PATIENT EXPERIENCE AND EMERGING THERAPEUTICS IN IMMUNE-MEDIATED DISEASE

Synopsis
TBD

Learning Objectives - At the conclusion of this activity, the learner will:

1. Recognize common oral manifestations of certain rheumatologic illnesses.
2. Recognize potential oral complications of commonly used antirheumatic medications.
3. Identify features of a systemic illness that warrants a referral to a rheumatologist.
4. Understand the significance of certain laboratory studies in the evaluation of a patient with a suspected systemic illness.

Speaker
Firas Kassab, MD, FACR

PATIENT EXPERIENCE AND EMERGING THERAPEUTICS IN IMMUNE-MEDIATED DISEASE

Synopsis
Pemphigus and pemphigoid are potentially life-threatening, autoimmune, blistering diseases affecting the skin and/or mucous membranes. Despite their rare disease status, every dental professional should immediately recognize these disorders so effective treatment can begin as quickly as possible. Are you prepared to recognize them?

Join us for a special combined presentation with both a patient and Dermatologist.

Witness the emotional diagnosis journey of a pemphigus vulgaris patient. This deeply moving and educational presentation shines a light on the unfortunately common delay in diagnosis - and resulting prolonged suffering - the average pemphigus and pemphigoid patient experiences.

Fortunately, dental professionals are in a unique position to accelerate patient diagnosis times. In this course, you will learn about the clinical presentation, management and for pemphigus and pemphigoid.

Learning Objectives

1. Know 4 questions to ask your patient when determining whether a pemphigus / pemphigoid biopsy should be considered.
2. Understand interdisciplinary management techniques for pemphigus and pemphigoid patients.
3. Realize the dental professional’s unique role in accelerating pemphigus and pemphigoid patient diagnosis times.
4. Feel more confident and knowledgeable in diagnosing and managing pemphigus and pemphigoid.

Speaker
Becky Strong and Naveed Sami, MD, FAAD

JONATHAN SHIP LECTURE

Synopsis
Artificial intelligence (AI) has shown potential in improving how clinicians diagnose and manage numerous diseases across various fields. Oral mucosal diseases, and in particular oral cancer and potentially malignant disorders (OPMDs), contribute to a significant health concern globally, and early detection/management of our patients is critical for improving patient outcomes. Despite some promising research, several challenges remain in the implementation of AI in oral medicine. These include the need for large, diverse datasets to train AI models, ensuring data privacy and security, and addressing potential biases in algorithmic decision-making.

In conclusion, AI has the potential to improve the diagnosis and management of important diseases we encounter as oral medicine specialists (and educate our students about). As an academy, and a global community, there are opportunities to work together to help implement AI in oral medicine.

Learning Objectives

1. Define artificial intelligence (AI), with a description of the history and current nomenclature/terminology.
2. List the domains of potential uses for AI in Oral Medicine.
3. Summarize the research on digital image analysis for oral mucosal diseases, with a special focus on Oral Cancer and Oral Potentially Malignant Disorders.
4. Elucidate some future directions for AI in Oral Medicine.

Speaker
A. Ross Kerr, DDS, MSD

Synopsis
Dentomaxillofacial imaging has seen an exponential growth in the utilization of cone beam CT (CBCT) imaging over the last 25 years. CBCT technology offers superior hard tissue resolution without overlapping anatomy at a fraction of the acquisition time and radiation exposure. This course aims to provide the OM practitioner with a basic understanding of CBCT technology and clinically relevant factors to achieve maximal diagnostic imaging. Incorporation of clinical case studies will illustrate the power of CBCT imaging in distinguishing hard tissue pathologies, both common and not so common.

Learning Objectives

1. Understand basic concepts of clinically relevant technical factors as they influence image quality.
2. Understand the advantages and limitations of CBCT imaging in maxillofacial diagnosis.
3. Recognize common, and not so common, hard tissue lesions.

Speaker
Nicole Hinchy, DDS, MS

Synopsis
Soft tissue and jaw lesions are best characterized and evaluated by MR imaging due its superior soft-tissue contrast, improved delineation of internal lesion matrix, and ability to assess the involvement of the bone marrow in infectious and malignant disease processes. This course will highlight the MRI features of common jaw and salivary gland lesions. Case-based interactive discussions will be used to provide an interpretative algorithm for approaching any jaw or soft tissue lesions as well as TMJ disk abnormalities in the maxillofacial region.

Learning Objectives

1. Understand T1, T2 and contrast MR images.
2. Be familiar with MR findings of common jaw lesions.
3. Be familiar with MR features of salivary gland diseases.
4. Evaluate the position and integrity of the TMJ articular disk.

Speaker
Anita Gohel, BDS, PhD

Synopsis
Ultrasonography is a diagnostic tool that uses sound echoes to produce images of tissues and organs. Ultrasonography techniques have characterized different lesions, from oral fibroma, bullous (pemphigus and pemphigoid), and OPMD to oral squamous cell carcinoma (OSCC). Some authors also compared the anatomopathologic findings with ultrasound images. Ultrasounds seem to be more accurate in small lesions (<5mm) than reference diagnostic systems such as MRI and CT. The intraoral approach was a real-time, non-invasive way to characterize oral lesions.

However, different devices with different frequencies and different landmarks have been used in the studies. These limitations add to the inherent limitations of the technique, which is operator-dependent. In other branches of medicine, much progress has been made through computer image analysis, computer vision, deep learning, and artificial intelligence (AI) in general. After giving a broad overview of the use of this technique in oral medicine, this course aims to describe the application potential of image analysis, computer vision, and deep learning technologies in this field.

Learning Objectives

1. Understand ultrasound images.
2. Understand the application of intraoral ultrasonography in the context of the oral mucosa.
3. Be familiar with ultrasound findings of common oral lesions.
4. Understand the application of image analysis (also computer vision and deep learning) in intraoral ultrasonography.

Speaker
Dario Di Stasio, DMD, PhD