Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
- PMID: 31442988
- PMCID: PMC7253296
- DOI: 10.1109/TVCG.2019.2934546
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
Abstract
We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment, dosage to organs at risk surrounding a tumor is a large cause of treatment toxicity. Along with the availability of patient repositories, this situation has lead to clinician interest in understanding and predicting RT outcomes based on previously treated similar patients. To enable this type of analysis, we introduce a novel topology-based spatial similarity measure, T-SSIM, and a predictive algorithm based on this similarity measure. We couple the algorithm with a visual steering interface that intertwines visual encodings for the spatial data and statistical results, including a novel parallel-marker encoding that is spatially aware. We report quantitative results on a cohort of 165 patients, as well as a qualitative evaluation with domain experts in radiation oncology, data management, biostatistics, and medical imaging, who are collaborating remotely.
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References
-
- Al-Awami AK, Beyer J, Haehn D, Kasthuri N, Lichtman JW, Pfister H, and Hadwiger M. Neuroblocks–visual tracking of segmentation and proofreading for large connectomics projects. IEEE Trans. Vis. Comp. Graph. (TVCG), pp. 738–746, 2016. - PubMed
-
- Amdur RJ, Li JG, Liu C, Hinerman RW, and Mendenhall WM Unnecessary laryngeal irradiation in the imrt era. Head & Neck: J. Sci. Spec. Head & Neck, pp. 257–264, 2004. - PubMed
-
- Böttger J, Schäfer A, Lohmann G, Villringer A, and Margulies DS Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain. IEEE Trans. Vis. Comp. Graph. (TVCG), pp. 471–480, 2014. - PubMed
-
- Caglar HB, Tishler RB, Othus M, Burke E, Li Y, et al. Dose to larynx predicts for swallowing complications after intensity-modulated radiotherapy. Int. J. Rad. Onco., Bio., & Phys, pp. 1110–1118, 2008. - PubMed