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BCCancer VIctoria
At BC Cancer-Victoria, existing pathways for patients requiring rapid, same-day RT are limited to simple field-based planning. Patients who would benefit from more conformal techniques or who require consideration of prior treatment history currently experien...
To compare the reproducibility of radiomics features between deep learning (DL) and adaptive statistical iterative reconstruction (ASIR) CT images under systematic acquisition parameter variations using the GE Revolution Apex scanner.
A Novel system to distribute evenly and efficiently patient-specific daily, quarterly and yearly clinical workload was developed and optimized to reduce risk of burnout and create space for non-clinical activities.
To evaluate the reproducibility and electron density sensitivity of CT radiomics features across spectral image types and deep learning reconstruction levels using a tissue-equivalent phantom.
Knowledge-based planning tools like RapidPlan (RP) estimate dose-volume histograms (DVH) for organs-at-risk based on anatomical features and historical data. DVH estimates can then be used to guide treatment planning. However, planners may modify the optimiza...