Quantification of small airway pulmonary infections: subjective visual grading versus objective quantification through a CAD system
Radiological Society of North America (RSNA), 97th Scientific Assembly and Annual Meeting, November 27–December 2, 2011, McCormick Place, Chicago
Abstract
An abstract is not available in the lab archive. View the paper at its source.
A 2011 RSNA conference presentation compared computer-based quantification of tree-in-bud opacities on chest CT with radiologists’ visual scores. The reported retrospective evaluation included CT scans from patients with human parainfluenza virus and normal volunteers.
Summary
The conference abstract describes a computer-aided detection (CAD) system for analyzing tree-in-bud opacities—small branching patterns visible on computed tomography (CT)—and comparing computer scores with radiologists’ visual grading. It reports a retrospective analysis of 39 chest CT scans from patients with laboratory-confirmed human parainfluenza virus and 21 normal CT scans from volunteers. The abstract reports sensitivity of 90.98% and specificity of 76%, as well as a statistically significant correlation between computer and visual scores. These are results from the reported evaluation; the abstract does not establish prospective validation or clinical readiness.
- Authors: U. Bagci, J. Yao, J. Caban, T. Palmore, A. Suffredini, A. Wu, and D. Mollura.
- Year: 2011.
- Venue: Radiological Society of North America (RSNA), 97th Scientific Assembly and Annual Meeting, November 27–December 2, 2011, McCormick Place, Chicago.
- Publication type: Conference presentation.
Cite this work
U. Bagci, J. Yao, J. Caban, T. Palmore, A. Suffredini, A. Wu, and D. Mollura (2011). Quantification of small airway pulmonary infections: subjective visual grading versus objective quantification through a CAD system. Radiological Society of North America (RSNA), 97th Scientific Assembly and Annual Meeting, November 27–December 2, 2011, McCormick Place, Chicago
BibTeX