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J Am Coll Cardiol, 2007; 50:319-326, doi:10.1016/j.jacc.2007.03.044 (Published online 6 July 2007).
© 2007 by the American College of Cardiology Foundation
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CLINICAL RESEARCH: CARDIAC IMAGING

Multislice Computed Tomographic Characteristics of Coronary Lesions in Acute Coronary Syndromes

Sadako Motoyama, MD, PhD*,*, Takeshi Kondo, MD, PhD{dagger}, Masayoshi Sarai, MD, PhD*, Atsushi Sugiura, MD, PhD*, Hiroto Harigaya, MD*, Takahisa Sato, MD, PhD*, Kaori Inoue, MD*, Masanori Okumura, MD*, Junichi Ishii, MD, PhD*, Hirofumi Anno, MD, PhD{ddagger}, Renu Virmani, MD, FACC§, Yukio Ozaki, MD, PhD*, Hitoshi Hishida, MD, PhD* and Jagat Narula, MD, PhD, FACC

* Department of Cardiology, Fujita Health University, Toyoake, Japan
{dagger} Department of Cardiology, Takase Clinic, Takasaki, Japan
{ddagger} Department of Radiology, Fujita Health University, Toyoake, Japan
§ International Registry of Pathology, Gaithersburg, Maryland
Division of Cardiology, University of California Irvine, Irvine, California.

Manuscript received July 25, 2006; revised manuscript received March 13, 2007, accepted March 15, 2007.

* Reprint requests and correspondence: Dr. Sadako Motoyama, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. (Email: sadakom{at}fujita-hu.ac.jp).

Objectives: To evaluate the feasibility of noninvasive assessment of the characteristics of disrupted atherosclerotic plaques, the authors interrogated the culprit lesions in acute coronary syndromes (ACS) by multislice computed tomography (CT).

Background: Disrupted atherosclerotic plaques responsible for ACS histopathologically demonstrate large lipid cores and positive vascular remodeling. It is expected that plaques vulnerable to rupture should bear similar imaging signatures by CT.

Methods: Either 0.5-mm x 16-slice or 64-slice CT was performed in 38 patients with ACS and compared with 33 patients with stable angina pectoris (SAP) before percutaneous coronary intervention. The coronary plaques in ACS and SAP were evaluated for the CT plaque characteristics, including vessel remodeling, consistency of noncalcified plaque (NCP <30 HU or 30 HU <NCP <150 HU), and spotty or large calcification.

Results: In the CT profile of culprit ACS and SAP lesions, the frequency of 30 HU <NCP <150 HU (100% vs. 100%, p = NS) was not different, and large calcification (22% vs. 55%, p = 0.004) was significantly more frequent in the stable lesions. Positive remodeling (87% vs. 12%, p < 0.0001), NCP <30 HU (79% vs. 9%, p < 0.0001), and spotty calcification (63% vs. 21%, p = 0.0005) were significantly more frequent in the ACS lesions. Presence of all 3 (i.e., positive remodeling, NCP <30 HU, and spotty calcification) showed a high positive predictive value, and absence of all 3 showed a high negative predictive value for the culprit plaques associated with ACS.

Conclusions: The CT characteristics of plaques associated with ACS include positive vascular remodeling, low plaque density, and spotty calcification. It is logical to presume that plaques vulnerable to rupture harbor similar characteristics.

Abbreviations and Acronyms
  ACS = acute coronary syndrome
  CAG = coronary angiography
  CT = computed tomography
  ECG = electrocardiogram
  IVUS = intravascular ultrasound
  MSCT = multislice computed tomography
  NCP = noncalcified plaques
  NPV = negative predictive values
  NSTEMI = non–ST-segment elevation myocardial infarction
  PCI = percutaneous coronary intervention
  PPV = positive predictive value
  SAP = stable angina pectoris
  STEMI = ST-segment elevation myocardial infarction
  TCFA = thin cap fibroatheroma
  UAP = unstable angina pectoris




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