Document Detail


Computer-assisted detection of pulmonary embolism: evaluation of pulmonary CT angiograms performed in an on-call setting.
MedLine Citation:
PMID:  19862534     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: The purpose of the study was to assess the stand-alone performance of computer-assisted detection (CAD) for evaluation of pulmonary CT angiograms (CTPA) performed in an on-call setting. METHODS: In this institutional review board-approved study, we retrospectively included 292 consecutive CTPA performed during night shifts and weekends over a period of 16 months. Original reports were compared with a dedicated CAD system for pulmonary emboli (PE). A reference standard for the presence of PE was established using independent evaluation by two readers and consultation of a third experienced radiologist in discordant cases. RESULTS: Original reports had described 225 negative studies and 67 positive studies for PE. CAD found PE in seven patients originally reported as negative but identified by independent evaluation: emboli were located in segmental (n = 2) and subsegmental arteries (n = 5). The negative predictive value (NPV) of the CAD algorithm was 92% (44/48). On average there were 4.7 false positives (FP) per examination (median 2, range 0-42). In 72% of studies <or=5 FP were found, 13% of studies had >or=10 FP. CONCLUSION: CAD identified small emboli originally missed under clinical conditions and found 93% of the isolated subsegmental emboli. On average there were 4.7 FP per examination.
Authors:
Rianne Wittenberg; Joost F Peters; Jeroen J Sonnemans; Mathias Prokop; Cornelia M Schaefer-Prokop
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-10-28
Journal Detail:
Title:  European radiology     Volume:  20     ISSN:  1432-1084     ISO Abbreviation:  Eur Radiol     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-03-10     Completed Date:  2010-06-18     Revised Date:  2010-09-27    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  801-6     Citation Subset:  IM    
Affiliation:
Department of Radiology, Academic Medical Centre, Amsterdam, The Netherlands. r.wittenberg@amc.uva.nl
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
After-Hours Care / statistics & numerical data*
Aged
Aged, 80 and over
Algorithms
Angiography / statistics & numerical data*
Artificial Intelligence
Female
Humans
Male
Middle Aged
Netherlands / epidemiology
Pattern Recognition, Automated / methods*
Pulmonary Embolism / epidemiology*,  radiography*
Radiographic Image Enhancement / methods
Radiographic Image Interpretation, Computer-Assisted / methods*
Reproducibility of Results
Sensitivity and Specificity
Tomography, X-Ray Computed / statistics & numerical data*
Young Adult
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