Contrast Media for Coronary CT Angiography: Should an Iso-osmolar Agent Be Used?

Schoepf, U. Joseph

doi:10.1148/radiol.2017172170

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…A relatively high and uniform contrast attenuation (>250 HU) of the coronary arteries is required to reliably assess the severity of coronary artery stenosis using coronary CT angiography. 17 The luminal CT attenuations of the aortic root in coronary CT angiography reported from recent studies are 400 to 500 HU. 14,[18][19][20] However, in cardiac CT, sometimes the contrast enhancement is not as good as expected because of deteriorated cardiac function.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, we conducted a phantom experiment to imitate coronary CT angiography in actual clinical practice. A relatively high and uniform contrast attenuation (>250 HU) of the coronary arteries is required to reliably assess the severity of coronary artery stenosis using coronary CT angiography 17 . The luminal CT attenuations of the aortic root in coronary CT angiography reported from recent studies are 400 to 500 HU 14,18–20 .…”

Section: Discussionmentioning

confidence: 99%

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In Vitro Study of the Precision and Accuracy of Measurement of the Vascular Inner Diameter on Computed Tomography Angiography Using Deep Learning Image Reconstruction: Comparison With Filtered Back Projection and Iterative Reconstruction

Suzuki¹,

Samejima

Harashima

et al. 2021

J Comput Assist Tomogr

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Objective: This study aimed to compare the performance of deep learning image reconstruction (DLIR) with that of standard filtered back projection (FBP) and adaptive statistical iterative reconstruction V (ASiR-V) for measurement of the vascular diameter on computed tomography (CT) angiography model. Methods:We used 6 vascular models of 3 wall thicknesses. We used DLIR, FBP, and ASiR-V for reconstruction, and compared the accuracy and precision of vascular diameter measurement, as well as the image noise, among the 3 reconstruction methods.Results: Image noise was in the order of FBP > ASiR-V > DLIR. The vascular diameters measured using DLIR and ASiR-V were comparable with, or significantly closer to, the actual diameter than those measured using FBP. The precision of the diameter measurement using DLIR was comparable with or significantly superior to that using FBP/ASiR-V.Conclusions: Use of DLIR, as compared with FBP or ASiR-V, for image reconstruction can improve the precision and accuracy of vascular diameter measurement.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

In Vitro Study of the Precision and Accuracy of Measurement of the Vascular Inner Diameter on Computed Tomography Angiography Using Deep Learning Image Reconstruction: Comparison With Filtered Back Projection and Iterative Reconstruction

Suzuki¹,

Samejima

Harashima

et al. 2021

J Comput Assist Tomogr

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“…The demand for homogeneous and high-vascular contrast enhancement is critical for CTA to provide an appropriate interpretation of abnormal vascular findings (1,2). Coronary artery enhancement at a CT attenuation above 250 Hounsfield units (HU) is suggested for evaluating atherosclerotic changes and stenosis in coronary CTA (3). Generally, vascular enhancement is determined by scanning acquisition and reconstruction parameters (scan duration, tube voltage, and tube current), patient-related factors (heart rate, body weight, and cardiac output), injection rate, and contrast media concentration (4)(5)(6).…”

Section: Introductionmentioning

confidence: 99%

Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction

Otgonbaatar

Ryu²,

Shin

et al. 2022

Acta Radiol

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Background The demand for homogeneous and higher vascular contrast enhancement is critical to provide an appropriate interpretation of abnormal vascular findings in coronary computed tomography angiography (CTA). Purpose To evaluate the effect of various contrast media concentrations (Iohexol-370, Iohexol-300, Iohexol-240) and image reconstructions (filtered back projection [FBP], hybrid iterative reconstruction [IR], and deep learning reconstruction [DLR]) on coronary CTA. Material and Methods A total of 63 patients referred for coronary CTA between July and October 2021 were enrolled in this prospective study, and they randomly received one of three contrast media. CTA images were reconstructed with FBP, hybrid IR, and DLR. The CT attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for all three images. The images were subjectively evaluated by two radiologists in terms of overall image quality, artifacts, image noise, and vessel wall delineation on a 5-point Likert scale. Results The application of DLR resulted in significantly lower image noise; higher CT attenuation, SNR, and CNR; and better subjective analysis among the three different concentrations of contrast media groups ( P < 0.001). There was no significant difference in the CT attenuation of the left ventricle ( P = 0.089) and coronary arteries ( P = 0.072) between hybrid IR at Iohexol-300 and DLR at Iohexol-240. Furthermore, application of DLR to the Iohexol-240 significantly improved SNR and CNR; it achieved higher subjective scores compared with hybrid IR at Iohexol-300 ( P < 0.001). Conclusion We suggest that using DLR with Iohexol-240 contrast media is preferable to hybrid IR with Iohexol-300 contrast media in coronary CTA.

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Contrast medium injection protocols for coronary CT angiography: should contrast medium volumes be tailored to body weight or body surface area?

Wang

Zhang

et al. 2020

Clinical Radiology

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Contrast Media for Coronary CT Angiography: Should an Iso-osmolar Agent Be Used?

Cited by 3 publications

References 5 publications

In Vitro Study of the Precision and Accuracy of Measurement of the Vascular Inner Diameter on Computed Tomography Angiography Using Deep Learning Image Reconstruction: Comparison With Filtered Back Projection and Iterative Reconstruction

In Vitro Study of the Precision and Accuracy of Measurement of the Vascular Inner Diameter on Computed Tomography Angiography Using Deep Learning Image Reconstruction: Comparison With Filtered Back Projection and Iterative Reconstruction

Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction

Contrast medium injection protocols for coronary CT angiography: should contrast medium volumes be tailored to body weight or body surface area?

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