Aim: The current study was designed to determine prevalence of various tongue lesions and their association with age, gender, systemic illness, deleterious habits, and distribution over the surfaces of tongue. It also explored the awareness and knowledge of subjects in relation to presence of tongue lesions, etiological factor, symptoms, and treatment received if any.
Methods: The present study was conducted on 1360 randomly selected dental outpatients from 1/10/2013 to 30/09/2014. Examination of tongue included surface changes, size, movements, and the presence of mucosal lesions. The subjects were asked about the knowledge, symptoms, and treatment obtained in case of awareness regarding the lesion.
Results: The prevalence of tongue lesions was found to be 13.75%. The most prevalent lesion was found to be coated tongue. The majority of the lesions were located on dorsum of tongue and not related with age, gender, habit, and systemic condition. A considerable number of subjects were aware of the changes on their tongue but negligible number sought any treatment.
Conclusions: The presence of tongue lesions in the study population was found be significant. Hence, general dental practitioners and health care providers should be educated about the diagnosis, etiology, investigations, and proper management of such tongue lesions.
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http://dx.doi.org/10.1016/j.jobcr.2015.12.007 | DOI Listing |
Am J Case Rep
January 2025
Research Institute of Dentistry, Department of Integral Dental Clinics, University Center of Health Sciences, Universidad de Guadalajara, Guadalajara, Mexico.
BACKGROUND Cowden syndrome is a genetic disorder that predisposes individuals to cancer and is characterized by hamartomas derived from 3 germ layers. Although the clinical signs can be pathognomonic, diagnosis is often aided by biopsies, histopathological examination of oral and cutaneous lesions, and genetic studies, including multiple ligation-dependent probe amplification (MLPA). CASE REPORT We report a case of a 35-year-old woman who manifested with multiple lesions in the buccal mucosa, dorsum of the tongue, and gums, along with papillomatous papules on her facial skin and the dorsal surfaces of her hands.
View Article and Find Full Text PDFDiagnostics (Basel)
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Department of Dermatology, Medical University of Warsaw, 02-006 Warsaw, Poland.
Lichen planus (LP) is a chronic inflammatory disease that can present with significant morbidity, particularly in children. Erosive lichen planus (ELP), its rare destructive subtype, can be particularly difficult to diagnose and manage. We present a rare pediatric case of ELP with multisite involvement and discuss the differential diagnosis.
View Article and Find Full Text PDFTransl Anim Sci
December 2024
Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA.
The National Beef Quality Audit ()-2022 serves as a benchmark of the current market cow and bull sectors of the U.S. beef industry and allows comparison to previous audits as a method of monitoring industry progress.
View Article and Find Full Text PDFHead Neck Pathol
January 2025
Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School, Boston, MA, USA.
We present the case of a 51-year-old man with Von Hippel-Lindau disease and a history of renal transplantation who developed a persistent, painful tongue lesion with episodes of significant swelling. Given his history of prolonged immunosuppression and elevated cancer risk, oral squamous cell carcinoma was a major concern. However, histopathological evaluation confirmed recrudescent herpes simplex virus (HSV) infection rather than malignancy.
View Article and Find Full Text PDFChin Med
January 2025
School of Pharmacy, Hangzhou Normal University, Hangzhou, China.
Background: The individualized prediction and discrimination of precancerous lesions of gastric cancer (PLGC) is critical for the early prevention of gastric cancer (GC). However, accurate non-invasive methods for distinguishing between PLGC and GC are currently lacking. This study therefore aimed to develop a risk prediction model by machine learning and deep learning techniques to aid the early diagnosis of GC.
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