Bronchoscopic procedure planning for systematic lymph node analysis

Trevor K. Kuhlengel, William Evan Higgins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Lung cancer is the number one cause of cancer in the United States. With the rollout of new lung cancer screening programs, the number of early-stage lung cancer patients is expected to increase. This greatly increases the premium on proper central-chest lymph node staging. Physicians typically use minimally invasive bronchoscopy for these staging procedures. On another front, it is now accepted practice that a bronchoscopic procedure is greatly assisted using image-guided virtual-bronchoscopy navigation (VBN) systems, whereby the procedure plan and follow-on live guidance draw upon information derived from a patient's three-dimensional (3D) computed-tomography (CT) chest scan. To date, VBN systems only provide a means for managing individual diagnostic sites. Truly effective lymph node staging, however, demands procedure plans that take into account multiple nodes. To bridge this gap, we propose an approach for planning a more comprehensive lymph node staging plan, suitable for VBN-based guidance systems. In addition, during the live guided procedure, existing VBN systems do not provide visualization AIDS pertinent to the demands of the lymph node staging problem. We discuss our progress toward developing a computer-based planning and guidance system tailored to more comprehensive lymph node staging. In particular, our development features three interconnected contributions. First, a system modernized to the newest eighth edition of the IASLC nodal-station map is presented. Second, a method for locating station-specific 3D soft-tissue regions, where candidate lymph nodes could reside, is discussed. Finally, an approach for computing airway routes leading to each nodal station, along with associated visualization views is given. We demonstrate our methodology using data from human lung cancer patients.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2019
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsBaowei Fei, Cristian A. Linte
PublisherSPIE
ISBN (Electronic)9781510625495
DOIs
StatePublished - Jan 1 2019
EventMedical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States
Duration: Feb 17 2019Feb 19 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10951
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CitySan Diego
Period2/17/192/19/19

Fingerprint

lymphatic system
Navigation systems
Bronchoscopy
planning
Lymph Nodes
navigation
Planning
cancer
lungs
Lung Neoplasms
Visualization
Electronic guidance systems
stations
chest
Tomography
Screening
Navigation
Thorax
acquired immunodeficiency syndrome
Tissue

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Kuhlengel, T. K., & Higgins, W. E. (2019). Bronchoscopic procedure planning for systematic lymph node analysis. In B. Fei, & C. A. Linte (Eds.), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling [109511O] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10951). SPIE. https://doi.org/10.1117/12.2505788
Kuhlengel, Trevor K. ; Higgins, William Evan. / Bronchoscopic procedure planning for systematic lymph node analysis. Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. editor / Baowei Fei ; Cristian A. Linte. SPIE, 2019. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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abstract = "Lung cancer is the number one cause of cancer in the United States. With the rollout of new lung cancer screening programs, the number of early-stage lung cancer patients is expected to increase. This greatly increases the premium on proper central-chest lymph node staging. Physicians typically use minimally invasive bronchoscopy for these staging procedures. On another front, it is now accepted practice that a bronchoscopic procedure is greatly assisted using image-guided virtual-bronchoscopy navigation (VBN) systems, whereby the procedure plan and follow-on live guidance draw upon information derived from a patient's three-dimensional (3D) computed-tomography (CT) chest scan. To date, VBN systems only provide a means for managing individual diagnostic sites. Truly effective lymph node staging, however, demands procedure plans that take into account multiple nodes. To bridge this gap, we propose an approach for planning a more comprehensive lymph node staging plan, suitable for VBN-based guidance systems. In addition, during the live guided procedure, existing VBN systems do not provide visualization AIDS pertinent to the demands of the lymph node staging problem. We discuss our progress toward developing a computer-based planning and guidance system tailored to more comprehensive lymph node staging. In particular, our development features three interconnected contributions. First, a system modernized to the newest eighth edition of the IASLC nodal-station map is presented. Second, a method for locating station-specific 3D soft-tissue regions, where candidate lymph nodes could reside, is discussed. Finally, an approach for computing airway routes leading to each nodal station, along with associated visualization views is given. We demonstrate our methodology using data from human lung cancer patients.",
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Kuhlengel, TK & Higgins, WE 2019, Bronchoscopic procedure planning for systematic lymph node analysis. in B Fei & CA Linte (eds), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling., 109511O, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10951, SPIE, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, United States, 2/17/19. https://doi.org/10.1117/12.2505788

Bronchoscopic procedure planning for systematic lymph node analysis. / Kuhlengel, Trevor K.; Higgins, William Evan.

Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. ed. / Baowei Fei; Cristian A. Linte. SPIE, 2019. 109511O (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10951).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Lung cancer is the number one cause of cancer in the United States. With the rollout of new lung cancer screening programs, the number of early-stage lung cancer patients is expected to increase. This greatly increases the premium on proper central-chest lymph node staging. Physicians typically use minimally invasive bronchoscopy for these staging procedures. On another front, it is now accepted practice that a bronchoscopic procedure is greatly assisted using image-guided virtual-bronchoscopy navigation (VBN) systems, whereby the procedure plan and follow-on live guidance draw upon information derived from a patient's three-dimensional (3D) computed-tomography (CT) chest scan. To date, VBN systems only provide a means for managing individual diagnostic sites. Truly effective lymph node staging, however, demands procedure plans that take into account multiple nodes. To bridge this gap, we propose an approach for planning a more comprehensive lymph node staging plan, suitable for VBN-based guidance systems. In addition, during the live guided procedure, existing VBN systems do not provide visualization AIDS pertinent to the demands of the lymph node staging problem. We discuss our progress toward developing a computer-based planning and guidance system tailored to more comprehensive lymph node staging. In particular, our development features three interconnected contributions. First, a system modernized to the newest eighth edition of the IASLC nodal-station map is presented. Second, a method for locating station-specific 3D soft-tissue regions, where candidate lymph nodes could reside, is discussed. Finally, an approach for computing airway routes leading to each nodal station, along with associated visualization views is given. We demonstrate our methodology using data from human lung cancer patients.

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Kuhlengel TK, Higgins WE. Bronchoscopic procedure planning for systematic lymph node analysis. In Fei B, Linte CA, editors, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE. 2019. 109511O. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2505788