Learning Outcomes
By the end of this course participants should be able to:
•Define a QA-programme for 3D image-based BT treatment planning
•Identify and understand the benefits and limitations of alternative 3D dose calculation algorithms
•Identify the benefits and limitations of using inverse optimisation and planning technology in specific disease sites
•Identify the need for, and implement, a verification process for specific BT treatment techniques
•Delineate the relative importance of different sources of uncertainty for specific BT applications.
Course Content
3D Imaging and localisation in brachytherapy:
·Overview of 3D imaging modalities and techniques for brachytherapy
·Tissue segmentation and characterisation using 3D imaging
·Catheter/applicator and source localization using 3D imaging
·Demands on QA of 3D imaging
·Practical session on 3D image-based localisation methods (U/S, CT, MR).
Advanced 3D dose calculation:
·TG43: essentials and limitations
·Monte Carlo simulation-based dosimetry
·The grid-based Boltzmann equation solver algorithm (Acuros)
·The collapsed cone superposition algorithm (ACE)
·Commissioning of 3D algorithms beyond TG43 in clinical practice
·Practical session on evaluating alternative 3D dose calculation algorithms.
Dose optimisation, evaluation, prescription, and reporting:
·Optimisation and inverse planning
·Dose plan evaluation
·Prescription and reporting
·Practical session on optimisation, prescription, and evaluation.
Experimental methods and dosimetry:
- Calibration of source ionizing radiation output
- Experimental dosimetry in brachytherapy
- Treatment delivery verification
- In vivo dosimetry.
Uncertainties and quality management:
- Uncertainties and their clinical impact in brachytherapy
- Quality management.
Prerequisites