ArticleThe British journal of radiology2023
Comparison of true non-contrast and virtual non-contrast images in the characterization of renal lesions using detector-based spectral CT.
Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Spectral CT in renal cell carcinoma: the promising role of dual-energy and photon-counting techniques.Abdominal radiology (New York) · 2026Review
- The value of virtual non-contrast images derived from dual-energy spectral CT in the short-term efficacy assessment of hepatocellular carcinoma after TACE.European journal of radiology open · 2026Article
- Study on the combined application of selected virtual monoenergetic imaging, virtual non-contrast imaging, and adaptive statistical iterative reconstruction-V in head and neck CT angiography using 256-slice wide-body CT.Frontiers in medicine · 2026Article
- Comparison of Virtual Non-Contrast Images Generated by Spectral Detector Computed Tomography and Conventional Computed Tomography Images of Histologically Confirmed Hepatic Pathologies in 28 Dogs.Animals : an open access journal from MDPI · 2025Article
- Feasibility of replacing true non-contrast images with virtual non-contrast images in quantitative analysis of emphysema.Radiologie (Heidelberg, Germany) · 2025Article
- Spectral Differentiation of Hyperdense Non-Vascular and Vascular Renal Lesions Without Solid Components in Contrast-Enhanced Photon-Counting Detector CT Scans-A Pilot Study.Diagnostics (Basel, Switzerland) · 2025Article
- The impact of deep learning image reconstruction of spectral CTU virtual non contrast images for patients with renal stones.European journal of radiology open · 2024Article
- Incidental Indeterminate Renal Lesions: Distinguishing Non-Enhancing from Potential Enhancing Renal Lesions Using Iodine Quantification on Portal Venous Dual-Layer Spectral CT.Journal of personalized medicine · 2023Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesRenal 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.
methodsTwenty-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.
resultsSixteen 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.
conclusionsIn 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.
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