Watch HERE the recording of our Satellite Symposium at ECR2020.

“Imaging solutions for a new reality. Made Possible.
– Optimized workflow for Increasing patient throughput –”

Our Satellite Symposium was broadcasted live on Friday 17 July through ESR Connect and ECR 2020 Summer Edition.

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Moderator: Prof. Catherine Oppenheim, Centre Hospitalier St. Anne, Paris, France
Speaker: Prof. Catherine Roy, University of Strasbourg, France
Title: CT Imaging in a New Age.
CT imaging in the new age requires a CT scanner that is able to combine high throughput and efficient workflows with new clinical capabilities.
The Aquilion ONE / PRISM Edition supports the team in Strasbourg Hospital to be more
confident when analyzing their complex cases in which the focus on details can sometimes be essential. The spectral imaging capabilities on Aquilion ONE / PRISM Edition allow for the assessment of new imaging parameters such as the iodine load quantification resulting in excellent tissue characterization.
These complex cases also require the best possible image quality. The Aquilion ONE / P RISM Edition offers Deep Learning Reconstruction software Advanced intelligent Clear IQ Engine (AiCE). AiCE has been trained to reduce noise and boost signal to deliver sharp, clear and distinct images at high speed.
Prof. Roy will share in this presentation how the recent installation of the Aquilion ONE / PRISM Edition has impacted their Radiology service, how the Advanced intelligent Clear IQ Engine (AiCE) is being used in clinical routine and what impact Spectral scanning has had on their clinical practice.
Speaker: Dr. Ewoud Smit, Radboud University, Nijmegen, the Netherlands
Title: Deep Learning Reconstruction in CT – Technical Background and Clinical Applications.
Abstract: Discusses deep learning image reconstruction in CT imaging including its clinical applications. As the name suggests, deep learning reconstruction is a new image reconstruction technique that uses deep learning to reconstruct CT images and it is the successor to hybrid- and model-based iterative reconstruction. We will discuss how this method works and see that it results in excellent image quality, fast reconstruction times and substantial radiation dose reduction. Finally, we will share our experiences after using the technique for nearly two years in routine clinical practice, and review the clinical applications of deep learning reconstruction in various subspecialties.
Speaker: Prof. Franco Orsi, Istituto Europeo di Oncologia, Milano, Italy
Title: Alphenix 4D-CT in IO: One-Year Experience in Precision and Safety
Interventional Oncology is emerging as the forth “essential” pillar of the modern Oncology, together with Clininical Oncology, Surgical Oncology and Radiotherapy. More and more demanding interventions are indicated in order to minimize the invasiveness of local therapies and in the meantime providing better and better clinical results. That is the practical reason why, there is an increasing need of more efficient and safer techniques, behind the local therapies. Imaging is the back-bone of any IO therapies, then it is intuitive that a better imaging quality, might provide better safety and effectiveness of interventions.
IO suite should include all the imaging facilities, for covering any kind of possible approach, from the intrarterial options to the most complex percutaneous therapies. CT, Angio and US are essential imaging tools which provide a 360° overview during image-guided procedures, but more important is the “integration” between the different imaging sources. Some IO interventions will be presented during this session, with the aim to show how the new technologies may allow for performing really safe and effective local therapies into the Oncology field.
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