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Independent Study with an Expert: Pulmonary Fibrosis: An Algorithmic Approach to Diagnosis

Original release date:
October 8, 2020
Access to this course expires on:  April 8, 2021 at 11:59 PM Pacific Time
CME 1.25

Course Description
Categorization of fibrotic lung disease has become more difficult as many of the more straight-forward cases are no longer going to biopsy. However, because of heterogeneous treatments, recognition of the various patterns of fibrosis is still important. In this lecture, Dr. Jones will combine a discussion of pattern recognition, mechanism of disease, and useful algorithms to help the practicing pathologist make a diagnosis and generate a differential diagnosis that will be useful to the referring pulmonologists.

Target Audience
Practicing academic and community pathologists, and pathologists-in-training

Learning Objectives
Upon completion of this educational activity, learners will be able to:
  • Recognize the major patterns of pulmonary fibrosis.
  • Construct a differential diagnosis for each pattern of pulmonary fibrosis.
  • Describe an approach to "difficult to classify" biopsies.

Continuing Medical Education
The United States and Canadian Academy of Pathology is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

The United States and Canadian Academy of Pathology designates this enduring material for a maximum of 1.25 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

The faculty, committee members, and staff who are in position to control the content of this activity are required to disclose to USCAP and to learners any relevant financial relationship(s) of the individual or spouse/partner that have occurred within the last 12 months with any commercial interest(s) whose products or services are related to the CME content. USCAP has reviewed all disclosures and resolved or managed all identified conflicts of interest, as applicable.

The following faculty reported no relevant financial relationships: Kirk D. Jones, MD

USCAP staff associated with the development of content for this activity reported no relevant financial relationships.