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Elements Solutions for Retreatment Analysis Transforming retreatment of multiple brain metastases

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Elements Solutions for Retreatment Analysis supports the follow-up and decision-making process and facilitates retreatment planning for patients with multiple brain metastases. With Elements Retreatment Review, you can generate an overview of all prior treatments and current patient status—helping to plan optimal retreatment strategies.

Make the optimum treatment decisions  

Align all prior treatment information with new follow-up scans to assess the current status of your patient. Benefit from a comprehensive, color-coded overview of new and previously treated metastases that will support your decision-making for potential retreatment for patients with new metastases.

Benefit from advanced AI-powered tumor segmentation1

Integrate Elements AI Tumor Segmentation for fast and easy delineation, supporting the review of recurring or new lesions in Elements Retreatment Review. This new AI-based method can segment supported cranial tumors on contrast-enhanced T1-weighted MRI scans.

1Not yet commercially available in several countries. Please contact your sales representative. 

Automatically consider previous PTVs during new arc placement 

The Retreatment Review solution supports treatment planning for new and recurring lesions by automatically integrating prior PTV information during arc placement in the new dose plan.

Hear from experts in the field 

When past is prologue, rely on us

Elements Retreatment Review workflow

Streamline retreatment of multiple brain metastases

Elements Retreatment Review generates a color-coded display of previous and new targets, dose overlays of all previously delivered doses with optional weighting for potential cell repair, dose-volume histograms (DVHs), and automatic calculation of maximum doses to all organs at risk (OARs).

The software automatically aligns all prior treatment information created in RT Elements or imported from third-party systems.

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Rethink retreatment workflows

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