Dual-Energy Computed Tomography for Evaluating Acute Brain Infarction of Middle Cerebral Artery Territories: Optimization of Voltage Settings in Virtual Monoenergetic Imaging.


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: 15 5 2019
pubmed: 15 5 2019
medline: 4 6 2019
Statut: ppublish

Résumé

To evaluate the optimal virtual monochromatic energy in dual-energy computed tomography for differentiating between infarcted areas and normal brain parenchyma. We enrolled 29 patients with middle cerebral artery acute brain infarction of who underwent examination by dual-energy computed tomography. We calculated the contrast-to-noise ratio (CNR) between white or gray matter and the infarcted area (CNR(W-I) and CNR(G-I), respectively) and normalized CNRs. From the normalized CNRs, we assessed which monochromatic energy gave the best balance between the infarcted area and normal brain parenchyma. The 70-keV images were used for comparison. The 99-keV images demonstrated the best balance between the infarction and normal brain parenchyma. In quantitative analysis, the 99-keV images were not inferior to the 70-keV images. (CNR(G-I), 1.92 ± 0.80 vs 2.00 ± 0.70, respectively [P = 0.16]; CNR(W-I), 0.52 ± 0.72 vs 0.40 ± 0.64, P < 0.01, respectively). Monochromatic 99-keV energy images may be optimal for evaluating middle cerebral artery acute brain infarction.

Identifiants

pubmed: 31082952
doi: 10.1097/RCT.0000000000000869
pii: 00004728-201905000-00016
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

460-466

Auteurs

Takeshi Nakaura (T)

Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto.

Taihei Inoue (T)

Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto.

Hiroyuki Uetani (H)

Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto.

Kazunori Harada (K)

Department of Surgery, Amakusa Medical Center, Amakusa, Japan.

Yasuyuki Yamashita (Y)

Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto.

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