Electromagnetic Navigation Diagnostic Bronchoscopy

Gildea, Thomas R.; Mazzone, Peter J.; Karnak, Demet; Meziane, Moulay; Mehta, Atul C.

doi:10.1164/rccm.200603-344oc

Cited by 384 publications

(303 citation statements)

References 44 publications

(45 reference statements)

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“…Its reliability and accuracy were recently demonstrated in a trial carried out by the Cleveland Clinic. 6 The mean size of the biopsied nodules in that study was 22.8 mm, and of the lymph nodes 28.1 mm, and the diagnostic yield of bronchoscopy was 74% and 100%, respectively. The only complications were 2 cases of pneumothorax in a total of 60 patients, and the navigation times were quite short, with a mean of 7 and 2 minutes, respectively.…”

Section: Discussionmentioning

confidence: 67%

Preliminary Experience With the Use of Electromagnetic Navigation for the Diagnosis of Peripheral Pulmonary Nodules and Enlarged Mediastinal Lymph Nodes

Seijó

Bastarrika

Lozano

et al. 2007

Archivos de Bronconeumología ((English Edition))

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Section: Discussionmentioning

confidence: 67%

Preliminary Experience With the Use of Electromagnetic Navigation for the Diagnosis of Peripheral Pulmonary Nodules and Enlarged Mediastinal Lymph Nodes

Seijó

Bastarrika

Lozano

et al. 2007

Archivos de Bronconeumología ((English Edition))

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“…Sensor-based guidance utilizes a sensing coil (sensor) attached to the tip of the bronchoscope and localized by an electromagnetic tracking system, such as the commercially available superDimension navigation system (Solomon et al, 2000;Gildea et al, 2006;Schwarz et al, 2006;Becker et al, 2005). However, such navigation systems suffer from the following bottlenecks: (a) sensitivity to localization problems resulting from any patient movement (i.e., respiratory motion or coughing).…”

Section: Introductionmentioning

confidence: 99%

Development and comparison of new hybrid motion tracking for bronchoscopic navigation

Luo

Feuerstein

Deguchi

et al. 2012

Medical Image Analysis

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This paper presents a new hybrid camera motion tracking method for bronchoscopic navigation combining SIFT, epipolar geometry analysis, Kalman filtering, and image registration. In a thorough evaluation, we compare it to state-of-the-art tracking methods. Our hybrid algorithm for predicting bronchoscope motion uses SIFT features and epipolar constraints to obtain an estimate for interframe pose displacements and Kalman filtering to find an estimate for the magnitude of the motion. We then execute bronchoscope tracking by performing image registration initialized by these estimates. This procedure registers the actual bronchoscopic video and the virtual camera images generated from 3D chest CT data taken prior to bronchoscopic examination for continuous bronchoscopic navigation. A comparative assessment of our new method and the state-of-the-art methods is performed on actual patient data and phantom data. Experimental results from both datasets demonstrate a significant performance boost of navigation using our new method. Our hybrid method is a promising means for bronchoscope tracking, and outperforms other methods based solely on Kalman filtering or image features and image registration.

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“…The complications are similar to conventional bronchoscopy, but there is a major drawback, the costs [8,9].…”

Section: Broncho-alveolar Lavage (Bal)mentioning

confidence: 98%

The Importance of Bronchoscopy in Early Lung Cancer (LC) Diagnosis

Tofolean

Fildan

Danteş

et al. 2016

ARS Medica Tomitana

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Lung cancer is a leading cause of death worldwide, due to the fact that most patients are diagnosed in a fairly advanced stage. Screening tests such as sputum citology, chest x-rays or CT scans have their limitations and need further histological confirmation of the diagnosis. Therefore, the need forfast and accurate detection and staging of lung cancer has determined the development of advanced medical procedures using bronchoscopic methods such as white light bronchoscopy, narrow-band imaging, auto-fluorescence bronchoscopy, confocal fluorescence microendoscopy or echoendoscopy.

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Electromagnetic Navigation Diagnostic Bronchoscopy

Abstract: Electromagnetic navigation bronchoscopy is a safe method for sampling peripheral and mediastinal lesions with high diagnostic yield independent of lesion size and location.

Cited by 384 publications

References 44 publications

Preliminary Experience With the Use of Electromagnetic Navigation for the Diagnosis of Peripheral Pulmonary Nodules and Enlarged Mediastinal Lymph Nodes

Preliminary Experience With the Use of Electromagnetic Navigation for the Diagnosis of Peripheral Pulmonary Nodules and Enlarged Mediastinal Lymph Nodes

Development and comparison of new hybrid motion tracking for bronchoscopic navigation

The Importance of Bronchoscopy in Early Lung Cancer (LC) Diagnosis

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