ArticleJournal of medical physics
Comparison of Dosiomics Features and Dosimetric Parameters for Detecting Variations in Dose Distribution in Breast Cancer Radiotherapy.
Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Background: This study aimed to investigate and compare the ability of dosiomics features (DFs) and dosimetric parameters (DPs) in detecting variations in dose distribution. Materials and Methods: This research included 15 patients with early-stage breast cancer who had previously undergone radiotherapy using three-dimensional (3D) conformal radiotherapy technique. Four treatment plans are created by different users for each patient. DPs such as Results: Results showed that the planning target volume (PTV) and heart had the highest CV values in the gray level size zone matrix group (1.05, 0.68). The PTV showed the highest CV for SZM-large area low gray level emphasis, the lung for SZM-Small area low gray level emphasis, and the heart for SZM-size zone nonuniformity. For the Conclusion: The findings suggest that DFs are more effective than DPs in differentiating between dose distributions. These features could play a key role in future radiotherapy plan evaluations with further study.
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