Align procedural expertise with virtual information: the key to AR-navigated ultrasound-guided biopsy

Ultrasound-guided biopsy is widely used for tumor diagnosis, yet interpreting spatial information from ultrasound images remains challenging. Augmented reality (AR) enables in-situ overlay of imaging and guidance cues, potentially enhancing spatial awareness, improving image interpretation, and facilitating needle navigation. However, its impact on biopsy performance remains inconclusive in previous studies. This research investigates how various factors influence the performance of AR navigation in ultrasound-guided biopsy, aiming to identify crucial considerations for system design. A navigation system was first developed to deliver in-situ ultrasound images and biopsy needle along with various visual cues. Thirty-one participants, representing a range of ultrasound expertise, were recruited to perform 1860 biopsy simulations under varying conditions of visualization content and operational methods. Metrics, including biopsy accuracy, task duration, success rate, and subjective feedback, were recorded for analysis. In brief, experienced interventionists showed minimal benefit (4.39 mm vs. 3.14 mm, 10.64s vs. 9.23s) and reported increased cognitive load during familiar in-plane procedures when overloaded with virtual cues. In contrast, they demonstrated significant performance gains (8.01 mm vs. 2.73 mm, 13.32s vs. 6.77s) and improved user experience in less familiar out-of-plane tasks, even outperforming their in-plane results. These findings highlight the need for user- and task-specific system design considering the procedural expertise.

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Publication Details

Journal
Virtual Reality
Published
2025-06-27
DOI
https://doi.org/10.1007/s10055-025-01184-3
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00

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article

Align procedural expertise with virtual information: the key to AR-navigated ultrasound-guided biopsy

Wenguo Weng, Sheng Yang, Hui Ding, Haojie Lu et al.
Virtual Reality
Surgical Simulation and Training
article

Align procedural expertise with virtual information: the key to AR-navigated ultrasound-guided biopsy

Wenguo Weng, Sheng Yang, Hui Ding, Haojie Lu, Danilo Gasques, Guangzhi Wang, Long Qian, Wenqing Yan, Zhe Zhao, Haowei Li, Jiasheng Zhao
article en

Abstract

Ultrasound-guided biopsy is widely used for tumor diagnosis, yet interpreting spatial information from ultrasound images remains challenging. Augmented reality (AR) enables in-situ overlay of imaging and guidance cues, potentially enhancing spatial awareness, improving image interpretation, and facilitating needle navigation. However, its impact on biopsy performance remains inconclusive in previous studies. This research investigates how various factors influence the performance of AR navigation in ultrasound-guided biopsy, aiming to identify crucial considerations for system design. A navigation system was first developed to deliver in-situ ultrasound images and biopsy needle along with various visual cues. Thirty-one participants, representing a range of ultrasound expertise, were recruited to perform 1860 biopsy simulations under varying conditions of visualization content and operational methods. Metrics, including biopsy accuracy, task duration, success rate, and subjective feedback, were recorded for analysis. In brief, experienced interventionists showed minimal benefit (4.39 mm vs. 3.14 mm, 10.64s vs. 9.23s) and reported increased cognitive load during familiar in-plane procedures when overloaded with virtual cues. In contrast, they demonstrated significant performance gains (8.01 mm vs. 2.73 mm, 13.32s vs. 6.77s) and improved user experience in less familiar out-of-plane tasks, even outperforming their in-plane results. These findings highlight the need for user- and task-specific system design considering the procedural expertise.

Virtual RealityVol. 29(3)
Zhejiang International Studies University (CN), Sanford Broadway Medical Center (US), Beijing Tsinghua Chang Gung Hospital (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China
Openalex Percentile: Top 74%
Surgical Simulation and Training
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