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Updated: Feb 15, 2026

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules
Published on: May 23, 2015
Use of electromagnetic navigational bronchoscopy in robotic pulmonary resection
Patrick F Vining1, Timothy M Lee2, Costas S Bizekis2
1Department of Cardiothoracic Surgery, New York University, 550 1st Avenue, New York, NY, 10016, USA. Patrick.vining@med.nyu.edu.
Abstract:
Robotic resection of pulmonary lesions has become a more common approach in the field of thoracic surgery. The greatest drawback of robotic resection is the lack of tactile feedback as compared to open approaches, making identification of intrapulmonary lesion difficult. Electromagnetic navigational bronchoscopy (navibronch) enables pre-incisional marking of pulmonary lesions for intraoperative identification. We sought to determine how effective navibronch was in our institution's robotic cases. Thirty-one patients underwent robotically assisted resection of 35 lesions with the assistance of navibronch from 7/2014 to 9/2015. Retrospective demographic and operative data were collected on these patients, and statistical analysis was conducted using ANOVA means testing, Chi-square, and non-parametric tests. The average age in this patient population was 63.7 ± 13.5 years. Eight patients (25.8%) were male. Twenty-five (80.6%) of the patients had pathology involving one lobe, with six (19.4%) in two lobes. 34 of the resections (97.1%) resulted in dye being localized to the first specimen; 34 (97.1%) were found to have the target pathology in the initial specimen. Further resection was carried out in 22 (62.9%) cases, with the final resection resulting in a segment in 2 (5.7%) and a lobe in 14 (40.0%). The mean number of lung specimens collected was 1.94 ± 0.13. The mean number of tumors in each target resection was 1.46 ± 0.66 in final pathology. Malignancy was found in 19 (54.3%) of final specimens. There were no complications related to navibronch. Navibronch is an effective technique in the identification and localization of pulmonary lesions in robotically assisted lung resections.
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