Universität zu Köln

Van Hedent, S., Hokamp, N. Groe, Laukamp, K. R., Buls, N., Kessner, R., Rose, B., Ros, P. and Jordan, D. (2018). Differentiation of Hemorrhage from Iodine Using Spectral Detector CT: A Phantom Study. Am. J. Neuroradiol., 39 (12). S. 2205 - 2211. DENVILLE: AMER SOC NEURORADIOLOGY. ISSN 1936-959X

Full text not available from this repository.

Abstract

BACKGROUND AND PURPOSE: Conventional CT often cannot distinguish hemorrhage from iodine extravasation following reperfusion therapy for acute ischemic stroke. We investigated the potential of spectral detector CT in differentiating these lesions. MATERIALS AND METHODS: Centrifuged blood with increasing hematocrit (5%-85%) was used to model hemorrhage. Pure blood, blood-iodine mixtures (75/25, 50/50, and 25/75 ratios), and iodine solutions (0-14 mg I/mL) were scanned in a phantom with attenuation ranging from 12 to 75 HU on conventional imaging. Conventional and virtual noncontrast attenuation was compared and investigated for correlation with calculation of relative virtual noncontrast attenuation. Values for all investigated categories were compared using the Mann-Whitney U test. Sensitivity and specificity of virtual noncontrast, relative virtual noncontrast, conventional CT attenuation, and iodine quantification for hemorrhage detection were determined with receiver operating characteristic analysis. RESULTS: Conventional image attenuation was not significantly different among all samples containing blood (P > .05), while virtual noncontrast attenuation showed a significant decrease with a decreasing blood component (P < .01) in all blood-iodine mixtures. Relative virtual noncontrast values were significantly different among all investigated categories (P < .01), with correct hemorrhagic component size estimation for all categories within a 95% confidence interval. Areas under the curve for hemorrhage detection were 0.97, 0.87, 0.29, and 0.16 for virtual noncontrast, relative virtual noncontrast, conventional CT attenuation, and iodine quantification, respectively. A 10-HU virtual noncontrast, 20-HU virtual noncontrast, 40% relative virtual noncontrast, and combined 10-HU virtual noncontrast and 40% relative virtual noncontrast attenuation threshold had a sensitivity/specificity for detecting hemorrhage of 100%/23%, 89%/95%, 100%/82%, and 100%/100%, respectively. CONCLUSIONS: Spectral detector CT can accurately differentiate blood from iodinated contrast in a phantom setting.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Van Hedent, S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Hokamp, N. Groe UNSPECIFIED UNSPECIFIED UNSPECIFIED Laukamp, K. R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Buls, N. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kessner, R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Rose, B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Ros, P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Jordan, D. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-163436
DOI:	10.3174/ajnr.A5872
Journal or Publication Title:	Am. J. Neuroradiol.
Volume:	39
Number:	12
Page Range:	S. 2205 - 2211
Date:	2018
Publisher:	AMER SOC NEURORADIOLOGY
Place of Publication:	DENVILLE
ISSN:	1936-959X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DUAL-ENERGY CT; ISODENSE EPIDURAL HEMATOMA; CEREBRAL-ARTERY OCCLUSION; COMPUTED-TOMOGRAPHY; INTRAARTERIAL THROMBOLYSIS; INTRACRANIAL HEMORRHAGE; INTRACEREBRAL HEMORRHAGE; CONTRAST EXTRAVASATION; STROKE; THERAPY Multiple languages Clinical Neurology; Neuroimaging; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/16343