Computer-aided detection of pulmonary embolism on CT angiography: initial experience
- PMID: 18043386
- DOI: 10.1097/RTI.0b013e31815b89ca
Computer-aided detection of pulmonary embolism on CT angiography: initial experience
Erratum in
- J Thorac Imaging. 2008 Feb;23(1):59. Godoy, Myrna B [corrected to Godoy, Myrna C]
Abstract
Objective: To evaluate the performance of a computer-aided detection (CAD) system for diagnosis of pulmonary embolism on computed tomography (CT) pulmonary angiography.
Materials and methods: One hundred and four pulmonary CT angiograms for pulmonary emboli (PE) were reviewed both by radiologists and a CAD detection system (ImageChecker CT V2.0, R2 Technology Inc, Sunnyvale, CA). CT scans, read and reported by radiologists in a routine daily clinical setting, were later processed by the CAD system. The performance of the CAD system was analyzed.
Results: Forty-five PE were identified by the radiologists in 15 patients. The CAD system revealed 123 findings, interpreted by the system as PE. Twenty-six of them, detected in 8 patients, represented true-positive results. Ninety-seven (78.9%) CAD findings were not true PE and were defined as false-positive. Nineteen true PE in 7 patients were missed by the CAD system constituting 42% false-negative rate. Sensitivity of the CAD system was 53.3% and the specificity was 77.5%. The positive predictive value of CAD system was 28.5% and the negative predictive value was 90.7%.
Conclusions: With the evaluated CAD system, it is relatively simple and fast to check all detected findings and decide if they represent true PE. However, high false-negative results demand technologic improvement, to increase the sensitivity of the system. It is anticipated to become a promising supplement to the work and eyes of the radiologist in detecting PE on pulmonary CT angiography.
Comment in
-
Computer-assisted detection for pulmonary embolism on MDCT: can CAD help Rad?J Thorac Imaging. 2007 Nov;22(4):317-8. doi: 10.1097/RTI.0b013e318159a5ba. J Thorac Imaging. 2007. PMID: 18043384 No abstract available.
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