Abstract:Background
The current study was performed to assess the efficacy of surveillance imaging in patients with head and neck cancer (HNC) who are treated definitively with radiotherapy.
Methods
Eligible patients included those with a demonstrable disease‐free interval (≥1 follow‐up imaging procedure without evidence of disease and a subsequent visit/imaging procedure) who underwent treatment of HNC from 2000 through 2010.
Results
A total of 1508 patients were included. The median overall survival was 99 months, wi… Show more
“…8,15,30 Schwartz et al 15 reported that 86% of recurrent disease was detected clinically, and no survival benefit was found in those who had the disease detected by imaging alone. This model provides a potential framework to establish a more cost-effective and time-effective surveillance program.…”
Section: Discussionmentioning
confidence: 99%
“…8 Although the data used in this model were Cancer February 15, 2020 based on a single-institution data set, they included follow-up data on >1500 patients with a median follow-up of 99 months-allowing the model to make assumptions as "real-life" as possible. 8 Although the data used in this model were Cancer February 15, 2020 based on a single-institution data set, they included follow-up data on >1500 patients with a median follow-up of 99 months-allowing the model to make assumptions as "real-life" as possible.…”
Section: Discussionmentioning
confidence: 99%
“…8 The majority (82%) had oropharyngeal cancer, and 63% were never smokers or former light smokers (less than ten pack years). 8 The majority (82%) had oropharyngeal cancer, and 63% were never smokers or former light smokers (less than ten pack years).…”
Section: Patient Data Setmentioning
confidence: 99%
“…8 Patients' demographics, tumor and treatment characteristics, frequency of surveillance imaging and modality, and disease recurrence details were provided. We consider both finite and infinite horizon models.…”
Section: Decision Modelmentioning
confidence: 99%
“…An institutional data set of patients with mucosal HNC who were treated with radiotherapy was used in this model. 8 Patients' demographics, tumor and treatment characteristics, frequency of surveillance imaging and modality, and disease recurrence details were provided.…”
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 partially observed Markov decision process model was formulated to determine the optimal times to scan patients. Transition probabilities were computed using a data set of 1508 patients with HNC who received definitive radiotherapy between the years 2000 and 2010. Kernel density estimation was used to smooth the sample distributions. The reward function was derived using cost estimates from the literature. Additional model parameters were estimated using either data from the literature or clinical expertise. RESULTS: When considering all forms of relapse, the model showed that the optimal time between scans was longer than the time intervals used in the institutional guidelines. The optimal policy dictates that there should be less time between surveillance scans immediately after treatment compared with years after treatment. Comparable results also held when only locoregional relapses were considered as relapse events in the model. Simulation results for the inclusive relapse cases showed that <15% of patients experienced a relapse over a simulated 36-month surveillance program. CONCLUSIONS: 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. Cancer 2020;126:749-756.
“…8,15,30 Schwartz et al 15 reported that 86% of recurrent disease was detected clinically, and no survival benefit was found in those who had the disease detected by imaging alone. This model provides a potential framework to establish a more cost-effective and time-effective surveillance program.…”
Section: Discussionmentioning
confidence: 99%
“…8 Although the data used in this model were Cancer February 15, 2020 based on a single-institution data set, they included follow-up data on >1500 patients with a median follow-up of 99 months-allowing the model to make assumptions as "real-life" as possible. 8 Although the data used in this model were Cancer February 15, 2020 based on a single-institution data set, they included follow-up data on >1500 patients with a median follow-up of 99 months-allowing the model to make assumptions as "real-life" as possible.…”
Section: Discussionmentioning
confidence: 99%
“…8 The majority (82%) had oropharyngeal cancer, and 63% were never smokers or former light smokers (less than ten pack years). 8 The majority (82%) had oropharyngeal cancer, and 63% were never smokers or former light smokers (less than ten pack years).…”
Section: Patient Data Setmentioning
confidence: 99%
“…8 Patients' demographics, tumor and treatment characteristics, frequency of surveillance imaging and modality, and disease recurrence details were provided. We consider both finite and infinite horizon models.…”
Section: Decision Modelmentioning
confidence: 99%
“…An institutional data set of patients with mucosal HNC who were treated with radiotherapy was used in this model. 8 Patients' demographics, tumor and treatment characteristics, frequency of surveillance imaging and modality, and disease recurrence details were provided.…”
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 partially observed Markov decision process model was formulated to determine the optimal times to scan patients. Transition probabilities were computed using a data set of 1508 patients with HNC who received definitive radiotherapy between the years 2000 and 2010. Kernel density estimation was used to smooth the sample distributions. The reward function was derived using cost estimates from the literature. Additional model parameters were estimated using either data from the literature or clinical expertise. RESULTS: When considering all forms of relapse, the model showed that the optimal time between scans was longer than the time intervals used in the institutional guidelines. The optimal policy dictates that there should be less time between surveillance scans immediately after treatment compared with years after treatment. Comparable results also held when only locoregional relapses were considered as relapse events in the model. Simulation results for the inclusive relapse cases showed that <15% of patients experienced a relapse over a simulated 36-month surveillance program. CONCLUSIONS: 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. Cancer 2020;126:749-756.
ImportanceThe role of surveillance imaging after treatment for head and neck cancer is controversial and evidence to support decision-making is limited.ObjectiveTo determine the use of surveillance imaging in asymptomatic patients with head and neck cancer in remission after completion of chemoradiation.Design, Setting, and ParticipantsThis was a retrospective, comparative effectiveness research review of adult patients who had achieved a complete metabolic response to initial treatment for head and neck cancer as defined by having an unequivocally negative positron emission tomography (PET) scan using the PET response criteria in solid tumors (PERCIST) scale within the first 6 months of completing therapy. The medical records of 501 consecutive patients who completed definitive radiation therapy (with or without chemotherapy) for newly diagnosed squamous cell carcinoma of the head and neck between January 2014 and June 2022 were reviewed.ExposureSurveillance imaging was defined as the acquisition of a PET with computed tomography (CT), magnetic resonance imaging (MRI), or CT of the head and neck region in the absence of any clinically suspicious symptoms and/or examination findings. For remaining patients, subsequent surveillance after the achievement of a complete metabolic response to initial therapy was performed on an observational basis in the setting of routine follow-up using history-taking and physical examination, including endoscopy. This expectant approach led to imaging only in the presence of clinically suspicious symptoms and/or physical examination findings.Main Outcome and MeasuresLocal-regional control, overall survival, and progression-free survival based on assignment to either the surveillance imaging or expectant management cohort.ResultsThis study included 340 patients (mean [SD] age, 59 [10] years; 201 males [59%]; 88 Latino patients [26%]; 145 White patients [43%]) who achieved a complete metabolic response during this period. There was no difference in 3-year local-regional control, overall survival, progression-free survival, or freedom from distant metastasis between patients treated with surveillance imaging vs those treated expectantly.Conclusions and RelevanceIn this comparative effectiveness research, imaging-based surveillance failed to improve outcomes compared with expectant management for patients who were seemingly in remission after completion of primary radiation therapy for head and neck cancer.
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