Xerostomia in patients treated for oropharyngeal carcinoma: comparing linear accelerator-based intensity-modulated radiation therapy with helical tomotherapy

Oral burning: local and systemic connection for a patient-centric approach

Burning symptoms in the oral cavity are caused by a range of systemic and local factors, in addition to the neuropathic pain disorder burning mouth syndrome (BMS). Patients may state oral burning as a standalone symptom or may report as a secondary symptom in association with other factors, most commonly with oral dryness, oral mucosal lesions, or certain systemic conditions. There is a level of uncertainty in the presentation of this condition which creates a diagnostic challenge from both the patient's perspective and the practitioner evaluating these individuals. The diagnoses are complicated due to the lack of a clear definition of BMS and clinical guidelines to distinguish BMS from other conditions that are responsible for oral burning symptoms. A clinician should be able to differentiate oral burning from burning mouth syndrome. This integrative review discusses on local and systemic etiologies of oral burning based on current evidence that needs to be excluded for a diagnosis of BMS. It also provides an algorithm for diagnostic workup and therapeutic management to medical providers for patients experiencing oral burning symptoms. This comprehensive system provides a systematic stepwise workup in diagnosing and managing patients presenting with a complaint of oral burning that optimally meets a predictive, preventive, and personalized medicine (PPPM) approach.

Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of Xerostomia after intensity-modulated radiotherapy for head and neck cancer

Purpose

The aim of this study was to develop a multivariate logistic regression model with least absolute shrinkage and selection operator (LASSO) to make valid predictions about the incidence of moderate-to-severe patient-rated xerostomia among head and neck cancer (HNC) patients treated with IMRT.

Methods and Materials

Quality of life questionnaire datasets from 206 patients with HNC were analyzed. The European Organization for Research and Treatment of Cancer QLQ-H&N35 and QLQ-C30 questionnaires were used as the endpoint evaluation. The primary endpoint (grade 3⁺ xerostomia) was defined as moderate-to-severe xerostomia at 3 (XER_3m) and 12 months (XER_12m) after the completion of IMRT. Normal tissue complication probability (NTCP) models were developed. The optimal and suboptimal numbers of prognostic factors for a multivariate logistic regression model were determined using the LASSO with bootstrapping technique. Statistical analysis was performed using the scaled Brier score, Nagelkerke R², chi-squared test, Omnibus, Hosmer-Lemeshow test, and the AUC.

Results

Eight prognostic factors were selected by LASSO for the 3-month time point: Dmean-c, Dmean-i, age, financial status, T stage, AJCC stage, smoking, and education. Nine prognostic factors were selected for the 12-month time point: Dmean-i, education, Dmean-c, smoking, T stage, baseline xerostomia, alcohol abuse, family history, and node classification. In the selection of the suboptimal number of prognostic factors by LASSO, three suboptimal prognostic factors were fine-tuned by Hosmer-Lemeshow test and AUC, i.e., Dmean-c, Dmean-i, and age for the 3-month time point. Five suboptimal prognostic factors were also selected for the 12-month time point, i.e., Dmean-i, education, Dmean-c, smoking, and T stage. The overall performance for both time points of the NTCP model in terms of scaled Brier score, Omnibus, and Nagelkerke R² was satisfactory and corresponded well with the expected values.

Conclusions

Multivariate NTCP models with LASSO can be used to predict patient-rated xerostomia after IMRT.