Diagnostic Performance of Response Assessment FDG-PET/CECT in HNSCC Treated With Definitive Radio(chemo)therapy Using NI-RADS.

OBJECTIVE: To assess the diagnostic performance of response assessment 18F-fluorodeoxyglucose positron emission tomography/contrast-enhanced computed tomography (FDG-PET/CECT) following definitive radio(chemo)therapy in head and neck squamous cell carcinoma (HNSCC) using Neck Imaging Reporting and Data System (NI-RADS). STUDY DESIGN: A retrospective analysis from a prospectively maintained dataset. SETTING: Tertiary-care comprehensive cancer center in a low-middle-income country. METHODS: Adults with newly diagnosed, biopsy-proven, nonmetastatic HNSCC treated with definitive radio(chemo)therapy were included. Posttreatment response assessment FDG-PET/CECT scans were retrospectively assigned NI-RADS categories (1-3) for the primary site, neck, and both sites combined. Locoregional recurrence occurring within 2-years was defined as the event of interest. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy were calculated. Locoregional control stratified by NI-RADS categories was computed with the Kaplan-Meier method and compared using the log-rank test. RESULTS: Posttreatment FDG-PET/CECT scans were available in 190 patients constituting the present study cohort. Sensitivity, specificity, PPV, NPV, and overall accuracy of the NI-RADS template for the primary site was 73.5%, 81.4%, 46.3%, 93.4%, and 80.0%, respectively. Similar metrics for the neck were 72.7%, 87.5%, 43.2%, 96.1%, and 85.8%, respectively. Combining primary site and neck, the corresponding metrics of diagnostic accuracy were 84.4%, 69.7%, 46.3%, 93.5%, and 73.2%, respectively. At a median follow-up of 40 months, Kaplan-Meier estimates of 2-year locoregional control were significantly higher for NI-RADS category 1 (94.2%) compared to NI-RADS category 2 (69.4%) and category 3 (20.4%), respectively (stratified log-rank p < .0001). CONCLUSION: FDG-PET/CECT using the NI-RADS template is associated with good diagnostic performance and prognostic utility in HNSCC treated with definitive radio(chemo)therapy.

Distress Screening in Head and Neck Cancer Patients Planned for Cancer-Directed Radiotherapy.

OBJECTIVE/HYPOTHESIS: To estimate the prevalence of baseline clinically significant distress (distress score ≥ 4) in head and neck cancer patients planned and treated with radical intent radiotherapy using the National Comprehensive Cancer Network Distress Thermometer (DT) and assess factors predictive of distress. STUDY DESIGN: Cross-sectional study. METHODS: This was a cross-sectional study evaluating distress in 600 head and neck cancer patients undergoing radiation therapy. The DT was used to screen patients for distress at baseline before radiotherapy. RESULTS: The median distress score of the entire cohort was 4 interquartile range (IQR) (IQR: 3-5), and 340 patients (56.7%) had clinically significant distress. On univariate analysis, the causal factors predictive of distress were low socioeconomic status (P = .04), presence of proliferative growth at presentation (P = .008), site of the tumor (oral cavity, P = .02), comorbidity (P = .04), and presence of Ryle's tube or tracheostomy tube at baseline (P = .01). Low socioeconomic status was significant (P = .04) on multivariate analysis for high levels of distress. CONCLUSIONS: Among head and neck cancer patients, 56% of patients had clinically significant baseline distress, and patients with low socioeconomic status had high distress. There is a need for interventions to mitigate distress. LEVEL OF EVIDENCE: 4 Laryngoscope, 131:2023-2029, 2021.

Impact of comorbidity on therapeutic decision-making in head and neck cancer: audit from a comprehensive cancer center in India.

BACKGROUND: Head and neck cancer has increased incidence of comorbidity due to tobacco and alcohol use. METHODS: Two hundred consecutive patients were included in this cross-sectional study. Data on clinico-demographic characteristics and comorbidity was extracted from case records. Comorbidity was assessed with Adult Comorbidity Evaluation 27 (ACE-27) and Charlson Comorbidity Index (CCI). Change in therapeutic decision-making from institutional evidence-based guidelines was classified as low, medium, or high-impact. RESULTS: Of 200 patients, 68(34%) had comorbidity while 15 had multimorbidity. No change in therapeutic decision-making was seen in 139 patients (69.5%), 61patients (30.5%) had change from institutional evidence-based guidelines. There was strong positive correlation (Spearman's correlation coefficient = 0.80; p < .001) between ACE-27 and change in therapeutic decision-making. For CCI, there was moderate positive correlation (Spearman's correlation coefficient = 0.50; p < .001). CONCLUSION: Comorbidity in patients with head and neck cancer can influence therapeutic decision-making. Prospective longitudinal rigorous collection of comorbidity data is warranted for correlation with outcomes. ACE-27 may be a clinically more meaningful tool for comorbidity assessment.