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Impact of reconstruction parameters on the accuracy of myocardial extracellular volume quantification on a first-generation, photon-counting detector CT

  • Chiara Gnasso
  • , Daniel Pinos
  • , U. Joseph Schoepf
  • , Milan Vecsey-Nagy
  • , Gilberto J. Aquino
  • , Nicola Fink
  • , Emese Zsarnoczay
  • , Robert J. Holtackers
  • , Jonathan Stock
  • , Pal Suranyi
  • , Akos Varga-Szemes
  • , Tilman Emrich*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background The potential role of cardiac computed tomography (CT) has increasingly been demonstrated for the assessment of diffuse myocardial fibrosis through the quantification of extracellular volume (ECV). Photon-counting detector (PCD)-CT technology may deliver more accurate ECV quantification compared to energy-integrating detector CT. We evaluated the impact of reconstruction settings on the accuracy of ECV quantification using PCD-CT, with magnetic resonance imaging (MRI)-based ECV as reference.Methods In this post hoc analysis, 27 patients (aged 53.1 +/- 17.2 years (mean +/- standard deviation); 14 women) underwent same-day cardiac PCD-CT and MRI. Late iodine CT scans were reconstructed with different quantum iterative reconstruction levels (QIR 1-4), slice thicknesses (0.4-8 mm), and virtual monoenergetic imaging levels (VMI, 40-90 keV); ECV was quantified for each reconstruction setting. Repeated measures ANOVA and t-test for pairwise comparisons, Bland-Altman plots, and Lin's concordance correlation coefficient (CCC) were used.Results ECV values did not differ significantly among QIR levels (p = 1.000). A significant difference was observed throughout different slice thicknesses, with 0.4 mm yielding the highest agreement with MRI-based ECV (CCC = 0.944); 45-keV VMI reconstructions showed the lowest mean bias (0.6, 95% confidence interval 0.1-1.4) compared to MRI. Using the most optimal reconstruction settings (QIR4. slice thickness 0.4 mm, VMI 45 keV), a 63% reduction in mean bias and a 6% increase in concordance with MRI-based ECV were achieved compared to standard settings (QIR3, slice thickness 1.5 mm; VMI 65 keV).Conclusions The selection of appropriate reconstruction parameters improved the agreement between PCD-CT and MRI-based ECV.Relevance statement Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility.Key points center dot CT is increasingly promising for myocardial tissue characterization, assessing focal and diffuse fibrosis via late iodine enhancement and ECV quantification, respectively. center dot PCD-CT offers superior performance over conventional CT, potentially improving ECV quantification and its agreement with MRI-based ECV. center dot Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility.Key points center dot CT is increasingly promising for myocardial tissue characterization, assessing focal and diffuse fibrosis via late iodine enhancement and ECV quantification, respectively. center dot PCD-CT offers superior performance over conventional CT, potentially improving ECV quantification and its agreement with MRI-based ECV. center dot Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility.Key points center dot CT is increasingly promising for myocardial tissue characterization, assessing focal and diffuse fibrosis via late iodine enhancement and ECV quantification, respectively. center dot PCD-CT offers superior performance over conventional CT, potentially improving ECV quantification and its agreement with MRI-based ECV. center dot Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility.
Original languageEnglish
Article number70
Number of pages10
JournalEuropean Radiology Experimental
Volume8
Issue number1
DOIs
Publication statusPublished - 19 Jun 2024

Keywords

  • Fibrosis
  • Magnetic resonance imaging
  • Myocardium
  • Tomography (x-ray computed)
  • MULTIDETECTOR COMPUTED-TOMOGRAPHY
  • VIRTUAL MONOENERGETIC IMAGES
  • TO-NOISE RATIO
  • CARDIAC CT
  • FRACTION
  • RESOLUTION
  • FIBROSIS
  • HEART

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