OAR-Weighted Dice Score: A Spatially Aware, Radiosensitivity Aware Metric for Target Structure Contour Quality Assessment

Authors

Lucas McCullum
Kareem A Wahid
Barbara Marquez
Clifton D Fuller

Publication Date

7-1-2024

Journal

The Use of Computers in Radiation Therapy

Abstract

The Dice Similarity Coefficient (DSC) is the current de facto 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.

PMID

39512542

PMCID

PMC11542924

PubMedCentral® Posted Date

11-7-2024

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes