Publications by authors named "I Sechopoulos"

Background: The rapid advancement of medical technologies presents significant challenges for researchers and practitioners. While traditional clinical trials remain the gold standard, they are often limited by high costs, lengthy durations, and ethical constraints. In contrast, in-silico trials and digital twins have emerged not only as efficient and ethical alternatives but also as a complementary technology that can extend beyond classical trials to predict and design new strategies.

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Coronary CT angiography (CCTA) and dynamic stress CT myocardial perfusion (CT-MPI) are established modalities in the analysis of patients with chronic coronary syndromes. Their role in patients with suspected non-ST elevation myocardial infarction (NSTEMI) is unknown. CCTA with CT-MPI might assist in the triage of NSTEMI patients to the Cath lab.

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Background: In 4D dynamic contrast-enhanced dedicated breast computed tomography (4D DCE-bCT), the functional properties of the breast will be characterized by monitoring the uptake and washout of iodine-based contrast agents over time. This information could be valuable in breast cancer treatment. However, prior to clinical implementation, it is crucial to validate the quantitative estimates of iodine concentrations at each time point during acquisition.

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Article Synopsis
  • A new low-dose 3D localizer scan option for CT exams was introduced, prompting a comparison of radiation doses between this method and traditional 2D localizers, which involves different sampling geometries and radiation spectra.
  • A Monte Carlo simulation was developed to assess the organ and effective doses for various localizer acquisition techniques, including different combinations of 2D localizer styles and the new 3D method, validated through CTDI phantom measurements.
  • Results showed that the effective doses varied across methods, with the combined AP+LAT 2D localizer yielding the highest average effective dose, while the 3D localizer provided a lower dose than expected, indicating the importance of dose comparison in choosing CT techniques.
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Article Synopsis
  • The study aimed to see if the order in which mammograms are read, based on their characteristics, could help radiologists spot abnormalities more efficiently, particularly focusing on factors like breast density and visual adaptation.
  • A total of 150 mammograms were analyzed by 13 radiologists using three reading methods: random order, increasing volumetric breast density (VBD), and self-supervised learning (SSL) grouping.
  • Results indicated that readings organized by increasing VBD led to slightly better performance and reduced reading time compared to random order, without affecting sensitivity and specificity significantly.
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