Acute infarction after mechanical thrombectomy is better delineable in virtual non-contrast compared to conventional images using a dual-layer spectral CT.

Riederer, Isabelle; Fingerle, Alexander A; Baum, Thomas; Kirschke, Jan S; Rummeny, Ernst J; Noël, Peter B; Pfeiffer, Daniela

doi:10.1038/s41598-018-27437-7

2018

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Dokumenttyp:: Journal Article
Autor(en):: Riederer, Isabelle; Fingerle, Alexander A; Baum, Thomas; Kirschke, Jan S; Rummeny, Ernst J; Noël, Peter B; Pfeiffer, Daniela
Titel:: Acute infarction after mechanical thrombectomy is better delineable in virtual non-contrast compared to conventional images using a dual-layer spectral CT.
Abstract:: The aim was to evaluate Virtual Non-Contrast (VNC)-CT images for the detection of acute infarcts in the brain after mechanical thrombectomy using a dual-layer spectral CT. 29 patients between September 2016 and February 2017 with unenhanced head spectral-CT after mechanical thrombectomy and available follow-up images (MRI, n:26; CT, n:3) were included. VNC-CT and conventional CT (CT) images were reconstructed using dedicated software. Based on those, contrast-to-noise ratio (CNR), and the volume of infarction were measured semi-automatically in VNC-CT, CT and MRI. Furthermore, two readers independently assessed the VNC-CT and CT images in a randomized order by using the ASPECT score, and inter-rater reliability, sensitivity and specificity were calculated. CNR was significantly higher in VNC-CT compared to CT (3.1 ± 1.5 versus 1.1 ± 1.1, p < 0.001). The mean estimated volume of infarction was significantly higher in VNC-CT compared to CT (72% versus 55% of the volume measured in MRI, p < 0.005). Inter-rater reliability was higher in VNC-CT compared to CT (0.751 versus 0.625) and sensitivity was higher in VNC-CT compared to CT (73% versus 55%). In conclusion, acute ischemic lesions after mechanical thrombectomy are better definable in VNC-CT compared to CT images using a dual-layer spectral CT system.
Zeitschriftentitel:: Sci Rep
Jahr:: 2018
Band / Volume:: 8
Heft / Issue:: 1
Seitenangaben Beitrag:: 9329
Volltext / DOI:: doi:10.1038/s41598-018-27437-7
PubMed:: http://view.ncbi.nlm.nih.gov/pubmed/29921942
Print-ISSN:: 2045-2322
TUM Einrichtung:: Fachgebiet Neuroradiologie (Prof. Zimmer)
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