Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model.
Sweet Ping NgTemitayo AjayiAndrew J SchaeferCourtney PollardHouda BahigAdam S GardenDavid I RosenthalG Brandon GunnSteven J FrankJack PhanWilliam H MorrisonJason M JohnsonAbdallah S R MohamedErich M SturgisClifton D FullerPublished in: Cancer (2019)
This model suggests that less frequent surveillance scan policies can maintain adequate information on relapse status for patients with HNC treated with radiotherapy. This model could potentially translate into a more cost-effective surveillance program for this group of patients.
Keyphrases
- public health
- newly diagnosed
- early stage
- locally advanced
- end stage renal disease
- radiation therapy
- computed tomography
- chronic kidney disease
- high resolution
- radiation induced
- squamous cell carcinoma
- magnetic resonance imaging
- prognostic factors
- magnetic resonance
- health information
- rectal cancer
- patient reported outcomes
- social media
- fluorescence imaging