A Classification Model to Identify Target Selection Acceptability from a Library of Plans for Bladder Cancer Radiotherapy
We developed an algorithm to assess plan selection from a pre-existing plan library to unlock the full potential of plan-of-the-day (POTD) radiotherapy. The algorithm mimics nuanced human decision-making, automatically identifying the best plan (small- or med...
Sarah A BlackledgeSaleh SandoughdaranHelen McNairElizabeth JoyceShaista Hafeez
Diagnostic and Interventional Radiology Physics
Automatic Classification of Pre-Existing Plan Acceptability As a Decision-Support Tool to Streamline Online Adaptive Radiotherapy
Online adaptive radiotherapy (oART) is time-consuming and resource-intensive. To alleviate this, we developed a tool combining autocontouring and image registration to classify pre-existing treatment plans (Planspre), defined as the offline reference plan or...
Sarah A BlackledgeSophie E AlexanderHelen McNair
Therapy Physics