SwePub
Sök i LIBRIS databas

  Extended search

id:"swepub:oai:DiVA.org:liu-200774"
 

Search: id:"swepub:oai:DiVA.org:liu-200774" > Comparison of true ...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Comparison of true non-contrast and virtual noncontrast images in the characterization of renal lesions using detector-based spectral CT

Verstraeten, Sabine (author)
Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands; Department of Medical Physics, Bravis Hospital, Roosendaal, Netherlands
Ansems, Janneke (author)
Department of Medical Physics, Bravis Hospital, Roosendaal, Netherlands
Van Ommen, Wenzel (author)
Department of Radiology, Bravis Hospital, Roosendaal, Netherlands
show more...
Van Der Linden, Diana (author)
Department of Radiology, Bravis Hospital, Roosendaal, Netherlands
Looijmans, Frank (author)
Department of Radiology, Bravis Hospital, Roosendaal, Netherlands
Tesselaar, Erik, 1977- (author)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Medicinsk strålningsfysik,Department of Radiology, Bravis Hospital, Roosendaal, Netherlands
show less...
 (creator_code:org_t)
British Institute of Radiology, 2023
2023
English.
In: British Journal of Radiology. - : British Institute of Radiology. - 0007-1285 .- 1748-880X. ; 96:1149
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Objectives: Renal lesions are sometimes incidentally detected during computed tomography (CT) examinations in which an unenhanced series is not included, preventing the lesions from being fully characterized. The aim of this study was to investigate the feasibility to use virtual non-contrast (VNC) images, acquired using a detector-based dual-energy CT, for the characterization of renal lesions. Methods: Twenty-seven patients (12 women) underwent a renal CT scan, including a non-contrast, an arterial, and a venous phase contrast-enhanced series, using a detector-based dual-energy CT scanner. VNC images were reconstructed from the venous contrast-enhanced series. The mean attenuation values of 65 renal lesions in both the VNC and true non-contrast (TNC) images were measured and compared quantitatively. Three radiologists blindly assessed all lesions using either VNC or TNC images in combination with contrast-enhanced images. Results: Sixteen patients had cystic lesions, five had angiomyolipoma (AML), and six had suspected renal cell carcinomas (RCC). Attenuation values in VNC and TNC images were strongly correlated (ρ = 0.7, mean difference −6.0 ± 13 HU). The largest differences were found for unenhanced high-attenuation lesions. Radiologists classified 86% of the lesions correctly using VNC images. Conclusions: In 70% of the patients, incidentally detected renal lesions could be accurately characterized using VNC images, resulting in less patient burden and a reduction in radiation exposure. Advances in knowledge: This study shows that renal lesions can be accurately characterized using VNC images acquired by detector-based dual-energy CT, which is in agreement with previous studies using dual-source and rapid X-ray tube potential switching technique. © 2023 The Authors.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

Carcinoma
Renal Cell; Contrast Media; Female; Humans; Kidney; Kidney Neoplasms; Radiography
Dual-Energy Scanned Projection; Retrospective Studies; Tomography
X-Ray Computed; Veins; contrast medium; adult; angiomyolipoma; Article; cancer patient; clinical article; computer assisted tomography; contrast enhancement; controlled study; data analysis; dual energy computed tomography; feasibility study; female; human; image analysis; information processing; iterative reconstruction; kidney injury; quantitative analysis; radiation exposure; renal cell carcinoma; sensitivity and specificity; x-ray computed tomography; diagnostic imaging; kidney; kidney tumor; procedures; radiography; renal cell carcinoma; retrospective study; vein

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view