Towards a Clinical Decision Support System for External Beam Radiation Oncology Prostate Cancer Patients: Proton vs. Photon Radiotherapy? A Radiobiological Study of Robustness and Stability.
Seán WalshErik RoelofsPeter KuessYvonka van WijkBen G L VannesteAndre DekkerPhilippe LambinBleddyn JonesDietmar GeorgFrank VerhaegenPublished in: Cancers (2018)
We present a methodology which can be utilized to select proton or photon radiotherapy in prostate cancer patients. Four state-of-the-art competing treatment modalities were compared (by way of an in silico trial) for a cohort of 25 prostate cancer patients, with and without correction strategies for prostate displacements. Metrics measured from clinical image guidance systems were used. Three correction strategies were investigated; no-correction, extended-no-action-limit, and online-correction. Clinical efficacy was estimated via radiobiological models incorporating robustness (how probable a given treatment plan was delivered) and stability (the consistency between the probable best and worst delivered treatments at the 95% confidence limit). The results obtained at the cohort level enabled the determination of a threshold for likely clinical benefit at the individual level. Depending on the imaging system and correction strategy; 24%, 32% and 44% of patients were identified as suitable candidates for proton therapy. For the constraints of this study: Intensity-modulated proton therapy with online-correction was on average the most effective modality. Irrespective of the imaging system, each treatment modality is similar in terms of robustness, with and without the correction strategies. Conversely, there is substantial variation in stability between the treatment modalities, which is greatly reduced by correction strategies. This study provides a 'proof-of-concept' methodology to enable the prospective identification of individual patients that will most likely (above a certain threshold) benefit from proton therapy.
Keyphrases
- prostate cancer
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- early stage
- clinical decision support
- radiation therapy
- healthcare
- deep learning
- social media
- mass spectrometry
- squamous cell carcinoma
- electronic health record
- radiation induced
- open label
- benign prostatic hyperplasia
- electron microscopy