To evaluate the applicability of photobiomodulation therapy (PBM-T) in the management of xerostomia and OM. Fifty-three patients with head and neck squamous cell carcinoma were randomized into two groups: Sham and PBM-T. The Sham group received artificial saliva and laser simulation, while the PBM-T group received artificial saliva and PBM-T. Xerostomia-related quality of life (QoL), the presence or absence of OM lesions, the decayed-missing-filled teeth (DMFT) index, and periodontal charts were evaluated. The results of the QoL questionnaire, DMFT index, and periodontal chart were analyzed with the Kruskal-Wallis test, followed by the Student-Newman-Keuls test, while OM findings were compared using the Mann-Whitney test. QoL scores significantly increased in the Sham group (p < 0.0001), denoting more severe xerostomia symptoms (p = 0.0074), and decreased in the PBM-T group, indicating no or very mild xerostomia. Higher grades of OM were found in the Sham group than the PBM-T group (p = 0.0001). There was no significant difference in DMFT index or periodontal charts between the groups (p > 0.05). PBM-T improved QoL in patients with head and neck cancer treated with radiotherapy, whether as radiation alone or as an adjunct to chemotherapy and surgery.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s10103-023-03760-y | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The effectiveness of unimodality organ preservation surgical vs organ preservation radiotherapy for early hypopharyngeal cancer: a systematic review protocol.
JBI Evid Synth
January 2025
JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Objective: Our aim is to determine the comparative effectiveness of unimodality organ preservation surgery versus radiotherapy on oncological and functional outcomes in patients with early hypopharyngeal cancer.
Introduction: Early hypopharyngeal cancer is difficult to detect and therefore rarely diagnosed, as patients are often asymptomatic. Radiotherapy is considered the main treatment, although this modality has been compared to the previously used open surgical approach, which may not reflect current surgical options.
Objective: This study aims to compare the effectiveness of 2 artificial saliva substitutes (Biotène vs HydraSmile) in the symptomatic management of radiation-induced xerostomia.
Study Design: Randomized double-blind cross-over study.
Setting: Single tertiary care academic institution.
Xerostomia: a silent burden for people receiving palliative care - a qualitative descriptive study.
BMC Palliat Care
January 2025
Kerry Specialist Palliative Care Service, University Hospital Kerry, Tralee, Co. Kerry, Ireland.
Background: The prevalence of dry mouth in the palliative care population is well documented and increases due to polypharmacy, radiotherapy and systemic conditions. Saliva as a lubricant for the mouth and throat has implications for swallowing, chewing, and speech. The literature about the experience of xerostomia (perceived feeling of dry mouth) in palliative care is scarce.
View Article and Find Full Text PDFIntroduction: Patients with end-stage renal disease usually undergo hemodialysis as a way of renal function replacement therapy which comes with a wide array of systemic and cutaneous complications. The aim of this study was to evaluate the most frequent dermatological manifestations including xerosis, pruritis and other nail, hair and oral conditions, as these are a very important aspect to be considered while managing the patients psychological and physical needs to improve their outcomes and quality of life.
Methods: This retrospective cross-sectional study was performed by selecting 77 patients on hemodialysis based on a certain criteria and data was then collected on a sheet using patients database on Hakeem National E-Health Program, in addition to information from interviews with patients during their hemodialysis sessions after taking an oral informed consent and insuring patients' privacy.
Predicting autoimmune thyroiditis in primary Sjogren's syndrome patients using a random forest classifier: a retrospective study.
Arthritis Res Ther
January 2025
Scientific Research Project Department, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Pazhou Lab, Guangzhou, China.
Article Synopsis
- The study examines how effective machine learning, particularly the Random Forest Classifier, is in predicting thyroid-specific autoantibodies in patients with Primary Sjogren's syndrome (pSS) based on clinical data.
- A total of 96 pSS patients were analyzed through thyroid function tests to categorize them by the presence of autoantibodies, leading to the exploration of various risk factors using four different machine learning algorithms.
- The Random Forest Classifier yielded the best results (AUC = 0.755), highlighting age, IgG levels, complement C4, and dry mouth as significant predictors for autoimmune thyroiditis in these patients.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!