2011
DOI: 10.1097/cpm.0b013e318203657e
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Electromagnetic Navigation Bronchoscopy in the Diagnosis of Peripheral Lung Lesions

Abstract: Diagnosis of peripherally located lung masses is of low yield with flexible bronchoscopy and carries a high risk of pneumothorax with transthoracic fine needle aspiration. Electromagnetic navigation bronchoscopy has been used in these situations with reported high diagnostic yield and low risk of complications. We carried out a review of literature to assess the diagnostic yield and complication rate of electromagnetic navigation bronchoscopy compared with the traditionally used modalities for the diagnosis of… Show more

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Cited by 5 publications
(2 citation statements)
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“…The position sensor is registered to a preoperative computed tomography (CT) of the patient's chest to provide a road map to the target site [4]. However, there is significant variability in the diagnostic yield among institutions ranging from 67-74% [2], [5]. Accurate localization and robotic control of bronchoscopes can alleviate this variability and improve patient outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…The position sensor is registered to a preoperative computed tomography (CT) of the patient's chest to provide a road map to the target site [4]. However, there is significant variability in the diagnostic yield among institutions ranging from 67-74% [2], [5]. Accurate localization and robotic control of bronchoscopes can alleviate this variability and improve patient outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the incompleteness of this information, current commercially available tracking systems (e.g., superDimension), which are increasingly used in clinical applications, [9][10][11] reported their diagnostic accuracy between 59% and 74%, without sensitivity to tumor size. 12,13 To tackle this incomplete information for accurate endoscopic guidance, it is common to formulate such multimodal information fusion as an optimization process, which is usually solved by deterministic 14,15 or stochastic [16][17][18] approaches. Deterministic methods, typically 2D/3D image registration algorithms, 4 usually define an optimization function to minimize the pixel difference between endoscopic video images and virtual renderings generated from preoperative information.…”
Section: Introductionmentioning
confidence: 99%