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Objectives: The aim of this study was to evaluate the feasibility and accuracy of dual-layer spectral detector CT (SDCT) for the quantification of clinically encountered gadolinium concentrations.
Methods: The cardiac chamber of an anthropomorphic thoracic phantom was equipped with 14 tubular inserts containing different gadolinium concentrations, ranging from 0 to 26.3 mg/mL (0.0, 0.1, 0.2, 0.4, 0.5, 1.0, 2.0, 3.0, 4.0, 5.1, 10.6, 15.7, 20.7 and 26.3 mg/mL). Images were acquired using a novel 64-detector row SDCT system at 120 and 140 kVp. Acquisitions were repeated five times to assess reproducibility. Regions of interest (ROIs) were drawn on three slices per insert. A spectral plot was extracted for every ROI and mean attenuation profiles were fitted to known attenuation profiles of water and pure gadolinium using in-house-developed software to calculate gadolinium concentrations.
Results: At both 120 and 140 kVp, excellent correlations between scan repetitions and true and measured gadolinium concentrations were found (R > 0.99, P < 0.001; ICCs > 0.99, CI 0.99-1.00). Relative mean measurement errors stayed below 10% down to 2.0 mg/mL true gadolinium concentration at 120 kVp and below 5% down to 1.0 mg/mL true gadolinium concentration at 140 kVp.
Conclusion: SDCT allows for accurate quantification of gadolinium at both 120 and 140 kVp. Lowest measurement errors were found for 140 kVp acquisitions.
Key Points: • Gadolinium quantification may be useful in patients with contraindication to iodine. • Dual-layer spectral detector CT allows for overall accurate quantification of gadolinium. • Interscan variability of gadolinium quantification using SDCT material decomposition is excellent.
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http://dx.doi.org/10.1007/s00330-017-4737-8 | DOI Listing |
Skeletal Radiol
September 2025
Department of Radiology and Nuclear Medicine, University Medical Center Utrecht & Utrecht University, PO Box 85500, 3508 GA, Utrecht, the Netherlands.
Objectives: To evaluate whether dual-layer spectral computed tomography, compared with conventional CT, improves diagnostic accuracy for osteolytic vertebral metastases. Furthermore, to investigate the influence of dual-layer CT on the subjective visibility of metastases.
Materials And Methods: In this single-center retrospective study, consecutive patients with an untreated primary tumor who underwent dual-layer CT and either MRI or PET-CT as reference standard within 14 days were included.
World J Gastroenterol
August 2025
Department of Radiology, Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong 226001, Jiangsu Province, China.
Background: Accurate preoperative T staging is essential for determining optimal treatment strategies in colorectal cancer (CRC). Low-keV virtual monoenergetic images (VMIs) have been shown to enhance lesion conspicuity. This study aimed to assess the diagnostic value of dual-layer spectral computed tomography (CT)-derived VMIs, in combination with multiplanar reformation (MPR) and evaluation of peritumoral fat stranding (PFS), for improving the accuracy of T staging in CRC.
View Article and Find Full Text PDFEur Radiol
September 2025
Department of Radiology & Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Objectives: Reducing motion artifacts in coronary computed tomography angiography (CCTA) is essential for accurate coronary artery disease assessment. We evaluated the clinical performance of a motion-compensated reconstruction (MCR) using subjective image quality (SIQ) and interpretability of CCTA at varying heart rates (HR).
Materials And Methods: We retrospectively identified 150 patients, grouped by HR (≤ 60, 60-69, ≥ 70 bpm, n = 50 each), referred for prospective ECG-gated CCTA on a spectral dual-layer CT.
Eur J Radiol Open
December 2025
Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), 396 Tongfu road, Guangzhou, Guangdong Province 510220, China.
Background: This study aimed to compare the diagnostic performance of radiomic features derived from dual-layer spectral detector computed tomography (DLSCT) and a deep learning (DL) model applied to conventional CT images in the differentiation of osteoblastic bone metastases (OBM) from bone islands (BI).
Methods: This retrospective study included patients with osteogenic lesions who underwent DLSCT examinations between March 2023 and September 2023. We extracted first-order radiomic features (e.
Quant Imaging Med Surg
September 2025
Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Background: Computed tomography (CT) is the preferred imaging modality for evaluating adrenal lesions; however, the associated radiation exposure remains a significant concern. Dual-layer spectral detector CT (SDCT)-derived virtual noncontrast (VNC) images may reduce radiation exposure by eliminating dedicated noncontrast scans, yet their agreement with true noncontrast (TNC) imaging remains debated. This study aimed to quantitatively evaluate the agreement and image quality of VNC images [reconstructed from the arterial phase (VNCa) and portal venous phase (VNCp)] compared to TNC images in adrenal adenomas stratified by lipid content, and to assess the radiation dose reduction.
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