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Spatial Dose Surface Map Visualization for Hollow Organ Dose Evaluation

A Witztum

A Witztum*, B George , M Partridge , F Van den Heuvel , M A Hawkins , CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK


SA-B-BRA|B-6 (Saturday, March 18, 2017) 10:30 AM - 12:30 PM Room: Ballroom A|B

Purpose: To utilize a new method of mapping 3D surface dose distributions for complex hollow organs to 2D dose surface maps (DSMs) to allow visualization of dose distributions directly from treatment planning systems (TPSs). Rather than rely on dose-volume information for hollow organs such as the esophagus, stomach, duodenum, and rectum, the spatial dose-surface distribution can provide further useful information to aid plan evaluation and research.

Methods: After the 3D dose distribution is calculated in the TPS, this software allows the user to create DSMs for hollow organs by extracting the dose cube and structure information directly from supported TPSs. After the user specifies start and end points of the organ and the required dimensions for the DSM, the software calculates a path between the points, casts rays and orients the resulting surface planes to meaningfully sample the organ surface, and unwraps each plane from the point distal to a user-defined marker. A lookup table defining the size of each DSM pixel is stored.

Results: An X by Y dose surface map is created for any hollow organ. The spatial dose distribution though the organ can be visualized. Features such as the surface area receiving at least a certain level of dose, hotspot size, length of organ and location receiving certain levels of dose, as well as any other spatial parameter can be calculated. Using outcome data, new spatial parameters and areas of interest can be investigated.

Conclusion: Spatial dose distribution information has for too long been limited to research and separated from clinical decisions. This software package brings DSM production into a simple and clinically-connected workflow that provides institutions the opportunity to consider spatial information in treatment planning. This package will also increase the amount of data available to researchers to investigate spatial parameters that are linked to toxicity.

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