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To explore the clinical utility of the systemic inflammation response index (SIRI) in the prediction of patients with poor treatment response to concurrent chemoradiotherapy (CCRT) in locally advanced nasopharyngeal cancer (NPC). A total of 167 stage III-IVB (AJCC 7th edition) nasopharyngeal cancer patients who received CCRT were retrospectively collected. The SIRI was calculated using the following formula: SIRI = neutrophil count × monocyte count/lymphocyte count (109/L). The optimal cutoff values of the SIRI for noncomplete response were determined by receiver operating characteristic curve analysis. Logistic regression analyses were performed to identify factors predictive of treatment response. We used Cox proportional hazards models to identify predictors of survival. Multivariate logistic regression showed that only the posttreatment SIRI was independently associated with treatment response in locally advanced NPC. A posttreatment SIRI≥1.15 was a risk factor for developing an incomplete response after CCRT (odds ratio 3.10, 95% confidence interval (CI): 1.22–9.08, p = 0.025). A posttreatment SIRI≥1.15 was also an independent negative predictor of progression-free survival (hazard ratio 2.38, 95% CI: 1.35–4.20, p = 0.003) and overall survival (hazard ratio 2.13, 95% CI: 1.15–3.96, p = 0.017). The posttreatment SIRI could be used to predict the treatment response and prognosis of locally advanced NPC. [ABSTRACT FROM AUTHOR]

Background: To analyze clinical characteristics in the prediction of death within 1 year in advanced oropharyngeal cancer patients treated with chemoradiation. Methods: One hundred forty-seven advanced oropharyngeal cancer patients who underwent curative-intent chemoradiation treatment were retrospectively enrolled. The pre-treatment clinical parameters including inflammatory markers were reviewed. Results: The 1-year death rate for all patients was 29% [95% confidence interval (CI): 23–37%]. In multivariate logistic regression analysis, hemoglobulin (Hb) < 13.5 g/dl was an independent indicator of death within 1-year [Odds ratio (OR) 5.85, 95% CI 2.17–15.75, p < 0.001]. Systemic immune inflammation (SII) ≥ 1820 was also a significant factor for prediction of death within 1 year (OR 4.78, 95% CI 1.44–15.85, p = 0.011). We further used gander, age, Hb and SII to develop a nomogram to predict death within 1 year. The c-index of the model was 0.75 (95%CI 0.66–0.83). For patients with low nomogram score (< 14) versus high nomogram score (≥ 14), the 1-year and 2-year OS rates were 91 and 71% versus 53 and 29%, respectively. (p < 0.001). A difference in the disease persistence or recurrence rate between patients with high and low nomogram score was significant (73 and 28%, respectively; p < 0.001). Conclusions: The pre-treatment Hb < 13.5 g/dl and SII ≥ 1820 are associated with higher risks of death within 1-year in patients with advanced oropharyngeal cancers. Nomogram can aid in patient counseling and treatment modality adjustment. The development of a more effective treatment protocol for patients with high nomogram score will be essential. [ABSTRACT FROM AUTHOR]

Background: The study aims are to evaluate the associations between nasopharyngeal carcinoma (NPC) risk and cigarette smoking and to explore the effects of cigarette smoking on Epstein‐Barr virus (EBV) infection for NPC risk. Methods: 1235 male NPC cases and 1262 hospital‐based male controls matched to cases were recruited across six collaborative hospitals between 2010 and 2014. Using a standardized questionnaire, information on cigarette smoking and other potential risk factors for NPC was obtained. Blood was collected and used for anti‐EBV VCA IgA and anti‐EBV EA‐EBNA1 IgA testing using standard methods. Unconditional logistic regression analysis was used to estimate odds ratio (OR) with 95% confidence interval (CI) for each risk factor after adjusting for confounders. Results: 63.6% of cases and 44.0% of controls reported ever smoking cigarettes. After full adjustment, current smokers had a significant 1.60‐fold (95% CI = 1.30‐1.97) and former smokers a borderline significant 1.27‐fold (95% CI = 1.00‐1.60) increased NPC risk compared to never smokers. NPC risk increased with increasing duration, intensity, and pack‐years of cigarette smoking but not with age at smoking initiation. Among controls, anti‐EBV VCA IgA seropositivity rate was higher in current smokers than never smokers (14.0% vs 8.4%; OR = 1.82; 95% CI = 1.19‐2.79). Mediation analyses showed that more than 90% of the cigarette smoking effect on NPC risk is mediated through anti‐EBV VCA IgA. Conclusion: This study confirms the association between long‐term cigarette smoking and NPC and demonstrates that current smoking is associated with seropositivity of anti‐EBV VCA IgA antibodies. [ABSTRACT FROM AUTHOR]

Rationale and objectives: To assess the performance of shear wave elastography (SWE) and an extended model in predicting malignant cervical lymph nodes (LNs). Materials and methods: 109 patients who underwent ultrasound (US) and SWE before needle biopsy were enrolled. The optimal cutoff value of elasticity indices (EIs) was determined by receiver operating characteristic (ROC) curves. The c-statistic, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare extended model and traditional one. Results: Malignant LNs had higher EIs than benign nodes (p < 0.001). The optimal cutoff point was 42 kilopascal, corresponding to 83.3% sensitivity, 64.7% specificity, and 68.8% overall accuracy. A multivariable logistic regression analysis confirmed that EI was an independent predictor for malignancy. The new extended prediction model had a positive NRI (0.96) and IDI (0.10) for predicting malignant neck LNs. Nevertheless, the c-statistic was not significantly different between the two models. Conclusion: The parameter of SWE theoretically improve the model performance. However, its real clinical impact is minor, as the parameters of US-based model is already very robust. SWE can be considered as an adjunctive quantitative tool beyond conventional US examination. [ABSTRACT FROM AUTHOR]

Objective: The carotid intimal-medial thickness (CIMT) is a strong predictor of future cardiovascular events. We assessed the mean CIMT and evaluated associated factors in head and neck cancer (HNC) patients.Materials and methods: Between January 2016 and March 2018, 70 volunteers underwent automatic ultrasound measurement of the common carotid artery CIMT. A mean CIMT ≥ 1.0 mm was regarded as an elevated risk for cardiovascular disease (CVD). We aimed to investigate the risk factors for an increased mean CIMT.Results: We recruited 20 HNC survivors and 50 noncancer control individuals. Multiple linear regression analysis showed that old age (β = 0.006, 95% confidence interval, CI 0.004-0.008), increased weight (β = 0.003, 95% CI 0.001-0.005), hypertension (β = 0.10, 95% CI 0.03-0.17), and prior irradiation (β = 0.13, 95% CI 0.08-0.19) were positively correlated with the mean CIMT. From logistic regression analysis, it was shown that patients who underwent radiotherapy (OR 13.5, 95% CI 1.48-122.8) and who had higher bodyweight (OR 1.09, 95% CI 1.01-1.18) had a significantly higher risk of developing CVD.Conclusion: Measurement of the mean CIMT using ultrasound could be useful for assessing CVD risk in HNC survivors after neck irradiation. [ABSTRACT FROM AUTHOR]

Objectives: To determine the efficacy of real-time elastography (RTE), compared with our previously proposed prediction model, in the detection of malignancy in cervical lymph nodes (LNs). Methods: One hundred and thirty-one patients underwent ultrasound-guided fine needle aspiration biopsy (ultrasound FNAB) after ultrasound and RTE evaluation. The formula of the RTE scoring system was a four-point visual scale, based on a previously determined model. The formula of the prediction model was: $$ 0.06\times \left( {\mathrm{age}} \right)+4.76\times \left( {{{{\mathrm{short}-\mathrm{axis}}} \left/ {{\mathrm{long}-\mathrm{axis}\;\mathrm{ratio}}} \right.}} \right)+2.15\times \left( {\mathrm{internal}\;\mathrm{echo}} \right)+1.80\times \left( {\mathrm{vascular}\;\mathrm{pattern}} \right) $$. An extended model was constructed with four previous predictors and elasticity scores, using a logistic regression model. Results: Final histology revealed 77 benign and 54 malignant LNs. In the elasticity score system, sensitivity was 66.7 %, specificity was 57.1 %, the positive predictive value (PPV) was 52.2 % and the negative predictive value (NPV) was 71.0 %. In the prediction model system, sensitivity was 79.6 %, specificity was 92.2 %, the PPV was 87.8 % and the NPV was 86.6 %. When the extended and the original model were compared, the areas under the receiver operating characteristic curve (c-statistic) was 0.94 and 0.95, respectively ( P > 0.05). Conclusions: Qualitative RTE offers no additional value over conventional ultrasound in predicting malignancy in cervical LNs. Key Points: • An ultrasound system can help in the assessment of cervical lymph nodes. • Grey-scale and power Doppler ultrasound remain fundamental for neck nodal evaluation. • Qualitative real-time elastography provided no additional value compared with current prediction models. [ABSTRACT FROM AUTHOR]