Technical Development in Cardiac CT: Current Standards and Future Improvements-a Narrative Review

Overview

Journal Cardiovasc Diagn Ther

Publisher AME Publishing Company

Specialty Cardiology & Vascular Diseases

Date 2020 Dec 31

PMID 33381441

Citations 11

Authors

Patrizia Toia

Ludovico La Grutta

Giulia Sollami

Alberto Clemente

Cesare Gagliardo

Massimo Galia

Erica Maffei

Massimo Midiri

Filippo Cademartiri

Affiliations

Soon will be listed here.

Abstract

Non-invasive depiction of coronary arteries has been a great challenge for imaging specialists since the introduction of computed tomography (CT). Technological development together with improvements in spatial, temporal, and contrast resolution, progressively allowed implementation of the current clinical role of the CT assessment of coronary arteries. Several technological evolutions including hardware and software solutions of CT scanners have been developed to improve spatial and temporal resolution. The main challenges of cardiac computed tomography (CCT) are currently plaque characterization, functional assessment of stenosis and radiation dose reduction. In this review, we will discuss current standards and future improvements in CCT.

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References

Abada H, Larchez C, Daoud B, Sigal-Cinqualbre A, Paul J . MDCT of the coronary arteries: feasibility of low-dose CT with ECG-pulsed tube current modulation to reduce radiation dose. AJR Am J Roentgenol. 2006; 186(6 Suppl 2):S387-90. DOI: 10.2214/AJR.05.0216. View

Taylor C, Fonte T, Min J . Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis. J Am Coll Cardiol. 2013; 61(22):2233-41. DOI: 10.1016/j.jacc.2012.11.083. View

Machida H, Tanaka I, Fukui R, Shen Y, Ishikawa T, Tate E . Current and Novel Imaging Techniques in Coronary CT. Radiographics. 2015; 35(4):991-1010. DOI: 10.1148/rg.2015140181. View

Seitun S, De Lorenzi C, Cademartiri F, Buscaglia A, Travaglio N, Balbi M . CT Myocardial Perfusion Imaging: A New Frontier in Cardiac Imaging. Biomed Res Int. 2018; 2018:7295460. PMC: 6204157. DOI: 10.1155/2018/7295460. View

Pathan F, Hecht H, Narula J, Marwick T . Roles of Transesophageal Echocardiography and Cardiac Computed Tomography for Evaluation of Left Atrial Thrombus and Associated Pathology: A Review and Critical Analysis. JACC Cardiovasc Imaging. 2018; 11(4):616-627. DOI: 10.1016/j.jcmg.2017.12.019. View

Leng S, Bruesewitz M, Tao S, Rajendran K, Halaweish A, Campeau N . Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology. Radiographics. 2019; 39(3):729-743. PMC: 6542627. DOI: 10.1148/rg.2019180115. View

Onishi H, Hori M, Ota T, Nakamoto A, Osuga K, Tatsumi M . Phantom Study of In-Stent Restenosis at High-Spatial-Resolution CT. Radiology. 2018; 289(1):255-260. DOI: 10.1148/radiol.2018180188. View

Wang J, Fleischmann D . Improving Spatial Resolution at CT: Development, Benefits, and Pitfalls. Radiology. 2018; 289(1):261-262. DOI: 10.1148/radiol.2018181156. View

Mahesh M, Cody D . Physics of cardiac imaging with multiple-row detector CT. Radiographics. 2007; 27(5):1495-509. DOI: 10.1148/rg.275075045. View

10.

Flohr T, Stierstorfer K, Suss C, Schmidt B, Primak A, McCollough C . Novel ultrahigh resolution data acquisition and image reconstruction for multi-detector row CT. Med Phys. 2007; 34(5):1712-23. DOI: 10.1118/1.2722872. View

11.

Romero J, Husain S, Kelesidis I, Sanz J, Medina H, Garcia M . Detection of left atrial appendage thrombus by cardiac computed tomography in patients with atrial fibrillation: a meta-analysis. Circ Cardiovasc Imaging. 2013; 6(2):185-94. DOI: 10.1161/CIRCIMAGING.112.000153. View

12.

Nakamura Y, Higaki T, Tatsugami F, Honda Y, Narita K, Akagi M . Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality. J Comput Assist Tomogr. 2019; 44(2):161-167. DOI: 10.1097/RCT.0000000000000928. View

13.

Chaikriangkrai K, Choi S, Nabi F, Chang S . Important advances in technology and unique applications to cardiovascular computed tomography. Methodist Debakey Cardiovasc J. 2015; 10(3):152-8. PMC: 4280239. DOI: 10.14797/mdcj-10-3-152. View

14.

Willemink M, de Jong P, Leiner T, de Heer L, Nievelstein R, Budde R . Iterative reconstruction techniques for computed tomography Part 1: technical principles. Eur Radiol. 2013; 23(6):1623-31. DOI: 10.1007/s00330-012-2765-y. View

15.

Norgaard B, Leipsic J, Gaur S, Seneviratne S, Ko B, Ito H . Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol. 2014; 63(12):1145-1155. DOI: 10.1016/j.jacc.2013.11.043. View

16.

Militello C, Rundo L, Toia P, Conti V, Russo G, Filorizzo C . A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans. Comput Biol Med. 2019; 114:103424. DOI: 10.1016/j.compbiomed.2019.103424. View

17.

Francone M, Budde R, Bremerich J, Dacher J, Loewe C, Wolf F . CT and MR imaging prior to transcatheter aortic valve implantation: standardisation of scanning protocols, measurements and reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR). Eur Radiol. 2019; 30(5):2627-2650. PMC: 7160220. DOI: 10.1007/s00330-019-06357-8. View

18.

Cademartiri F, Runza G, La Grutta L, Palumbo A, Mollet N, Brambilla L . Non-invasive evaluation of coronary calcium. Radiol Med. 2006; 110(5-6):506-22. View

19.

Flohr T, Bruder H, Stierstorfer K, Petersilka M, Schmidt B, McCollough C . Image reconstruction and image quality evaluation for a dual source CT scanner. Med Phys. 2009; 35(12):5882-97. PMC: 4109745. DOI: 10.1118/1.3020756. View

20.

Maffei E, Martini C, De Crescenzo S, Arcadi T, Clemente A, Capuano E . Low dose CT of the heart: a quantum leap into a new era of cardiovascular imaging. Radiol Med. 2010; 115(8):1179-207. DOI: 10.1007/s11547-010-0566-4. View