SESSION TITLE: Bronchoscopy Posters II
SESSION TYPE: Original Investigation Poster
PRESENTED ON: Wednesday, October 29, 2014 at 01:30 PM - 02:30 PM
PURPOSE: In the era of lung cancer screening, tissue acquisition of peripheral lung lesions remains a challenge. We have developed a 3D electromagnetic navigation platform with airway segmentation and virtual bronchoscopy in the open source 3D slicer environment.
METHODS: The open source visualisation software (3D Slicer) was used to create a detailed airway segmentation and virtual bronchoscopy model from CT images. A magnetic field emitter board provides tracking of a locatable sensor probe in the working channel of the bronchoscope. A breathing lung simulator mimicking actual bronchoscopy environment was developed using inflatable plasticized pig lungs in a negative-pressure chamber with the trachea connected to atmospheric pressure allowing bronchoscope insertion. The breathing lung model was controlled by an electronic valve to simulate actual respiratory cycle. The breathing lung model may be programmed for sporadic disturbances (eg cough) as well as variability in “respiration” through the rate and length of inflation and deflation.
RESULTS: A computerized tomography scan of the plasticized pig lung was used to create a virtual airway segmentation model. Navigation with the bronchoscope containing the sensor probe was performed on the model, under both static and cyclical inflation. The navigational system accurately determined 89.3% of the navigation points within the main airways.
CONCLUSIONS: Our navigational platform is inexpensive and open source. In our porcine lung model, there is good agreement between the position of the sensor probe during bronchoscopic navigation and as visualised in virtual bronchoscopy. Further work is required to better define airway segmentation using various computerized tomography configurations and to improve the accuracy of the navigational system before a pilot study in patients with peripheral lung nodules.
CLINICAL IMPLICATIONS: The navigational system will improve the diagnostic yield of peripheral lung lesion.
DISCLOSURE: The following authors have nothing to disclose: Kashif Ali Khan, Kilian O'Donoghue, Pietro Nardelli, Josef Tugwell, Conor O'Shea, Padraig Cantillon-Murphy, Marcus Kennedy
Will be discussing the in-research, new design and performance of the non-commercial navigational platform for the diagnosis and evaluation of peripheral lung lesion.