Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model

Background A possible surveillance model for patients with head and neck cancer (HNC) who received definitive radiotherapy was created using a partially observed Markov decision process. The goal of this model is to guide surveillance imaging policies after definitive radiotherapy. Methods The parti...

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Veröffentlicht in:	Cancer 2020-02, Vol.126 (4), p.749-756
Hauptverfasser:	Ng, Sweet Ping, Ajayi, Temitayo, Schaefer, Andrew J., Pollard, Courtney, Bahig, Houda, Garden, Adam S., Rosenthal, David I., Gunn, G. Brandon, Frank, Steven J., Phan, Jack, Morrison, William H., Johnson, Jason M., Mohamed, Abdallah S. R., Sturgis, Erich M., Fuller, Clifton D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cancer Carcinoma, Squamous Cell - diagnostic imaging Carcinoma, Squamous Cell - radiotherapy Cohort Studies Computer simulation Cost estimates Female Head & neck cancer head and neck cancer Head and Neck Neoplasms - diagnostic imaging Head and Neck Neoplasms - radiotherapy Humans Magnetic Resonance Imaging - methods Male Markov analysis Markov Chains Markov modeling Markov processes Medical imaging Middle Aged Models, Biological Monitoring, Physiologic - methods Neoplasm Recurrence, Local Oncology Parameter estimation Patients Policies Radiation therapy radiotherapy Reinforcement Surveillance surveillance imaging Tomography, X-Ray Computed - methods Transition probabilities
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