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01.01.2015 | Cardiac

Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation

verfasst von: Akira Kurata, Atsushi Kono, Tsuyoshi Sakamoto, Teruhito Kido, Teruhito Mochizuki, Hiroshi Higashino, Mitsunori Abe, Adriaan Coenen, Raluca G. Saru-Chelu, Pim J. de Feyter, Gabriel P. Krestin, Koen Nieman

Erschienen in: European Radiology | Ausgabe 1/2015

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Abstract

Objectives

The purpose of this study was to estimate the myocardial area at risk (MAAR) using coronary computed tomography angiography (CTA) and Voronoi algorithm-based myocardial segmentation in comparison with single-photon emission computed tomography (SPECT).

Methods

Thirty-four patients with coronary artery disease underwent 128-slice coronary CTA, stress/rest thallium-201 SPECT, and coronary angiography (CAG). CTA-based MAAR was defined as the sum of all CAG stenosis (>50 %) related territories (the ratio of the left ventricular volume). Using automated quantification software (17-segment model, 5-point scale), SPECT-based MAAR was defined as the number of segments with a score above zero as compared to the total 17 segments by summed stress score (SSS), difference (SDS) score map, and comprehensive SPECT interpretation with either SSS or SDS best correlating CAG findings (SSS/SDS). Results were compared using Pearson's correlation coefficient.

Results

Forty-nine stenoses were observed in 102 major coronary territories. Mean value of CTA-based MAAR was 28.3 ± 14.0 %. SSS-based, SDS-based, and SSS/SDS-based MAAR was 30.1 ± 6.1 %, 20.1 ± 15.8 %, and 26.8 ± 15.7 %, respectively. CTA-based MAAR was significantly related to SPECT-based MAAR (r = 0.531 for SSS; r = 0.494 for SDS; r = 0.814 for SSS/SDS; P < 0.05 in each).

Conclusions

CTA-based Voronoi algorithm myocardial segmentation reliably quantifies SPECT-based MAAR.

Key points

• Voronoi algorithm allows for three-dimensional myocardial segmentation of coronary CT angiography

• Stenosis-related CT myocardial territories correlate to SPECT based area at risk

• CT angiography myocardial segmentation may assist in clinical decision-making

Hachamovitch R, Hayes SW, Friedman JD, Cohen I, Berman DS (2003) Comparison of the short-term survival benefit associated with revascularization compared with medical therapy in patients with no prior coronary artery disease undergoing stress myocardial perfusion single photon emission computed tomography. Circulation 107:2900–2907PubMedCrossRef

Di Carli MF, Murthy VL (2011) Cardiac PET/CT for the evaluation of known or suspected coronary artery disease. Radiographics 31:1239–1254PubMedCentralPubMedCrossRef

Gould KL, Johnson NP, Bateman TM et al (2013) Anatomic versus physiologic assessment of coronary artery disease: role of coronary flow reserve, fractional flow reserve, and positron emission tomography imaging in revascularization decision-making. J Am Coll Cardiol 62:1639–1653PubMedCrossRef

Ishida N, Sakuma H, Motoyasu M et al (2003) Noninfarcted myocardium: correlation between dynamic first-pass contrast-enhanced myocardial MR imaging and quantitative coronary angiography. Radiology 229:209–216PubMedCrossRef

Schwitter J, Wacker CM, van Rossum AC et al (2008) MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial. Eur Heart J 2:480–489CrossRef

Voigt JU, Exner B, Schmiedehausen K, et al. Strain-rate imaging during dobutamine stress echocardiography provides objective evidence of inducible ischemia. Circulation 107:2120–2126

Nakajima K, Matsuo S, Okuda K, Wakabayashi H, Tsukamoto K, Nishimura T (2011) Estimation of cardiac event risk by gated myocardial perfusion imaging and quantitative scoring methods based on a multicenter J-ACCESS database. Circ J 75:2417–2423PubMedCrossRef

Nakajima K, Nishimura T (2012) Cardiovascular events in Japan. Lessons from the J-ACCESS multicenter prognostic study using myocardial perfusion imaging. Circ J 76:1313–1321PubMedCrossRef

Nakata T, Hashimoto A, Matsuki T, Yoshinaga K, Tsukamoto K, Tamaki N (2013) Prognostic value of automated SPECT scoring system for coronary artery disease in stress myocardial perfusion and fatty acid metabolism imaging. Int J Cardiovasc Imaging 29:253–262PubMedCentralPubMedCrossRef

10.

Zellweger MJ, Hachamovitch R, Kang X et al (2009) Threshold, incidence, and predictors of prognostically high-risk silent ischemia in asymptomatic patients without prior diagnosis of coronary artery disease. J Nucl Cardiol 16:193–200PubMedCrossRef

11.

Min JK, Dunning A, Lin FY et al (2011) Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease. J Am Coll Cardiol 58:849–860PubMedCrossRef

12.

Motoyama S, Sarai M, Harigaya H et al (2009) Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol 54:49–57PubMedCrossRef

13.

Rispler S, Keidar Z, Ghersin E et al (2007) Integrated single-photon emission computed tomography and computed tomography coronary angiography for the assessment of hemodynamically significant coronary artery lesions. J Am Coll Cardiol 49:1059–1067PubMedCrossRef

14.

Matsuo S, Nakajima K, Akhter N et al (2009) Clinical usefulness of novel cardiac MDCT/SPECT fusion image. Ann Nucl Med 23:579–586PubMedCrossRef

15.

Guibas L, Stolfi J (1985) Primitives for the manipulation of general subdivisions and the computations of Voronoi diagrams. ACM Trans Graph 4:74–123CrossRef

16.

Debarba HG, Zanchet DJ, Fracaro D, Maciel A, Kalil AN (2010) Efficient liver surgery planning in 3-D based on functional segment classification and volumetric information. Conf Proc IEEE Eng Med Biol Soc 2010:4797–4800PubMed

17.

Hendel RC, Berman DS, Di Carli MF et al (2009) ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 appropriate use criteria for cardiac radionuclide imaging: a report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the American Society of Nuclear Cardiology, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Magnetic Resonance, and the Society of Nuclear Medicine. J Am Coll Cardiol 53:2201–2229PubMedCrossRef

18.

Nakata T, Watanabe S, Matsuo H et al (2008) Risk management of guidelines for the routine clinical use of stress myocardial perfusion imaging. Japanese Society of Nuclear Cardiology, Tokyo, Available via http://www.jsnc.org/files/pdf/jnc-stress-guidelines.pdf. Accessed 28 May 2008

19.

Austen WG, Edwards JE, Frye RL et al (1975) A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation 51:5–40PubMedCrossRef

20.

Cerqueira MD, Weissman NJ, Dilsizian V et al (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. J Nucl Cardiol 9:240–245PubMedCrossRef

21.

Seiler C, Kirkeeide RL, Gould KL (1993) Measurement from arteriograms of regional myocardial bed size distal to any point in the coronary vascular tree for assessing anatomic area at risk. J Am Coll Cardiol 21:783–797PubMedCrossRef

22.

Le H, Wong JT, Molloi S (2008) Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images. Comput Med Imaging Graph 32:488–501PubMedCentralPubMedCrossRef

23.

Kurata A, Mochizuki T, Koyama Y et al (2005) Myocardial perfusion imaging using adenosine triphosphate stress multi-slice spiral computed tomography: alternative to stress myocardial perfusion scintigraphy. Circ J 69:550–557PubMedCrossRef

24.

George RT, Arbab-Zadeh A, Miller JM et al (2009) Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia. Circ Cardiovasc Imaging 2:174–182PubMedCentralPubMedCrossRef

25.

Rossi A, Dharampal A, Wragg A et al (2014) Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions? Eur Heart J Cardiovasc Imaging 15:85–94PubMedCrossRef

26.

Links JM, Becker LC, Rigo P et al (2000) Combined corrections for attenuation, depth-dependent blur, and motion in cardiac SPECT: a multicenter trial. J Nucl Cardiol 7:414–425PubMedCrossRef

27.

Daou D, Pointurier I, Coaguila C et al (2003) Performance of OSEM and depth-dependent resolution recovery algorithms for the evaluation of global left ventricular function in 201Tl gated myocardial perfusion SPECT. J Nucl Med 44:155–162PubMed

Titel: Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation
verfasst von: Akira Kurata
Atsushi Kono
Tsuyoshi Sakamoto
Teruhito Kido
Teruhito Mochizuki
Hiroshi Higashino
Mitsunori Abe
Adriaan Coenen
Raluca G. Saru-Chelu
Pim J. de Feyter
Gabriel P. Krestin
Koen Nieman
Publikationsdatum: 01.01.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 1/2015
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-014-3388-2

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Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation

Abstract

Objectives

Methods

Results

Conclusions

Key points

Neu im Fachgebiet Radiologie

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

Wie toxische Männlichkeit der Gesundheit von Männern schadet

Studie bestätigt Potenzial von KI in der Radiologie

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Update Radiologie

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Objectives

Methods

Results

Conclusions

Key points

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