title: Accuracy of computed tomography angiography to identify thin-cap fibroatheroma detected by optical coherence tomography.
abstract: BACKGROUND
  Thin-cap fibroatheroma (TCFA) is assumed to cause acute coronary syndromes.
  
  
  OBJECTIVE
  To compare the accuracy of different models for diagnosing TCFA using parameters derived by CT, validated against optical coherence tomography (OCT).
  
  
  METHODS
  One hundred twenty-nine plaques in 106 patients were analyzed using data acquired by 64-row CT with a reconstruction thickness of 0.67 mm and an increment of 0.33 mm. TCFA was defined by OCT as a plaque with lipid content in ≥2 quadrants and the thinnest part of the fibrous cap measuring ≤65 μm. The following parameters were obtained from CT: remodeling index (RI), proportion of low-attenuation (LA) volume (<60 HU), minimum CT number and napkin-ring sign (NRS). We compared three models to predict TCFA: Model 1, RI > 1.1, minimum CT number <30 HU and NRS; Model 2, RI > 1.1, minimum CT number <30 HU or NRS; Model 3, regression model using RI, proportion of LA volume and NRS.
  
  
  RESULTS
  In OCT, 83 plaques fulfilled the criteria of TCFA. The area under the receiver operating characteristics curve significantly (p < 0.01) increased to 0.96 (95% confidence interval (CI), 0.92-1.0) in model 3 as compared to models 1 (0.74, 95% CI, 0.68-0.80) and 2 (0.72, 95% CI, 0.67-0.79). Diagnostic accuracy of model 3 (93%) was significantly higher than that of models 1 (67%, p < 0.001) and 2 (80%, p = 0.001). Sensitivity and specificity of model 3 was 94% and 91%, respectively.
  
  
  CONCLUSIONS
  Diagnostic performance to identify TCFA by coronary CTA improves when RI and proportion of LA volume are used as continuous values rather than dichotomizing these parameters.
authors.affiliation: Department of Radiology, New Tokyo Hospital, Chiba, Japan. Electronic address: tomizawa-tky@umin.ac.jp.
authors.forename: Nobuo
authors.initials: N
authors.lastname: Tomizawa
authors.affiliation: Department of Radiology, New Tokyo Hospital, Chiba, Japan.
authors.forename: Kodai
authors.initials: K
authors.lastname: Yamamoto
authors.affiliation: Department of Radiology, New Tokyo Hospital, Chiba, Japan.
authors.forename: Shinichi
authors.initials: S
authors.lastname: Inoh
authors.affiliation: Department of Radiology, New Tokyo Hospital, Chiba, Japan.
authors.forename: Takeshi
authors.initials: T
authors.lastname: Nojo
authors.affiliation: Department of Cardiology, New Tokyo Hospital, Chiba, Japan.
authors.forename: Sunao
authors.initials: S
authors.lastname: Nakamura
mesh_terms: D000368:Aged; D019540:Area Under Curve; D016009:Chi-Square Distribution; D000072226:Computed Tomography Angiography; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000378:metabolism; D003331:Coronary Vessels / Q000737:chemistry / Q000000981:diagnostic imaging*; D005260:Female; D005355:Fibrosis; D006801:Humans; D007564:Japan; D008055:Lipids / Q000032:analysis; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography; D015999:Multivariate Analysis; D016017:Odds Ratio; D058226:Plaque, Atherosclerotic; D011237:Predictive Value of Tests; D012372:ROC Curve; D012042:Registries; D041623:Tomography, Optical Coherence
chemical_list: D008055:Lipids
keywords: Computed tomography angiography; Coronary plaque; Diagnostic performance; Optical coherence tomography; Thin-cap fibroatheroma