Abstract Oral leukoplakia is a potentially malignant disorder, defined as a white plaque that cannot be diagnosed as another known disease or disorder, and has an increased risk of malignancy. The aim of the present study was to evaluate the results of CO2 laser treatment in a well-defined cohort of patients with oral leukoplakia in order to identify the occurrence of clinical outcomes of relapse, resolution, or malignancy after treatment. The study group comprised 37 patients. Before treatment, clinical photographs and incisional biopsies were obtained in all cases. In addition, the post-treatment results were documented using photographs. Evaluation of treatment results was performed by an independent researcher who had not performed the surgery. The minimum, maximum, and mean values of continuous variables were calculated. Statistically significant relationships were tested using the Cox regression analysis. A survival curve was constructed according to the Kaplan–Meier method to analyze the malignant transformation and recurrence of oral leukoplakia. The clinical outcomes analyzed were resolution, recurrence, and malignancy. The mean follow-up period was 36 months (range, 6–239 months). In 13/37 patients, leukoplakia recurred between 6 and 93 months (mean, 38.2 months). In 8/37 patients, a malignant transformation occurred (mean, 50.6 months). In 16/37 patients, lesion resolution occurred. No risk factor was statistically significant for malignancy or recurrence of lesions. The treatment of the lesions by CO2 laser was efficient in the removal of the lesions; however, it did not avoid the clinical outcomes of recurrence or malignancy.

Abstract: In Brazil, there are 15,500 incident cases of oral cancer (OC) yearly, and early diagnosis is the main factor for a better prognosis. The objective of this study was to analyze the interval between the first symptoms, diagnosis, and treatment commencement in patients with malignant neoplasms in the oral cavity, lips, and oropharynx diagnosed between 2012–2018. Epidemiological data, duration, history of lesion, biopsy, and diagnosis were obtained from the medical records of these patients, who were then contacted via phone and interviewed about their oncological treatment. The results were analyzed and expressed as mean, median, and SD. Of 184 patients, most were men, white, 50–69 years old, smokers, and alcoholics. The longest interval was between the first symptoms and first evaluation (a mean of 275 days). The interval between the first appointment and the result of the biopsy was shorter (13 days). Among the 85 patients interviewed, the interval between the diagnosis, the first appointment at the oncological clinic and treatment commencement was 55 days (mean) for patients using private-sector health care, and 96 days (mean) for patients using public health care. The interval was twice as long in the public health system compared with the private sector, which highlights the inequality of access to health care in Brazil. Delay in seeking health care after the appearance of the first symptoms remains a major problem.

ABSTRACT Pilomatrixoma is a follicular benign tumor of unknown etiology that originates in the matrix of a hair follicle. It develops more frequently in children and young adults, with a slight predominance in female patients. It is a slow-growing tumor that presents as a mobile nodule, firm, and with well-defined borders. The present study aimed to report the clinical, histopathologic, and radiographic aspects of pilomatrixoma in the cheek area of a 20-year-old female patient as the established treatment at an oral maxillofacial department. Pilomatrixoma is rarely included in the differential diagnosis of masses and nodules in the skin, and it is often confused with other nodular lesions, such as epidermoid cysts. The diagnostic method to identify this entity is an incisional biopsy. Because of its high incidence in the head and neck region, oral surgeons should be well-acquainted with this type of tumor so that it can be included as a diagnostic hypothesis of masses and nodules of the head and neck.

ABSTRACT Oral problems are common in patients diagnosed with Eating Disorders (ED) and still require better elucidation. We aimed to analyze the prevalence of oral Candida spp in individuals with ED. The sample of the study was comprised of 30 women with purgative habits and 15 without purgative habits. Samples of the oral cavity were collected by sterile cotton swab rubbed on soft tissues and teeth. Yeasts were isolated on Sabouraud dextrose agar. Yeasts were isolated from the oral cavity of 53% of the patients yielding 75 yeast isolates; of these, 43 were identified by conventional mycological methods: C. parapsilosis (n=19), C. glabrata (n=16), Rhodotorula sp (n= 6), C. famata (n=2). The remaining 32 isolates were presumptively identified as C. albicans or C. dubliniensis and required mass spectrometry for the final differentiation: 28 isolates were confirmed as C. albicans and four as C. dubliniensis. Among the control group, only four subjects (26.7%) were found to harbor C. albicans. The four C. dubliniensis isolates were from two patients, one that was only colonized and the other, with severe ED, was diagnosed with an oral candidiasis as demonstrated by the presence of pseudohyphae on the direct mycological exam from different sites. The increased rate of isolation of non-albicans species, such as C. glabrata, C. parapsilosis, and C. dubliniensis in the oral cavity from ED patients with nutritional deficiency may suggest that purgative habits of these patients can lead to changes in normal flora and predispose to oral candidiasis.

Abstract: Proteomic techniques have become popular in medicine and dentistry because of their widespread use in analyzing bodily fluids such as blood, saliva, urine, and gingival crevicular fluids as well as hard tissues such as enamel, dentine, and cementum. This review is a guide to proteomic techniques in general dentistry, summarizing techniques and their clinical application in understanding and diagnosing diseases and their use in identifying biomarkers of various diseases.