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Computer-aided detection of pulmonary embolism at CT pulmonary angiography: can it improve performance of inexperienced readers?
MedLine Citation:
PMID:  21225269     Owner:  NLM     Status:  Publisher    
PURPOSE: To evaluate the effect of a computer-aided detection (CAD) algorithm on the performance of novice readers for detection of pulmonary embolism (PE) at CT pulmonary angiography (CTPA). MATERIALS AND METHODS: We included CTPA examinations of 79 patients (50 female, 52 ± 18 years). Studies were evaluated by two independent inexperienced readers who marked all vessels containing PE. After 3 months all studies were reevaluated by the same two readers, this time aided by CAD prototype. A consensus read by three expert radiologists served as the reference standard. Statistical analysis used χ(2) and McNemar testing. RESULTS: Expert consensus revealed 119 PEs in 32 studies. For PE detection, the sensitivity of CAD alone was 78%. Inexperienced readers' initial interpretations had an average per-PE sensitivity of 50%, which improved to 71% (p < 0.001) with CAD as a second reader. False positives increased from 0.18 to 0.25 per study (p = 0.03). Per-study, the readers initially detected 27/32 positive studies (84%); with CAD this number increased to 29.5 studies (92%; p = 0.125). CONCLUSION: Our results suggest that CAD significantly improves the sensitivity of PE detection for inexperienced readers with a small but appreciable increase in the rate of false positives.
Kevin N Blackmon; Charles Florin; Luca Bogoni; Joshua W McCain; James D Koonce; Heon Lee; Gorka Bastarrika; Christian Thilo; Philip Costello; Marcos Salganicoff; U Joseph Schoepf
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-1-13
Journal Detail:
Title:  European radiology     Volume:  -     ISSN:  1432-1084     ISO Abbreviation:  -     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-1-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226 25 Courtenay Drive, Charleston, SC, 29401, USA.
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