ArticleRadiology2014
Breast tissue characterization with photon-counting spectral CT imaging: a postmortem breast study.
Article in Radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Review
- Dual Source Photon-Counting Computed Tomography-Part II: Clinical Overview of Neurovascular Applications.Journal of clinical medicine · 2023Review
- Spectral Photon-Counting CT Imaging of Gold Nanoparticle Labelled Monocytes for Detection of Atherosclerosis: A Preclinical Study.Diagnostics (Basel, Switzerland) · 2023Article
- Dedicated breast CT: state of the art-Part II. Clinical application and future outlook.European radiology · 2022Review
- Dedicated breast CT: state of the art-Part I. Historical evolution and technical aspects.European radiology · 2022Review
- Characterization of arterial plaque composition with dual energy computed tomography: a simulation study.The international journal of cardiovascular imaging · 2021Article
- Objective assessment of task performance: a comparison of two FFDM detectors using an anthropomorphic breast phantom.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.Medical physics · 2019Article
- TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation Regularization for Spectral CT.IEEE transactions on medical imaging · 2016Article
- Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience.Radiology · 2016Article
- Quantitative Three-Dimensional Imaging of Lipid, Protein, and Water Contents via X-Ray Phase-Contrast Tomography.PloS one · 2016Article
- Breast density evaluation using spectral mammography, radiologist reader assessment, and segmentation techniques: a retrospective study based on left and right breast comparison.Academic radiology · 2015Article
- Quantification of Regional Breast Density in Four Quadrants Using 3D MRI-A Pilot Study.Translational oncology · 2015Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the feasibility of breast tissue characterization in terms of water, lipid, and protein contents with a spectral computed tomographic (CT) system based on a cadmium zinc telluride (CZT) photon-counting detector by using postmortem breasts. MATERIALS AND
methodsNineteen pairs of postmortem breasts were imaged with a CZT-based photon-counting spectral CT system with beam energy of 100 kVp. The mean glandular dose was estimated to be in the range of 1.8-2.2 mGy. The images were corrected for pulse pile-up and other artifacts by using spectral distortion corrections. Dual-energy decomposition was then applied to characterize each breast into water, lipid, and protein contents. The precision of the three-compartment characterization was evaluated by comparing the composition of right and left breasts, where the standard error of the estimations was determined. The results of dual-energy decomposition were compared by using averaged root mean square to chemical analysis, which was used as the reference standard.
resultsThe standard errors of the estimations of the right-left correlations obtained from spectral CT were 7.4%, 6.7%, and 3.2% for water, lipid, and protein contents, respectively. Compared with the reference standard, the average root mean square error in breast tissue composition was 2.8%.
conclusionSpectral CT can be used to accurately quantify the water, lipid, and protein contents in breast tissue in a laboratory study by using postmortem specimens.
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