Image-based reporting for bronchoscopy

Kun Chang Yu, Jason D. Gibbs, Michael W. Graham, William Evan Higgins

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Bronchoscopy is often performed for staging lung cancer. The recent development of multidetector computed tomography (MDCT) scanners and ultrathin bronchoscopes now enable the bronchoscopic biopsy and treatment of peripheral diagnostic regions of interest (ROIs). Because these ROIs are often located several generations within the airway tree, careful planning and interpretation of the bronchoscopic route is required prior to a procedure. The current practice for planning bronchoscopic procedures, however, is difficult, error prone, and time consuming. To alleviate these issues, we propose a method for producing and previewing reports for bronchoscopic procedures using patient-specific MDCT chest scans. The reports provide quantitative data about the bronchoscopic routes and both static and dynamic previews of the proper airway route. The previews consist of virtual bronchoscopic endoluminal renderings along the route and three-dimensional cues for a final biopsy site. The reports require little storage space and computational resources, enabling physicians to view the reports on a portable tablet PC. To evaluate the efficacy of the reporting system, we have generated reports for 22 patients in a human lung cancer patient pilot study. For 17 of these patients, we used the reports in conjunction with live image-based bronchoscopic guidance to direct physicians to central chest and peripheral ROIs for subsequent diagnostic evaluation. Our experience shows that the tool enabled useful procedure preview and an effective means for planning strategy prior to a live bronchoscopy.

Original languageEnglish (US)
Pages (from-to)39-50
Number of pages12
JournalJournal of Digital Imaging
Volume23
Issue number1
DOIs
StatePublished - Feb 1 2010

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Multidetector computed tomography
Bronchoscopy
Biopsy
Planning
Multidetector Computed Tomography
Lung Neoplasms
Thorax
Physicians
Bronchoscopes
Tablets
Cues

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Yu, Kun Chang ; Gibbs, Jason D. ; Graham, Michael W. ; Higgins, William Evan. / Image-based reporting for bronchoscopy. In: Journal of Digital Imaging. 2010 ; Vol. 23, No. 1. pp. 39-50.
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Image-based reporting for bronchoscopy. / Yu, Kun Chang; Gibbs, Jason D.; Graham, Michael W.; Higgins, William Evan.

In: Journal of Digital Imaging, Vol. 23, No. 1, 01.02.2010, p. 39-50.

Research output: Contribution to journalArticle

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