Usefulness of Virtual Monochromatic Dual-Layer Computed Tomographic Imaging for Breast Carcinoma.
Adult
Aged
Aged, 80 and over
Breast Neoplasms
/ diagnostic imaging
Female
Humans
Middle Aged
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Radiography, Dual-Energy Scanned Projection
/ methods
Retrospective Studies
Signal-To-Noise Ratio
Tomography, X-Ray Computed
/ methods
Journal
Journal of computer assisted tomography
ISSN: 1532-3145
Titre abrégé: J Comput Assist Tomogr
Pays: United States
ID NLM: 7703942
Informations de publication
Date de publication:
Historique:
entrez:
16
1
2020
pubmed:
16
1
2020
medline:
24
1
2020
Statut:
ppublish
Résumé
This study aimed to evaluate virtual monochromatic images (VMIs) obtained using dual-layer dual-energy computed tomography (CT) for breast carcinoma. We retrospectively enrolled 28 patients with breast cancer who were pathologically diagnosed using dual-layer dual-energy CT. Virtual monochromatic images (40-200 keV) were generated. We compared CT number, image noise, contrast, and contrast-to-noise ratio (CNR) between VMIs with the highest CNR and conventional CT images. We performed qualitative image analysis between VMIs at optimized energy and conventional CT images. Image noise of VMIs was not significantly different from that of the conventional CT images. As the x-ray energy decreased, CNR increased. The 40-keV VMIs were highest CNR and higher than that of the conventional CT images. In qualitative image analysis, the 40-keV images were significantly higher than conventional CT images. Both qualitative and quantitative analyses showed that the image quality of VMIs at 40 keV was significantly higher than that of conventional CT images.
Identifiants
pubmed: 31939886
doi: 10.1097/RCT.0000000000000970
pii: 00004728-202001000-00015
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
78-82Références
Sardanelli F, Podo F, Santoro F, et al. Multicenter surveillance of women at high genetic breast cancer risk using mammography, ultrasonography, and contrast-enhanced magnetic resonance imaging (the High Breast Cancer Risk Italian 1 Study): final results. Invest Radiol. 2011;46:94–105.
Riedl CC, Luft N, Bernhart C, et al. Triple-modality screening trial for familial breast cancer underlines the importance of magnetic resonance imaging and questions the role of mammography and ultrasound regardless of patient mutation status, age, and breast density. J Clin Oncol. 2015;33:1128–1135.
Fuster D, Duch J, Paredes P, et al. Preoperative staging of large primary breast cancer with [18F]fluorodeoxyglucose positron emission tomography/computed tomography compared with conventional imaging procedures. J Clin Oncol. 2008;26:4746–4751.
Hickethier T, Baessler B, Kroeger JR, et al. Monoenergetic reconstructions for imaging of coronary artery stents using spectral detector CT: in-vitro experience and comparison to conventional images. J Cardiovasc Comput Tomogr. 2017;11:33–39.
van Hamersvelt RW, Schilham AMR, Engelke K, et al. Accuracy of rbone mineral density quantification using dual-layer spectral detector CT: a phantom study. Eur Radiol. 2017;27:4351–4359.
Matsumoto K, Jinzaki M, Tanami Y, et al. Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kVp CT. Radiology. 2011;259:257–262.
Nagayama Y, Nakaura T, Oda S, et al. Dual-layer DECT for multiphasic hepatic CT with 50 percent iodine load: a matched-pair comparison with a 120 kVp protocol. Eur Radiol. 2018;28:1719–1730.
Wienbeck S, Lotz J, Fischer U. Review of clinical studies and first clinical experiences with a commercially available cone-beam breast CT in Europe. Clin Imaging. 2017;42:50–59.
Uhlig J, Fischer U, Surov A, et al. Contrast-enhanced cone-beam breast-CT: analysis of optimal acquisition time for discrimination of breast lesion malignancy. Eur J Radiol. 2018;99:9–16.
Oda S, Nakaura T, Utsunomiya D, et al. Clinical potential of retrospective on-demand spectral analysis using dual-layer spectral detector-computed tomography in ischemia complicating small-bowel obstruction. Emerg Radiol. 2017;24:431–434.
Oda S, Utsunomiya D, Funama Y, et al. Evaluation of deep vein thrombosis with reduced radiation and contrast material dose at computed tomography venography: clinical application of a combined iterative reconstruction and low-tube-voltage technique. Circ J. 2012;76:2614–2622.
Chang W, Lee JM, Lee K, et al. Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography. Invest Radiol. 2013;48:598–606.