Neurovascular treatment for AVMs and AVFs
Decide confidently whether to treat or not treat complex AVMs, AVFs and other malformations
Demonstrated results
75%
dose reduction in neuro DSA[2]
with ClarityIQ compared to a system without ClarityIQ. Its automatic motion compensation removes skull and motion artifacts, which is key when placing small devices at the base of the skull
100%
of users
found that controlling SmartCT is intuitive and easy to learn[3]
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Featured products
Image Guided Therapy System - Azurion 7 B20/15 Biplane
High-quality neuro-specific lateral detector can be positioned close to the patient’s head while providing full brain coverage. Secure, fast lateral gantry parking allows seamless switch between 2D and 3D image acquisition. Frontal arc 135° position enables optimal head-end access to the patient.
SmartCT Angio
Provides a volumetric view to assist assessment of feeding arteries, draining veins, arterialized veins, nidus and ruptured or unruptured pathology to guide decision-making. 3D volumes are visualized with high spatial resolution and automatic patient movement compensation to enhance visibility.
SmartCT Vaso
Visualizing sub-millimeter vascular anatomy improves the chances of treatment success and raises treatment confidence. SmartCT Vaso offers high-resolution 3D imaging to reveal key information about cerebral vascular structures, supporting the highest possible spatial assessment of vessels.
SmartCT Roadmap
Provides a live 3D image overlay that can be segmented to emphasize the targeted vessel and lesions, supporting fast, confident catheter navigation through complex vessel structures. The SmartCT Roadmap overlays a 3D reconstruction of the vessel tree, vessel segments or annotations with live fluoro.
ClarityIQ
When you are monitoring AVMs over time, subtraction artifacts can disguise clinical information. ClarityIQ helps remove information that may be misleading, in real time without user interaction. During treatment, ClarityIQ enables visualization of direction and arrival of the liquid embolic agent.
SmartCT Soft Tissue
This acquisition technique generates a CT-like visualization of soft tissue in relation to other structures during procedures. You can use the CT-like images to assess soft tissue after an AVM intervention to check the final result and potential bleeds while the patient is still on the table.
“The switch to the Azurion system immediately led to much higher image quality, less time for us to spend on post-processing, and to very very strong dose reduction.
PD Dr. Tobias Boeckh - Behrens
Deputy managing director of the Department of diagnostic and interventional Neuroradiology , Head of Neurointervention , University Hospital Rechts der Isar, Munich, Germany
“The Azurion system with the SmartCT is for sure the best system ever made by Philips. It has profited from the experience provided by the users and it’s for sure something which is incredibly very easy to use.
Professor Laurent Spelle
Chef de Service at NEURI Bicêtre, Paris, France
Resources
- Documentation
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Technologies and innovations
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Providing superb image quality at ultra-low dose settings.
Related stories
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Learn how NEURI Bicêtre is using Philips Azurion Neuro suite to optimize neurovascular decision making. Profs. Laurent Spelle and Jacques Moret and Dr. Jildaz Caroff share insight. Watch now.
Product availability is subject to country regulatory clearance. Please contact your local sales representative to check the availability in your country.
[1] 3D reconstructions at higher resolution settings may take longer times.
[2] Söderman M, Holmin S, Andersson T, Palmgren C, Babic D, Hoornaert B. Image noise reduction algorithm for digital subtraction angiography: clinical results. Radiology. 2013 Nov;269(2):553-60. The results of the application of dose reduction techniques will vary depending on the clinical task, patient size, anatomical location and clinical practice. The interventional radiologist assisted by a physicist as necessary has to determine the appropriate settings for each specific clinical task.
[3] Market Research Group reports ‘16-’17.
