NTSM: a non-salient target segmentation model for oral mucosal diseases

BACKGROUND

Oral mucosal diseases are similar to the surrounding normal tissues, i.e., their many non-salient features, which poses a challenge for accurate segmentation lesions. Additionally, high-precision large models generate too many parameters, which puts pressure on storage and makes it difficult to deploy on portable devices.

METHODS

To address these issues, we design a non-salient target segmentation model (NTSM) to improve segmentation performance while reducing the number of parameters. The NTSM includes a difference association (DA) module and multiple feature hierarchy pyramid attention (FHPA) modules. The DA module enhances feature differences at different levels to learn local context information and extend the segmentation mask to potentially similar areas. It also learns logical semantic relationship information through different receptive fields to determine the actual lesions and further elevates the segmentation performance of non-salient lesions. The FHPA module extracts pathological information from different views by performing the hadamard product attention (HPA) operation on input features, which reduces the number of parameters.

RESULTS

The experimental results on the oral mucosal diseases (OMD) dataset and international skin imaging collaboration (ISIC) dataset demonstrate that our model outperforms existing state-of-the-art methods. Compared with the nnU-Net backbone, our model has 43.20% fewer parameters while still achieving a 3.14% increase in the Dice score.

CONCLUSIONS

Our model has high segmentation accuracy on non-salient areas of oral mucosal diseases and can effectively reduce resource consumption.

Composite dissolvable microneedle patch for therapy of oral mucosal diseases

A composite microneedle patch (MN patch) is developed for oral transmucosal administration. To improve the oral transmucosal drug delivery efficiency, the composite MN patch is designed to consist of an array of 100 dissolvable microneedles (MNs) with drug-loaded tips and a backing layer. The MNs are composed of two parts, the hyaluronic acid (HA) tip part and the polyvinylpyrrolidone (PVP) base part. Due to the small size and sufficient mechanical strength, the HA-PVP MNs can painlessly penetrate the oral mucosa barrier and deliver drugs directly to the basal layer or submucosa. Betamethasone sodium phosphate (BSP), as the model drug, is concentrated in the HA tip parts to avoid the drug waste caused by mucosa elasticity. Considering the special moist environment and saliva flow in the mouth, a double-layer backing layer composed of a poly(vinyl alcohol) (PVA) adhesive layer and an ethyl cellulose (EC) waterproof layer is designed and constructed, which could reduce the saliva flow effects. The in vitro and in vivo results demonstrate that the MN patch could achieve rapid and efficient BSP release in oral mucosa due to the rapid dissolution of HA. The proposed MN patch provides a novel strategy for the therapy of oral mucosal diseases.

Application of medical magnifying loupes in diagnosis of oral mucosal diseases

: To evaluate the application of medical magnifying loupes in diagnosis of oral mucosal diseases. Twenty-four patients with plaque-type oral lichen planus or homogeneous oral leukoplakia were inspected by naked eyes or assistance with magnifying loupes. Histopathological results were used as the gold standard to evaluate the sensitivity, specificity and accuracy of the two methods in clinical diagnosis. Questionnaires were used to evaluate the subjective effect of magnifying loupes on the diagnosis efficiency of oral mucosal diseases and to explore the most suitable parameters for application. The sensitivity, specificity and accuracy of medical magnifying loupes for the identification of plaque-type oral lichen planus and homogeneous oral leukoplakia were 94.74%, 100.00% and 95.83%, respectively, which were significantly higher than those of naked eye inspection (89.47%, 80.00% and 87.50%). The effective rate of magnifying loupes assisted diagnosis was 91.76% according to physicians' subjective evaluation. The most suitable parameters were 3.5 times magnification and working distance. The medical magnifying loupes can effectively improve the efficiency of the inspection and diagnosis of oral mucosal diseases, and have the characteristics of convenience and real-time. The recommended clinical parameters are 3.5 times magnification and working distance.

Dental Considerations in Patients with Oral Mucosal Diseases

Oral mucosal diseases represent a significant health care burden, rendering a complex patient population in which interdisciplinary care among dermatologists, primary dental providers, and dental specialists is required for optimal care. Oral mucosal diseases often cause painful ulceration and blistering which can impede a patient's ability to perform dental home care and the dental professional's ability to deliver routine and complex treatment. It is crucial to consider the environment of the oral cavity. It is paramount to be aware of the potential side effects that certain medications may cause and the possible interactions with other medications the patient is using.

Prevalence of and related risk factors in oral mucosa diseases among residents in the Baoshan District of Shanghai, China

BACKGROUND

Oral mucosal diseases (OMDs) encompass a variety of different types of diseases. Our aim was to evaluate the prevalence and related risk factors of OMDs among residents in the Baoshan District of Shanghai, China, and provide a scientific basis for prevention and control strategies.

METHODS

A sample of 653 residents aged 17 to 92 years from the Baoshan community was investigated in 2014. Each resident was surveyed by questionnaire to evaluate their oral mucosa and oral mucosa examinations were conducted. We followed up with 607 residents in 2018. All data were statistically analyzed using the SPSS 25.0 software package (Chicago, IL, USA) at the general population, gender and age levels. A X2 test was used to compare rates of risk factors and logistic regression analysis was used to detect the correlation between disease and risk factors.

RESULTS

The prevalence rate of OMDs was found to be 9.19%-9.56% (2014-2018). The most common OMDs were atrophic glossitis (1.84%), recurrent aphthous ulcer (RAU, 1.68%), burning mouth syndrome (BMS, 1.38%), oral lichen planus (OLP, 1.23%) and traumatic ulcers (1.23%). The prevalence of RAU and BMS in different age groups was significantly different. Tobacco and alcohol use and psychological factors in the OMDs group were higher than the no-OMDs group. Systemic diseases including diabetes mellitus (DM) was significantly relevant to OLP.

CONCLUSION

Age, tobacco and alcohol use, and psychological factor correlated strongly with the occurrence and development of OMDs, and they should be the focus of primary prevention. General epidemiological studies suggested that OLP was closely related to DM.

[Study on the oral mucosal diseases in patients with cerebrovascular diseases]

Objective: To investigate the prevalence of oral mucosal diseases (OMD) in patients with cerebrovascular disease. Methods: A total of 182 patients with cerebrovascular disease and 166 controls were examined for OMD to compare the differences of prevalence rates. Results: The prevalence of OMD in patients with cerebrovascular disease appeared higher than that in the control group. Oral candidiasis was most commonly seen (11.1%, 20/182), followed by fissured tongue (5.0%, 9/182), traumatic ulcer (2.8%, 5/182), herpes labialis (2.2%, 4/182), recurrent oral ulcer (1.6%, 3/182), chronic cheilitis (1.6%, 3/182) and oral leukokeratosis (1.6%, 3/182). Conclusion: Patients with cerebrovascular diseases were susceptible to OMDs, especially to oral candidiasis that called for more attention.

[Holistic integrative medicine: application in prevention and treatment of oral mucosal diseases]

Holistic integrative medicine (HIM), as one of the important ideas in the field of medicine, arouses great concern recently. HIM regards the human body as a whole, turns data and evidence in medical research back to facts, integrates technologies and experience developed in clinical research into medical skills. The repeated practices at the levels of fact, experience, and medical skills will generate true knowledge to solve the wide spread problems brought by linearized thinking and fragmented knowledge. With the development of highly divided medical disciplines, how to utilize and practice HIM has become a common concern of the medical community. Specialization of stomatology, which is a first level discipline like medicine, has also become a trend for years. However, holistic concept cannot be overlooked, especially in the development of oral medicine. This article aims at the communication and exchange of knowledge about HIM among dental professionals. In order to serve the patients better, the authors look forward to practicing the HIM concept in the field of oral medicine through the efforts of us all.

Langerhans cells and their role in oral mucosal diseases

Dendritic cells are arguably the most potent antigen-presenting cells and may be the only cells capable of initiating the adaptive immune response. The epithelial residents of dendritic cells are Langerhans cells, which serve as the "sentinels" of the mucosa, altering the immune system not only to pathogen entry but also of tolerance to self antigen and commensal microbes. Oral mucosal Langerhans cells are capable of engaging and internalizing a wide variety of pathogens and have been found responsive to nickel in patients with nickel allergies, oral Candida species, oral lichen planus, lichenoid drug eruptions, graft versus host diseases, periodontal diseases median rhomboid glossitis, human immunodeficiency virus infection, hairy leukoplakia of the tongue, and oral squamous cell carcinoma. Review focuses on the role of antigen-presenting cells in particular Langerhans cells to better understand the mechanisms underlying immune responses. In this review, comprehensive detail about mucosal diseases has been compiled using the PubMed database and through textbooks.