Work

OAR-Weighted Dice Score: A spatially aware, radiosensitivity aware metric for target structure contour quality assessment

Year: 2024

Type: conference-paper

Abstract: standard to determine agreement between a reference segmentation and one generated by manual / auto-contouring approaches. This metric is useful for non-spatially important images; however, radiation therapy requires consideration of nearby Organs-at-Risk (OARs) and their radiosensitivity which are currently unaccounted for with the traditional DSC. In this work, we introduce the OAR-DSC which accounts for nearby OARs and their radiosensitivity when computing the DSC. We illustrate the importance of this through cases where two proposed contours have similar DSC, but lower OAR-DSC when one contour expands closer to the surrounding OARs. This work is important because the OAR-DSC may be used by deep learning auto-contouring algorithms in a radiation therapy specific loss function, thereby progressing on the current disregard for the importance of these differences on the final radiation dose plan generation, delivery, and risks of patient toxicity.

Source: PubMed

DOI: 10.48550/arxiv.2410.20243

Authors: McCullum, Lucas, Wahid, Kareem A., Marquez, Barbara, Fuller, Clifton D.

Institutions: The University of Texas MD Anderson Cancer Center, The University of Texas Health Science Center at Houston

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: University of Texas Health Science Center at Houston, National Institutes of Health, University of Texas MD Anderson Cancer Center, National Cancer Institute