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Patterns of soft tissue metastasis in patients with urothelial carcinoma using tumor volume heatmaps.
Urothelial carcinoma is fairly common, with an estimated 74,000 new cases diagnosed, representing approximately 4.5% of all new cancer cases in the United States in 2015. In patients with metastatic disease an important prognostic factor includes the presence of visceral metastasis (e.g. lung, liver, bone). Treatment options for metastatic disease are limited to systemic therapies, such as cabozantinib chemotherapy. Cabozantinib works by inhibiting the tyrosine kinase activity of MET, VEGFR, c-KIT, and RET. Patterns of metastasis have been studied in various cancer types by means radiologic imaging, and less frequently by autopsy reviews through population-based analysis and small retrospective analysis. Computed tomography (CT) scans, magnetic resonance imaging, and bone scans are commonly used throughout the care and maintenance of urothelial carcinoma. However, there is an underwhelming amount of data/research that utilizes radiologic imaging as a tool to assess metastatic patterns. We seek to address this gap by introducing a heatmap, created by CT image data, as a tool to visualize the patterns of metastases in patients with urothelial cancer.