Lung Tumors: A Multidisciplinary Database

Editors:

Jeffrey R. Galvin,* M.D.
Professor
Department of Radiology

Michael W. Peterson,** M.D.
Professor
Department of Internal Medicine

Associate Editors:

Natisha P. Busick, B.S.
Peter C. Fretz, B.S.

Section Editors and Contributing Authors

The University of Iowa

* Currently Chief Pulmonary and Mediastinal Radiology, Armed Forces Institute of Pathology
** Currently Professor, Department of Internal Medicine, University of California--Fresno

Peer Review Status: Internally Peer Reviewed
Creation Date: August 1996
Revision Date: August 1999

Table of Contents

Sponsored by the University of Iowa College of Medicine Departments of Medicine, Radiology, Surgery, and Pathology; and by the University of Iowa Hospitals and Clinics Department of Pharmaceutical Care.

Awards, Reviews and Comments

Interactive Diagnostic Aids

• Staging Tool - An interactive device that allows you to stage your patients.
• Nodule Tool - Predicts risk of malignancy in solitary pulmonary nodules.

Case Studies

• View Case Studies
• View Case Studies by Category

Topic Oriented Material

• Thoracic Neoplasms
  • Introduction
  • Clinical Presentation and Initial Evaluation
  • Diagnosis
  • Staging System
  • Pathologic Types
  • Treatment
  • Neoplastic and Paraneoplastic Syndromes
• Pleural Based Neoplasms
  • Mesothelioma

Earn CME Credit

The organization of the database is based on a series of "virtual patients" taken from our experience in the Lung Cancer Clinic. Each patient was chosen to illustrate or reinforce a different aspect of lung cancer presentation, work-up or treatment. These cases link to specific discussions in the "first level", and are focused within individual disciplines such as Thoracic Surgery, Pulmonary Medicine, Medical Oncology, Radiation Oncology, Pathology and Radiology. These discussions are directed at those who are new to the subject or are general practitioners. These discussions, in turn, link to more specific or detailed information in the second level.

One may enter the database from the virtual patient list and link to specific information about a disease entity as required. Alternatively, the user can search for specific information at the outset and link to clinical examples later.

We believe that the multidisciplinary approach provides a more accurate picture of the disease process and its treatment. We hope that you enjoy using this database as much as we have enjoyed participating in its creation.