Literature DB >> 24894361

A novel method for non-invasive plaque morphology analysis by coronary computed tomography angiography.

Shinichiro Fujimoto1, Takeshi Kondo, Takahide Kodama, Yasuko Fujisawa, John Groarke, Kanako K Kumamaru, Kazuhisa Takamura, Eriko Matsunaga, Katsumi Miyauchi, Hiroyuki Daida, Frank J Rybicki.   

Abstract

Coronary computed tomography angiography (CCTA) plaque morphology based on conventional Hounsfield units relies on absolute CT numbers is influenced by imaging and anatomical variables. The project describes and tests a novel alternative method, termed the "labeling method", which uses relative CT numbers and 3-dimensional plaque structure. Using virtual histology intravascular ultrasound (VH-IVUS) as the reference standard, this study compares the labeling method to a conventional CT-number based method to determine coronary plaque morphology. Thirty-seven high-risk, non-calcified atherosclerotic coronary lesions were prospectively evaluated in 33 consecutive patients who underwent CCTA followed by VH-IVUS (mean interval 8.6 ± 13.3 days). CCTA-derived vessel and minimum lumen areas were compared to VH-IVUS measures. Fibrotic and necrotic core areas were calculated by both the labeling method to the CT-number based method; both were tested for agreement with reference standard VH-IVUS. Inter- and intra-observer correlations were assessed. CCTA significantly underestimated minimum lumen area when compared to VH-IVUS (mean difference -1.4 ± 0.9 mm(2), p < 0.0001). Necrotic core and fibrous areas quantified using the labeling method demonstrated superior correlation with VH-IVUS compared to those quantified using the CT-number based method, Pearson's r = 0.75 versus 0.42 and r = 0.80 and 0.59, respectively. Compared to VH-IVUS, limits of agreement for the labeling method-derived necrotic core (-2.0 to 2.5 mm(2)) and fibrous areas (0.6-8.0 mm(2)) were more narrow than those determined using the CT-number based method (-3.7 to 7.3 and -4.0 to 8.9 mm(2), respectively). Inter- and intraobserver correlations were excellent for all CCTA derived measures (r = 0.85-0.98). A novel CCTA-based labeling method offers an alternative to conventional CT-number based analyses for plaque morphology. The labeling method demonstrates superior correlation to VH-IVUS for measures of fibrotic and necrotic core areas within non-calcified coronary atherosclerotic plaques.

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Year:  2014        PMID: 24894361     DOI: 10.1007/s10554-014-0461-5

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  34 in total

1.  Coronary plaque classification with intravascular ultrasound radiofrequency data analysis.

Authors:  Anuja Nair; Barry D Kuban; E Murat Tuzcu; Paul Schoenhagen; Steven E Nissen; D Geoffrey Vince
Journal:  Circulation       Date:  2002-10-22       Impact factor: 29.690

2.  Picking plaques that pop ...

Authors:  Jagat Narula; Aloke V Finn; Anthony N Demaria
Journal:  J Am Coll Cardiol       Date:  2005-06-21       Impact factor: 24.094

3.  Comparison of in vivo assessment of vulnerable plaque by 64-slice multislice computed tomography versus optical coherence tomography.

Authors:  Tsuyoshi Ito; Mitsuyasu Terashima; Hideaki Kaneda; Kenya Nasu; Hitoshi Matsuo; Mariko Ehara; Yoshihisa Kinoshita; Masashi Kimura; Nobuyoshi Tanaka; Maoto Habara; Osamu Katoh; Takahiko Suzuki
Journal:  Am J Cardiol       Date:  2011-02-23       Impact factor: 2.778

4.  Non-calcified coronary atherosclerotic plaque visualization on CT: effects of contrast-enhancement and lipid-content fractions.

Authors:  Wisnumurti Kristanto; Peter M A van Ooijen; Marcel J W Greuter; Jaap M Groen; Rozemarijn Vliegenthart; Matthijs Oudkerk
Journal:  Int J Cardiovasc Imaging       Date:  2013-01-17       Impact factor: 2.357

5.  Serial coronary CT angiography-verified changes in plaque characteristics as an end point: evaluation of effect of statin intervention.

Authors:  Kaori Inoue; Sadako Motoyama; Masayoshi Sarai; Takahisa Sato; Hiroto Harigaya; Tomonori Hara; Yoshihiro Sanda; Hirofumi Anno; Takeshi Kondo; Nathan D Wong; Jagat Narula; Yukio Ozaki
Journal:  JACC Cardiovasc Imaging       Date:  2010-07

6.  Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound.

Authors:  Junyan Sun; Zhaoqi Zhang; Biao Lu; Wei Yu; Ya Yang; Yujie Zhou; Yanhui Wang; Zhanming Fan
Journal:  AJR Am J Roentgenol       Date:  2008-03       Impact factor: 3.959

7.  Image quality and radiation dose stratified by patient heart rate for coronary 64- and 320-MDCT angiography.

Authors:  Shinichiro Fujimoto; Hideyuki Matsutani; Takeshi Kondo; Tomonari Sano; Kanako Kumamaru; Shinichi Takase; Frank J Rybicki
Journal:  AJR Am J Roentgenol       Date:  2013-04       Impact factor: 3.959

8.  Atherosclerotic plaque composition and classification identified by coronary computed tomography: assessment of computed tomography-generated plaque maps compared with virtual histology intravascular ultrasound and histology.

Authors:  Daniel R Obaid; Patrick A Calvert; Deepa Gopalan; Richard A Parker; Stephen P Hoole; Nick E J West; Martin Goddard; James H F Rudd; Martin R Bennett
Journal:  Circ Cardiovasc Imaging       Date:  2013-08-19       Impact factor: 7.792

9.  Coronary computed tomography angiography-based coronary risk stratification in subjects presenting with no or atypical symptoms.

Authors:  Shinichiro Fujimoto; Takeshi Kondo; Takahide Kodama; Tadaaki Orihara; Junichi Sugiyama; Makoto Kondo; Akira Endo; Hiroshi Fukazawa; Hideki Nagaoka; Akitsugu Oida; Takanori Ikeda; Junichi Yamazaki; Shinichi Takase; Jagat Narula
Journal:  Circ J       Date:  2012-08-01       Impact factor: 2.993

Review 10.  From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part I.

Authors:  Morteza Naghavi; Peter Libby; Erling Falk; S Ward Casscells; Silvio Litovsky; John Rumberger; Juan Jose Badimon; Christodoulos Stefanadis; Pedro Moreno; Gerard Pasterkamp; Zahi Fayad; Peter H Stone; Sergio Waxman; Paolo Raggi; Mohammad Madjid; Alireza Zarrabi; Allen Burke; Chun Yuan; Peter J Fitzgerald; David S Siscovick; Chris L de Korte; Masanori Aikawa; K E Juhani Airaksinen; Gerd Assmann; Christoph R Becker; James H Chesebro; Andrew Farb; Zorina S Galis; Chris Jackson; Ik-Kyung Jang; Wolfgang Koenig; Robert A Lodder; Keith March; Jasenka Demirovic; Mohamad Navab; Silvia G Priori; Mark D Rekhter; Raymond Bahr; Scott M Grundy; Roxana Mehran; Antonio Colombo; Eric Boerwinkle; Christie Ballantyne; William Insull; Robert S Schwartz; Robert Vogel; Patrick W Serruys; Goran K Hansson; David P Faxon; Sanjay Kaul; Helmut Drexler; Philip Greenland; James E Muller; Renu Virmani; Paul M Ridker; Douglas P Zipes; Prediman K Shah; James T Willerson
Journal:  Circulation       Date:  2003-10-07       Impact factor: 29.690

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  4 in total

1.  Ex vivo differential phase contrast and magnetic resonance imaging for characterization of human carotid atherosclerotic plaques.

Authors:  Romana Meletta; Nicole Borel; Paul Stolzmann; Alberto Astolfo; Jan Klohs; Marco Stampanoni; Markus Rudin; Roger Schibli; Stefanie D Krämer; Adrienne Müller Herde
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-16       Impact factor: 2.357

2.  Prognostic Value of Coronary Computed Tomography (CT) Angiography and Coronary Artery Calcium Score Performed Before Revascularization.

Authors:  Shinichiro Fujimoto; Takeshi Kondo; Kanako K Kumamaru; Tomohiro Shinozaki; Kazuhisa Takamura; Yuko Kawaguchi; Rie Matsumori; Makoto Hiki; Katsumi Miyauchi; Hiroyuki Daida; Frank J Rybicki
Journal:  J Am Heart Assoc       Date:  2015-08-21       Impact factor: 5.501

Review 3.  The role of cardiac computed tomography in predicting adverse coronary events.

Authors:  Maria Emfietzoglou; Michail C Mavrogiannis; Athanasios Samaras; Georgios P Rampidis; George Giannakoulas; Polydoros N Kampaktsis
Journal:  Front Cardiovasc Med       Date:  2022-07-15

Review 4.  Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review.

Authors:  Khaled M Abdelrahman; Marcus Y Chen; Amit K Dey; Renu Virmani; Aloke V Finn; Ramzi Y Khamis; Andrew D Choi; James K Min; Michelle C Williams; Andrew J Buckler; Charles A Taylor; Campbell Rogers; Habib Samady; Charalambos Antoniades; Leslee J Shaw; Matthew J Budoff; Udo Hoffmann; Ron Blankstein; Jagat Narula; Nehal N Mehta
Journal:  J Am Coll Cardiol       Date:  2020-09-08       Impact factor: 24.094

  4 in total

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