Trial reportPloS one2017
A multimodal image guiding system for Navigated Ultrasound Bronchoscopy (EBUS): A human feasibility study.
Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Explainability of a Deep Learning Model for Mediastinal Lymph Node Station Classification in Endobronchial Ultrasound (EBUS).Bioengineering (Basel, Switzerland) · 2026Article
- A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study.Journal of imaging · 2025Article
- Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using Deep Learning.Journal of imaging · 2024Article
- Navigated ultrasound bronchoscopy with integrated positron emission tomography-A human feasibility study.PloS one · 2024Article
- A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model.International journal of computer assisted radiology and surgery · 2022Article
- Multimodal Registration for Image-Guided EBUS Bronchoscopy.Journal of imaging · 2022Article
- Image-guided EBUS bronchoscopy system for lung-cancer staging.Informatics in medicine unlocked · 2021Article
- The Essential Role of Open Data and Software for the Future of Ultrasound-Based Neuronavigation.Frontiers in oncology · 2020Article
- Passive Magnetic-Flux-Concentrator Based Electromagnetic Targeting System for Endobronchoscopy.Sensors (Basel, Switzerland) · 2019Article
- Optimal route planning for image-guided EBUS bronchoscopy.Computers in biology and medicine · 2019Article
- Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging.International journal of computer assisted radiology and surgery · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) is the endoscopic method of choice for confirming lung cancer metastasis to mediastinal lymph nodes. Precision is crucial for correct staging and clinical decision-making. Navigation and multimodal imaging can potentially improve EBUS-TBNA efficiency.
aimsTo demonstrate the feasibility of a multimodal image guiding system using electromagnetic navigation for ultrasound bronchoschopy in humans.
methodsFour patients referred for lung cancer diagnosis and staging with EBUS-TBNA were enrolled in the study. Target lymph nodes were predefined from the preoperative computed tomography (CT) images. A prototype convex probe ultrasound bronchoscope with an attached sensor for position tracking was used for EBUS-TBNA. Electromagnetic tracking of the ultrasound bronchoscope and ultrasound images allowed fusion of preoperative CT and intraoperative ultrasound in the navigation software. Navigated EBUS-TBNA was used to guide target lymph node localization and sampling. Navigation system accuracy was calculated, measured by the deviation between lymph node position in ultrasound and CT in three planes. Procedure time, diagnostic yield and adverse events were recorded.
resultsPreoperative CT and real-time ultrasound images were successfully fused and displayed in the navigation software during the procedures. Overall navigation accuracy (11 measurements) was 10.0 ± 3.8 mm, maximum 17.6 mm, minimum 4.5 mm. An adequate sample was obtained in 6/6 (100%) of targeted lymph nodes. No adverse events were registered.
conclusionsElectromagnetic navigated EBUS-TBNA was feasible, safe and easy in this human pilot study. The clinical usefulness was clearly demonstrated. Fusion of real-time ultrasound, preoperative CT and electromagnetic navigational bronchoscopy provided a controlled guiding to level of target, intraoperative overview and procedure documentation.
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