基准标记
成像体模
烧蚀
医学
增强现实
烧蚀区
核医学
生物医学工程
放射科
计算机科学
计算机视觉
内科学
作者
K. Lee,Ming Li,Nicole Varble,Ayele H. Negussie,Michael Kassin,Antonio Arrichiello,Gianpaolo Carrafiello,Lindsey Hazen,Paul Wakim,Xiaobai Li,Sheng Xu,Bradford J. Wood
标识
DOI:10.1016/j.jvir.2023.10.005
摘要
To develop and evaluate a smartphone augmented reality system for large 50mm liver tumor ablation with treatment planning for composite overlapping ablation zones.A smartphone AR application was developed to display tumor, probe, projected probe paths, ablated zones, and real-time percentage of target tumor volume ablated. Fiducial markers were attached to phantoms and ablation probe hub for tracking. The system was evaluated with tissue-mimicking thermochromic phantoms [1] and gel phantoms. Four operators performed 2 trials each of 3 probe insertions per trial using AR-guidance versus CT-guidance approaches, in 2 gel phantoms. Insertion points and optimal probe paths were pre-determined. On gel phantom 2, serial ablated zones were saved and continuously displayed after each probe placement/adjustment, enabling feedback and iterative planning. The percent tumor ablated for AR-guidance vs CT-guidance and with vs without display of recorded ablated zones was compared among operators with pairwise t-tests.The means of percent tumor ablated for CT freehand and AR-guidance were 36±7% and 47±4% (p=0.004), respectively. Mean composite percent ablated for AR-guidance was 43±1% (without) and 50±2% (with display of ablation zone), (p=0.033). There was no strong correlation between AR-guided percent ablation and years of experience (r<0.5), whereas CT-guided percent ablation and years of experiences had strong correlation (r>0.9).A smartphone AR guidance system for dynamic iterative large liver tumor ablation was accurate, performed better than conventional CT guidance, especially for less experienced operators, and enhanced more standardized performance across experience levels for ablation of a 50mm tumor.
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