The psychosocial needs of head and neck cancer patients: a multicenter study.

INTRODUCTION: Cancer is among the most frequent pathologies and a major cause of death and disability. Scientific research and surgeons focus mainly on aspects relating to etiopathogenesis, diagnosis, and treatment, but often neglect the psychological needs of patients and related social factors. The aim of this study is to investigate the psychological and social needs of patients affected by head and neck cancer to improve patient management and achieve more empathetic care. MATERIALS AND METHODS: The Need Evaluation Questionnaire (NEQ) was administered to adult patients who had to undergo surgery in 4 Italian tertiary head and neck cancer centers the day before the operation. RESULTS: 188 patients affected by stage I-IV head and neck tumors were enrolled. The main needs expressed by patients fall under the categories of either "information and dialogue", (64.3% more information about future conditions, 50% more information about treatments, 45% more information about the diagnosis, 44% more reassurance) or "spiritual support" (50% need to talk to someone who had the same experience as them). CONCLUSIONS: Common methods of explaining diagnosis, treatment, and prognosis have proven unsatisfactory to patients and most also require more psychosocial support. This highlights the need to implement interventions and activities that are increasingly geared toward supporting the psychological and relational aspects of the care journey.

Trans-Oral Robotic Surgery: 14 Cases of Pleomorphic Adenoma of the Parapharyngeal Space.

PURPOSE: The aim of this study has been to describe our experience with pleomorphic adenomas of the parapharyngeal space (PPS) treated with trans-oral robotic surgery (TORS). Tumors arising from the PPS comprise less than 0.5% of all head and neck tumors. Salivary gland tumors account for 40% to 50% of PPS lesions with pleomorphic adenomas representing the most common salivary tumors (80%-90%). Parapharyngeal space tumors cause nonspecific symptoms and may be difficult to diagnose. METHODS: In our study a preoperative diagnosis was conducted by fine needle aspiration biopsy and magnetic resonance imaging and the results were used to plan the correct surgical approach. RESULTS: In all cases we were able to employ TORS, a minimally invasive procedure that allows us to operate in narrow and anatomically complex spaces that we can only reach thanks to the use of well-articulated hand pieces. CONCLUSIONS: This report indicates that TORS is a safe surgical procedure for the excision of benign tumors of the PPS in selected cases.

Predictive value of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and systemic inflammatory index for detection of recurrence of pleomorphic adenoma of the major salivary glands: a multicenter study.

OBJECTIVE: The aim of this study was to investigate the correlation among inflammatory biomarkers, such as the systemic immune-inflammation index (SII), the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR), and the recurrence of pleomorphic adenomas (PAs). STUDY DESIGN: This was a retrospective multicenter study. Six hundred eight patients diagnosed with PA and treated by tumor enucleation were included in the analyses. The patients were extracted from a 20-year database of 2 referral centers (January 2000 to January 2020). Data about age, gender, voluntary habits, tumor characteristics, tumor treatment, and values of NLR, PLR, and SII were collected. A receiver operating characteristic (ROC) curve was used to calculate the optimal cutoff values for SII, PLR, and NLR. A linear regression model (LRM) and a nonlinear logistic regression model (NLRM) were implemented for NLR, PLR, and SII. RESULTS: All 3 inflammatory parameters were statistically significant correlated to the recurrence of the tumor. The best performance was achieved by NLR (cutoff of 2.960) with area under the ROC curve (AUC) = 0.91, accuracy of 96.1%, sensitivity of 78.4% and specificity of 97.2%, PPV = 64.4%, and NPV = 98.6%. LRM and NLRM including all hematological parameters did not improve performance in terms of recurrence detection. CONCLUSIONS: The use of 3 inflammatory biomarkers could be a useful tool to predict recurrence of tumor in case of PA ≤ 3 cm. NLR in particular could be sensitive with a cutoff of 2.960. The use of NLR, PLR, and SII could be a good reference point for surgical decision making and follow-up in clinical practice. (Oral Surg Oral Med Oral Pathol Oral Radiol YEAR;VOL:page range).

Support Tools in the Differential Diagnosis of Salivary Gland Tumors through Inflammatory Biomarkers and Radiomics Metrics: A Preliminary Study.

BACKGROUND: The purpose of this study was to investigate how the systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR), and radiomic metrics (quantitative descriptors of image content) extracted from MRI sequences by machine learning increase the efficacy of proper presurgical differentiation between benign and malignant salivary gland tumors. METHODS: A retrospective study of 117 patients with salivary gland tumors was conducted between January 2015 and November 2022. Univariate analyses with nonparametric tests and multivariate analyses with machine learning approaches were used. RESULTS: Inflammatory biomarkers showed statistically significant differences (p < 0.05) in the Kruskal-Wallis test based on median values in discriminating Warthin tumors from pleomorphic adenoma and malignancies. The accuracy of NLR, PLR, SII, and SIRI was 0.88, 0.74, 0.76, and 0.83, respectively. Analysis of radiomic metrics to discriminate Warthin tumors from pleomorphic adenoma and malignancies showed statistically significant differences (p < 0.05) in nine radiomic features. The best multivariate analysis result was obtained from an SVM model with 86% accuracy, 68% sensitivity, and 91% specificity for six features. CONCLUSIONS: Inflammatory biomarkers and radiomic features can comparably support a pre-surgical differential diagnosis.

Diagnostic performance of inflammatory biomarkers and cytological analysis in salivary gland tumors.

BACKGROUND: This study aimed to evaluate the diagnostic performance of serum inflammatory biomarkers in salivary gland tumors with dubious results following cytological analysis. METHODS: A retrospective analysis of 239 cases following surgery between January 2011 and June 2022 was performed. Receiver Operating Characteristic curves were drawn and areas under the curves were computed to evaluate the diagnostic performance of the inflammatory biomarkers (SII, SIRI, PLR, and NLR). Optimal cut-offs for each marker were determined by maximizing the Youden index. RESULTS: Analysis showed that among the major biomarkers examined, SIRI performed an AUC of 0.77. The best SIRI cut-off was 0.94 with an accuracy of 79.9%. The accuracy, sensitivity, and specificity of cytological analysis were 77.8%, 59.6%, and 90.7% respectively. By combining SIRI with cytological analysis we demonstrated an increase in sensitivity to 82.8%. CONCLUSIONS: Inflammatory biomarkers could be evaluated to support the diagnosis and treatment of salivary gland tumors in difficult cases.