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A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density
- Source :
- The British Journal of Radiology. 90:20160313
- Publication Year :
- 2017
- Publisher :
- British Institute of Radiology, 2017.
-
Abstract
- We propose the application of virtual nodules to evaluate the performance of computer-aided detection (CAD) of lung nodules in cancer screening using low-dose CT.The virtual nodules were generated based on the spatial resolution measured for a CT system used in an institution providing cancer screening and were fused into clinical lung images obtained at that institution, allowing site specificity. First, we validated virtual nodules as an alternative to artificial nodules inserted into a phantom. In addition, we compared the results of CAD analysis between the real nodules (n = 6) and the corresponding virtual nodules. Subsequently, virtual nodules of various sizes and contrasts between nodule density and background density (ΔCT) were inserted into clinical images (n = 10) and submitted for CAD analysis.In the validation study, 46 of 48 virtual nodules had the same CAD results as artificial nodules (kappa coefficient = 0.913). Real nodules and the corresponding virtual nodules showed the same CAD results. The detection limits of the tested CAD system were determined in terms of size and density of peripheral lung nodules; we demonstrated that a nodule with a 5-mm diameter was detected when the nodule had a ΔCT 220 HU.Virtual nodules are effective in evaluating CAD performance using site-specific scan/reconstruction conditions. Advances in knowledge: Virtual nodules can be an effective means of evaluating site-specific CAD performance. The methodology for guiding the detection limit for nodule size/density might be a useful evaluation strategy.
- Subjects :
- medicine.medical_specialty
Validation study
Lung Neoplasms
Sensitivity and Specificity
Imaging phantom
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Limit of Detection
Cancer screening
Image Processing, Computer-Assisted
medicine
Humans
Radiology, Nuclear Medicine and imaging
Lung cancer
Full Paper
Phantoms, Imaging
business.industry
Reproducibility of Results
Solitary Pulmonary Nodule
Nodule (medicine)
General Medicine
medicine.disease
Computer aided detection
Ct screening
030220 oncology & carcinogenesis
Multiple Pulmonary Nodules
Radiographic Image Interpretation, Computer-Assisted
Radiology
Tomography
medicine.symptom
Tomography, X-Ray Computed
Nuclear medicine
business
Subjects
Details
- ISSN :
- 1748880X and 00071285
- Volume :
- 90
- Database :
- OpenAIRE
- Journal :
- The British Journal of Radiology
- Accession number :
- edsair.doi.dedup.....361d5a9ea8572645bd6454801372b7f5