Oral focal mucinosis (OFM) is a rare lesion first described in 1974, but the aetiology remains unknown. Clinically, OFM presents as an asymptomatic nodular lesion and the similarity of clinical features to other soft tissue injuries makes the diagnosis difficult. The aim of this study was to integrate the demographic, clinical, and histopathological characteristics from previously published cases of OFM into a systematic review. Electronic searches without publication date restriction were performed in the following databases: Embase, PubMed, Medline, Web of Science, and Scopus. Case reports or case series of OFM published in English and presenting enough clinical and histopathological information were included. This systematic review identified 42 studies from 12 countries, comprising 113 cases of OFM. This lesion affected more females than males, usually in the fourth decade of life. The gingiva was the most common anatomical location, followed by the palate. Clinical presentation was most often an asymptomatic nodule. Imaging exams revealed that most cases did not have bone involvement. Surgical removal was the treatment of choice for most cases and only one recurrent case was reported. In conclusion, OFM is an uncommon pathology, and its diagnosis depends on histopathological analysis. The lesion could be included as a differential diagnosis of benign soft tissue lesions of the oral cavity, especially those affecting the gingiva.

Ectomesenchymal chondromyxoid tumor (ECT) is a rare soft tissue tumor with peculiar histogenesis, exhibiting a predilection for the dorsum of the tongue. Molecular evidence suggests that it may originate from the migration of ectomesenchymal pluripotent cells from the neural crest to the tongue, where these cells may eventually proliferate and undergo myxoid and chondroid differentiation. This article illustrates a case of a 16-year-old female patient who presented with a nodule on the dorsum of her tongue, which had been present for four years. Surgical excision was performed, and histopathological analysis revealed a myxoid neoplasia composed of polygonal and spindle cells within a loose stroma containing chondroid areas. Tumor cells were positive for GFAP and S-100 proteins on immunohistochemical study, confirming the diagnosis of ECT. After a 5-year follow-up, the patient has shown no evidence of recurrence. Although rare, ECT can be diagnosed straightforwardly due to its distinctive clinical, histopathological, and immunohistochemical features. Clinicians and pathologists should become familiar with this tumor in order to avoid misdiagnosis.

Lipomas are one of the most common mesenchymal tumors in the human body, exhibiting a heightened prevalence between the ages of 40 and 60 years. However, primary intraoral lipomas are rare. Myxoid lipoma, which is characterized by abundant mucoid components, is a particularly rare histological subtype of lipoma. This study presents two cases of myxoid lipoma that occurred outside the common age range for occurrence, one in the right submandibular area of a 67-year-old male and the other in the lower lip of a 3-year-old child. Through these case reports, the aim was to introduce myxoid lipoma, a rare subtype affecting facial areas, and provide a brief review to assist in the differential diagnosis, emphasizing the importance of pathological assessment. Even in age groups and anatomical locations not typically associated with lipomas, it is crucial to emphasize the necessity of careful evaluation.

BACKGROUND: Dentigerous cysts, deemed of developmental origin, are benign odontogenic cysts characterized by a gradual growth rate. Their occurrence is twice as prevalent in men compared to women. These cysts are recognized as the most frequent developmental cysts affecting the jaws, with a typical manifestation in individuals aged 20 to 40, while infrequently identified in young children. Notably, dentigerous cysts have the potential to attain significant dimensions, resulting in painless enlargement of the jaw and subsequent deformation.
OBJECTIVE: To assess the clinicopathological features and management of ten years of experience with dentigerous cysts.
METHODS: A challenging cases were reported from reviewed records of the patients who were treated by the surgical intervention of various dentigerous cysts throughout the period of ten years, 2012-2022 and only histologically confirmed cases were selected, at Ramadi Teaching Hospital in addition to Rashid, Razi, Zuhur Private Hospitals and private clinics in Iraq.
RESULTS: 76 patients were included in this clinicopathological research. The highest age group affected was ≤ 18 years (68.4%), 54% were male, the mandible was more affected (63.1%) than the maxilla (36.9%). Marsupialization was applied to 30.3% of the cases, while enucleation was carried out in 69.7%.
CONCLUSIONS: The significance of meticulous examination of radiographs and the consequences associated with undetected and untreated ailments is affirmed by this case study. A comprehensive understanding of oral pathology serves as a valuable resource for dentists, facilitating accurate diagnosis, appropriate referrals, and the provision of anticipatory guidance to patients striving to achieve optimal oral health across various age groups.

BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. A delay in the diagnosis of OSCC can have a drastic impact on management and patient outcomes. One of the most crucial elements in oral management is the timely histopathological final diagnosis. Turnaround time (TAT) is regarded as the most important component of the quality performance evaluation. Many labs have struggled to improve their TATs despite advancements in computerization, transport systems, and analytical technologies.  Aim: This study aimed to assess the TAT of OSCC cases, assess the mean TAT period, evaluate any TAT delays, and explore the reasons behind the TAT delays.  Materials and methods: OSCC reports in Saveetha Dental College and Hospitals, Chennai, for one year from January 1, 2022, to December 31, 2022, were retrieved from the Dental Information Archival Software (DIAS), and the mean TAT was noted. Further, the number of cases with delay in TAT was also observed, and the reason for their delay was listed. Descriptive statistics and graphical representation were performed utilizing IBM SPSS Statistics for Windows, V. 23.0 (IBM Corp., Armonk, NY, USA). One-way ANOVA was performed with a significance set at a p-value less than 0.05.
RESULTS: 230 OSCC cases were retrieved and included in the TAT evaluation for this study. Among 230 cases, 161 (70%) were incisional and 69 (30%) were excisional biopsies. Only seven (4%) incisional cases and seven (10%) excisional biopsies showed a delay in TAT. The most common reason for the delay in TAT was the requirement for deeper sections and decalcification of bone specimens. Out of 161 incisional cases, only 48 (29%) have undergone excision and further treatment. Twenty-one out of 69 (30%) excisional cases were found to be referral cases from other private institutions. The overall average TAT for 12 months was 3.24 ± 0.41 days for incisional biopsies and 11.88 ± 2.07 days for excisional biopsies. One-way ANOVA revealed a statistically significant p-value of less than 0.00001.
CONCLUSIONS: Our study sheds light on specific challenges in TAT delay and opportunities for the improvement of TAT. This can result in faster TAT of OSCC reports, further improve patient care, and enable prompt treatment. This study quantified the TAT for OSCC cases and identified critical areas for process improvement. The findings can inform strategies to streamline diagnostic workflows, reduce delays, and ultimately improve the timely delivery of care to patients with OSCC.

BACKGROUND:  Oral tumors necessitate a dependable computer-assisted pathological diagnosis system considering their rarity and diversity. A content-based image retrieval (CBIR) system using deep neural networks has been successfully devised for digital pathology. No CBIR system for oral pathology has been investigated because of the lack of an extensive image database and feature extractors tailored to oral pathology.
METHODS: This study uses a large CBIR database constructed from 30 categories of oral tumors to compare deep learning methods as feature extractors.
RESULTS: The highest average area under the receiver operating characteristic curve (AUC) was achieved by models trained on database images using self-supervised learning (SSL) methods (0.900 with SimCLR and 0.897 with TiCo). The generalizability of the models was validated using query images from the same cases taken with smartphones. When smartphone images were tested as queries, both models yielded the highest mean AUC (0.871 with SimCLR and 0.857 with TiCo). We ensured the retrieved image result would be easily observed by evaluating the top 10 mean accuracies and checking for an exact diagnostic category and its differential diagnostic categories.
CONCLUSIONS: Training deep learning models with SSL methods using image data specific to the target site is beneficial for CBIR tasks in oral tumor histology to obtain histologically meaningful results and high performance. This result provides insight into the effective development of a CBIR system to help improve the accuracy and speed of histopathology diagnosis and advance oral tumor research in the future.

OBJECTIVE: The global incidence of lip and oral cavity cancer continues to rise, necessitating improved early detection methods. This study leverages the capabilities of computer vision and deep learning to enhance the early detection and classification of oral mucosal lesions.
METHODS: A dataset initially consisting of 6903 white-light macroscopic images collected from 2006 to 2013 was expanded to over 50,000 images to train the YOLOv7 deep learning model. Lesions were categorized into three referral grades: benign (green), potentially malignant (yellow), and malignant (red), facilitating efficient triage.
RESULTS: The YOLOv7 models, particularly the YOLOv7-E6, demonstrated high precision and recall across all lesion categories. The YOLOv7-D6 model excelled at identifying malignant lesions with notable precision, recall, and F1 scores. Enhancements, including the integration of coordinate attention in the YOLOv7-D6-CA model, significantly improved the accuracy of lesion classification.
CONCLUSIONS: The study underscores the robust comparison of various YOLOv7 model configurations in the classification to triage oral lesions. The overall results highlight the potential of deep learning models to contribute to the early detection of oral cancers, offering valuable tools for both clinical settings and remote screening applications.

This paper examines the clinical differentiation of pigmented lesions in the oral mucosa, which poses significant diagnostic challenges across dental and medical disciplines due to their spectrum from benign to potentially malignant conditions. Through a literature review and analysis of clinical cases, this study clarifies current diagnostic methodologies, with an emphasis on differential diagnosis, to provide a practical guide for clinicians. The classification of pigmented lesions, such as endogenous, focal melanocytic, and multifocal pigmentation, based on clinical and histological features, highlights the necessity for a structured and informed approach. A retrospective examination of cases from our oral medicine and pathology clinic, coupled with analysis of photographic and histological records, aids in classifying these lesions. This fosters a better understanding and promotes informed discussions among clinicians, ultimately aiming to enhance early and precise diagnosis, thus improving patient management and outcomes.

This case report aimed to describe a rare benign mandibular tumour and assess the outcomes of the most recent reviews, between January 2017 and August 2023. Presenting a detailed clinical case, this study advances our understanding of the diagnostic and therapeutic aspects, ultimately improving the management of similar cases in clinical practice. Orthopantomogram (OPG) revealed a well-defined unilocular radiolucency extending from the midline of the ramus and teeth 47 and 48 were submerged at the base of the mandible. In the presented case, a PLANMECA ROMEXIS PROMAX® three-dimensional (3D) maximum (MAX) cone-beam computed tomography (CBCT) device was used for the 3D examination. An intraoral approach was preferred and the tumour was removed in toto by creating a bone window using a W&H® Dentalwerk Bürmoos GmbH Piezomed piezoelectric device, and the bone plates were fixed with 4 MEDARTIS® microplates, with a primary flap closure. A PANORAMIC 1000, 3DHISTECH Ltd® device was employed for the histological investigation. Odontogenic tumours are rare and typically asymptomatic, often discovered incidentally during routine radiographic examinations. Most of these benign lesions heal well after complete excision and require long-term follow-up. Once diagnosed, ameloblastic fibroma (AF) should be treated immediately to avoid malignant transformation.

BACKGROUND: Biosurfactants are amphiphilic compounds produced by various microorganisms. Current research evaluates diverse types of biosurfactants against a range of oral pathogens.
OBJECTIVE: This systematic review aims to explore the potential of microbial-derived biosurfactants for oral applications.
METHODS: A systematic literature search was performed utilizing PubMed-MEDLINE, Scopus, and Web of Science databases with designated keywords. The results were registered in the PROSPERO database and conducted following the PRISMA checklist. Criteria for eligibility, guided by the PICOS framework, were established for both inclusion and exclusion criteria. The QUIN tool was used to assess the bias risk for in vitro dentistry studies.
RESULTS: Among the initial 357 findings, ten studies were selected for further analysis. The outcomes of this systematic review reveal that both crude and purified forms of biosurfactants exhibit antimicrobial and antibiofilm properties against various oral pathogens. Noteworthy applications of biosurfactants in oral products include mouthwash, toothpaste, and implant coating.
CONCLUSIONS: Biosurfactants have garnered considerable interest and demonstrated their potential for application in oral health. This is attributed to their surface-active properties, antiadhesive activity, biodegradability, and antimicrobial effectiveness against a variety of oral microorganisms, including bacteria and fungi.