Data di Pubblicazione:
2015
Abstract:
In 2002 the Cardiac Imaging Committee of the Council on Clinical
Cardiology of the American Heart Association defined a standard for
segmentation, nomenclature and display of the tomographic images of the
heart. The "bull's-eye" plot defines how to divide the left ventricular (LV)
myocardium in 17 segments, giving a name to each segment and assigning
individual segments to the main coronary perfusion territories. Such display
has been widely accepted by all imaging modalities, as evidenced by the huge
number of scientific quotations. However, the graphical display of a threedimensional
solid on a two-dimensional plane necessarily implies a distortion
or a partial representation of the object. In the case of cardiac imaging such a
distortion could affect the representation of the extent of a variety of
pathological processes, such as myocardial perfusion deficits, wall motion
abnormalities, left ventricular hypertrophy, or scars. With this in mind, we
aimed to evaluate how the classical display in polar coordinates affects the
visual assessment of myocardial infarct extension, and if this graphic display
might be modified to provide a more likely information. Cardiac magnetic
resonance was performed on 38 patients with mycardial infarction. The global
and regional LV volumes, as well as the myocardial infarctum (MI) size, were
measured using a validated semiautomatic method: boundaries were
automatically traced and manually corrected when needed. All sizes were
expressed as percent of LV mass, to be linked to the areas of the bull's-eye
regions. The infarct size was assessed by the scores. To improve the clinician's
perception of the heart, we propose some alternatives which take into account
a more likely view of the percent distribution of the LV volumes on a twodimensional
representation, while keeping the conventional 17 segments
organization, although providing a customized bull's eye closer to the real LV
of each patient.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
cardiovascular imaging
Elenco autori:
Pingitore, Alessandro; Ferdeghini, EZIO MARIA; Rovai, Daniele
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