2024 Radiologic Interpretation in the Oncology Population — On Demand

2024 Radiologic Interpretation in the Oncology Population — On Demand

Specialties

Overview

2024 Radiologic Interpretation in the Oncology Population — On Demand Radiologic imaging affects all oncology patients. We’re excited to offer an on demand option for our Radiologic Interpretation in the Oncology Population course, originally presented live on May 22, 2024. This program provides a comprehensive overview of radiologic interpretation in oncology, encompassing imaging of the breast, pelvis, chest, abdomen, brain, spine, extremities, and whole body. Alongside addressing pediatric considerations, faculty also explore the innovative use of imaging in oncology.

Modalities featured in this program include X-ray, ultrasound, computed tomography (CT) scans, magnetic resonance imaging (MRI), and nuclear imaging scans, along with the use of radiologic imaging in the innovative field of interventional oncology.

This on demand offering includes a series of lectures, panel discussions, and interdisciplinary case studies. View the brochure from the live course to see a complete list of topics available in this on demand offering.

This program is designed for nurse practitioners, physician assistants, nurse practitioner students, physician assistant students, clinical nurse specialists, nurses, radiologist assistants, certified registered nurse anesthetists, and physicians.

Objectives

1. Gain a basic understanding of the principles and interpretation of common imaging modalities and translate the knowledge learned to clinical practice
2. Identify the clinical indications for and selection criteria of various imaging modalities
3. Recognize common abnormalities on various radiology examinations
4. Address challenges and limitations of the various imaging modalities
5. Discuss the differential diagnosis for common radiographic findings
6. Explain the role of imaging in cancer screening, staging, and surveillance
7. Describe the use of real time radiologic imaging and interpretation in interventional oncology