Literature DB >> 31270676

Augmented reality and artificial intelligence-based navigation during percutaneous vertebroplasty: a pilot randomised clinical trial.

Pierre Auloge1, Roberto Luigi Cazzato2, Nitin Ramamurthy3, Pierre de Marini2, Chloé Rousseau4, Julien Garnon2, Yan Philippe Charles5, Jean-Paul Steib5, Afshin Gangi2.   

Abstract

PURPOSE: To assess technical feasibility, accuracy, safety and patient radiation exposure of a novel navigational tool integrating augmented reality (AR) and artificial intelligence (AI), during percutaneous vertebroplasty of patients with vertebral compression fractures (VCFs).
MATERIAL AND METHODS: This prospective parallel randomised open trial compared the trans-pedicular access phase of percutaneous vertebroplasty across two groups of 10 patients, electronically randomised, with symptomatic single-level VCFs. Trocar insertion was performed using AR/AI-guidance with motion compensation in Group A, and standard fluoroscopy in Group B. The primary endpoint was technical feasibility in Group A. Secondary outcomes included the comparison of Groups A and B in terms of accuracy of trocar placement (distance between planned/actual trajectory on sagittal/coronal fluoroscopic images); complications; time for trocar deployment; and radiation dose/fluoroscopy time.
RESULTS: Technical feasibility in Group A was 100%. Accuracy in Group A was 1.68 ± 0.25 mm (skin entry point), and 1.02 ± 0.26 mm (trocar tip) in the sagittal plane, and 1.88 ± 0.28 mm (skin entry point) and 0.86 ± 0.17 mm (trocar tip) in the coronal plane, without any significant difference compared to Group B (p > 0.05). No complications were observed in the entire population. Time for trocar deployment was significantly longer in Group A (642 ± 210 s) than in Group B (336 ± 60 s; p = 0.001). Dose-area product and fluoroscopy time were significantly lower in Group A (182.6 ± 106.7 mGy cm2 and 5.2 ± 2.6 s) than in Group B (367.8 ± 184.7 mGy cm2 and 10.4 ± 4.1 s; p = 0.025 and 0.005), respectively.
CONCLUSION: AR/AI-guided percutaneous vertebroplasty appears feasible, accurate and safe, and facilitates lower patient radiation exposure compared to standard fluoroscopic guidance. These slides can be retrieved under Electronic Supplementary Material.

Entities:  

Keywords:  Artificial intelligence; Augmented reality; Prospective study; Randomised clinical trial; Spine surgery; Vertebroplasty

Mesh:

Year:  2019        PMID: 31270676     DOI: 10.1007/s00586-019-06054-6

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  16 in total

1.  Use of Artificial Intelligence in Non-Oncologic Interventional Radiology: Current State and Future Directions.

Authors:  Rohil Malpani; Christopher W Petty; Neha Bhatt; Lawrence H Staib; Julius Chapiro
Journal:  Dig Dis Interv       Date:  2021-07-17

2.  Multicenter assessment of augmented reality registration methods for image-guided interventions.

Authors:  Ningcheng Li; Jonathan Wakim; Yilun Koethe; Timothy Huber; Ryan Schenning; Terence P Gade; Stephen J Hunt; Brian J Park
Journal:  Radiol Med       Date:  2022-06-23       Impact factor: 6.313

Review 3.  Artificial intelligence in spine surgery.

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Journal:  Int Orthop       Date:  2022-07-29       Impact factor: 3.479

Review 4.  Opportunities and challenges of using augmented reality and heads-up display in orthopaedic surgery: A narrative review.

Authors:  Joon Ha; Priya Parekh; David Gamble; James Masters; Peter Jun; Thomas Hester; Timothy Daniels; Mansur Halai
Journal:  J Clin Orthop Trauma       Date:  2021-05-05

5.  Robot-Assisted Versus Fluoroscopy-Assisted Kyphoplasty in the Treatment of Osteoporotic Vertebral Compression Fracture: A Retrospective Study.

Authors:  Wei Yuan; Xiaotong Meng; Wenhai Cao; Yue Zhu
Journal:  Global Spine J       Date:  2020-12-30

Review 6.  Current innovation in virtual and augmented reality in spine surgery.

Authors:  Frank J Yuk; Georgios A Maragkos; Kosuke Sato; Jeremy Steinberger
Journal:  Ann Transl Med       Date:  2021-01

Review 7.  Interventional Radiology ex-machina: impact of Artificial Intelligence on practice.

Authors:  Martina Gurgitano; Salvatore Alessio Angileri; Giovanni Maria Rodà; Alessandro Liguori; Marco Pandolfi; Anna Maria Ierardi; Bradford J Wood; Gianpaolo Carrafiello
Journal:  Radiol Med       Date:  2021-04-16       Impact factor: 3.469

8.  Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials.

Authors:  George C M Siontis; Romy Sweda; Peter A Noseworthy; Paul A Friedman; Konstantinos C Siontis; Chirag J Patel
Journal:  BMJ Health Care Inform       Date:  2021-12

9.  Robotic Spine Surgery and Augmented Reality Systems: A State of the Art.

Authors:  Gianluca Vadalà; Sergio De Salvatore; Luca Ambrosio; Fabrizio Russo; Rocco Papalia; Vincenzo Denaro
Journal:  Neurospine       Date:  2020-03-31

10.  Feasibility and Accuracy of Thoracolumbar Pedicle Screw Placement Using an Augmented Reality Head Mounted Device.

Authors:  Henrik Frisk; Eliza Lindqvist; Oscar Persson; Juliane Weinzierl; Linda K Bruetzel; Paulina Cewe; Gustav Burström; Erik Edström; Adrian Elmi-Terander
Journal:  Sensors (Basel)       Date:  2022-01-11       Impact factor: 3.576

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