Smartphone Augmented Reality Outperforms Conventional CT Guidance for Composite Ablation Margins in Phantom Models.

Autor:	Lee KH; McGovern Medical School at UTHealth, Houston, Texas; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Li M; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Varble N; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland; Philips Research North America, Cambridge, Massachusetts., Negussie AH; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Kassin MT; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Arrichiello A; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Carrafiello G; Department of Radiology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy., Hazen LA; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Wakim PG; Biostatistics and Clinical Epidemiology Service, National Institutes of Health, Bethesda, Maryland., Li X; Biostatistics and Clinical Epidemiology Service, National Institutes of Health, Bethesda, Maryland., Xu S; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland., Wood BJ; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland. Electronic address: bwood@nih.gov.
Jazyk:	angličtina
Zdroj:	Journal of vascular and interventional radiology : JVIR [J Vasc Interv Radiol] 2024 Mar; Vol. 35 (3), pp. 452-461.e3. Date of Electronic Publication: 2023 Oct 17.
DOI:	10.1016/j.jvir.2023.10.005
Abstrakt:	Purpose: To develop and evaluate a smartphone augmented reality (AR) system for a large 50-mm liver tumor ablation with treatment planning for composite overlapping ablation zones. Materials and Methods: A smartphone AR application was developed to display tumor, probe, projected probe paths, ablated zones, and real-time percentage of the ablated target tumor volume. Fiducial markers were attached to phantoms and an ablation probe hub for tracking. The system was evaluated with tissue-mimicking thermochromic phantoms and gel phantoms. Four interventional radiologists performed 2 trials each of 3 probe insertions per trial using AR guidance versus computed tomography (CT) guidance approaches in 2 gel phantoms. Insertion points and optimal probe paths were predetermined. On Gel Phantom 2, serial ablated zones were saved and continuously displayed after each probe placement/adjustment, enabling feedback and iterative planning. The percentages of tumor ablated for AR guidance versus CT guidance, and with versus without display of recorded ablated zones, were compared among interventional radiologists with pairwise t-tests. Results: The means of percentages of tumor ablated for CT freehand and AR guidance were 36% ± 7 and 47% ± 4 (P = .004), respectively. The mean composite percentages of tumor ablated for AR guidance were 43% ± 1 (without) and 50% ± 2 (with display of ablation zone) (P = .033). There was no strong correlation between AR-guided percentage of ablation and years of experience (r < 0.5), whereas there was a strong correlation between CT-guided percentage of ablation and years of experience (r > 0.9). Conclusions: A smartphone AR guidance system for dynamic iterative large liver tumor ablation was accurate, performed better than conventional CT guidance, especially for less experienced interventional radiologists, and enhanced more standardized performance across experience levels for ablation of a 50-mm tumor. (Copyright © 2023. Published by Elsevier Inc.)
Databáze:	MEDLINE
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