Augmented reality and three-dimensional printing in percutaneous interventions on pulmonary arteries.
Percutaneous pulmonary interventions
augmented reality (AR)
balloon pulmonary angioplasty (BPA)
chronic thromboembolic pulmonary hypertension (CTEPH)
three-dimensional printing (3DP)
Journal
Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
entrez:
22
2
2019
pubmed:
23
2
2019
medline:
23
2
2019
Statut:
ppublish
Résumé
Percutaneous pulmonary interventions require extensive and accurate navigation planning and guidance, especially in regard to the three-dimensional (3D) relationships between anatomical structures. In this study, we are demonstrating the feasibility of novel visualization techniques: 3D printing (3DP) and augmented reality (AR) in planning transcatheter pulmonary interventions. Two patients were qualified for balloon pulmonary angioplasty (BPA) for treatment of chronic thromboembolic pulmonary hypertension (CTEPH) and stent implantation for pulmonary artery stenosis, respectively. Computed tomography images of both patients were processed with segmentation algorithms and subsequently submitted to 3D modelling software. Microsoft HoloLens Personalized life-sized models of the same structures were additionally 3D-printed for preoperative planning. Holograms were shown to physicians throughout the procedure and were used as a guidance and navigation tool. Operative team was able to manipulate the hologram and multiple users of the AR system could share the same image in real time. Clinicians expressed their satisfaction with the quality of imaging and potential clinical benefits. This study reports the potential value of AR in pulmonary interventions, however, prospective trials need to be conducted to decide on whether novel 3D visualization techniques affect perioperative treatment and outcomes.
Sections du résumé
BACKGROUND
BACKGROUND
Percutaneous pulmonary interventions require extensive and accurate navigation planning and guidance, especially in regard to the three-dimensional (3D) relationships between anatomical structures. In this study, we are demonstrating the feasibility of novel visualization techniques: 3D printing (3DP) and augmented reality (AR) in planning transcatheter pulmonary interventions.
METHODS
METHODS
Two patients were qualified for balloon pulmonary angioplasty (BPA) for treatment of chronic thromboembolic pulmonary hypertension (CTEPH) and stent implantation for pulmonary artery stenosis, respectively. Computed tomography images of both patients were processed with segmentation algorithms and subsequently submitted to 3D modelling software. Microsoft HoloLens
RESULTS
RESULTS
Personalized life-sized models of the same structures were additionally 3D-printed for preoperative planning. Holograms were shown to physicians throughout the procedure and were used as a guidance and navigation tool. Operative team was able to manipulate the hologram and multiple users of the AR system could share the same image in real time. Clinicians expressed their satisfaction with the quality of imaging and potential clinical benefits.
CONCLUSIONS
CONCLUSIONS
This study reports the potential value of AR in pulmonary interventions, however, prospective trials need to be conducted to decide on whether novel 3D visualization techniques affect perioperative treatment and outcomes.
Identifiants
pubmed: 30788243
doi: 10.21037/qims.2018.09.08
pii: qims-09-01-23
pmc: PMC6351817
doi:
Types de publication
Journal Article
Langues
eng
Pagination
23-29Déclaration de conflit d'intérêts
Conflicts of Interest: J Witowski and J Kamiński are employed by MedApp S.A., Marcin Kurzyna and Łukasz Kownacki are members of MedApp S.A. scientific advisory board.
Références
Magn Reson Imaging. 2012 Nov;30(9):1323-41
pubmed: 22770690
Kardiol Pol. 2015;73(1):63-8
pubmed: 25625343
Postepy Kardiol Interwencyjnej. 2015;11(1):1-4
pubmed: 25848362
Innovations (Phila). 2016 Jan-Feb;11(1):31-9; discussion 39
pubmed: 26938173
Eur J Radiol. 2017 Apr;89:270-276
pubmed: 28034568
Int J Comput Assist Radiol Surg. 2017 Dec;12(12):2047-2054
pubmed: 28144830
Circ J. 2017 Mar 24;81(4):552-557
pubmed: 28154291
Can J Neurol Sci. 2017 May;44(3):235-245
pubmed: 28434425
Kardiol Pol. 2017;75(7):645-654
pubmed: 28553870
J Cardiovasc Comput Tomogr. 2017 Nov;11(6):489-496
pubmed: 28964751
Kardiol Pol. 2017;75(10):1056
pubmed: 29057443
Kardiol Pol. 2018;76(2):475
pubmed: 29457620
Curr Cardiol Rep. 2018 May 10;20(6):47
pubmed: 29749577
Urology. 2018 Jun;116:227-228
pubmed: 29801927