implementation of digital optical capillaroscopy for...
TRANSCRIPT
Implementation of digital optical capillaroscopy for quantifying and
estimating the microvascular abnormalities in diabetes mellitus
Yu.I. Gurfinkel, O.V. Suchkova, M.L. Sasonko Research Clinical Center of JSC “Russian Railways”, Moscow, Russia
A.V. Priezzhev Lomonosov Moscow State University, Moscow, Russia
V.M.Volkov, N.B.Margaryants
ITMO University, St. Petersburg, Russia
Saratov, Russia 2015
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Diabetes mellitus (DM) affects approximately 387 million
persons worldwide and is expected to dramatically rise in
both industrially developed and developing countries in the
next decades (www.idf.org/diabetesatlas, 2014).
Diabetic patients have higher susceptibility than nondiabetic
individuals to develop major cardiovascular events, such as
myocardial infarction, stroke, and cardiovascular death,
because of an inability of the vascular systems to adequately
perfuse tissues and organs relative to their metabolic demand
(Levitan, et al. 2004).
Diabetes mellitus, whether insulin dependent or
not, is associated with increased prevalence of
macro- and microangiopathy (Bolinger and Fagrel, 1991).
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This study was aimed to define the extent of digital capillaroscopy possibilities for the quantification and estimation of the level of
microvascular abnormalities in diabetes mellitus
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Participants and method
A total of 196 adult persons were examined in the study.
The first group consisted of 52 patients with compensated DM, the level of glycated hemoglobin (HbA1c) was 6.3 ± 0.5 %.
The second group included 68 patients without compensation of DM (HbA1c 9.4 ± 1.7 %).
The group of volunteers (n = 76) included healthy adults with normal blood glucose and without signs of cardiovascular pathology.
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Microcirculation study
The capillary circulation in all participants of the study group was examined with the nail-bed using the digital optical capillaroscope developed by the company "AET", Russia. This instrument is equipped with a sophisticated image-processing program allowing for quantifying the diameters of the arterial and venous segments of the capillaries and their ratio (coefficient of remodeling), perivascular zone size, capillary blood velocity, the degree of arterial loops narrowing and the density of the capillary network. Also we estimated the relative amount of coil-shaped capillaries.
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Clinical characteristic of participants (n=196)
Parameters
Healthy volunteers
(n = 76)
Compensated diabetes
(n = 52)
Decompensated diabetes
(n = 68)
Age, years 52.2 ± 8.7 52.8 ± 8.7 52.8 ± 8.1
Duration, years ---- 4.9 ± 4.2 5.7 ± 5.7
HBA1C, % 5.3 ± 0.5 6.3 ± 0.5* 9.4 ± 1.7*
Male/Female 31/45 21/31 26/42
BMI, kg/m2 25.8 ± 2.7 32.4 ± 6.4* 33.5 ± 6.2*
Systolic BP, mm Hg 115,1±10,9 124,5±15,4* 132,4±18,6*/**
Diastolic BP, mm Hg 70,0±8,1 75,9±11,0* 79,4±11,6*
Pulse, beats/ min 67,4±8,1 73,7±10,7* 76,6±11,2*
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Note: HBA1C, %- glycated hemoglobin; BMI- Body mass index; Male/Female - Gender, number;
Duration- duration of diabetes, years. Comparison was conducted between pairs: healthy volunteers group and 1-st group, healthy volunteers group
and 2-nd group.
Microscope + CMOS
camera up to 200 frame/sec
Computer + original
software
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Details of data processing
1) Image sequence stabilization -compensation of frame shifts (dx,dy,da)
- high precision stabilization with multiple base frames
2) Capillaries detection -edges detection
-blood flow velocity estimation
-capillary lines detection
-capillary radius detection
3) Local parameters of blood flow recovery -local blood flow detection at points of capillary lines
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Image sequence stabilization (initial stabilization with dx,dy correction)
Frame shifts )1,1()2,2( dxdydxdy nn of frame n from the base frame n0, are calculated
by:
1
0
1
0
1
0
1
0
2
1,1,,,0
))1,..,0)1(()1,..,0)1(((,0
)1,..,0)1(()1,..,0)1((,1
))1,..,0)1(()1,..,0)1(((,0
)1,..,0)1(()1,..,0)1((,)(
:)1,1(Y
y
X
x
Y
y
X
x
dxxdyynxyn
XdxxYdyy
XdxxYdyy
XdxxYdyy
XdxxYdyyAA
dxdy
1
0
1
0
1
0
1
0
2
,,,,0
,..,,..,
))1,..,0)(()1,..,0)(((,0
)1,..,0)(()1,..,0)((,1
))1,..,0)(()1,..,0)1(((,0
)1,..,0)(()1,..,0)((,)(
minY
y
X
x
Y
y
X
x
dxxdyynxyn
mdmddxmdmddy
XdxxYdyy
XdxxYdyy
XdxxYdyy
XdxxYdyyAA
,
where 1,..,0 Nn , md is the maximum of frame sequence xynA ,, shift.
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Image sequence stabilization (advanced stabilization with dx,dy,da correction, 10 base frames)
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Before stabilization Data preprocessing compensated
low-frequency (background) and
high frequency (noise matrix
camera) components and improve
the contrast of the capillaries.
Final stage of stabilization
Capillary blood velocity estimation
Averaged
capillary blood
velocity (pix/frame)
(fram
es)
Local capillary blood velocity (pix/frame)
Capillary radius (pix)
Capillary area (pix^2)/30
Capillary line
points (num)
Capillary line points (num)
Capillary line and markers
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m1,m2 – borders of
arterial segment m3,m4 – borders of
venous segment
m1 m2 m3 m4
Local capillary blood velocity estimation (contrasted capillaries, capillary lines, markers, capillary blood velocity)
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Comparative microcirculation parameters of participants (n=196)
Parameters
Healthy volunteers
(n = 76)
Compensated diabetes
(n = 52)
Decompensated diabetes
(n = 68)
PZ size, µm 101.3 ± 15.2 105.2 ± 12.6 110.1 ± 16.5*
Arterial diameter, µm 8.5 ± 2.0 8.4 ± 2.0 7.5 ± 1.5 */**
Apex diameter, µm 14.7 ± 3.4 14.9 ± 3.4 14.6 ± 3.9
Venous diameter, µm 11.3 ± 2.3 12.2 ± 2.9* 12.4 ± 2.7*
Remodeling coefficient 1.36 ± 0.14 1.47 ± 0.22* 1.63 ± 0.19*/**
Coiling, аrbitrary units 1.49 ± 1.39 1.96 ± 0.74* 2.08 ± 0.65*
Density, аrbitrary units 2.19 ± 0.62 1.84 ± 0.76* 1.96 ± 0.68*/**
Polymorphism, аrbitrary units 1.59 ± 0.69 2.02 ± 0.76* 2.03 ± 0.6*
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Note: *- statistical significance of the estimated parameter was obtained while comparison of the diabetes group with the group of volunteers,
with adjustment for multiple comparisons; **- statistical significance of the estimated parameter was obtained while comparison between both
diabetes group, with adjustment for multiple comparisons;
PZ size - perivascular zone size, Arterial diameter - diameter of arterial segment; Apex diameter - diameter of apex segment; Venous
diameter - diameter of venous segment; Remodeling coefficient - ratio of capillary venous segment diameters to arterial segment
diameters, Coiling - degree of capillaries coiling; Density - density of the capillary network; Polymorphism - capillary polymorphism;
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Comparison remodeling factor and capillary
blood velocity (CBV) in studied groups
Results The study revealed significant difference in the capillary density but not in the capillary density between the patients with compensated and decompensated DM.
The number of coil-shaped capillaries differed greatly in patients healthy subjects as compared to the DM patients, capillary network of diabetic patients had signs of polymorphism significantly more than in healthy subjects.
In DM patients the significant narrowing of the arterial segments and dilatation of the venous segments of capillaries have led to increase the coefficient of remodeling in comparison with non-diabetic individuals.
The study revealed a reduction in capillary blood velocity in patients with diabetes compared to healthy volunteers.
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Conclusions
Thus, the digital optical capillaroscopy equipped with the state-of-the-art image-processing algorithm opens up new possibilities for obtaining clinically important information on microvascular abnormalities in patients suffering from diabetes mellitus.
Acknowledgment. The investigation was partially supported by the Russian Scientific Foundation grant № 14-15-00602.
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