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      3D contrast enhanced self navigated inversion recovery gradient echo coronary imaging in pediatric patients

      abstract
      1 , 2 , , 3 , 1 , 2 , 1 , 2 , 1 , 2 , 4 , 5 , 6
      Journal of Cardiovascular Magnetic Resonance
      BioMed Central
      18th Annual SCMR Scientific Sessions
      4-7 February 2015

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          Abstract

          Background Coronary arterial imaging in pediatric patients is challenging for multiple reasons, including higher heart rates and smaller vessel sizes. 3D respiratory navigator inversion recovery gradient echo (NAV IR GRE) imaging after administration of a blood pool contrast agent has shown advantages compared to 3D T2 prepared bSSFP imaging. Both techniques, however, provide unreliable acquisition timing since respiratory navigation efficiency varies based on patient conditions. Self-navigated (SN) whole heart imaging using a T2 prepared bSSFP readout, with tracking of the intracardiac blood pool rather than the diaphragm resulting in 100% efficient data acquisition, has been previously introduced. This technique, however, has not been applied using an IR preparation and GRE readout (SN IR GRE). We therefore sought to apply the SN IR GRE methodology in pediatric patients. Methods A previously described prototype 3D radial phyllotaxis SN pulse sequence was converted to perform an IR preparation pulse and GRE based readout. A series of iterative experiments was performed to optimize flip angle, bandwidth and inversion time after administration of gadofosveset trisodium. Once optimal parameters were determined, 10 patients underwent both respiratory navigated and self-navigated 3D imaging on a 1.5T scanner (Siemens MAGNETOM Aera). Images were assessed for coronary artery clarity, including quantitative assessment of SNR and CNR, vessel sharpness, and visualized length using the "Soap-Bubble" tool. Results SN IR GRE image quality was optimized with flip angle = 15°, bandwidth = 1000 Hz/Px, and inversion time = 290 ms. The median age of the patient cohort was 15.1 years (range 7.1 - 17.7), with an average heart rate of 77±15 bpm. Diagnoses included Tetralogy of Fallot (5), coronary artery anomaly (2), bicuspid aortic valve (2), and d-transposition of the great arteries (1). Acquisition duration for the SN IR GRE was extremely predictable, with an inverse linear relationship with heart rate. Image quality was excellent for all patients with both methodologies (Figure 1), with diagnostic visualization of the coronary origins and proximal courses. On side-by-side qualitative comparison, the SN IR GRE was superior in 4, inferior in 4, and equivalent in 2 patients. Quantitative assessment of vessel sharpness and distance visualized are shown in Table 1. SNR and CNR were higher using the NAV IR GRE (p<0.01), but vessel sharpness and visualized length were not statistically different for the LCA and RCA. Figure 1 NAV IR GRE and SN IR GRE images of the LCA in a child with d-transposition of the great arteries who has undergone an arterial switch operation. Table 1 Quantitative analysis or NAV IR GRE vs SN IR GRE Sequence SNR CNR Visible RCA Length (mm) Sharpness RCA Visible LCA Length (mm) Sharpness LCA NAV IR GRE 169 ± 76 122 ± 54 59 ± 33 41 ± 8 68 ± 28 37 ± 15 SN IR GRE 75 ± 19 45 ± 11 60 ± 35 31 ± 15 79 ± 24 35 ± 13 p-value 0.004 0.002 0.96 0.09 0.35 0.77 All values given as mean +/- standard deviation. Conclusions Self-Navigated IR GRE acquisitions are feasible in pediatric patients, with predictable acquisition times. Diagnostic quality is excellent, and though SNR and CNR are higher with NAV IR GRE, vessel sharpness and visualized length were not different for the coronary arteries. Funding None.

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          Author and article information

          Conference
          J Cardiovasc Magn Reson
          J Cardiovasc Magn Reson
          Journal of Cardiovascular Magnetic Resonance
          BioMed Central
          1097-6647
          1532-429X
          2015
          3 February 2015
          : 17
          : Suppl 1
          : Q98
          Affiliations
          [1 ]Department of Pediatrics, Emory University, Atlanta, GA, USA
          [2 ]Children's Healthcare of Atlanta, Atlanta, GA, USA
          [3 ]Customer Solutions Group, Siemens Medical Solutions USA, Inc, Malvern, PA, USA
          [4 ]MR Product Innovation and Definition, Healthcare Sector, Siemens AG, Erlangen, Germany
          [5 ]Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland
          [6 ]Department of Radiology, University Hospital (CHUV), University of Lausanne (UNIL) and Center for BioMedical Imaging (CIBM), Lausanne, Switzerland
          Article
          1532-429X-17-S1-Q98
          10.1186/1532-429X-17-S1-Q98
          4328846
          92c0e1b6-2c03-4523-a65f-d063bdb4e95e
          Copyright © 2015 Slesnick et al; licensee BioMed Central Ltd.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

          18th Annual SCMR Scientific Sessions
          Nice, France
          4-7 February 2015
          History
          Categories
          Walking Poster Presentation

          Cardiovascular Medicine
          Cardiovascular Medicine

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