Mönckeberg's medial arteriosclerosis in the oral and maxillofacial region: A pilot study.

OBJECTIVE: To evaluate the prevalence of medial vascular calcifications in the oral and maxillofacial region and their association with systemic diseases. MATERIALS AND METHODS: The study included 211 consecutive patients with systemic diseases (January 2015-May 2016). Medical history and radiographic images were evaluated. Univariate analysis (t-test) was performed for continuous variables (age). The Chi square test was applied for the categorical variables (Mönckeberg medial arteriosclerosis [MMA], gender). RESULTS: There was a 6.2% prevalence of MMA. The mean age of patients with MMA was 65.46 ± 13.38. The prevalence of kidney disease in patients with MMA was significantly higher than in those without MMA (p < 0.001). This finding was maintained even after adjusting for other systemic diseases (OR = 31.84 [8.63-136.78]). CONCLUSION: A significant prevalence of MMA in kidney disease patients was observed in this pilot study.

CNNs for automatic glaucoma assessment using fundus images: an extensive validation.

BACKGROUND: Most current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and the extracted features. Among other characteristics, convolutional neural networks (CNNs) are known because of their ability to learn highly discriminative features from raw pixel intensities. METHODS: In this paper, we employed five different ImageNet-trained models (VGG16, VGG19, InceptionV3, ResNet50 and Xception) for automatic glaucoma assessment using fundus images. Results from an extensive validation using cross-validation and cross-testing strategies were compared with previous works in the literature. RESULTS: Using five public databases (1707 images), an average AUC of 0.9605 with a 95% confidence interval of 95.92-97.07%, an average specificity of 0.8580 and an average sensitivity of 0.9346 were obtained after using the Xception architecture, significantly improving the performance of other state-of-the-art works. Moreover, a new clinical database, ACRIMA, has been made publicly available, containing 705 labelled images. It is composed of 396 glaucomatous images and 309 normal images, which means, the largest public database for glaucoma diagnosis. The high specificity and sensitivity obtained from the proposed approach are supported by an extensive validation using not only the cross-validation strategy but also the cross-testing validation on, to the best of the authors' knowledge, all publicly available glaucoma-labelled databases. CONCLUSIONS: These results suggest that using ImageNet-trained models is a robust alternative for automatic glaucoma screening system. All images, CNN weights and software used to fine-tune and test the five CNNs are publicly available, which could be used as a testbed for further comparisons.

Oral adverse events associated with targeted cancer therapies.

Over the past decade, targeted therapies have emerged as promising forms of cancer treatment and are increasingly included in chemotherapeutic regimens for an ever-growing list of human cancers. Targeted therapies are so-named due to their specific targeting of dysregulated signaling pathways in cancer cells. This enhanced discrimination between tumor and normal cells is a more promising and efficacious approach to cancer treatment than conventional cytotoxic chemotherapy. However, targeted therapies still have side effects, and some manifest in the oral cavity. Oral adverse events tend to be mild and thus may be overlooked in the context of a patient's overarching diagnosis and management. These oral lesions are often noted during an intraoral examination and identified in the context of the patient's medical history and medication list. It is imperative that the dentist be informed of the oral sequelae of targeted therapies. Many of these side effects can be successfully managed in a palliative manner with conservative therapy. This article discusses the clinical presentations and treatment of intraoral adverse events attributable to the following classes of targeted therapies: epidermal growth factor receptor inhibitors, mammalian target of rapamycin inhibitors, angiogenesis inhibitors, and selected tyrosine kinase inhibitors.

A systematic review of oral herpetic viral infections in cancer patients: commonly used outcome measures and interventions.

PURPOSE: To review the literature for outcome measures for oral viral infections in cancer patients. A secondary aim was to update the Multinational Association of Supportive Care in Cancer/International Society of Oral Oncology (MASCC/ISOO) clinical practice guidelines for the management of oral viral infections in cancer patients. METHODS: Databases were searched for articles published in the English language, 1981-2013. Studies that met the eligibility criteria were reviewed systematically. The data about the outcome measures were classified according to the aim of the study: prevention, treatment, or non-interventional. The results of interventional studies were compared to the 2010 MASCC/ISOO publication. RESULTS: Multiple clinical and laboratory tests were used to measure oral viral infections, with great variability between studies. Most of the studies were about Herpes Simplex Virus (HSV). The outcome measure that was most commonly used was the presence of HSV infection diagnosed based on a combination of suggestive clinical presentation with a positive laboratory result. HSV culture was the most commonly reported laboratory outcome measure. Acyclovir and valacyclovir were consistently reported to be efficacious in the management of oral herpetic infections. No new data on the quality of life and economic aspects was found. CONCLUSIONS: Considering the variability in outcome measures reported to assess oral herpetic infections the researcher should select carefully the appropriate measures based on the objective of the study. Acyclovir and valacyclovir are effective in the management of oral herpetic infections in patients receiving treatment for cancer. Studies on newer anti-viral drugs may be useful to address the issue of anti-viral resistance.

The importance of the evaluation of expectations and perceptions to improve the dental service quality.

Purpose The purpose of this paper is to evaluate the use of SERVQUAL to assess service quality in Dentistry, by evaluating patients' expectations and perceptions of dental care and their association to patients' sociodemographic data. Design/methodology/approach The sample constituted of 379 subjects in the first assessment and 155 in the second phase. All employees of the companies that were clients of the dental insurance participated, a total of four companies in two states (São Paulo and Minas Gerais) of Brazil. SERVQUAL questionnaires about expectations and sociodemographic data were dispatched in the first phase, and in a second phase SERVQUAL questionnaires about perceptions. Those who had not yet received dental treatment and had agreed to participate filled out their survey in the first phase. In the second phase, the respondents had to have completed their treatment. Findings When the value gap is considered, Reliability (as a dimension) had the smallest score (-3.71). This means that it was the worst result, i.e. there is a higher difference between expectations and perceptions, and problems can be identified here. t-test confirmed that all the dimensions had some statistically significant difference with p<0.05 in relation to expectations and perceptions. Women presented higher prevalence of dissatisfaction (Tangible and Reliability dimensions), as well as the oldest participants (Empathy dimension) and those with lower parental literacy (Assurance and Empathy dimensions). The only dimension that was not significantly associated was Responsiveness. Originality/value This research suggests that the patients evaluated the physical characteristics of the premises and the interaction with the staff as the priority issues that need special attention in this service. Moreover, the use of SERVQUAL was extremely relevant for the oral health service, because it assessed the users' subjective perceptions.

Use of preventive dental care among medicaid-enrolled, school-aged US children in immigrant and nonimmigrant families: trends in Pennsylvania From 2005 through 2010.

OBJECTIVES: We describe trends in receipt of preventive dental care among Medicaid-enrolled children in Pennsylvania between 2005 and 2010, comparing the US children of immigrants with their co-ethnic peers in nonimmigrant families. METHODS: We analyzed Pennsylvania Medicaid claims, birth records, and census data for children born in Pennsylvania and enrolled in Medicaid for 10 or more months during any of the calendar years assessed. RESULTS: Receipt of preventive dental care was more likely among Latino children in immigrant families than among their peers in nonimmigrant families; also, it was more likely among White children in immigrant families than among their peers in nonimmigrant families. Rates of preventive dental care use among African American and Asian children in immigrant and nonimmigrant families were comparable. From 2005 to 2010, the percentage of Latino children in nonimmigrant families who received preventive dental care increased from 33% to 61%. Changes in other groups were significant but less dramatic. CONCLUSIONS: Receipt of preventive dental care has increased among Medicaid-enrolled children in Pennsylvania, with marked gains among Latino children. Within each racial/ethnic group, the children of immigrants were either more likely than or equally likely as children in nonimmigrant families to receive care.

Porphyromonas gingivalis, a bridge between oral health and immune evasion in gastric cancer.

Porphyromonas gingivalis (P. gingivalis) is a gram-negative oral pathogen associated with chronic periodontitis. Previous studies have linked poor oral health and periodontitis with oral cancer. Severe cases of periodontal disease can result in advanced periodontitis, leading to tissue degradation, tooth loss, and may also correlate with higher gastric cancer (GC) risk. In fact, tooth loss is associated with an elevated risk of cancer. However, the clinical evidence for this association remains inconclusive. Periodontitis is also characterized by chronic inflammation and upregulation of members of the Programmed Death 1/PD1 Ligand 1 (PD1/PDL1) axis that leads to an immunosuppressive state. Given that chronic inflammation and immunosuppression are conditions that facilitate cancer progression and carcinogenesis, we hypothesize that oral P. gingivalis and/or its virulence factors serve as a mechanistic link between oral health and gastric carcinogenesis/GC progression. We also discuss the potential impact of P. gingivalis' virulence factors (gingipains, lipopolysaccharide (LPS), and fimbriae) on inflammation and the response to immune checkpoint inhibitors in GC which are part of the current standard of care for advanced stage patients.

Reduction of surgical complications via 3D models during robotic assisted radical prostatectomy: review of current evidence and meta-analysis.

The use of 3-dimensional (3D) technology has become increasingly popular across different surgical specialities to improve surgical outcomes. 3D technology has the potential to be applied to robotic assisted radical prostatectomy to visualise the patient's prostate anatomy to be used as a preoperative and peri operative surgical guide. This literature review aims to analyse all relevant pre-existing research on this topic. Following PRISMA guidelines, a search was carried out on PubMed, Medline, and Scopus. A total of seven studies were included in this literature review; two of which used printed-3D models and the remaining five using virtual augmented reality (AR) 3D models. Results displayed variation with select studies presenting that the use of 3D models enhances surgical outcomes and reduces complications whilst others displayed conflicting evidence. The use of 3D modelling within surgery has potential to improve various areas. This includes the potential surgical outcomes, including complication rates, due to improved planning and education.

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images.

The lack of annotated datasets is a major bottleneck for training new task-specific supervised machine learning models, considering that manual annotation is extremely expensive and time-consuming. To address this problem, we present MONAI Label, a free and open-source framework that facilitates the development of applications based on artificial intelligence (AI) models that aim at reducing the time required to annotate radiology datasets. Through MONAI Label, researchers can develop AI annotation applications focusing on their domain of expertise. It allows researchers to readily deploy their apps as services, which can be made available to clinicians via their preferred user interface. Currently, MONAI Label readily supports locally installed (3D Slicer) and web-based (OHIF) frontends and offers two active learning strategies to facilitate and speed up the training of segmentation algorithms. MONAI Label allows researchers to make incremental improvements to their AI-based annotation application by making them available to other researchers and clinicians alike. Additionally, MONAI Label provides sample AI-based interactive and non-interactive labeling applications, that can be used directly off the shelf, as plug-and-play to any given dataset. Significant reduced annotation times using the interactive model can be observed on two public datasets.

Orofacial manifestations of bacterial and viral infections in children.

Orofacial manifestations of bacterial and viral infections in children may cause significant discomfort and suffering. Recognition of the clinical presentation of these disorders is paramount to their clinical management and appropriate referral.

Dental Management of the Human Papilloma Virus-Related Oropharyngeal Cancer Patient.

Human papilloma virus (HPV)-attributable head and neck cancers (HNCs) are on the rise, impacting younger patients compared with HPV (-) HNC. Fortunately, HPV (+) HNCs are associated with favorable prognoses and tend to be radiosensitive. However, radiation therapy for the treatment of HNC is associated with acute and chronic normal tissue toxicity to salivary glands, muscles, bone, and the oral cavity and presents a treatment challenge. Thus, the prevention of normal tissue injury and optimization of oral health are key. Dental teams are important members of the multidisciplinary cancer team.

An Adolescent Patient Reports to Dental Office for Pain in Relation to Mandibular Molar with an Incidental Palpable Thrill in the Submandibular Region.

A young female patient presents to a dental clinic for treatment of swelling and pain. Clinical examination and testing are completed revealing concomitant, suspected vascular pathology of the head and neck area. An endodontic diagnosis is made, but an unusual clinical finding of a vascular entity, not typically considered by dentists, requires interdisciplinary assessment and management with vascular surgery before surgical intervention of the oral cavity.

The Patient Faints in the Waiting Area with a Suspected Hypoglycemic Event.

An older adult with diabetes is taking glipizide, a sulfonylurea class drug. Subsequently, she experiences a hypoglycemic episode in the dental office. Prompt recognition of hypoglycemia and administration of glucose or sugar is vital. Patient and provider education about the risks of hypoglycemia in older adults may help to prevent future hypoglycemic episodes.

An Elderly Patient with Undiagnosed Type 2 Diabetes Mellitus Presenting for an Emergency Extraction.

In this case a patient has multiple risk factors for diabetes including periodontal disease, family history positive for diabetes, and body mass index of 24 in an Asian American. He has no medical or dental home and upon presenting to the dental office would be a good candidate for diabetes screening.

A Diabetic Patient with a Recent History of Flap and Osseous Surgery Presents Back with Bleeding and Infection.

A patient with type II diabetes and renal disease developed infection and bleeding after periodontal osseous surgery. The clinician did not adequately assess the patient's long-term glycemic status or stage of chronic kidney disease (CKD) before initiating osseous surgery. Preoperative assessment of patients with diabetes should include at a minimum an Hba1c within 3 months and estimated glomerular filtration rate for CKD.

Patient with Type I Diabetes Mellitus Develops Post-Operative Hyperglycemia After Osseous Surgery.

A patient with type I diabetes withheld her diabetes medications without consulting her physician and was not able to resume her normal diet after extensive dental surgery resulting in hyperglycemia postoperatively. Clear communication between clinicians and patient about the expected postoperative course and changes to factors that may influence glycemic control could prevent hyperglycemia in the postoperative period.

A Patient with Refractory Trigeminal Neuralgia was Referred for Suspected Odontogenic Pain.

Chronic pain of the face with a sudden, unilateral, and electric shock-like pain in the distribution of the trigeminal nerve is known as Trigeminal neuralgia (TN). This case report presents a patient with TN symptoms, along with concomitant tooth pain. The diagnostic process and management of the patient are discussed, emphasizing the importance of interdisciplinary collaboration for optimal patient care.

A Pregnant Patient with Gestational Diabetes Reports for Scaling and Root Planning.

In this case a woman with gestational diabetes and otherwise healthy pregnancy needs scaling and root planning for the treatment of stage I periodontal disease during pregnancy. Her daily blood sugars are in the target range, and there are no contraindications to providing necessary dental treatment under local anesthesia with vasoconstrictors in her case.

Oral factitious injury in a child diagnosed with Kabuki syndrome.

Factitious injury or self-injurious behavior is a common manifestation in children affected by neurologic, developmental, or psychiatric disease. The nature and presentation of this behavior in the oral cavity varies among diagnoses, and such behavior can be easily missed. This report describes the presence of self-injurious behavior in a child diagnosed with Kabuki syndrome who presented to a pediatric dentistry referral practice for evaluation of gingival bleeding, and provides a brief overview of the known etiology and management of this challenging condition. Clinicians should be aware of the possibility of self-injurious behavior when treating children diagnosed with Kabuki syndrome.

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.

Shape reconstruction from sparse point clouds/images is a challenging and relevant task required for a variety of applications in computer vision and medical image analysis (e.g. surgical navigation, cardiac motion analysis, augmented/virtual reality systems). A subset of such methods, viz. 3D shape reconstruction from 2D contours, is especially relevant for computer-aided diagnosis and intervention applications involving meshes derived from multiple 2D image slices, views or projections. We propose a deep learning architecture, coined Mesh Reconstruction Network (MR-Net), which tackles this problem. MR-Net enables accurate 3D mesh reconstruction in real-time despite missing data and with sparse annotations. Using 3D cardiac shape reconstruction from 2D contours defined on short-axis cardiac magnetic resonance image slices as an exemplar, we demonstrate that our approach consistently outperforms state-of-the-art techniques for shape reconstruction from unstructured point clouds. Our approach can reconstruct 3D cardiac meshes to within 2.5-mm point-to-point error, concerning the ground-truth data (the original image spatial resolution is ∼1.8×1.8×10mm3). We further evaluate the robustness of the proposed approach to incomplete data, and contours estimated using an automatic segmentation algorithm. MR-Net is generic and could reconstruct shapes of other organs, making it compelling as a tool for various applications in medical image analysis.