Publications by authors named "U Oelfke"
Article Synopsis
- The study focuses on using deep learning to improve the speed and quality of radiation treatment planning by predicting patient-specific 3D dose distributions in real time.
- It analyzed the impact of training dataset size and model complexity on the accuracy of dose predictions for 1250 prostate patients, using various sizes of neural network models.
- Results showed that more training data increases prediction accuracy, with the most effective model achieving low prediction errors in dose distribution despite not reaching a plateau in accuracy at 1000 training patients, indicating potential for further optimization.
Treatment planning for very high energy electrons: Studies that indicate the potential of the modality.
Phys Imaging Radiat Oncol
October 2024
Background And Purpose: Radiotherapy using Very High Energy Electrons (VHEE) has the potential to reduce dose to organs at risk compared to photons. This article therefore reviews treatment planning for VHEE, to clarify the potential benefit of the modality.
Materials And Methods: Articles on VHEE were identified and those which focused on treatment planning were manually selected, particularly those which contained results on patient datasets.
Article Synopsis
- Intensity modulated proton therapy (IMPT) faces challenges from patient setup and proton range uncertainties, leading to longer planning times with robust optimization methods.
- A deep learning (DL) model was developed to predict dose distributions in various error scenarios for head and neck cancer patients, effectively evaluating plan robustness.
- The model demonstrated impressive accuracy, aligning closely with ground truth plans for most patients, and was able to predict full 3D dose distributions quickly, making it a viable option for enhancing IMPT treatment planning.
Aims: The magnitude of upper abdominal organ motion in children may be overestimated by current planning target volumes (PTV). A four-dimensional computed tomography (4DCT) - derived internal target volume (ITV) is frequently used in adult radiotherapy to take respiratory-related organ motion into account. In this study, the dosimetric consequences for target coverage and organs at risk from the use of an ITV approach compared to standard PTV margins in children with high-risk neuroblastoma were investigated.
View Article and Find Full Text PDFIntroduction: We aimed to establish if stereotactic body radiotherapy to the prostate can be delivered safely using reduced clinical target volume (CTV) to planning target volume (PTV) margins on the 1.5T MR-Linac (MRL) (Elekta, Stockholm, Sweden), in the absence of gating.
Methods: Cine images taken in 3 orthogonal planes during the delivery of prostate SBRT with 36.