fragments) approximately 7 cm deep in the paraspinal muscles of nine Yorkshire pigs by using each of the three modalities (AR with and without MC and cone-beam CT with fluoroscopy). Target depth, accuracy (distance between needle tip and target), and radiation dose (dose-area product [DAP]) were recorded for each procedure. Correlation between accuracy and depth of target was assessed by using the Pearson correlation coefficient. Two-way analysis of variance was used for differentiating accuracy and DAPs across navigation techniques and operator backgrounds. Results There was no correlation between depth of target and accuracy. There was no significant difference in accuracy between modalities (mean distance, 3.0 mm ± 1.9 [standard deviation] for cone-beam CT with fluoroscopy, 2.5 mm ± 2.0 for AR, and 3.2 mm ± 2.7 for AR with MC [P = .33]). There was, however, a significant difference in fluoroscopy radiation dose (10.4 Gy · cm(2) ± 10.6 for cone-beam CT fluoroscopy, 2.3 Gy · cm(2) ± 2.4 for AR, and 3.3 Gy · cm(2) ± 4.6 for AR with MC [P < .05]) and therefore in total procedural radiation dose (20.5 Gy · cm(2) ± 13.4 for cone-beam CT fluoroscopy, 12.6 Gy · cm(2) ± 5.3 for AR, 13.6 Gy · cm(2) ± 7.4 for AR with MC [P < .05]). Conclusion Use of an AR C-arm system reduces radiation dose while maintaining navigational accuracy compared with cone-beam CT fluoroscopy during image-guided percutaneous needle placement in a pig model. (©) RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27089025     DOI: 10.1148/radiol.2016151040

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

Review 1.  Artificial intelligence in spine surgery.

Authors:  Ahmed Benzakour; Pavlos Altsitzioglou; Jean Michel Lemée; Alaaeldin Ahmad; Andreas F Mavrogenis; Thami Benzakour
Journal:  Int Orthop       Date:  2022-07-29       Impact factor: 3.479

Review 2.  Augmented and Mixed Reality: Technologies for Enhancing the Future of IR.

Authors:  Brian J Park; Stephen J Hunt; Charles Martin; Gregory J Nadolski; Bradford J Wood; Terence P Gade
Journal:  J Vasc Interv Radiol       Date:  2020-02-13       Impact factor: 3.464

3.  Smartphone Augmented Reality CT-Based Platform for Needle Insertion Guidance: A Phantom Study.

Authors:  Rachel Hecht; Ming Li; Quirina M B de Ruiter; William F Pritchard; Xiaobai Li; Venkatesh Krishnasamy; Wael Saad; John W Karanian; Bradford J Wood
Journal:  Cardiovasc Intervent Radiol       Date:  2020-01-08       Impact factor: 2.740

4.  Smartphone- versus smartglasses-based augmented reality (AR) for percutaneous needle interventions: system accuracy and feasibility study.

Authors:  Ming Li; Reza Seifabadi; Dilara Long; Quirina De Ruiter; Nicole Varble; Rachel Hecht; Ayele H Negussie; Venkatesh Krishnasamy; Sheng Xu; Bradford J Wood
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-07-30       Impact factor: 2.924

5.  A Sternum-Disk Distance Method to Identify the Skin Level for Approaching a Surgical Segment without Fluoroscopy Guidance during Anterior Cervical Discectomy And Fusion.

Authors:  Gun Woo Lee; Myun-Whan Ahn; Ji-Hoon Shin; Jae Woo Park; Jae-Hyung Uh; Jong-Ho Park; Ji-Hoon Lee; Dong-Wook Kim; Jin S Yeom; Bo-Gun Suh
Journal:  Asian Spine J       Date:  2017-02-17

6.  Thermal Ablation of Liver Tumors Guided by Augmented Reality: An Initial Clinical Experience.

Authors:  Marco Solbiati; Tiziana Ierace; Riccardo Muglia; Vittorio Pedicini; Roberto Iezzi; Katia M Passera; Alessandro C Rotilio; S Nahum Goldberg; Luigi A Solbiati
Journal:  Cancers (Basel)       Date:  2022-03-03       Impact factor: 6.639

  6 in total

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