Source:http://linkedlifedata.com/resource/pubmed/id/15955862
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
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| pubmed:dateCreated |
2005-6-30
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| pubmed:abstractText |
Institutional review board approval was obtained. Informed patient consent was not required for this retrospective study, which involved review of previously obtained image data. Patient confidentiality was protected; the study was compliant with the Health Insurance Portability and Accountability Act. An automated pulmonary nodule detection program that takes advantage of three-dimensional volumetric data was developed and tested with multi-detector row computed tomographic (CT) images from 20 patients (13 men, seven women; age range, 40-75 years) with pulmonary nodules. A total of 164 nodules 3 mm in diameter and larger were detected by two radiologists in consensus and were used as a reference standard to evaluate the computer-aided detection (CAD) program. The CAD algorithm was structured to process nodules that were categorized into three types: isolated, juxtapleural, and juxtavascular. Overall sensitivity for nodule detection with the CAD program was 95.1% (156 of 164 nodules). The sensitivity according to nodule size was 91.2% (52 of 57 nodules) for nodules 3 mm to less than 5 mm and 97.2% (104 of 107 nodules) for nodules 5 mm and larger. The number of false-positive detections per patient was 6.9 for false nodule structures 3 mm and larger and 4.0 for false nodule structures 5 mm and larger.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
AIM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Jul
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| pubmed:issn |
0033-8419
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| pubmed:author | |
| pubmed:copyrightInfo |
Copyright RSNA, 2005
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| pubmed:issnType |
Print
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| pubmed:volume |
236
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
286-93
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| pubmed:meshHeading |
pubmed-meshheading:15955862-Adult,
pubmed-meshheading:15955862-Aged,
pubmed-meshheading:15955862-Algorithms,
pubmed-meshheading:15955862-Female,
pubmed-meshheading:15955862-Humans,
pubmed-meshheading:15955862-Imaging, Three-Dimensional,
pubmed-meshheading:15955862-Lung Neoplasms,
pubmed-meshheading:15955862-Male,
pubmed-meshheading:15955862-Middle Aged,
pubmed-meshheading:15955862-Radiographic Image Interpretation, Computer-Assisted,
pubmed-meshheading:15955862-Retrospective Studies,
pubmed-meshheading:15955862-Sensitivity and Specificity,
pubmed-meshheading:15955862-Tomography, X-Ray Computed
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| pubmed:year |
2005
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| pubmed:articleTitle |
Pulmonary nodules: automated detection on CT images with morphologic matching algorithm--preliminary results.
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| pubmed:affiliation |
Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110, USA. baet@mir.wustl.edu
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| pubmed:publicationType |
Journal Article
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