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Ion Robotic Bronchoscopy

Minimally invasive lung biopsy in all segments of the lung

Time to intervention is critical

In lung cancer, time to intervention is critical. Robotic bronchoscopy with Ion enables clinical confidence to get early answers and accelerates program impact.

Intuitive built Ion on the belief that collecting lung tissue samples for biopsy could be safe and simple, even when lung nodules are small and located in the periphery. Ion’s ultrathin, ultramaneuverable catheter allows clinicians to reach small lesions in all 18 segments of the lung with more reach, precision, and stability.1

Reimagining the lung cancer patient pathway

Many patients require multiple biopsies prior to lung cancer diagnosis, which can add months to a patient’s journey to care.2 One goal in designing Ion was to shorten the patient journey by making it possible to reach and biopsy difficult-to-reach nodules in the peripheral lung, where more than 70% of cancerous lung nodules may be located.3 Ion supports finding answers faster along a less invasive path to diagnosis.

What makes Ion robotic bronchoscopy systems the platform of the future?

Ion has been developed in partnership with the lung community to be future-proof. Intuitive provides holistic support to optimize your bronchoscopy service line and accelerate thoracic oncology program development.

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  1. Comparison to reach, precision and stability are relative to manual bronchoscope and biopsy techniques. Reach is defined by airway generation access. Precision is the ability to place a biopsy tool in a desired location consistently. Stability is enabled by fiber optic sensing technology which maintains active robotic control of catheter position and corrects unwanted tip deflection. Data on file at Intuitive.
  2. Zhang Y, Shi L, Simoff MJ, J Wagner O, Lavin J. Biopsy frequency and complications among lung cancer patients in the United States. Lung Cancer Manag. 2020;9(4):LMT40. Published 2020 Aug 17. doi:10.2217/lmt-2020-0022.
  3. Horeweg N, van der Aalst CM, Thunnissen E, et al. Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial. Am J Respir Crit Care Med. 2013;187(8):848-854. doi:10.1164/rccm.201209-1651OC.
  4. Results based on internal testing. Data on file.
  5. PlanPoint software features and functionality (including biopsy planning, segmentation, auto anatomy border, user flexibility) or features and functionality of the Ion endoluminal system.