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Meeting ReportCardiovascular: Clinical Science

Quantitative comparison of normal limits for regional wall motion and thickening for MRI and MPS

Mithun Prasad, Balaji Tamarappoo, Amit Ramesh, Paul Kavanagh, James Gerlach, Louise Thomson, Daniel Berman, Guido Germano and Piotr Slomka
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 1166;
Mithun Prasad
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Balaji Tamarappoo
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Amit Ramesh
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Paul Kavanagh
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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James Gerlach
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Louise Thomson
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Daniel Berman
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Guido Germano
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Piotr Slomka
1Cedars-Sinai Medical Center, Department of Medicine/AIM, Los Angeles, CA
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Abstract

1166

Objectives We aim to characterize normal limits using quantitative 3D myocardial wall thickening and motion on cardiac Magnetic Resonance Images (CMRI) with technetium-99mTc-sestamibi myocardial perfusion Single-Photon Emission Computed Tomographic (MPS) images.

Methods 23 consecutive subjects with normal left ventricular systolic function on visual image assessment of CMR and rest/stress MPS performed within 2 hours after CMR were analyzed. Rest MPS and CMRI scans were compared. 3D endocardial and epicardial surfaces were automatically determined with QGS algorithm on MPS. On MRI, 3D myocardial boundaries were fitted and visually corrected. Polar map 3D motion and thickening measurements were transformed into the standard 17-segment representation and 90th percentile normal limits for thickening and motion were computed.

Results Percent thickening increased from the basal to distal segments on both MRI and MPS (Table). For wall thickening, on MRI, (255/289) 90% of the segments values with positive visual scores (> 0) were higher than the 90th percentile limits. MPS resulted in 92% of segments with positive scores higher than the the 90th percentile limits. For wall motion analysis, on MRI, 90% of the segments (261/289) with scores > 0 were outside the 90th percentile. On MPS, 75% of the segments (218/289) with scores > 0 were outside the 90th percentile.

Conclusions Normal limits for wall motion/thickening have been established between MRI and SPECT. There are significant differences between these values in some regions and therefore these values could not be interchanged.


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Journal of Nuclear Medicine
Vol. 50, Issue supplement 2
May 2009
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Quantitative comparison of normal limits for regional wall motion and thickening for MRI and MPS
Mithun Prasad, Balaji Tamarappoo, Amit Ramesh, Paul Kavanagh, James Gerlach, Louise Thomson, Daniel Berman, Guido Germano, Piotr Slomka
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 1166;

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Quantitative comparison of normal limits for regional wall motion and thickening for MRI and MPS
Mithun Prasad, Balaji Tamarappoo, Amit Ramesh, Paul Kavanagh, James Gerlach, Louise Thomson, Daniel Berman, Guido Germano, Piotr Slomka
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 1166;
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