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Abdominal vessel depiction on virtual triphasic spectral detector CT: initial clinical experience.
Lennartz, Simon; Laukamp, Kai Roman; Tandon, Yasmeen; Jordan, Michelle; Große Hokamp, Nils; Zopfs, David; Pennig, Lenhard; Obmann, Markus; Gilkeson, Robert C; Herrmann, Karin A; Ramaiya, Nikhil; Gupta, Amit.
Afiliação
  • Lennartz S; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Kerpener Straße, 62, 50937, Cologne, Germany.
  • Laukamp KR; Else Kröner Forschungskolleg Clonal Evolution in Cancer, University Hospital Cologne, Weyertal 115b, 50931, Cologne, Germany.
  • Tandon Y; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
  • Jordan M; Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Ave, Cleveland, OH, 44106, USA. kai.laukamp@uk-koeln.de.
  • Große Hokamp N; Department of Radiology, Case Western Reserve University, Cleveland, OH, USA. kai.laukamp@uk-koeln.de.
  • Zopfs D; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Kerpener Straße, 62, 50937, Cologne, Germany. kai.laukamp@uk-koeln.de.
  • Pennig L; Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.
  • Obmann M; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Kerpener Straße, 62, 50937, Cologne, Germany.
  • Gilkeson RC; Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
  • Herrmann KA; Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Ave, Cleveland, OH, 44106, USA.
  • Ramaiya N; Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.
  • Gupta A; Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Ave, Cleveland, OH, 44106, USA.
Abdom Radiol (NY) ; 46(7): 3501-3511, 2021 07.
Article em En | MEDLINE | ID: mdl-33715050
PURPOSE: To evaluate vessel assessment in virtual monoenergetic images (VMI40keV) and virtual-non-contrast images (VNC) derived from venous phase spectral detector computed tomography (SDCT) acquisitions in comparison to arterial phase and true non-contrast (TNC) images. METHODS: Triphasic abdominal SDCT was performed in 25 patients including TNC, arterial and venous phase. VMI40keV and VNC were reconstructed from the venous phase and compared to conventional arterial-phase images (CIart), TNC and conventional venous-phase images (CIven). Vessel contrast and virtual contrast removal were analyzed with region-of-interest-based measurements and in a qualitative assessment. RESULTS: Quantitative analysis revealed no significant attenuation differences between TNC and VNC in arterial vessels (p-range 0.07-0.47) except for the renal artery (p = 0.011). For venous vessels, significant differences between TNC and VNC were found for all veins (p < 0.001) except the inferior vena cava (p = 0.26), yet these differences remained within a 10 HU range in most patients. No significant attenuation differences were found between CIart/VMI40keV in arterial vessels (p-range 0.06-0.86). Contrast-to-noise ratio provided by VMI40keV and CIart was equivalent for all arterial vessels assessed (p-range 0.14-0.91). Qualitatively, VMI40keV showed similar enhancement of abdominal and pelvic arteries as CIart and VNC were rated comparable to TNC. CONCLUSION: Our study suggests that VNC and VMI40keV derived from single venous-phase SDCT offer comparable assessment of major abdominal vessels as provided by routine triphasic examinations, if no dynamic contrast information is required.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Abdome Tipo de estudo: Observational_studies / Qualitative_research Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Abdome Tipo de estudo: Observational_studies / Qualitative_research Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Estados Unidos