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Improved visualization of the coronary arteries using motion correction during vasodilator stress CT myocardial perfusion imaging.
Balaney, Bhavna; Vembar, Mani; Grass, Michael; Singh, Amita; Kawaji, Keigo; Landeras, Luis; Chung, Jonathan; Mor-Avi, Victor; Patel, Amit R.
Afiliação
  • Balaney B; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
  • Vembar M; Department of CT Clinical Science, Philips Healthcare, Cleveland, OH, United States.
  • Grass M; Philips Research, Hamburg, Germany.
  • Singh A; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
  • Kawaji K; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
  • Landeras L; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
  • Chung J; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
  • Mor-Avi V; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
  • Patel AR; Departments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States. Electronic address: amitpatel@uchicago.edu.
Eur J Radiol ; 114: 1-5, 2019 May.
Article em En | MEDLINE | ID: mdl-31005158
BACKGROUND: Vasodilator stress computed tomography perfusion (sCTP) imaging is complementary to coronary CT angiography (CCTA), used to determine the hemodynamic significance of coronary artery disease. However, it requires a separate image acquisition due to motion artifacts caused by higher heart rates during stress, resulting in increased iodine contrast dose and radiation. We sought to determine whether a novel motion correction algorithm applied to stress images would improve the visualization of the coronary arteries to potentially allow CCTA + sCTP evaluation in a single scan. METHODS: 28 patients referred for clinically indicated CCTA (iCT, Philips) underwent sCTP imaging (retrospective-gating with dose modulation; 100 kVp and 250 mA; 5.2 ± 4.3 mSv) after regadenoson (0.4 mg, Astellas). Stress images were reconstructed using standard filtered back-projection (FBP) and also processed to generate interaction-free coronary motion-compensated back-projection reconstructions (MCR). Each coronary artery from standard FBP and MCR images was viewed side-by-side by a reader blinded to the reconstruction technique, who graded severity of motion artifact by segment (scale 0-5, with 3 as the threshold for diagnostic quality) and to measure signal-to-noise and contrast-to-noise ratios (SNR, CNR). RESULTS: Visualization scores were higher with MCR for all coronary segments, including 14/86 (16%) segments deemed as non-diagnostic on FBP images. SNR (7 ± 2) and CNR (15 ± 8) were unchanged by motion-correction (7 ± 3, p = 0.88 and 15 ± 5, p = 0.94, respectively). CONCLUSIONS: MCR improves the visualization of coronary anatomy on sCTP images without degrading image characteristics. This algorithm is an important step towards the combined assessment of coronary anatomy and myocardial perfusion in a single scan, which will reduce study time, radiation exposure and contrast dose.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Imagem de Perfusão do Miocárdio Tipo de estudo: Evaluation_studies / Observational_studies Idioma: En Revista: Eur J Radiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Imagem de Perfusão do Miocárdio Tipo de estudo: Evaluation_studies / Observational_studies Idioma: En Revista: Eur J Radiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos