Literature DB >> 16183694

Correspondence between left ventricular 17 myocardial segments and coronary arteries.

Osvaldo Pereztol-Valdés1, Jaume Candell-Riera, César Santana-Boado, Juan Angel, Santiago Aguadé-Bruix, Joan Castell-Conesa, Ernest V Garcia, Jordi Soler-Soler.   

Abstract

AIMS: The last guidelines recommend a standardized 17-segment model for tomographic imaging of the left ventricle. The aim of this study is to analyse the correspondence of the 17 left ventricular segments with each coronary artery by myocardial perfusion SPECT studies. METHODS AND
RESULTS: Fifty patients selected for percutaneous revascularization of one coronary artery [24 left anterior descending (LAD), 15 right coronary artery (RCA), and 11 left circumflex (LCX)] were included. The (99m)Tc-labelled compound was injected immediately after the inflation of the balloon during percutaneous coronary angioplasty. At least 90 s of complete occlusion time was required. Maximal contour of regions of hypoperfusion corresponding to each coronary artery occlusion were delineated over the polar map of 17 segments. Nine segments corresponded to only one coronary artery: eight to LAD (basal anterior, basal anteroseptal, mid-anterior, mid-anteroseptal, apical anterior, apical septal, apical lateral, and apex) and one to LCX (basal anterolateral). Basal inferoseptal, mid-inferoseptal, and apical inferior segments could correspond to LAD or RCA. Basal inferior, basal inferolateral, mid-inferior, and mid-inferolateral segments could correspond to RCA or LCX, whereas the mid-anterolateral segment could correspond to LAD or LCX.
CONCLUSION: The most specific segments (anterior, anteroseptal, and all apical segments except the infero-apical) correspond to LAD but no segment can be exclusively attributed to the RCA. Inferoseptal segments can be attributed to LAD or RCA, inferior and inferolateral segments to RCA or LCX, and mid-anterolateral segment to LAD or LCX.

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Year:  2005        PMID: 16183694     DOI: 10.1093/eurheartj/ehi496

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  33 in total

1.  Myocardial hypo-enhancement on resting computed tomography angiography images accurately identifies myocardial hypoperfusion.

Authors:  Joshua L Busch; Adam M Alessio; James H Caldwell; Mohit Gupta; Songshou Mao; Jigar Kadakia; William Shuman; Matthew J Budoff; Kelley R Branch
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-10-24

2.  Does coronary calcium score predict future cardiac function? Association of subclinical atherosclerosis with left ventricular systolic and diastolic dysfunction at MR imaging in an elderly cohort.

Authors:  Patrick M Colletti; Laurie D Dustin; Nathan D Wong; Jabi E Shriki; Miwa Kawakubo; Stanley P Azen; Robert C Detrano
Journal:  Radiology       Date:  2010-08-16       Impact factor: 11.105

3.  Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease.

Authors:  Jonathan W Weinsaft; Christopher L Gade; Franklin J Wong; Han W Kim; James K Min; Shant J Manoushagian; Peter M Okin; Massimiliano Szulc
Journal:  J Nucl Cardiol       Date:  2007 Sep-Oct       Impact factor: 5.952

4.  Prospective diagnostic performance of semiconductor SPECT myocardial perfusion imaging: wall thickening analysis reduces the need for an additional prone acquisition.

Authors:  Loïc Djaileb; Benjamin Dubois; Nicolas de Leiris; Julien Leenhardt; Marjorie Canu; Olivier Phan Sy; Adrien Carabelli; Bastien Boussat; Laurent Dumas; Alexis Broisat; Gérald Vanzetto; Daniel Fagret; Catherine Ghezzi; Gilles Barone-Rochette; Laurent M Riou
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-18       Impact factor: 9.236

Review 5.  Artifacts in Quantitative analysis of myocardial perfusion SPECT, using Cedars-Sinai QPS Software.

Authors:  Hadi Malek; Nahid Yaghoobi; Raheleh Hedayati
Journal:  J Nucl Cardiol       Date:  2016-11-10       Impact factor: 5.952

6.  Comprehensive visualization of multimodal cardiac imaging data for assessment of coronary artery disease: first clinical results of the SMARTVis tool.

Authors:  Hortense A Kirişli; V Gupta; S W Kirschbaum; A Rossi; C T Metz; M Schaap; R J van Geuns; N Mollet; B P F Lelieveldt; J H C Reiber; T van Walsum; W J Niessen
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-09-24       Impact factor: 2.924

7.  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
Journal:  Eur Radiol       Date:  2017-03-24       Impact factor: 5.315

8.  Rationale and design of the quantification of myocardial blood flow using dynamic PET/CTA-fused imagery (DEMYSTIFY) to determine physiological significance of specific coronary lesions.

Authors:  Ahmed AlBadri; Marina Piccinelli; Sang-Geon Cho; Joo Myung Lee; Wissam Jaber; Carlo N De Cecco; Habib Samady; Bon-Kwon Koo; Hee-Seung Bom; Ernest V Garcia
Journal:  J Nucl Cardiol       Date:  2020-02-05       Impact factor: 5.952

9.  Optimisation of coronary vascular territorial 3D echocardiographic strain imaging using computed tomography: a feasibility study using image fusion.

Authors:  Martina Chantal de Knegt; A Fuchs; P Weeke; R Møgelvang; C Hassager; K F Kofoed
Journal:  Int J Cardiovasc Imaging       Date:  2016-08-18       Impact factor: 2.357

10.  Peri-infarct ischaemia assessed by cardiovascular MRI: comparison with quantitative perfusion single photon emission CT imaging.

Authors:  E Gerbaud; H Cochet; E Bullier; C Ragot; S H Gilbert; H Douard; Y Pucheu; F Laurent; P Coste; L Bordenave; M Montaudon
Journal:  Br J Radiol       Date:  2014-04-29       Impact factor: 3.039

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