Virtual versus true non-contrast dual-energy CT imaging for the diagnosis of aortic intramural hematoma

被引:37
|
作者
Si-Mohamed, Salim [1 ,2 ]
Dupuis, Nicolas [1 ,2 ,3 ]
Tatard-Leitman, Valerie [1 ]
Rotzinger, David [4 ]
Boccalini, Sara [2 ]
Dion, Matthias [1 ,2 ,3 ]
Vlassenbroek, Alain [5 ]
Coulon, Philippe [6 ]
Yagil, Yoad [7 ]
Shapira, Nadav [7 ]
Douek, Philippe [1 ,2 ]
Boussel, Loic [1 ,2 ]
机构
[1] Univ Claude Bernard Lyon 1, Univ Lyon, INSERM, CNRS,INSA Lyon,UJM St Etienne,CREATIS UMR 5220,U1, F-69621 Lyon, France
[2] CHU Louis Pradel, Radiol Dept, Hosp Civils Lyon, 59 Blvd Pinel, F-69500 Bron, France
[3] Lyon Est, Anat Lab, Rockefeller Fac, Lyon, France
[4] Lausanne Univ Hosp, Dept Diagnost & Intervent Radiol, Lausanne, Switzerland
[5] CT Clin Sci, Best, Netherlands
[6] Philips, CT Clin Sci, Suresnes, France
[7] Philips, Global Adv Technol CT, Haifa, Israel
关键词
Tomography; x-ray computed; Humans; In vitro; Acute disease; Aorta; COMPUTED-TOMOGRAPHY; ATTENUATION MEASUREMENTS; IMAGES; ANGIOGRAPHY; DISSECTION; PRINCIPLES; ACCURACY; DETECTOR; VALUES;
D O I
10.1007/s00330-019-06322-5
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose To assess whether virtual non-contrast (VNC) images derived from contrast dual-layer dual-energy computed tomography (DL-DECT) images could replace true non-contrast (TNC) images for aortic intramural hematoma (IMH) diagnosis in acute aortic syndrome (AAS) imaging protocols by performing quantitative as well as qualitative phantom and clinical studies. Materials and methods Patients with confirmed IMH were included retrospectively in two centers. For in vitro imaging, a custom-made phantom of IMH was placed in a semi-anthropomorphic thorax phantom (QRM GmbH) and imaged on a DL-DECT at 120 kVp under various conditions of patient size, radiation exposure, and reconstruction modes. For in vivo imaging, 21 patients (70 +/- 13 years) who underwent AAS imaging protocols at 120 kVp were included. In both studies, contrast-to-noise ratio (CNR) between hematoma and lumen was compared using a paired t test. Diagnostic confidence (1 = non-diagnostic, 4 = exemplary) for VNC and TNC images was rated by two radiologists and compared. Effective radiation doses for each acquisition were calculated. Results In both the phantom and clinical studies, we observed that the CNRs were similar between the VNC and TNC images. Moreover, both methods allowed differentiating the hyper-attenuation within the hematoma from the blood. Finally, we obtained equivalent high diagnostic confidence with both VNC and TNC images (VNC = 3.2 + 0.7, TNC = 3.1 + 0.7; p = 0.3). Finally, by suppressing TNC acquisition and using VNC, the mean effective dose reduction would be 40%. Conclusion DL-DECT offers similar performances with VNC and TNC images for IMH diagnosis without compromise in diagnostic image quality. Key Points Dual-layer dual-energy CT enables virtual non-contrast imaging from a contrast-enhanced acquisition. Virtual non-contrast imaging with dual-layer dual-energy CT reduces the number of acquisitions and radiation exposure in acute aortic syndrome imaging protocol. Dual-layer dual-energy CT has the potential to become a suitable imaging tool for acute aortic syndrome.
引用
收藏
页码:6762 / 6771
页数:10
相关论文
共 50 条
  • [31] Diagnostic accuracy of virtual non-contrast enhanced dual-energy CT for diagnosis of adrenal adenoma: A systematic review and meta-analysis
    Connolly, Michael J.
    McInnes, Matthew D. F.
    El-Khodary, Mohamed
    McGrath, Trevor A.
    Schieda, Nicola
    EUROPEAN RADIOLOGY, 2017, 27 (10) : 4324 - 4335
  • [32] Diagnostic accuracy of virtual non-contrast enhanced dual-energy CT for diagnosis of adrenal adenoma: A systematic review and meta-analysis
    Michael J. Connolly
    Matthew D. F. McInnes
    Mohamed El-Khodary
    Trevor A. McGrath
    Nicola Schieda
    European Radiology, 2017, 27 : 4324 - 4335
  • [33] Evaluation of Virtual Non-Contrast Images From a Novel Split-Filter Dual-Energy CT Technique
    Huang, J.
    Szczykutowicz, T.
    Bayouth, J.
    Miller, J.
    MEDICAL PHYSICS, 2016, 43 (06) : 3877 - 3877
  • [34] Can virtual non-contrast imaging replace true non-contrast imaging in multiphase scanning of the neck region?
    Al-Difaie, Zaid
    Scheepers, Max H. M. C.
    Bouvy, Nicole D.
    Engelen, Sanne
    Havekes, Bas
    Postma, Alida A.
    ACTA RADIOLOGICA OPEN, 2023, 12 (09)
  • [35] Accuracy of virtual non-contrast images with different algorithms in dual-energy computed tomography
    Takane, Yumi
    Sato, Kazuhiro
    Kageyama, Ryota
    Takano, Hirokazu
    Kayano, Shingo
    RADIOLOGICAL PHYSICS AND TECHNOLOGY, 2022, 15 (03) : 234 - 244
  • [36] Accuracy of virtual non-contrast images with different algorithms in dual-energy computed tomography
    Yumi Takane
    Kazuhiro Sato
    Ryota Kageyama
    Hirokazu Takano
    Shingo Kayano
    Radiological Physics and Technology, 2022, 15 : 234 - 244
  • [37] Virtual monoenergetic dual-energy CT reconstructions at 80 keV are optimal non-contrast CT technique for early stroke detection
    Dodig, Doris
    Kastelan, Zrinka Matana
    Bartolovic, Nina
    Jurkovic, Slaven
    Miletic, Damir
    Rumboldt, Zoran
    NEURORADIOLOGY JOURNAL, 2022, 35 (03): : 337 - 345
  • [38] Dual-Energy Computed Tomography in Stroke Imaging: Value of Virtual Non-Contrast Images for Detection of the Hyperdense Artery Sign
    Winklhofer, S.
    De Martini, V.
    Nern, Ch
    Blume, I.
    Wegener, S.
    Pangalu, A.
    Valavanis, A.
    Alkadhi, H.
    Guggenberger, R.
    SWISS MEDICAL WEEKLY, 2016, 146 : 172S - 173S
  • [39] Dual-layer spectral computed tomography: Virtual non-contrast in comparison to true non-contrast images
    Sauter, Andreas P.
    Muenzel, Daniela
    Dangelmaier, Julia
    Braren, Rickmer
    Pfeiffer, Franz
    Rummeny, Ernst J.
    Noel, Peter B.
    Fingerle, Alexander A.
    EUROPEAN JOURNAL OF RADIOLOGY, 2018, 104 : 108 - 114
  • [40] Added value of iodine-specific imaging and virtual non-contrast imaging for gastrointestinal assessment using dual-energy computed tomography
    Kocher, Madison R.
    Kovacs, Mark D.
    Stewart, William
    Flemming, Brian P.
    Hinen, Shaun
    Hardie, Andrew D.
    JOURNAL OF CLINICAL IMAGING SCIENCE, 2021, 11 : 1 - 8