This series equips healthcare professionals with essential knowledge for the early detection and evidence-based management of incidental pulmonary nodules (IPNs), promoting high-quality, timely care and improved patient outcomes in thoracic imaging.
Timely identification of incidental pulmonary nodules (IPNs) is an opportunity for early lung cancer detection. This activity offers a case-based introduction to IPNs, differential diagnosis, and malignancy risk prediction modeling.
Free
Efficient and effective capture of incidental pulmonary nodules depends on a well-structured clinical program. This activity will cover various topics that support administrators, clinicians, and support staff in developing highly effective programs.
Free
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Artificial Intelligence has piqued the interest of the healthcare community. This activity will discuss machine learning, its powerful algorithms and modeling that can assist clinicians in managing pulmonary nodules, and the pros and cons of its use.
Free
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Capturing and characterizing pulmonary nodules are just the tip of the iceberg in lung cancer detection. This activity will discuss guideline-directed management of pulmonary nodules and the role of the multidisciplinary team in this endeavor.
Free
Incidental pulmonary nodules can represent a broad range of underlying conditions. This activity uses cases to illustrate methodological approaches to risk assessment and stratification of nodules, determining the pretest probability for malignancy.
Free
Incidental pulmonary nodule detection is common, but most are not cancer. This activity will summarize the various approaches to diagnostic workup for a tissue diagnosis and discuss the clinical indications, limitations, and potential risks of each.
Free
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