ArticleJournal of thoracic disease2024
Cone-beam computed tomography-guided shape-sensing robotic bronchoscopy
Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Review
- Application of confocal laser endomicroscopy in the diagnosis of peripheral pulmonary lesions: a narrative review.Journal of thoracic disease · 2026Review
- Intraoperative Nodule Localization in Non-Small-Cell Lung Cancer: Existing and Emerging Techniques.Cancers · 2026Review
- Article
- RoboticERJ open research · 2026Article
- Innovations in Robotic-Assisted Bronchoscopy: Current Trends and Future Prospects.Diagnostics (Basel, Switzerland) · 2026Review
- Investigating Partial Registration for Optimizing Robotic-Assisted Bronchoscopy Evaluations of Peripheral Lung Nodules (I-PROBE).CHEST pulmonary · 2026Article
- Best practices in shape-sensing robotic bronchoscopy with mobile cone beam computed tomography guidance: how I do it.Journal of thoracic disease · 2026Review
- Shape-Sensing Robotic-Assisted Bronchoscopic Microwave Ablation for Primary and Metastatic Pulmonary Nodules: Retrospective Case Series.Diagnostics (Basel, Switzerland) · 2025Article
- The Additional Accuracy Gained by Cone Beam CT in Shape-Sensing Robotic Bronchoscopy.CHEST pulmonary · 2025Article
- A case series of nonintubated robotic-assisted bronchoscopy: a feasible alternative to intubated techniques.Translational lung cancer research · 2025Article
- Cone beam computed tomography for navigational bronchoscopy.Journal of thoracic disease · 2025Review
- Shape sensing robotic assisted bronchoscopy versus virtual bronchoscopic navigation in the diagnosis of peripheral pulmonary nodules.Scientific reports · 2025Article
- Protocol for robotic-assisted bronchoscopy versus electromagnetic navigation bronchoscopy for the diagnosis of peripheral pulmonary nodules: a randomized trial (ARTICULAtE study).Journal of thoracic disease · 2025Article
- Learning curve for electromagnetic navigation bronchoscopy-guided microwave ablation: a cumulative sum analysis.Journal of thoracic disease · 2025Article
- Article
- Localization strategies for deep lung nodule using electromagnetic navigation bronchoscopy and indocyanine green fluorescence: a technical note.Journal of thoracic disease · 2024Article
- Improving outcomes in electromagnetic navigation bronchoscopy-guided transbronchial microwave ablation for pulmonary nodules: the role of cone-beam computed tomography.Therapeutic advances in respiratory diseaseArticle
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Electromagnetic navigation bronchoscopy (ENB) and shape-sensing robotic-assisted bronchoscopy (ssRAB) are minimally invasive technologies for the diagnosis of pulmonary nodules. Cone-beam computed tomography (CBCT) has shown to increase diagnostic yield by allowing real-time confirmation of position of lesion and biopsy tool. There is a lack of comparative studies of such platforms using CBCT guidance to overcome computed tomography to body divergence. The aim of this study was to compare the diagnostic yield of ENB- and ssRAB-guided CBCT for biopsy of pulmonary nodules. Methods: We conducted a retrospective comparative study of consecutive patients undergoing ENB-CBCT and ssRAB-CBCT. Navigational success was defined as biopsy tool within lesion confirmed during CBCT. Diagnostic yield was assessed using two methods: (I) presence of malignancy or benign histological findings that lead to a specific diagnosis at the time of bronchoscopy, and (II) longitudinal follow-up of patients with nonspecific benign finding during bronchoscopy. Results: ENB-CBCT was used to biopsy 97 nodules and ssRAB-CBCT was used to biopsy 111 nodules. Median size of the lesion for the ENB-CBCT group was 16.5 mm [interquartile range (IQR), 12-22 mm] as compared to 12 mm (IQR, 9-16 mm) in the ssRAB-CBCT group (P<0.001). Navigational success was 70.1% in ENB-CBCT arm as compared to 83% in ssRAB-CBCT arm respectively (P=0.03). Diagnostic yield was 66% for ENB-CBCT and 89.2% for ssRAB-CBCT (P<0.001) following bronchoscopy; 79.4% for ENB-CBCT and 95.4% for ssRAB-CBCT (P<0.001) with longitudinal follow-up data respectively. Following multivariate regression analysis adjusting for the size of the lesion, distance from the pleura, presence of bronchus sign, number of CBCT spins, and number of nodules, the odds ratio for the diagnostic yield was 4.72 [95% confidence interval (CI): 2.05-10.85; P<0.001] in the ssRAB-CBCT group as compared with ENB-CBCT. The overall rate of adverse events was similar in both groups (P=0.77). Conclusions: ssRAB-CBCT showed increased navigational success and diagnostic yield as compared to ENB-CBCT for pulmonary nodule biopsies.
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