Radiology is an important component of the multidisciplinary team. The primary goal of this project will be to create a tool using findings on chest computed tomography (CT) for nearly 300 patients with the most common types of fibrosis. The tool will be tested using chest CT scans of an additional 100 patients with the 3 most common diagnoses of fibrosis. The second objective will be to further validate the tool by performing a reader study with 3 co-investigating radiologists and ask them to look at 100 CT scans of patients with fibrosis without tool and then with tool and see if accuracy of diagnosis improves compared to the working diagnosis when using the tool.
Study Type
OBSERVATIONAL
Enrollment
400
Columbia University Irving Medical Center
New York, New York, United States
Associations Between Patterns for CT Scan Features
Creation of the radiologic diagnostic tool will be identified via statistical analysis of patterns for CT scan features. The patterns will be characterized using latent class analysis (LCA) and the demographic factors that are predictive of each pattern will be identified. Associations between patterns for CT scan features identified using LCA and the disease diagnosis will then be assessed using the Fisher's exact test.
Time frame: Up to 6 months
Cumulative Number of Accurate General Radiologist's Diagnoses of Fibrosis Type Without Diagnostic Tool
The cumulative number of accurate (correct) diagnoses of fibrosis type (interstitial pneumonia (UIP), non-specific interstitial pneumonia (NSIP), or chronic hypersensitivity pneumonitis) without the diagnostic tool. Each assessment will be coded as correct or incorrect by comparing to the true disease diagnosis.
Time frame: Up to 6 months
Cumulative Number of Accurate General Radiologist's Diagnoses of Fibrosis Type With Diagnostic Tool
Cumulative number of accurate (correct) diagnoses of fibrosis type (interstitial pneumonia (UIP), non-specific interstitial pneumonia (NSIP), or chronic hypersensitivity pneumonitis) with the diagnostic tool. Each assessment will be coded as correct or incorrect by comparing to the true disease diagnosis.
Time frame: Up to 6 months
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