Skip to main content
Top
Published in: European Radiology 10/2017

01-10-2017 | Cardiac

Myocardial segmentation based on coronary anatomy using coronary computed tomography angiography: Development and validation in a pig model

Authors: Mi Sun Chung, Dong Hyun Yang, Young-Hak Kim, Soo-Jin Kang, Joonho Jung, Namkug Kim, Seung-Ho Heo, Seunghee Baek, Joon Beom Seo, Byoung Wook Choi, Joon-Won Kang, Tae-Hwan Lim

Published in: European Radiology | Issue 10/2017

Login to get access

Abstract

Objectives

To validate a method for performing myocardial segmentation based on coronary anatomy using coronary CT angiography (CCTA).

Methods

Coronary artery-based myocardial segmentation (CAMS) was developed for use with CCTA. To validate and compare this method with the conventional American Heart Association (AHA) classification, a single coronary occlusion model was prepared and validated using six pigs. The unstained occluded coronary territories of the specimens and corresponding arterial territories from CAMS and AHA segmentations were compared using slice-by-slice matching and 100 virtual myocardial columns.

Results

CAMS more precisely predicted ischaemic area than the AHA method, as indicated by 95% versus 76% (p < 0.001) of the percentage of matched columns (defined as percentage of matched columns of segmentation method divided by number of unstained columns in the specimen). According to the subgroup analyses, CAMS demonstrated a higher percentage of matched columns than the AHA method in the left anterior descending artery (100% vs. 77%; p < 0.001) and mid- (99% vs. 83%; p = 0.046) and apical-level territories of the left ventricle (90% vs. 52%; p = 0.011).

Conclusions

CAMS is a feasible method for identifying the corresponding myocardial territories of the coronary arteries using CCTA.

Key Points

CAMS is a feasible method for identifying corresponding coronary territory using CTA
CAMS is more accurate in predicting coronary territory than the AHA method
The AHA method may underestimate the ischaemic territory of LAD stenosis
Appendix
Available only for authorised users
Literature
1.
go back to reference 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 107:2900–2907CrossRefPubMed 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 107:2900–2907CrossRefPubMed
2.
go back to reference Task Force M, Montalescot G, Sechtem U et al (2013) 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J 34:2949–3003CrossRef Task Force M, Montalescot G, Sechtem U et al (2013) 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J 34:2949–3003CrossRef
3.
go back to reference 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. Circulation 105:539–542CrossRefPubMed 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. Circulation 105:539–542CrossRefPubMed
4.
go back to reference Blankstein R, Shturman LD, Rogers IS et al (2009) Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J Am Coll Cardiol 54:1072–1084CrossRefPubMed Blankstein R, Shturman LD, Rogers IS et al (2009) Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J Am Coll Cardiol 54:1072–1084CrossRefPubMed
5.
go back to reference Ko BS, Cameron JD, Meredith IT et al (2012) Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. Eur Heart J 33:67–77CrossRefPubMed Ko BS, Cameron JD, Meredith IT et al (2012) Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. Eur Heart J 33:67–77CrossRefPubMed
6.
go back to reference Tashakkor AY, Nicolaou S, Leipsic J, Mancini GB (2012) The emerging role of cardiac computed tomography for the assessment of coronary perfusion: a systematic review and meta-analysis. Can J Cardiol 28:413–422CrossRefPubMed Tashakkor AY, Nicolaou S, Leipsic J, Mancini GB (2012) The emerging role of cardiac computed tomography for the assessment of coronary perfusion: a systematic review and meta-analysis. Can J Cardiol 28:413–422CrossRefPubMed
7.
go back to reference Yang DH, Kim YH, Roh JH et al (2015) Stress myocardial perfusion CT in patients suspected of having coronary artery disease: visual and quantitative analysis-validation by using fractional flow reserve. Radiology 276:715–723CrossRefPubMed Yang DH, Kim YH, Roh JH et al (2015) Stress myocardial perfusion CT in patients suspected of having coronary artery disease: visual and quantitative analysis-validation by using fractional flow reserve. Radiology 276:715–723CrossRefPubMed
8.
go back to reference Ortiz-Perez JT, Rodriguez J, Meyers SN, Lee DC, Davidson C, Wu E (2008) Correspondence between the 17-segment model and coronary arterial anatomy using contrast-enhanced cardiac magnetic resonance imaging. JACC Cardiovasc Imaging 1:282–293CrossRefPubMed Ortiz-Perez JT, Rodriguez J, Meyers SN, Lee DC, Davidson C, Wu E (2008) Correspondence between the 17-segment model and coronary arterial anatomy using contrast-enhanced cardiac magnetic resonance imaging. JACC Cardiovasc Imaging 1:282–293CrossRefPubMed
9.
go back to reference Donato P, Coelho P, Santos C, Bernardes A, Caseiro-Alves F (2012) Correspondence between left ventricular 17 myocardial segments and coronary anatomy obtained by multi-detector computed tomography: an ex vivo contribution. Surg Radiol Anat 34:805–810CrossRefPubMed Donato P, Coelho P, Santos C, Bernardes A, Caseiro-Alves F (2012) Correspondence between left ventricular 17 myocardial segments and coronary anatomy obtained by multi-detector computed tomography: an ex vivo contribution. Surg Radiol Anat 34:805–810CrossRefPubMed
10.
go back to reference Pereztol-Valdes O, Candell-Riera J, Santana-Boado C et al (2005) Correspondence between left ventricular 17 myocardial segments and coronary arteries. Eur Heart J 26:2637–2643CrossRefPubMed Pereztol-Valdes O, Candell-Riera J, Santana-Boado C et al (2005) Correspondence between left ventricular 17 myocardial segments and coronary arteries. Eur Heart J 26:2637–2643CrossRefPubMed
11.
go back to reference Javadi MS, Lautamaki R, Merrill J et al (2010) Definition of vascular territories on myocardial perfusion images by integration with true coronary anatomy: a hybrid PET/CT analysis. J Nucl Med 51:198–203CrossRefPubMed Javadi MS, Lautamaki R, Merrill J et al (2010) Definition of vascular territories on myocardial perfusion images by integration with true coronary anatomy: a hybrid PET/CT analysis. J Nucl Med 51:198–203CrossRefPubMed
12.
go back to reference Kurata A, Kono A, Sakamoto T et al (2015) Quantification of the myocardial area at risk using coronary CT angiography and voronoi algorithm-based myocardial segmentation. Eur Radiol 25:49–57CrossRefPubMed Kurata A, Kono A, Sakamoto T et al (2015) Quantification of the myocardial area at risk using coronary CT angiography and voronoi algorithm-based myocardial segmentation. Eur Radiol 25:49–57CrossRefPubMed
13.
go back to reference Termeer M, Bescós JO, Breeuwer M et al (2010) Patient-specific mappings between myocardial and coronary anatomy. Dagstuhl Follow-Ups 1:196–209 Termeer M, Bescós JO, Breeuwer M et al (2010) Patient-specific mappings between myocardial and coronary anatomy. Dagstuhl Follow-Ups 1:196–209
14.
go back to reference Karch R, Neumann F, Neumann M, Szawlowski P, Schreiner W (2003) Voronoi polyhedra analysis of optimized arterial tree models. Ann Biomed Eng 31:548–563CrossRefPubMed Karch R, Neumann F, Neumann M, Szawlowski P, Schreiner W (2003) Voronoi polyhedra analysis of optimized arterial tree models. Ann Biomed Eng 31:548–563CrossRefPubMed
16.
go back to reference Kang SJ, Yang DH, Kweon J et al (2016) Better diagnosis of functionally significant intermediate sized narrowings using intravascular ultrasound-minimal lumen area and coronary computed tomographic angiography-based myocardial segmentation. Am J Cardiol 117:1282–1288CrossRefPubMed Kang SJ, Yang DH, Kweon J et al (2016) Better diagnosis of functionally significant intermediate sized narrowings using intravascular ultrasound-minimal lumen area and coronary computed tomographic angiography-based myocardial segmentation. Am J Cardiol 117:1282–1288CrossRefPubMed
17.
go back to reference Chen C-C, Barnhart HX (2008) Comparison of ICC and CCC for assessing agreement for data without and with replications. Comput Stat Data Anal 53:554–564CrossRef Chen C-C, Barnhart HX (2008) Comparison of ICC and CCC for assessing agreement for data without and with replications. Comput Stat Data Anal 53:554–564CrossRef
18.
go back to reference Shrout PE, Fleiss JL (1979) Intraclass correlations: uses in assessing rater reliability. Psychol Bull 86:420CrossRefPubMed Shrout PE, Fleiss JL (1979) Intraclass correlations: uses in assessing rater reliability. Psychol Bull 86:420CrossRefPubMed
19.
go back to reference Budoff MJ, Dowe D, Jollis JG et al (2008) Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol 52:1724–1732CrossRefPubMed Budoff MJ, Dowe D, Jollis JG et al (2008) Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol 52:1724–1732CrossRefPubMed
20.
go back to reference Meijboom WB, Meijs MF, Schuijf JD et al (2008) Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol 52:2135–2144CrossRefPubMed Meijboom WB, Meijs MF, Schuijf JD et al (2008) Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol 52:2135–2144CrossRefPubMed
21.
go back to reference Miller JM, Rochitte CE, Dewey M et al (2008) Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359:2324–2336CrossRefPubMed Miller JM, Rochitte CE, Dewey M et al (2008) Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359:2324–2336CrossRefPubMed
22.
23.
go back to reference Kim KH, Doh JH, Koo BK et al (2014) A novel noninvasive technology for treatment planning using virtual coronary stenting and computed tomography-derived computed fractional flow reserve. JACC Cardiovasc Interv 7:72–78CrossRefPubMed Kim KH, Doh JH, Koo BK et al (2014) A novel noninvasive technology for treatment planning using virtual coronary stenting and computed tomography-derived computed fractional flow reserve. JACC Cardiovasc Interv 7:72–78CrossRefPubMed
24.
go back to reference Yang DH, Kim YH, Roh JH et al. (2016) Diagnostic performance of on-site CT-derived fractional flow reserve versus CT perfusion. Eur Heart J Cardiovasc Imaging. doi:10.1093/ehjci/jew094 Yang DH, Kim YH, Roh JH et al. (2016) Diagnostic performance of on-site CT-derived fractional flow reserve versus CT perfusion. Eur Heart J Cardiovasc Imaging. doi:10.​1093/​ehjci/​jew094
25.
go back to reference Pereztol-Valdes O, Candell-Riera J, Oller-Martinez G et al (2004) Localization and quantification of myocardium at risk by myocardial perfusion SPECT during coronary artery occlusion. Rev Esp Cardiol 57:635–643CrossRefPubMed Pereztol-Valdes O, Candell-Riera J, Oller-Martinez G et al (2004) Localization and quantification of myocardium at risk by myocardial perfusion SPECT during coronary artery occlusion. Rev Esp Cardiol 57:635–643CrossRefPubMed
27.
go back to reference Rodrigues M, Silva A, Aguas A, Grande N (2005) The coronary circulation of the pig heart: comparison with the human heart. Eur J Anat 9:67 Rodrigues M, Silva A, Aguas A, Grande N (2005) The coronary circulation of the pig heart: comparison with the human heart. Eur J Anat 9:67
28.
go back to reference Weaver ME, Pantely GA, Bristow JD, Ladley HD (1986) A quantitative study of the anatomy and distribution of coronary arteries in swine in comparison with other animals and man. Cardiovasc Res 20:907–917CrossRefPubMed Weaver ME, Pantely GA, Bristow JD, Ladley HD (1986) A quantitative study of the anatomy and distribution of coronary arteries in swine in comparison with other animals and man. Cardiovasc Res 20:907–917CrossRefPubMed
29.
go back to reference Kim HY, Lim H-S, Doh J-H et al (2016) Physiological severity of coronary artery stenosis depends on the amount of myocardial mass subtended by the coronary artery. J Am Coll Cardiol Intv 9:1548–1560CrossRef Kim HY, Lim H-S, Doh J-H et al (2016) Physiological severity of coronary artery stenosis depends on the amount of myocardial mass subtended by the coronary artery. J Am Coll Cardiol Intv 9:1548–1560CrossRef
30.
go back to reference Kang SJ, Kweon J, Yang DH et al (2016) Mathematically derived criteria for detecting functionally significant stenoses using coronary computed tomographic angiography-based myocardial segmentation and intravascular ultrasound-measured minimal lumen area. Am J Cardiol 118:170–176CrossRefPubMed Kang SJ, Kweon J, Yang DH et al (2016) Mathematically derived criteria for detecting functionally significant stenoses using coronary computed tomographic angiography-based myocardial segmentation and intravascular ultrasound-measured minimal lumen area. Am J Cardiol 118:170–176CrossRefPubMed
Metadata
Title
Myocardial segmentation based on coronary anatomy using coronary computed tomography angiography: Development and validation in a pig model
Authors
Mi Sun Chung
Dong Hyun Yang
Young-Hak Kim
Soo-Jin Kang
Joonho Jung
Namkug Kim
Seung-Ho Heo
Seunghee Baek
Joon Beom Seo
Byoung Wook Choi
Joon-Won Kang
Tae-Hwan Lim
Publication date
01-10-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4793-0

Other articles of this Issue 10/2017

European Radiology 10/2017 Go to the issue