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Updated: Feb 11, 2026

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
Published on: July 19, 2024
Pulmonologist evaluation on new CT visualization for guidance to lung lesions during bronchoscopy
Pall Jens Reynisson1, Håkon Olav Leira1,2, Thomas Langø3
1a Department of Circulation and Medical Imaging, Faculty of Medicine , Norwegian University of Science and Technology (NTNU) , Trondheim , Norway.
Objective:
Endoluminal visualization in virtual and video bronchoscopy lacks information about the surrounding structures, and the traditional 2 D axial, coronal and sagittal CT views can be difficult to interpret. To address this challenge, we previously introduced a novel visualization technique, Anchored to Centerline Curved Surface, for navigated bronchoscopy. The current study compares the ACCuSurf to the standard ACS CT views as planning and guiding tools in a phantom study.
Material And Methods:
Bronchoscope operators navigated in physical phantom guided by virtual realistic image data constructed by fusion of CT dataset of phantom and anonymized patient CT data. We marked four different target positions within the virtual image data and gave 12 pulmonologists the task to navigate, with either ACCuSurf or ACS as guidance, to the corresponding targets in the physical phantom.
Results:
Using ACCuSurf reduced the planning time and increased the grade of successful navigation significantly compared to ACS.
Conclusion:
The phantom setup with virtual patient image data proved realistic according to the pulmonologists. ACCuSurf proved superior to ACS regarding planning time and navigation success grading. Improvements on visualisation or display techniques may consequently improve both planning and navigated bronchoscopy and thus contribute to more precise lung diagnostics.
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