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Clinical evaluation of pulmonary nodules with single-exposure dual-energy subtraction chest radiography with an iterative noise-reduction algorithm
- Source :
- Scopus-Elsevier
- Publication Year :
- 1995
- Publisher :
- Radiological Society of North America (RSNA), 1995.
-
Abstract
- To compare the clinical usefulness of the single-exposure dual-energy subtraction method with an iterative noise-reduction algorithm.Fourteen radiologists read three sets of images from 44 patients: original computed radiographic images only, original computed radiographic images plus conventional bone-subtracted images, and original computed radiographic images plus iterative noise-reduced bone-subtracted images. Twenty-two patients had one or more (maximum, five) pulmonary nodules; 22 had no pulmonary nodules. Observer performance was evaluated by means of calculation of the average area under the alternative free-response receiver operating characteristic curves (A1).Compared with the original computed radiographic image only, detection of nodules was significantly better with both the original computed radiographic image plus iterative bone-subtracted image (A1 = 0.72 +/- 0.02 and 0.66 +/- 0.02, respectively; P = .01) and the original computed radiographic image plus conventional bone-subtracted image (A1 = 0.66 +/- 0.02 and 0.61 +/- 0.01, respectively; P = .03).The iterative noise-reduction algorithm is superior to conventional methods in detection of pulmonary nodules.
- Subjects :
- Adult
Lung Diseases
Male
medicine.medical_specialty
Dual energy subtraction
Adolescent
Noise reduction
Radiography
Image processing
Image subtraction
Radiography, Dual-Energy Scanned Projection
medicine
Humans
Radiology, Nuclear Medicine and imaging
Aged
Single exposure
Receiver operating characteristic
business.industry
Nodule (medicine)
Middle Aged
ROC Curve
Subtraction Technique
Female
Radiography, Thoracic
Radiology
medicine.symptom
business
Nuclear medicine
Algorithms
Subjects
Details
- ISSN :
- 15271315 and 00338419
- Volume :
- 194
- Database :
- OpenAIRE
- Journal :
- Radiology
- Accession number :
- edsair.doi.dedup.....de360b059474484ecfeafa3e9490175e