Effect of an Automated Tracking Registry on the Rate of Tracking Failure in Incidental Pulmonary Nodules
- Resource Type
- Authors
- Christine H. Wendt; Jonathan Shelver; Angela E Fabbrini; Melissa McClure; Kathryn L. Rice; Brian J. Bell; Thomas S. Rector
- Source
- J Am Coll Radiol
- Subject
- medicine.medical_specialty
Lung Neoplasms
Hospitals, Veterans
Early lung cancer
Tracking (particle physics)
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Humans
Medicine
Radiology, Nuclear Medicine and imaging
Registries
030212 general & internal medicine
Incidental Findings
Lung
business.industry
Clinical Coding
Solitary Pulmonary Nodule
Tracking system
Nodule (medicine)
medicine.anatomical_structure
Radiology
medicine.symptom
Tomography, X-Ray Computed
business
Follow-Up Studies
- Language
- ISSN
- 1546-1440
OBJECTIVE: Following incidental lung nodules with interval CT scanning is an accepted method to detect early lung cancer, but delayed tracking or failure to track is reported in up to 40% of patients. METHODS: Our institution developed and implemented an automated lung nodule registry tracking system. This system uses a code at the time that a suspicious nodule is discovered to populate the registry. Suspicious nodules were defined as any nodule, solid or ground glass