Literature DB >> 23012461

Differentiation of early from advanced coronary atherosclerotic lesions: systematic comparison of CT, intravascular US, and optical frequency domain imaging with histopathologic examination in ex vivo human hearts.

Pál Maurovich-Horvat1, Christopher L Schlett, Hatem Alkadhi, Masataka Nakano, Paul Stolzmann, Marc Vorpahl, Hans Scheffel, Atsushi Tanaka, William C Warger, Akiko Maehara, Shixin Ma, Matthias F Kriegel, Ryan K Kaple, Harald Seifarth, Fabian Bamberg, Gary S Mintz, Guillermo J Tearney, Renu Virmani, Udo Hoffmann.   

Abstract

PURPOSE: To establish an ex vivo experimental setup for imaging coronary atherosclerosis with coronary computed tomographic (CT) angiography, intravascular ultrasonography (US), and optical frequency domain imaging (OFDI) and to investigate their ability to help differentiate early from advanced coronary plaques.
MATERIALS AND METHODS: All procedures were performed in accordance with local and federal regulations and the Declaration of Helsinki. Approval of the local Ethics Committee was obtained. Overall, 379 histologic cuts from nine coronary arteries from three donor hearts were acquired, coregistered among modalities, and assessed for the presence and composition of atherosclerotic plaque. To assess the discriminatory capacity of the different modalities in the detection of advanced lesions, c statistic analysis was used. Interobserver agreement was assessed with the Cohen κ statistic.
RESULTS: Cross sections without plaque at coronary CT angiography and with fibrous plaque at OFDI almost never showed advanced lesions at histopathologic examination (odds ratio [OR]: 0.02 and 0.06, respectively; both P<.0001), while mixed plaque at coronary CT angiography, calcified plaque at intravascular US, and lipid-rich plaque at OFDI were associated with advanced lesions (OR: 2.49, P=.0003; OR: 2.60, P=.002; and OR: 31.2, P<.0001, respectively). OFDI had higher accuracy for discriminating early from advanced lesions than intravascular US and coronary CT angiography (area under the receiver operating characteristic curve: 0.858 [95% confidence interval {CI}: 0.802, 0.913], 0.631 [95% CI: 0.554, 0.709], and 0.679 [95% CI: 0.618, 0.740]; respectively, P<.0001). Interobserver agreement was excellent for OFDI and coronary CT angiography (κ=0.87 and 0.85, respectively) and was good for intravascular US (κ=0.66).
CONCLUSION: Systematic and standardized comparison between invasive and noninvasive modalities for coronary plaque characterization in ex vivo specimens demonstrated that coronary CT angiography and intravascular US are reasonably associated with plaque composition and lesion grading according to histopathologic findings, while OFDI was strongly associated. These data may help to develop initial concepts of sequential imaging strategies to identify patients with advanced coronary plaques. © RSNA, 2012

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Year:  2012        PMID: 23012461     DOI: 10.1148/radiol.12111891

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

1.  The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography.

Authors:  Stefan B Puchner; Maros Ferencik; Mihaly Karolyi; Synho Do; Pal Maurovich-Horvat; Hans-Ulrich Kauczor; Udo Hoffmann; Christopher L Schlett
Journal:  Int J Cardiovasc Imaging       Date:  2013-08-30       Impact factor: 2.357

2.  Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque--a comparison with histology.

Authors:  Stefan B Puchner; Maros Ferencik; Pal Maurovich-Horvat; Masataka Nakano; Fumiyuki Otsuka; Hans-Ulrich Kauczor; Renu Virmani; Udo Hoffmann; Christopher L Schlett
Journal:  Eur Radiol       Date:  2014-09-03       Impact factor: 5.315

3.  Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial.

Authors:  Maros Ferencik; Thomas Mayrhofer; Daniel O Bittner; Hamed Emami; Stefan B Puchner; Michael T Lu; Nandini M Meyersohn; Alexander V Ivanov; Elizabeth C Adami; Manesh R Patel; Daniel B Mark; James E Udelson; Kerry L Lee; Pamela S Douglas; Udo Hoffmann
Journal:  JAMA Cardiol       Date:  2018-02-01       Impact factor: 14.676

Review 4.  Imaging atherosclerosis and risk of plaque rupture.

Authors:  Eric A Osborn; Farouc A Jaffer
Journal:  Curr Atheroscler Rep       Date:  2013-10       Impact factor: 5.113

5.  Quantifying the effect of side branches in endothelial shear stress estimates.

Authors:  Andreas A Giannopoulos; Yiannis S Chatzizisis; Pal Maurovich-Horvat; Antonios P Antoniadis; Udo Hoffmann; Michael L Steigner; Frank J Rybicki; Dimitrios Mitsouras
Journal:  Atherosclerosis       Date:  2016-06-23       Impact factor: 5.162

6.  AHA classification of coronary and carotid atherosclerotic plaques by grating-based phase-contrast computed tomography.

Authors:  Holger Hetterich; Nicole Webber; Marian Willner; Julia Herzen; Lorenz Birnbacher; Alexander Hipp; Mathias Marschner; Sigrid D Auweter; Christopher Habbel; Ulrich Schüller; Fabian Bamberg; Birgit Ertl-Wagner; Franz Pfeiffer; Tobias Saam
Journal:  Eur Radiol       Date:  2015-12-17       Impact factor: 5.315

7.  Relation between baseline plaque features and subsequent coronary artery remodeling determined by optical coherence tomography and intravascular ultrasound.

Authors:  Zulong Xie; Nana Dong; Rong Sun; Xinxin Liu; Xia Gu; Yong Sun; Hongwei Du; Jiannan Dai; Youbin Liu; Jingbo Hou; Jinwei Tian; Bo Yu
Journal:  Oncotarget       Date:  2017-01-17

8.  Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography.

Authors:  Márton Kolossváry; Jonghanne Park; Ji-In Bang; Jinlong Zhang; Joo Myung Lee; Jin Chul Paeng; Béla Merkely; Jagat Narula; Takashi Kubo; Takashi Akasaka; Bon-Kwon Koo; Pál Maurovich-Horvat
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-11-01       Impact factor: 6.875

9.  The value of quantified plaque analysis by dual-source coronary CT angiography to detect vulnerable plaques: a comparison study with intravascular ultrasound.

Authors:  Mingyuan Yuan; Hao Wu; Rongxian Li; Mengmeng Yu; Xu Dai; Jiayin Zhang
Journal:  Quant Imaging Med Surg       Date:  2020-03

10.  Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Authors:  Márton Kolossváry; Júlia Karády; Yasuka Kikuchi; Alexander Ivanov; Christopher L Schlett; Michael T Lu; Borek Foldyna; Béla Merkely; Hugo J Aerts; Udo Hoffmann; Pál Maurovich-Horvat
Journal:  Radiology       Date:  2019-08-06       Impact factor: 11.105

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