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

Authors: Chiara Gnasso; Daniel Pinos; U. Joseph Schoepf; Milan Vecsey-Nagy; Gilberto J. Aquino; Nicola Fink; Emese Zsarnoczay; +5 Authors

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

Abstract

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 • CT is increasingly promising for myocardial tissue characterization, assessing focal and diffuse fibrosis via late iodine enhancement and ECV quantification, respectively. • PCD-CT offers superior performance over conventional CT, potentially improving ECV quantification and its agreement with MRI-based ECV. • Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility. Graphical Abstract

Keywords

Male, Adult, VIRTUAL MONOENERGETIC IMAGES, R895-920, 610 Medizin, 610, Tomography (x-ray computed), FRACTION, Medical physics. Medical radiology. Nuclear medicine, Magnetic resonance imaging, Female [MeSH] ; Aged [MeSH] ; Adult [MeSH] ; Heart/diagnostic imaging [MeSH] ; Humans [MeSH] ; Tomography (x-ray computed) ; Middle Aged [MeSH] ; Tomography, X-Ray Computed/methods [MeSH] ; Fibrosis ; Myocardium/pathology [MeSH] ; Myocardium ; Image Processing, Computer-Assisted/methods [MeSH] ; Original Article ; Photons [MeSH] ; Male [MeSH] ; Magnetic resonance imaging ; Magnetic Resonance Imaging/methods [MeSH], 610 Medical sciences, TO-NOISE RATIO, Image Processing, Computer-Assisted, FIBROSIS, Humans, Aged, ddc:610, Photons, Myocardium, Heart, Middle Aged, Fibrosis, Magnetic Resonance Imaging, RESOLUTION, HEART, MULTIDETECTOR COMPUTED-TOMOGRAPHY, Original Article, Female, Tomography, X-Ray Computed, CARDIAC CT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold