Azurion and EmboGuide for tumor embolization procedures
Image-guided therapy

Tumor embolization

Effective guidance in treatment and decision-making for tumor embolization

The ability to detect and differentiate nodules and identify tiny feeder vessels is critical to determining proper therapy. Navigating to the region of interest by reaching all feeders, while remaining selective to the lesion and sparing healthy tissue increases the opportunity for success. Confirmation of treatment endpoint and treatment success while the patient is still on the table boosts clinical outcome confidence and enables efficient follow-up treatment planning.

Demonstrated results of EmboGuide in tumor embolization

  1. 86%

    sensitivity1

    86%

    sensitivity1

    Automatic Feeder Detection software improved feeding artery detection rates to 86% sensitivity during transarterial chemoembolization of HCC lesions with better user reproducibility compared with Cone-Beam CT alone.

  2. 57%

    fewer false positives1

    57%

    fewer false positives1

    Automatic Feeder Detection software can reduce false positives by 57%.

  3. 99.7%

    reader agreement1

    99.7%

    reader agreement1

    Automatic Feeder Detection software significantly improved detection of feeding arteries with 99.7% reader agreement.

  4. 22%

    less recurrence using CBCT vs 2D imaging alone2

    22%

    less recurrence using CBCT vs 2D imaging alone2

    A study showed that the recurrence rate of liver cancer within 36 months after TACE treatment is 52% using 2D imaging alone, and 30% using Cone Beam CT monitoring.

Supporting advanced techniques for tumor embolization - reliably and efficiently

Adoption of chemo/radioembolization techniques for liver lesions, such as transarterial chemoembolization (TACE) and selective internal radiation therapy (SIRT or TARE) drives the need for standardization and efficiency. In case after case, you must reliably and consistently locate the tumor(s), identify all feeder vessels and plan and execute the appropriate interventional approach.

Decide, guide, treat and confirm in tumor embolization

  • Decide treatment using whole liver coverage with CBCT Open, excellent artery and tumor visualization with CBCT Dual, and image fusion with Dual View. The DualPhase acquisition and Dual View functions allow simultaneous visualization of two sequentially acquired 3D data sets
  • Facilitate guidance and selective treatment by automatically detecting artery feeders with EmboGuide and overlaying the planned roadmap onto the live X-ray image
  • Monitor treatment using low-dose fluoroscopy with ClarityIQ
  • Confirm treatment completion through post-embolization 3D image fusion with Dual View

Effective guidance in treatment and decision making

  • SmartCT Soft Tissue with CBCT Open for whole liver coverage allows off-center positioning and better centering of the Field of View (FOV) to visualize peripheral tumors3
  • CBCT Dual enables 3D acquisition of an arterial phase to visualize vascular structures and post-arterial accumulation of contrast medium in a single automatic step
  • Visualize targeted deposition of embolic material in the tumor with post-embolization 3D imaging4
  • Simultaneously visualize pre- and post-embolization images with Dual View image fusion to assess treatment endpoint

Image gallery

  • Automatic Feeder Detection with EmboGuide
    Automatic Feeder Detection with EmboGuide
  • Effective guidance in treatment and decision making with EmboGuide
    Effective guidance in treatment and decision making with EmboGuide
  • Whole liver coverage with CBCT Open
    Whole liver coverage with CBCT Open
  • Optimizing artery and tumor visualization with CBCT Dual
    Optimizing artery and tumor visualization with CBCT Dual
  • Image fusion with Dual View
    Image fusion with Dual View
  • Post embolization 3D imaging with CBCT
    Post embolization 3D imaging with CBCT
  • Pre-and Post-embolization 3D image fusion with Dual View
    Pre-and Post-embolization 3D image fusion with Dual View

SmartCT has brought us at tableside all the capacity to manipulate the images. We could navigate in 3D and the volumes that we have already acquired. We could stretch this vessel, could have the calculation of the diameter and the length.

Dr. Hicham Kobeiter
Hospital Henri-Mondor AP-HP, Créteil, France
alt text for testimonial

Documentation

Onco suite - Critical insights for superior care in interventional oncology
PDF|(1.44 MB)
Azurion with FlexArm brochure
PDF|(700.01 KB)
Azurion with SmartCT Product Brochure
PDF|(2.43 MB)
Footnotes
  1. Chiaradia et al, J J,Sensitivity and Reproducibility of AFD Software for HCC, Vasc Interv Radiol 2018;29:425-431.
  2. Miyayama et al., Comparison of Local Control in Transcatheter Arterial hemoembolization of Hepatocellular Carcinoma ≤6 Cm With or Without Intraprocedural Monitoring of the Embolized Area Using Cone-Beam Computed Tomography Cardiovasc Intervent Radiol , 2014, 37 (2), 388-95.
  3. Schernthaner RE et al, Feasibility of a Modified Cone-Beam CT Rotation Trajectory to Improve Liver Periphery Visualization during Transarterial Chemoembolization, Radiology. 2015; 277(3):833–4
  4. Levi EB, et al. First human experience with directly image-able iodinated embolization microbeads. Cardiovascular and interventional radiology, vol 39, issue 8, 1177-1186, 2016
Disclaimer
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. Results in other cases may vary.