2013
DOI: 10.1016/j.ejrad.2013.07.013
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Semi-automated scoring of pulmonary emphysema from X-ray CT: Trainee reproducibility and accuracy

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Cited by 4 publications
(3 citation statements)
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“…In this regard, our methodology was similar to that in other studies examining interreader performance in diagnostic imaging with and without an intervention such as computer-aided diagnostic software. Parallel methodology has been used in lung disease, [39][40][41][42][43] breast imaging, 29,[44][45][46] and Alzheimer disease, 26,47 without determining intraobserver variability.…”
Section: 712mentioning
confidence: 99%
“…In this regard, our methodology was similar to that in other studies examining interreader performance in diagnostic imaging with and without an intervention such as computer-aided diagnostic software. Parallel methodology has been used in lung disease, [39][40][41][42][43] breast imaging, 29,[44][45][46] and Alzheimer disease, 26,47 without determining intraobserver variability.…”
Section: 712mentioning
confidence: 99%
“…Future studies are needed to validate these findings in larger cohorts of HIV+ patients, which may be possible with the introduction of automated CT emphysema scoring. 46, 47 This study also highlights the need for further investigations to delineate inflammatory pathways involved in emphysema in HIV and trials to determine whether HIV+ individuals with mild emphysema, in the absence of airflow limitation, would benefit from treatment with therapies traditionally directed against COPD.…”
Section: Resultsmentioning
confidence: 90%
“…The authors note that, with this software, high-resolution CT can be applied for an earlier window into COPD progression [2]. An automated emphysema score using principal component analysis with CT shows strong correlations with objective measures of COPD severity and facilitates strong intra-and inter-rater reliability independent of clinical experience in a small study [3]. Thomsen and colleagues also attempt to classify COPD using ''causal probabilistic networks,'' or Bayesian networks.…”
Section: Diagnosismentioning
confidence: 99%