Y. Rozenman et al., QUANTITATIVE VIDEODENSITOMETRIC TECHNIQUE FOR VERIFICATION OF OPTIMALCORONARY STENT IMPLANTATION, International journal of medical informatics, 51(1), 1998, pp. 51-57
Citations number
14
Categorie Soggetti
Computer Science Information Systems","Medical Informatics","Computer Science Information Systems
Coronary angiography is not sensitive enough to define the results of
stent implantation. Intravascular ultrasound defines accurately the an
atomy of the vessel and the stent within the vessel and is thus consid
ered the gold standard for defining the results of stent implantation.
However intravascular ultrasound is an additional invasive procedure
that is time consuming and expensive. This study describes a new simpl
e quantitative videodensitometric technique, developed specifically to
assess the results of stent implantation and compares the findings to
intravascular ultrasound. In the proposed algorithm for the videodens
itometric analysis, density profiles were constructed perpendicular to
the long axis of the stented segment and each one was compared (after
background subtraction) with a theoretic profile of a normal artery a
t that location. Density deficit index was determined at each point fr
om the actual and theoretic profiles and a global volumetric density d
eficit index was calculated for each stent by integrating the deficit
indices at all points along the stent. Similarly an area stenosis was
determined at each point along the stent (using the stent and normal v
essel cross sectional areas as defined by intravascular ultrasound) an
d the global volumetric stent stenosis was calculated by integrating t
he values of area stenosis along the stent. Twenty-five patients were
evaluated immediately before and after coronary stent implantation. Gl
obal density deficit index improved from 66.1 +/- 16.4% before (after
last balloon inflation) to 44.3 +/- 11.1% after stenting (P < 0.001).
The shape of the curves of densitometric deficit indices along each st
ent were similar to the equivalent area stenosis curves as determined
by intravascular ultrasound. The correlation (R = 0.74) between the gl
obal volumetric density deficit index and the global volumetric stent
stenosis is statistically significant (P < 0.001). In conclusion, in t
his preliminary report we describe a new algorithm for videodensitomet
ric analysis of the results of coronary stent implantation. As compare
d with intravascular ultrasound this method does not require an additi
onal invasive procedure and it is quick cheap and easy to carry out. (
C) 1998 Elsevier Science Ireland Ltd. All rights reserved.