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Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma.

Brown AJ, Obaid DR, Costopoulos C, Parker RA, Calvert PA, Teng Z, Hoole SP, West NE, Goddard M, Bennett MR - Circ Cardiovasc Imaging (2015)

Bottom Line: Combining VH-defined fibroatheroma and fibrous cap thickness ≤85 μm over 3 continuous frames improved TCFA identification, with diagnostic accuracy of 89.0%.Both VH-IVUS and OCT can reliably identify TCFA, although OCT accuracy may be improved using lipid arc ≥80° and fibrous cap thickness ≤85 μm over 3 continuous frames.Combined VH-IVUS/OCT imaging markedly improved TCFA identification.

View Article: PubMed Central - PubMed

Affiliation: From the Division of Cardiovascular Medicine (A.J.B., D.R.O., C.C., P.A.C., M.R.B.), Department of Radiology (Z.T.), and Department of Engineering (Z.T.), University of Cambridge, Cambridge, United Kingdom; Health Services Research Unit, Usher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine. University of Edinburgh, Edinburgh, United Kingdom (R.A.P.); and Departments of Interventional Cardiology (S.P.H., N.E.J.W.) and Pathology (M.G.), Papworth Hospital NHS Trust, Cambridge, United Kingdom.

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Receiver-operating curves for identification of advanced coronary plaques. A–D, Receiver-operating curves for the identification of all fibroatheroma (FA) and thin-cap fibroatheroma (TCFA) using virtual-histology intravascular ultrasound ((A and C) and OCT (B and D).
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Figure 7: Receiver-operating curves for identification of advanced coronary plaques. A–D, Receiver-operating curves for the identification of all fibroatheroma (FA) and thin-cap fibroatheroma (TCFA) using virtual-histology intravascular ultrasound ((A and C) and OCT (B and D).

Mentions: These results suggest that existing definitions for TCFA using VH-IVUS and OCT may lead to misclassification in ≈20% of plaques, and we need better indicators of TCFA. NC area and % and plaque area were increased in TCFA; we therefore assessed the ability of these features to identify any fibroatheroma or TCFA by receiver-operating characteristic analysis. Confluent NC area (AUC, 0.74; 95% CI, 0.67–0.81 and AUC, 0.79; 95% CI, 0.72–0.86) and NC percentage (AUC, 0.68; 95% CI, 0.61–0.76 and AUC, 0.76; 95% CI, 0.68–0.84) were moderate predictors of fibroatheroma and TCFA, respectively (Figure 7A and 7C). Plaque area (FA: AUC, 0.74; 95% CI, 0.67–0.80 and TCFA: AUC 0.77; 95% CI, 0.69–0.85) and plaque burden (FA: AUC, 0.76; 95% CI, 0.70–0.83 and TCFA: AUC, 0.78; 95% CI, 0.70–0.86) had similar predictive abilities to identify any fibroatheroma and TCFA (P>0.05 for all comparisons with NC area and %).


Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma.

Brown AJ, Obaid DR, Costopoulos C, Parker RA, Calvert PA, Teng Z, Hoole SP, West NE, Goddard M, Bennett MR - Circ Cardiovasc Imaging (2015)

Receiver-operating curves for identification of advanced coronary plaques. A–D, Receiver-operating curves for the identification of all fibroatheroma (FA) and thin-cap fibroatheroma (TCFA) using virtual-histology intravascular ultrasound ((A and C) and OCT (B and D).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4596008&req=5

Figure 7: Receiver-operating curves for identification of advanced coronary plaques. A–D, Receiver-operating curves for the identification of all fibroatheroma (FA) and thin-cap fibroatheroma (TCFA) using virtual-histology intravascular ultrasound ((A and C) and OCT (B and D).
Mentions: These results suggest that existing definitions for TCFA using VH-IVUS and OCT may lead to misclassification in ≈20% of plaques, and we need better indicators of TCFA. NC area and % and plaque area were increased in TCFA; we therefore assessed the ability of these features to identify any fibroatheroma or TCFA by receiver-operating characteristic analysis. Confluent NC area (AUC, 0.74; 95% CI, 0.67–0.81 and AUC, 0.79; 95% CI, 0.72–0.86) and NC percentage (AUC, 0.68; 95% CI, 0.61–0.76 and AUC, 0.76; 95% CI, 0.68–0.84) were moderate predictors of fibroatheroma and TCFA, respectively (Figure 7A and 7C). Plaque area (FA: AUC, 0.74; 95% CI, 0.67–0.80 and TCFA: AUC 0.77; 95% CI, 0.69–0.85) and plaque burden (FA: AUC, 0.76; 95% CI, 0.70–0.83 and TCFA: AUC, 0.78; 95% CI, 0.70–0.86) had similar predictive abilities to identify any fibroatheroma and TCFA (P>0.05 for all comparisons with NC area and %).

Bottom Line: Combining VH-defined fibroatheroma and fibrous cap thickness ≤85 μm over 3 continuous frames improved TCFA identification, with diagnostic accuracy of 89.0%.Both VH-IVUS and OCT can reliably identify TCFA, although OCT accuracy may be improved using lipid arc ≥80° and fibrous cap thickness ≤85 μm over 3 continuous frames.Combined VH-IVUS/OCT imaging markedly improved TCFA identification.

View Article: PubMed Central - PubMed

Affiliation: From the Division of Cardiovascular Medicine (A.J.B., D.R.O., C.C., P.A.C., M.R.B.), Department of Radiology (Z.T.), and Department of Engineering (Z.T.), University of Cambridge, Cambridge, United Kingdom; Health Services Research Unit, Usher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine. University of Edinburgh, Edinburgh, United Kingdom (R.A.P.); and Departments of Interventional Cardiology (S.P.H., N.E.J.W.) and Pathology (M.G.), Papworth Hospital NHS Trust, Cambridge, United Kingdom.

Show MeSH
Related in: MedlinePlus