Gadolinium-based coronary CT angiography on a clinical photon-counting-detector system: a dynamic circulating phantom study.


Journal

European radiology experimental
ISSN: 2509-9280
Titre abrégé: Eur Radiol Exp
Pays: England
ID NLM: 101721752

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 24 05 2024
accepted: 02 08 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 18 10 2024
Statut: epublish

Résumé

Coronary computed tomography angiography (CCTA) offers non-invasive diagnostics of the coronary arteries. Vessel evaluation requires the administration of intravenous contrast. The purpose of this study was to evaluate the utility of gadolinium-based contrast agent (GBCA) as an alternative to iodinated contrast for CCTA on a first-generation clinical dual-source photon-counting-detector (PCD)-CT system. A dynamic circulating phantom containing a three-dimensional-printed model of the thoracic aorta and the coronary arteries were used to evaluate injection protocols using gadopentetate dimeglumine at 50%, 100%, 150%, and 200% of the maximum approved clinical dose (0.3 mmol/kg). Virtual monoenergetic image (VMI) reconstructions ranging from 40 keV to 100 keV with 5 keV increments were generated on a PCD-CT. Contrast-to-noise ratio (CNR) was calculated from attenuations measured in the aorta and coronary arteries and noise measured in the background tissue. Attenuation of at least 350 HU was deemed as diagnostic. The highest coronary attenuation (441 ± 23 HU, mean ± standard deviation) and CNR (29.5 ± 1.5) was achieved at 40 keV and at the highest GBCA dose (200%). There was a systematic decline of attenuation and CNR with higher keV reconstructions and lower GBCA doses. Only reconstructions at 40 and 45 keV at 200% and 40 keV at 150% GBCA dose demonstrated sufficient attenuation above 350 HU. Current PCD-CT protocols and settings are unsuitable for the use of GBCA for CCTA at clinically approved doses. Future advances to the PCD-CT system including a 4-threshold mode, as well as multi-material decomposition may add new opportunities for k-edge imaging of GBCA. Patients allergic to iodine-based contrast media and the future of multicontrast CT examinations would benefit greatly from alternative contrast media, but the utility of GBCA for coronary photon-counting-dector-CT angiography remains limited without further optimization of protocols and scanner settings. GBCA-enhanced coronary PCD-CT angiography is not feasible at clinically approved doses. GBCAs have potential applications for the visualization of larger vessels, such as the aorta, on PCD-CT angiography. Higher GBCA doses and lower keV reconstructions achieved higher attenuation values and CNR.

Sections du résumé

BACKGROUND BACKGROUND
Coronary computed tomography angiography (CCTA) offers non-invasive diagnostics of the coronary arteries. Vessel evaluation requires the administration of intravenous contrast. The purpose of this study was to evaluate the utility of gadolinium-based contrast agent (GBCA) as an alternative to iodinated contrast for CCTA on a first-generation clinical dual-source photon-counting-detector (PCD)-CT system.
METHODS METHODS
A dynamic circulating phantom containing a three-dimensional-printed model of the thoracic aorta and the coronary arteries were used to evaluate injection protocols using gadopentetate dimeglumine at 50%, 100%, 150%, and 200% of the maximum approved clinical dose (0.3 mmol/kg). Virtual monoenergetic image (VMI) reconstructions ranging from 40 keV to 100 keV with 5 keV increments were generated on a PCD-CT. Contrast-to-noise ratio (CNR) was calculated from attenuations measured in the aorta and coronary arteries and noise measured in the background tissue. Attenuation of at least 350 HU was deemed as diagnostic.
RESULTS RESULTS
The highest coronary attenuation (441 ± 23 HU, mean ± standard deviation) and CNR (29.5 ± 1.5) was achieved at 40 keV and at the highest GBCA dose (200%). There was a systematic decline of attenuation and CNR with higher keV reconstructions and lower GBCA doses. Only reconstructions at 40 and 45 keV at 200% and 40 keV at 150% GBCA dose demonstrated sufficient attenuation above 350 HU.
CONCLUSION CONCLUSIONS
Current PCD-CT protocols and settings are unsuitable for the use of GBCA for CCTA at clinically approved doses. Future advances to the PCD-CT system including a 4-threshold mode, as well as multi-material decomposition may add new opportunities for k-edge imaging of GBCA.
RELEVANCE STATEMENT CONCLUSIONS
Patients allergic to iodine-based contrast media and the future of multicontrast CT examinations would benefit greatly from alternative contrast media, but the utility of GBCA for coronary photon-counting-dector-CT angiography remains limited without further optimization of protocols and scanner settings.
KEY POINTS CONCLUSIONS
GBCA-enhanced coronary PCD-CT angiography is not feasible at clinically approved doses. GBCAs have potential applications for the visualization of larger vessels, such as the aorta, on PCD-CT angiography. Higher GBCA doses and lower keV reconstructions achieved higher attenuation values and CNR.

Identifiants

pubmed: 39422839
doi: 10.1186/s41747-024-00501-w
pii: 10.1186/s41747-024-00501-w
doi:

Substances chimiques

Contrast Media 0
Gadolinium DTPA K2I13DR72L

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

118

Informations de copyright

© 2024. The Author(s).

Références

Virani SS, Newby LK, Arnold SV et al (2023) AHA/ACC/ACCP/ASPC/NLA/PCNA guideline for the management of patients with chronic coronary disease: a report of the American Heart Association/American College of Cardiology Joint Committee on clinical practice guidelines. Circulation 148:E9–E119. https://doi.org/10.1161/CIR.0000000000001168
doi: 10.1161/CIR.0000000000001168 pubmed: 37471501
Visseren F, Mach F, Smulders YM et al (2021) ESC guidelines on cardiovascular disease prevention in clinical practice: developed by the task force for cardiovascular disease prevention in clinical practice with representatives of the European Society of Cardiology and 12 medical societies With the special contribution of the European Association of Preventive Cardiology (EAPC). Eur Heart J 42:3227–3337. https://doi.org/10.1093/EURHEARTJ/EHAB484
doi: 10.1093/EURHEARTJ/EHAB484 pubmed: 34458905
Gulati M, Levy PD, Mukherjee D et al (2021) 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/ SCMR guideline for the evaluation and diagnosis of chest pain: executive summary: a report of the American College of Cardiology/American Heart Association Joint Committee on clinical practice guidelines. Circulation 144:E336–E367
van der Molen AJ, Reimer P, Dekkers IA et al (2018) Post-contrast acute kidney injury—part 1: definition, clinical features, incidence, role of contrast medium and risk factors: recommendations for updated ESUR Contrast Medium Safety Committee guidelines. Eur Radiol 28:2845–2855. https://doi.org/10.1007/s00330-017-5246-5
doi: 10.1007/s00330-017-5246-5 pubmed: 29426991 pmcid: 5986826
Symons R, Krauss B, Sahbaee P et al (2017) Photon-counting CT for simultaneous imaging of multiple contrast agents in the abdomen: an in vivo study. Med Phys 44:5120–5127. https://doi.org/10.1002/mp.12301
doi: 10.1002/mp.12301 pubmed: 28444761 pmcid: 5699215
Gierada DS, Bae K (1999) Gadolinium as a CT contrast agent: assessment in a porcine model. Radiology 210:829–834. https://doi.org/10.1148/RADIOLOGY.210.3.R99MR06829
doi: 10.1148/RADIOLOGY.210.3.R99MR06829 pubmed: 10207488
Bongers MN, Schabel C, Krauss B et al (2017) Potential of gadolinium as contrast material in second generation dual energy computed tomography—an ex vivo phantom study. Clin Imaging 43:74–79. https://doi.org/10.1016/j.clinimag.2017.02.005
doi: 10.1016/j.clinimag.2017.02.005 pubmed: 28273652
Nogel SJ, Ren L, Yu L et al (2021) Feasibility of dual-energy computed tomography imaging of gadolinium-based contrast agents and its application in computed tomography cystography: an exploratory study to assess an alternative option when iodinated contrast agents are contraindicated. J Comput Assist Tomogr 45:691–695. https://doi.org/10.1097/RCT.0000000000001208
doi: 10.1097/RCT.0000000000001208 pubmed: 34407061
Xie A, Sun Wjie, Zeng Yfeng et al (2022) Gadolinium enhances dual-energy computed tomography scan of pulmonary artery. Curr Med Sci 42:1310–1318. https://doi.org/10.1007/s11596-022-2621-5
doi: 10.1007/s11596-022-2621-5 pubmed: 36190598
Willemink MJ, Persson M, Pourmorteza A et al (2018) Photon-counting CT: technical principles and clinical prospects. Radiology 289:293–312. https://doi.org/10.1148/radiol.2018172656
doi: 10.1148/radiol.2018172656 pubmed: 30179101
Sandfort V, Persson M, Pourmorteza A et al (2021) Spectral photon-counting CT in cardiovascular imaging. J Cardiovasc Comput Tomogr 15:218–225. https://doi.org/10.1016/J.JCCT.2020.12.005
doi: 10.1016/J.JCCT.2020.12.005 pubmed: 33358186
Jost G, McDermott M, Gutjahr R et al (2023) New contrast media for K-edge imaging with photon-counting detector CT. Invest Radiol 58:515–522. https://doi.org/10.1097/RLI.0000000000000978
pubmed: 37068840 pmcid: 10259215
Taguchi K, Iwanczyk JS (2013) Vision 20/20: single photon counting x-ray detectors in medical imaging. Med Phys 40:100901. https://doi.org/10.1118/1.4820371
doi: 10.1118/1.4820371 pubmed: 24089889 pmcid: 3786515
D’Angelo T, Cicero G, Mazziotti S et al (2019) Dual energy computed tomography virtual monoenergetic imaging: technique and clinical applications. Br J Radiol 92:20180546. https://doi.org/10.1259/BJR.20180546
doi: 10.1259/BJR.20180546 pubmed: 30919651 pmcid: 6592074
Emrich T, O’Doherty J, Schoepf UJ et al (2023) Reduced iodinated contrast media administration in coronary CT angiography on a clinical photon-counting detector CT system: a phantom study using a dynamic circulation model. Invest Radiol 58:148–155. https://doi.org/10.1097/RLI.0000000000000911
doi: 10.1097/RLI.0000000000000911 pubmed: 36165932
Bayer (2024) Magnevist package insert. Bayer website. https://www.bayer.com/sites/default/files/MAGNEVIST_EN_PI.pdf . Accessed 12 Apr 2024
Sartoretti T, Landsmann A, Nakhostin D et al (2022) Quantum iterative reconstruction for abdominal photon-counting detector CT improves image quality. Radiology 303:339–348. https://doi.org/10.1148/RADIOL.211931
doi: 10.1148/RADIOL.211931 pubmed: 35103540
De Santis D, Caruso D, Schoepf UJ et al (2018) Contrast media injection protocol optimization for dual-energy coronary CT angiography: results from a circulation phantom. Eur Radiol 28:3473–3481. https://doi.org/10.1007/s00330-018-5308-3
doi: 10.1007/s00330-018-5308-3 pubmed: 29488083
Oda S, Utsunomiya D, Nakaura T et al (2018) Basic concepts of contrast injection protocols for coronary computed tomography angiography. Curr Cardiol Rev 15:24–29. https://doi.org/10.2174/1573403x14666180918102031
doi: 10.2174/1573403x14666180918102031
Nadolski GJ, Stavropoulos SW (2013) Contrast alternatives for iodinated contrast allergy and renal dysfunction: options and limitations. J Vasc Surg 57:593–598. https://doi.org/10.1016/J.JVS.2012.10.009
doi: 10.1016/J.JVS.2012.10.009 pubmed: 23246079
Michaely HJ, Aschauer M, Deutschmann H et al (2017) Gadobutrol in renally impaired patients: results of the GRIP study. Invest Radiol 52:55–60. https://doi.org/10.1097/RLI.0000000000000307
doi: 10.1097/RLI.0000000000000307 pubmed: 27529464
Thomas JV, Bolus DN, Jackson BE et al (2016) Gadoxetate disodium enhanced spectral dual-energy CT for evaluation of cholangiocarcinoma: preliminary data. Ann Med Surg 6:17–22. https://doi.org/10.1016/j.amsu.2016.01.001
doi: 10.1016/j.amsu.2016.01.001
Nyman U, Elmståhl B, Leander P et al (2002) Are gadolinium-based contrast media really safer than iodinated media for digital subtraction angiography in patients with azotemia? Radiology 223:311–318. https://doi.org/10.1148/RADIOL.2232010221
doi: 10.1148/RADIOL.2232010221 pubmed: 11997530
O’Doherty J, Schleyer P (2017) An experimental phantom study of the effect of gadolinium-based MR contrast agents on PET attenuation coefficients and PET quantification in PET-MR imaging: application to cardiac studies. EJNMMI Phys 4:1–10. https://doi.org/10.1186/S40658-017-0173-8
doi: 10.1186/S40658-017-0173-8
Baubeta E, Laurin Gadsböll E, Will L et al (2024) No gadolinium K-edge detected on the first clinical photon-counting computed tomography scanner. J Appl Clin Med Phys. https://doi.org/10.1002/acm2.14324
Meng B, Cong W, Xi Y et al (2016) Energy window optimization for X-ray K-edge tomographic imaging. IEEE Trans Biomed Eng 63:1623. https://doi.org/10.1109/TBME.2015.2413816
doi: 10.1109/TBME.2015.2413816 pubmed: 25794386
Nadjiri J, Pfeiffer D, Straeter AS et al (2018) Spectral computed tomography angiography with a gadolinium-based contrast agent: first clinical imaging results in cardiovascular applications. J Thorac Imaging 33:246–253. https://doi.org/10.1097/RTI.0000000000000335
doi: 10.1097/RTI.0000000000000335 pubmed: 29863589
Graf M, Gassert FG, Marka AW et al (2024) Spectral computed tomography angiography using a gadolinium-based contrast agent for imaging of pathologies of the aorta. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-024-03074-2
Sülzle D, Bauser M, Frenzel T et al (2015) New tungsten cluster based contrast agents for X-ray computed tomography. J Clust Sci 26:111–118. https://doi.org/10.1007/S10876-014-0786-1
doi: 10.1007/S10876-014-0786-1
Symons R, Cork TE, Lakshmanan MN et al (2017) Dual-contrast agent photon-counting computed tomography of the heart: initial experience. Int J Cardiova Imaging 33:1253–1261. https://doi.org/10.1007/S10554-017-1104-4
doi: 10.1007/S10554-017-1104-4
Ren L, Huber N, Rajendran K et al (2022) Dual-contrast biphasic liver imaging with iodine and gadolinium using photon-counting detector computed tomography: an exploratory animal study. Invest Radiol 57:122–129. https://doi.org/10.1097/RLI.0000000000000815

Auteurs

Dmitrij Kravchenko (D)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany.

Chiara Gnasso (C)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.

U Joseph Schoepf (UJ)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Milan Vecsey-Nagy (M)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Giuseppe Tremamunno (G)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome-Radiology Unit-Sant'Andrea University Hospital, Rome, Italy.

Jim O'Doherty (J)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Siemens Medical Solutions USA Inc, Malvern, PA, USA.

Andrew Zhang (A)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Julian A Luetkens (JA)

Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany.

Daniel Kuetting (D)

Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany.

Ulrike Attenberger (U)

Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.

Bernhard Schmidt (B)

Siemens Medical Solutions, Forchheim, Germany.

Akos Varga-Szemes (A)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Tilman Emrich (T)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. tilman.emrich@unimedizin-mainz.de.
Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany. tilman.emrich@unimedizin-mainz.de.
German Centre for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany. tilman.emrich@unimedizin-mainz.de.

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