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Differentiation of Hemorrhage from Iodine Using Spectral Detector CT: A Phantom Study.
Van Hedent, S; Hokamp, N Große; Laukamp, K R; Buls, N; Kessner, R; Rose, B; Ros, P; Jordan, D.
Afiliación
  • Van Hedent S; From the Departments of Radiology (S.V.H., N.G.H., K.R.L., R.K., P.R., D.J.) steven.vanhedent@case.edu.
  • Hokamp NG; Case Western Reserve University School of Medicine (S.V.H., N.G.H., K.R.L., R.K., B.R., P.R., D.J.), Cleveland, Ohio.
  • Laukamp KR; Institute for Diagnostic and Interventional Radiology (N.G.H., K.R.L.), University Hospital Cologne, Cologne, Germany.
  • Buls N; Vrije Universiteit Brussel (S.V.H., N.B.), Brussels, Belgium.
  • Kessner R; Department of Radiology (S.V.H., N.B.), Universitair Ziekenhuis Brussel, Brussels, Belgium.
  • Rose B; From the Departments of Radiology (S.V.H., N.G.H., K.R.L., R.K., P.R., D.J.).
  • Ros P; Case Western Reserve University School of Medicine (S.V.H., N.G.H., K.R.L., R.K., B.R., P.R., D.J.), Cleveland, Ohio.
  • Jordan D; From the Departments of Radiology (S.V.H., N.G.H., K.R.L., R.K., P.R., D.J.).
AJNR Am J Neuroradiol ; 39(12): 2205-2210, 2018 12.
Article en En | MEDLINE | ID: mdl-30409850
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Hemorragia Cerebral / Accidente Cerebrovascular / Extravasación de Materiales Terapéuticos y Diagnósticos / Yodo Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Hemorragia Cerebral / Accidente Cerebrovascular / Extravasación de Materiales Terapéuticos y Diagnósticos / Yodo Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Año: 2018 Tipo del documento: Article