Shape-sensing Robotic-Assisted Bronchoscopy with cone beam CT for the investigation of pulmonary nodules: interim results of the first multicentre European trial
<bold>Introduction:</bold> Shape-Sensing Robotic-Assisted Bronchoscopy (ssRAB) is a novel alternative to traditional biopsy techniques for diagnosing pulmonary nodules. Intraprocedural three-dimensional imaging with cone beam CT (CBCT) may improve device precision. This is the first multicentre European study to evaluate the Ion Endoluminal system (Intuitive Surgical, CA) with CBCT. <bold>Aims:</bold> To investigate the effectiveness of combining ssRAB with cone beam CT (CBCT) in the biopsy of pulmonary nodules. <bold>Methods:</bold> A single arm, multicentre prospective study enrolling 200 subjects with pulmonary nodules sized between 6 to 30mm for biopsy using ssRAB with CBCT. The primary outcome is radiological tool-in-lesion. We report the interim outcomes for the first 100 subjects. NCT number: 05867953 <bold>Results:</bold> 108 nodules were sampled in 100 subjects (mean age 68 years, 71% female). The median size of nodules was 13mm (IQR 11-18mm), mean distance was 20mm from the pleura and 29% nodules had a positive bronchus sign. The rate of tool in lesion was 99% (88% in central third and 12% in outer two-thirds of nodule). Median procedure time was 48 minutes; median total radiation dose 12 Gy/cm2. 80 nodules were confirmed as malignant with sufficient tissue for molecular testing in 98% where it was requested. 28 nodules remain under surveillance. Five serious adverse events occurred in four subjects including one (1%) pneumothorax requiring chest drain insertion. In addition, two (non-serious) bleeding events required intervention (2%). <bold>Conclusion:</bold> ssRAB combined with CBCT enables the precise placement of sampling tools within 99% of target pulmonary nodules.
Authors
- Al‐Rehan Dhanji
- Laura Avanzi (ORCID: https://orcid.org/0000-0002-0461-8065)
- Christopher Michael Orton (ORCID: https://orcid.org/0000-0002-9167-5462)
- Kire Temov (ORCID: https://orcid.org/0009-0002-9480-9179)
- Embiya Ağaoğlu
- LT Chan (ORCID: https://orcid.org/0009-0000-0359-2740)
- Inês Meireles (ORCID: https://orcid.org/0000-0002-4122-4137)
- Justin Garner (ORCID: https://orcid.org/0000-0002-1292-8346)
- Jennifer L. Moore (ORCID: https://orcid.org/0000-0002-2774-1496)
- Anand Tana
- Pallav L. Shah (ORCID: https://orcid.org/0000-0002-9052-4638)
- Kelvin Lau
- Eleanor Scott
- Patrícia Pereira (ORCID: https://orcid.org/0000-0002-4243-2974)
- Jessica L. Thomas (ORCID: https://orcid.org/0000-0003-1843-1135)
- Aisha Kalyal
- Maria Lapuente
- Foteini Ttofia
- Ilecia Baboolal
- Ashish Karir
Institutions
- Barts Health NHS Trust (GB)
- Royal Brompton Hospital (GB)
- Lung Institute (US)
Publication Details
- Published
- 2024-09-14
- DOI
- https://doi.org/10.1183/13993003.congress-2024.oa2803
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00