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A P ilotS tudy inEvaluationofDysfunctionalHem odialysisVascular
A ccessU singS yngoiFlowR u Yu T AN ,Fu ChiehT S AI,T zeT ecCHO N G,ApporvaGO GN A,KianGuanL EE,S uh
ChienP AN G,AliciaHuiyingO ng,ChiehS uaiT AN
2
Background
• Dysfunctional hemodialysis vascular access remains amajor contributor of morbidity and mortality in patientswith end stage renal disease.
• Percutaneous methods of intervention is now standard ofcare
• Two-dimensional (2D) digital subtraction angiography(DSA) is the current gold standard imaging duringpercutaneous transluminal angioplasty (PTA) of vascularaccess.
1. Doelman C, Duijm LEM, Liem YS, et al. Stenosis detection in failing hemodialysis access fistulas and grafts:Comparison of color Doppler ultrasonography, contrast-enhanced magnetic resonance angiography, and digitalsubtraction angiography. Journal of Vascular Surgery. 2005;42(4)
3
Background
• Traditionally, diagnosis and the severity of stenosis isdetermined by anatomic measure of the lesion.
• Angiographic diameter measurement in percentreduction in vessel diameter however may not behemodynamically or clinically significant
• Anatomic with hemodynamic examination is thereforerecommended for measurement of disease severity
2. Gray RJ, Sacks D, Martin LG, Trerotola SO. Reporting standards for percutaneous interventions in dialysis access.Journal of vascular and interventional radiology : JVIR. 2003;14(9 Pt 2):S433-42
4
Background
• Currently available methods for hemodynamicassessment:
5
Background
• Syngo iFlow was developed with the intention to providean automatic tool for quantitative blood flow analysis.
• The temporal evolution of the contrast agent at a fixedposition can be recorded in a pixel-specific time-intensitycurve, computed mathematically and visualized as aparametric image.
• As such, the flow of contrast captured by DSA in manysequences can be combined into one single color-codedimage which can be used to assess quantitative bloodflow.
6
Hypothesis and Aim
• We hypothesize that– Parametric color coded DSA provided by syngo iFlow enables
hemodynamic quantification during percutaneous intervention ofhemodialysis vascular access
• Aim– To determine quantitative utility of syngo iFlow in assessment of
vascular access intervention outcome.
7
Methods
• Single center, retrospective study of patients whounderwent percutaneous intervention for dysfunctionaldialysis access
• DSA acquisitions (pre- and post-intervention) of 20patients (10 AVFs, 5 AVG, 5 central veins) were obtainedand converted to color image and anaysed using thesyngo iflow software
• Complex cases with multiple lesions were excluded
8
Methods
• Evaluation of conventional DSA– Diameter of stenotic and normal segment for each access was
measured pre- and post-intervention
– Percent stenosis = [1 − (Dstenosis/Dnormal)] × 100
– Improvement in percent stenosis =
(%pre-angioplasty - %post-angioplasty)/ %pre-angioplasty x 100
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Methods
Pre-PTA % stenosis = 76%
Post-PTA% stenosis = 30%
Improvement in % = 60%
Dstenosis= 4.91 m mDstenosis= 1.69 m mDnorm al= 7.02 m m
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Methods
• Evaluation of color coded DSA– ROIs were chosen before and after stenosis
– Time to peak (TTP) or time to maximum contrast opacificationwas obtained for each ROI
– The difference between the TTP of these 2 ROIs (dTTP)wereobtained, it represent the flow across the stenosis.
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Methods
• Differences between pre- and post-PTA dTTP
P re-P T A P ost-P T A
dT T P =1s dT T P =0s
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Time Attenuation Curve
• Quantification of contrast wash-out before and afterintervention was also obtained using the time attenuationcurve (TAC).
13
Time Attenuation Curve
50%
50 %ContrastW ash-outtim e=0.75s
ContrastW ash-in
ContrastW ash-out
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Time Attenuation Curve
50 % ContrastW ash-outtim e= 0.5s
ContrastW ash-in
ContrastW ash-out
50%
15
Statistical Analysis
• Data analyses were performed using SPSS version 21.Differences between percent of stenosis, dTTP and 50%contrast washout time pre and post angioplasty werecompared using paired sample t-test
• Pearson correlation was used to analyse the relationshipbetween dTTP and change in percentage of stenosis
16
Baseline Demographics
Characteristics N = 20
Age, years 67.5 (IQR 61.5, 70.75)
Female, n (%) 12 (60)
Ethnicity, n (%)
ChineseMalayIndian
14 (70)5 (25)1 (5)
Type of Access, n (%)
Arteriovenous fistulaArteriovenous graft
15 (75)5 (25)
Etiology of ESRD, n (%)
Diabetes MellitusHypertensionGlomerulonephritisOthers
8 (40)3 (15)8 (40)1 (5)
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Characteristics Vascular AccessesPatient No. Type of Access Site of Anastomosis Lesion
12345678910
AVFAVFAVFAVFAVFAVFAVFAVFAVFAVF
BrachiocephalicBrachiocephalicRadiocephalicRadiocephalic
BrachiocephalicRadiocephalic
BrachiocephalicBrachiocephalicBrachiobasilicRadiocephalic
Peripheral veinJuxta-anastomosisJuxta-anastomosisJuxta-anastomosisJuxta-anastomosisJuxta-anastomosisJuxta-anastomosisJuxta-anastomosis
Peripheral veinJuxta-anastomosis
1112131415
AVFAVFAVFAVFAVF
BrachiobasilicBrachiocephalicBrachiocephalicBrachiobasilicBrachiobasilic
Central veinCentral veinCentral veinCentral veinCentral vein
1617181920
AVGAVGAVGAVGAVG
BrachiobasilicBrachiobasilic
Femoral-femoralFemoral-femoralFemoral-femoral
Venous anastomosisVenous anastomosisVenous anastomosisVenous anastomosisVenous anastomosis
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Anatomic and Hemodynamic Changes
Variable P -value
Percent of stenosis, %
Pre-angioplasty
Post-angioplasty
70.55 ±19.36
29.75 ±19.81
<0.0001
dTTP, s
Pre-angioplasty
Post-angioplasty
0.41 ± 0.77
0.18 ± 0.13
0.011
50% Contrast Washout time, s
Pre-angioplasty
Post-angioplasty
0.80 ± 0.43
0.49 ± 0.31
0.024
All results were reported as mean ± SD unless otherwise specified
19
All Access
P earsonCorrelation0.40,p=0.072
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
0 20 40 60 80 100 120
dT
TP,s
P ercentChange inS tenosis,%
20
AVF
P earsonCorrelation0.631,p=0.050
-1
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
0 10 20 30 40 50 60 70 80 90 100
dT
TP,
s
P ercentChange inS tenosis,%
21
AVG
P earsonCorrelation-0.568,p=0.299
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
0 10 20 30 40 50 60 70 80 90
dT
TP,
s
P ercentChange inS tenosis,%
22
Central
P earsonCorrelation0.104,p=0.868
0
0.1
0.2
0.3
0.4
0.5
0.6
0 20 40 60 80 100 120
dT
TP,
s
P ercentChange inS tenosis,%
23
Discussions
• The ability to assess TTP at various ROIs before andafter PTA is useful in assessing blood flow rate whichwas previously impossible with standard DSA
• There was significant improvement in dTTP and 50%contrast wash-out time post-angioplasty – indicateimprovement in blood flow rate across stenosis
• dTTP correlates with percent change in stenosis on AVFlesions
• However, the same correlation was not seen in AVG andcentral veins – small numbers?
24
Limitations
• Single centre, retrospective study
• Small number – insufficient statistical power forcorrelation analysis
• Hand injection of contrast – risk of deviation of flow rate
• Quality of color image may be affected by movementartefacts
25
Conclusions
• Nevertheless, this is the first study on adjunctive use ofparametric color coding as a postprocessing algorithm inhemodialysis access and we found that it provides usefulhemodynamic information in evaluation of adequacy oftreatment of vascular access.
• A larger scale prospective study with correlation withhemodynamic parameters such as pressure andtransonic flow rate, using injector should be performed
T HA N K YO U
27
Prospective Study – Preliminary Results
28
Prospective Study – Preliminary Results
Mean TTPs (s) Pre Angioplasty Post Angioplasty P-value
ROIRef 1.87 ± 0.55 1.50 ± 0.33 <0.01
ROI0 1.99 ± 0.71 1.43 ± 0.36 <0.01
ROI1 2.15 ± 0.67 1.56 ± 0.35 <0.01
ROI2 2.27 ± 0.70 1.72 ± 0.29 <0.01
29
Prospective Study – Preliminary Results
Mean Transonic Flow
(mL/min)
syngo iFlow Pearson’s
Correlation
P-
value
Calculated Flow
(mL/min)
970.6 ± 440.4 968.6 ±
633.9
0.359 0.19
Post-Angioplasty
TTP (s)
RRef 970.6 ± 440.4 1.50 ± 0.33 -0.428
R0 970.6 ± 440.4 1.43 ± 0.36 -0.019 0.94
R1 970.6 ± 440.4 1.56 ± 0.35 -0.171 0.50
R2 970.6 ± 440.4 1.72 ± 0.29 -0.307 0.22