Association of Body Mass Index With Outcomes Among Patients With Head and Neck Cancer Treated With Chemoradiotherapy.

Importance: Combined modality therapy, such as chemoradiotherapy, often results in significant morbidity among patients with head and neck cancer. Although the role of body mass index (BMI) varies based on cancer subtypes, its association with treatment response, tumor recurrence, and survival outcomes among patients with head and neck cancer remains unclear. Objective: To evaluate the role of BMI in treatment response, tumor recurrence, and survival outcomes among patients with head and neck cancer undergoing chemoradiotherapy. Design, Setting, and Participants: This retrospective, observational, single-institution cohort study conducted at a comprehensive cancer center included 445 patients with nonmetastatic head and neck cancer who underwent chemoradiotherapy from January 1, 2005, to January 31, 2021. Exposure: Normal vs overweight or obese BMI. Main Outcomes and Measures: Metabolic response after chemoradiotherapy, locoregional failure (LRF), distant failure (DF), overall survival (OS), and progression-free survival (PFS), with Bonferroni correction used to adjust for multiple comparisons and P < .025 being considered statistically significant. Results: A total of 445 patients (373 men [83.8%]; median age, 61 years [IQR, 55-66 years]; 107 [24.0%] with normal BMI, 179 [40.2%] with overweight BMI, and 159 [35.7%] with obese BMI) were included for analysis. Median follow-up was 48.1 months (IQR, 24.7-74.9 months). On Cox proportional hazards regression multivariable analysis, only overweight BMI was associated with improved OS (5-year OS, 71.5% vs 58.4%; adjusted hazard ratio [AHR], 0.59 [95% CI, 0.39-0.91]; P = .02) and PFS (5-year PFS, 68.3% vs 50.8%; AHR, 0.51 [95% CI, 0.34-0.75]; P < .001). On logistic multivariable analysis, overweight BMI (91.6% vs 73.8%; adjusted odds ratio [AOR], 0.86 [95% CI, 0.80-0.93]; P < .001) and obese BMI (90.6% vs 73.8%; AOR, 0.89 [95% CI, 0.81-0.96]; P = .005) were associated with complete metabolic response on follow-up positron emission tomography-computed tomography after treatments. On Fine-Gray multivariable analysis, overweight BMI was associated with reduction in LRF (5-year LRF, 7.0% vs 25.9%; AHR, 0.30 [95% CI, 0.12-0.71]; P = .01), but not DF (5-year DF, 17.4% vs 21.5%; AHR, 0.92 [95% CI, 0.47-1.77]; P = .79). Obese BMI was not associated with LRF (5-year LRF, 10.4% vs 25.9%; AHR, 0.63 [95% CI, 0.29-1.37]; P = .24) or DF (5-year DF, 15.0% vs 21.5%; AHR, 0.70 [95% CI, 0.35-1.38]; P = .30). Conclusion: In this cohort study of patients with head and neck cancer, when compared with normal BMI, overweight BMI was an independent factor favorably associated with complete response after treatments, OS, PFS, and LRF. Further investigations are warranted to improve understanding on the role of BMI among patients with head and neck cancer.

Association of Pack-Years of Cigarette Smoking With Survival and Tumor Progression Among Patients Treated With Chemoradiation for Head and Neck Cancer.

Importance: After 10 pack-years of smoking was initially established as a threshold for risk stratification, subsequent clinical trials incorporated it to identify candidates for treatment deintensification. However, several recent studies were unable to validate this threshold externally, and the threshold for smoking exposure remains unclear. Objective: To estimate the threshold of pack-years of smoking associated with survival and tumor recurrence among patients with head and neck cancer. Design, Setting, and Participants: This single-institution, cohort study included patients with nonmetastatic head and neck cancer receiving chemoradiation from January 2005 to April 2021. Data were analyzed from January to April 2022. Exposures: Heavy vs light smoking using 22 pack-years as a threshold based on maximizing log-rank test statistic. Main Outcomes and Measures: Overall survival (OS), progression-free survival (PFS), locoregional failure (LRF), and distant failure (DF). Results: A total of 518 patients (427 male [82.4%]; median [IQR] age, 61 [55-66] years) were included. Median (IQR) follow-up was 44.1 (22.3-72.8) months. A nonlinear Cox regression model using restricted cubic splines showed continuous worsening of OS and PFS outcomes as pack-years of smoking increased. The threshold of pack-years to estimate OS and PFS was 22. Cox multivariable analysis (MVA) showed that more than 22 pack-years was associated with worse OS (adjusted hazard ratio [aHR] 1.57; 95% CI, 1.11-2.22; P = .01) and PFS (aHR, 1.38; 95% CI, 1.00-1.89; P = .048). On Fine-Gray MVA, heavy smokers were associated with DF (aHR, 1.71; 95% CI, 1.02-2.88; P = .04), but not LRF (aHR, 1.07; 95% CI, 0.61-1.87; P = .82). When 10 pack-years of smoking were used as a threshold, there was no association for OS (aHR, 1.23; 95% CI, 0.83-1.81; P = .30), PFS (aHR, 1.11; 95% CI, 0.78-1.57; P = .56), LRF (aHR, 1.19; 95% CI, 0.64-2.21; P = .58), and DF (aHR, 1.45; 95% CI, 0.82-2.56; P = .20). Current smoking was associated with worse OS and PFS only among human papillomavirus (HPV)-positive tumors (OS: aHR, 2.81; 95% CI, 1.26-6.29; P = .01; PFS: aHR, 2.51; 95% CI, 1.22-5.14; P = .01). Conclusions and Relevance: In this cohort study of patients treated with definitive chemoradiation, 22 pack-years of smoking was associated with survival and distant metastasis outcomes. Current smoking status was associated with adverse outcomes only among patients with HPV-associated head and neck cancer.

Defining the optimal threshold and prognostic utility of pre-treatment hemoglobin level as a biomarker for survival outcomes in head and neck cancer patients receiving chemoradiation.

OBJECTIVES: We sought to define the optimal threshold for anemia in North American head and neck cancer patients and evaluate its role as a prognostic biomarker. MATERIALS AND METHODS: A single-institution database was queried for patients with head and neck cancer who underwent chemoradiation from January 2005 to April 2021. An optimal threshold of hemoglobin (Hgb) level was defined based on maximum log-rank test statistic. Cox multivariable analysis (MVA), Kaplan-Meier, and propensity score matching were performed to evaluate treatment outcomes. RESULTS: A total of 496 patients were identified. Threshold for Hgb was determined to be 11.4 for both overall survival (OS) and progression-free survival (PFS). Low Hgb was associated with worse OS (adjusted hazards ratio [aHR] 2.41, 95 % confidence interval [CI] 1.53-3.80, p < 0.001) and PFS (aHR 2.01, 95 % CI 1.30-3.11, p = 0.002). Similar findings were observed among 39 matched pairs for OS (5-year OS 22.3 % vs 49.0 %; HR 2.22, 95 % CI 1.23-4.03, p = 0.008) and PFS (5-year PFS 24.3 % vs 39.1 %; HR 1.78, 95 % CI 1.02-3.12, p = 0.04). Among those with HPV-negative tumors, low Hgb was associated with worse OS (aHR 13.90, 95 % CI 4.66-41.44, p < 0.001) and PFS (aHR 5.24, 95 % CI 2.09-13.18, p < 0.001). However, among those with HPV-positive tumors, low Hgb was not associated with both OS (aHR 1.75, 95 % CI 0.60-5.09, p = 0.31) and PFS (aHR 1.13, 95 % CI 0.41-3.14, p = 0.82). CONCLUSION AND RELEVANCE: Low Hgb below 11.4 was an independent adverse prognostic factor for worse survival. It was also prognostic among patients with HPV-negative tumors, but not for HPV-positive tumors.

Evaluation of Optimal Threshold of Neutrophil-Lymphocyte Ratio and Its Association With Survival Outcomes Among Patients With Head and Neck Cancer.

Importance: Given the role of inflammation in cancer progression, neutrophil-lymphocyte ratio (NLR) from peripheral blood has been suggested as a readout of systemic inflammation and a prognostic marker in several solid malignant neoplasms. However, optimal threshold for NLR in US patients with head and neck cancer remains unclear. Objective: To evaluate the optimal NLR threshold as a potential prognostic biomarker for survival outcomes. Design, Setting, and Participants: This retrospective cohort study was conducted at a single institution. Participants included 496 patients with nonmetastatic head and neck cancer who underwent chemoradiation from April 2007 to March 2021. Statistical analysis was performed from September to December 2021. Exposures: High vs low NLR. Main Outcomes and Measures: Overall survival (OS) and cancer-specific survival (CSS). Results: A total of 496 patients (411 male patients [82.9%]; 432 White patients [87.1%]; 64 patients with other race or ethnicity [12.9%]; median [IQR] age, 61 [55-67] years) were identified. Median (IQR) follow-up was 44.4 (22.8-74.0) months. Thresholds of NLR for both OS and CSS were 5.71. High NLR above 5.71 was associated with worse OS (adjusted hazard ratio [aHR], 1.97; 95% CI, 1.26-3.09; P = .003) and CSS (aHR, 2.33; 95% CI, 1.38-3.95; P = .002). On logistic multivariable analysis, patients were more likely to have high NLR if they had higher T and N staging (T3-4: aOR, 4.07; 95% CI, 1.92-9.16; P < .001; N2: aOR, 2.97; 95% CI, 1.04-9.17; P = .049; N3: aOR, 11.21; 95% CI, 2.84-46.97; P < .001), but less likely if they had a good performance status (Karnofsky Performance Status 90-100: aOR, 0.29; 95% CI, 0.14-0.59; P < .001). Among 331 patients (66.7%) with available human papillomavirus (HPV) data, high NLR was not associated with OS (HPV-negative: aHR, 2.46; 95% CI, 0.96-6.31; P = .06; HPV-positive: aHR, 1.17; 95% CI, 0.38-3.56; P = .78) and CSS (HPV-negative: aHR, 2.55; 95% CI, 0.81-7.99; P = .11; HPV-positive: aHR, 1.45; 95% CI, 0.44-4.76; P = .54). Conclusions and Relevance: High NLR was associated with worse survival. Patients with substantial disease burden and poor performance status were more likely to have high NLR. These findings suggest that further studies would be warranted to investigate the role of such prognostic marker to identify patients at risk to tailor interventions.

Preventing Physician Burnout in Breast Imaging: Scope of the Problem and Keys to Success.

Physicians, including radiologists and specifically breast imagers, face many challenges, and stressors during their daily routine, many of which can contribute to burnout. While there is an increasing body of literature evaluating burnout, including its prevalence in and impact on radiologists, there is a relative lack of information specifically addressing this topic as it relates to breast imaging. This article reviews key concepts in burnout, describes the potential impact on physicians at all levels of training and work, highlights unique aspects to the specialty of breast imaging that may contribute to burnout, and suggests tool and/or strategies that may help to combat and prevent burnout among breast imagers.