Under-Representation for Female Cancers in Commercial Auto-Segmentation Solutions and Open-Source Imaging Datasets

CONCLUSION: Commercial auto-segmentation solutions and open-source imaging datasets together include considerably more datasets, tumor sites and consequently more OAR auto-segmentations pertaining to male cancers compared to female cancers. Despite a 1.4 times higher incidence for female cancers (breast: 300,590; female pelvis: 114,810; male cancer: 299,540; Siegel RL et al CA Cancer J Clin 2023), auto-segmentation models are lacking, and this gender disparity is likely to lead to suboptimal care for female-specific cancers.PMID:37784423 | DOI:10.1016/j.ijrobp.2023.06.236

Source: Clinical Breast Cancer - October 3, 2023 Category: Cancer & Oncology Authors: M Thor V M Williams H Veeraraghavan C Hajj N Tyagi A Dave L I Cervino J M Moran Source Type: research