VISUALLY DETERMINED LONG-AXIS AND SHORT-AXIS PARASTERNAL VIEWS AND 4-CHAMBER AND 2-CHAMBER APICAL ECHOCARDIOGRAPHIC VIEWS DO NOT CONSISTENTLY REPRESENT PAIRED ORTHOGONAL PROJECTIONS
As. Katz et al., VISUALLY DETERMINED LONG-AXIS AND SHORT-AXIS PARASTERNAL VIEWS AND 4-CHAMBER AND 2-CHAMBER APICAL ECHOCARDIOGRAPHIC VIEWS DO NOT CONSISTENTLY REPRESENT PAIRED ORTHOGONAL PROJECTIONS, American journal of noninvasive cardiology, 7(2), 1993, pp. 65-70
The long-axis and short-axis two-dimensional (2-D) echocardiographic v
iews from the parasternal window and the four- and two-chamber views f
rom the apical window, respectively, are considered to be orthogonal t
o each other. The validity of this was tested using custom-designed 3.
5-MHz transducers with an electric motor that rotated the transducer b
y 2.9-degrees increments through 180-degrees about a central axis. Ima
ges were acquired beginning at the best appearing long-axis parasterna
l or apical four-chamber views and rotating, blinded to the degree of
rotation, to the best appearing short-axis or apical two-chamber views
. Imaging in 40 patients (age 15-89, mean 46) undergoing clinical echo
cardiography yielded 35 parasternal and 27 apical rotations adequate f
or analysis. The difference between 'orthogonal' views in degrees of r
otation were: (mean, minimum and maximum, respectively) from the paras
ternal window, 100 +/- 19-degrees, 64-degrees and 156-degrees, and fro
m the apical window, 95 +/- 21-degrees, 30-degrees and 136-degrees. De
viations from orthogonality exceeded 20-degrees in 12/35 (34%) paraste
rnal rotations and in 7/27 (26%) from the apical window; deviation exc
eeded 30-degrees in 4/35 (11%) and 5/27 (19%), respectively. Thus, on
average, the assumption of orthogonality between parasternal long- and
short-axis views and between the four- and two-chamber views is corre
ct, but there is wide deviation from this expectation in individual pa
tients. These deviations may affect the accuracy of 2-D echocardiograp
hic measurements and calculation of derived variables by methods that
assume orthogonality of projections.