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, Helena M. Pakter 1 Graduate Studies Program in Epidemiology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Elton Ferlin 3 Graduate Studies Program in School of Medicine, Division of Medical Engineering, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Sandra C. Fuchs 1 Graduate Studies Program in Epidemiology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil 2 Graduate Studies Program in Medical Sciences, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Marcelo K. Maestri 4 Division of Ophthalmology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Ruy S. Moraes 6 Division of Cardiology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Gerson Nunes 6 Division of Cardiology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Leila B. Moreira 2 Graduate Studies Program in Medical Sciences, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil 5 Division of Clinical Pharmacology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Miguel Gus 2 Graduate Studies Program in Medical Sciences, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil 6 Division of Cardiology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Search for other works by this author on: Oxford Academic Flávio D. Fuchs 2 Graduate Studies Program in Medical Sciences, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil 6 Division of Cardiology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil Address correspondence and reprint requests to Dr. Flávio Danni Fuchs, Serviço de Cardiologia, Sala 2061, Hospital de Clínicas de Porto Alegre, Ramiro Barcelos, 2350 , 90035-903, Porto Alegre , RS, Brazil E-mail: ffuchs@hcpa.ufrgs.br Search for other works by this author on: Oxford Academic
American Journal of Hypertension, Volume 18, Issue 3, March 2005, Pages 417–421, https://doi.org/10.1016/j.amjhyper.2004.10.011
Published:
01 March 2005
Article history
Received:
27 July 2004
Accepted:
04 October 2004
Published:
01 March 2005
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Helena M. Pakter, Elton Ferlin, Sandra C. Fuchs, Marcelo K. Maestri, Ruy S. Moraes, Gerson Nunes, Leila B. Moreira, Miguel Gus, Flávio D. Fuchs, Measuring arteriolar-to-venous ratio in retinal photography of patients with hypertension: Development and application of a new semi-automated method, American Journal of Hypertension, Volume 18, Issue 3, March 2005, Pages 417–421, https://doi.org/10.1016/j.amjhyper.2004.10.011
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Abstract
Background:
The extent of arteriolar narrowing has been recognized as a major sign of end-organ damage in patients with hypertension, but most methods used for its evaluation are highly dependent on the observer. We describe a new semi-automated method to measuring arteriolar-to-venous (A/V) ratio in retinal photography and present its application in the evaluation of patients with hypertension.
Methods:
In a cross-sectional study, 58 patients with hypertension had retinographies taken and digitized to determine the vessel diameter by direct measurement (micrometric method) or by the new microdensitometric method. Sub-pixel resolution was obtained via cubic spline fitting of the edge of vessel walls. For each pair of adjacent pixels, 10 intermediate points were generated in the perpendicular direction of the wall. Vessel widths were automatically extracted from this synthetic curve, with cut-points defined where the exterior wall position equals the double of mean noise along the slice.
Results:
The intra- and interobserver κ statistics for the diagnosis of abnormal A/V ratio by the microdensitometric measurements were 0.93 (P < .0001) and 0.85 (P = .0005), respectively. Systolic blood pressure was inversely and significantly associated with the A/V ratio measured by the microdensitometric method.
Conclusions:
The microdensitometric method is reliable, is easy to operate, and captures the expected association between blood pressure and retinal vessels narrowing. Its performance in clinical practice and in the prediction of cardiovascular events should be confirmed in larger databases with retinographies. Am J Hypertens 2005; 18:417–421 © 2005 American Journal of Hypertension, Ltd.
Hypertension, retinal arteriolar narrowing, microdensitometric method
Retinal vessels offer a unique opportunity to investigate noninvasively the relationship between arteriolar characteristics and cardiovascular disease. The association between retinal vessel abnormalities and high blood pressure (BP) has been described since the pioneering work of Keith, Wegener, and Baker1 and has been demonstrated in larger contemporaneous cohorts2,3 Moreover, arteriolar narrowing predicts the incidence of diabetes,4 coronary artery disease,5 and stroke.6 In two recent reports, narrowed retinal arterioles were shown to be independently associated with long-term risk of hypertension,7,8 strengthening the idea that arteriolar constriction and narrowing may play a critical role in the earliest stages of the disease.
Because recognition of retinal abnormalities by direct ophthalmoscopy is subject to a large interobserver variation,9–12 several investigators have developed quantitative methods to detect retinal microvascular changes documented by retinal photographs.13–18 Reliable methods are available,18,,20 but most of them seem to require a well-trained observer to recognize the border of the vessels.
In this report, we describe a new semi-automated method to evaluate the diameter of retinal vessels that does not depend on the identification of the vascular border, and we present an example of its use in the evaluation of patients with hypertension.
Methods
Our data derive from a cross-sectional analysis in a cohort study of patients attending to the outpatient hypertension clinic of the Hospital de Clínicas de Porto Alegre, Brazil. Details of the systematic evaluation of these patients and results of this investigation have been reported elsewhere.21–23 For this investigation, all patients consecutively examined between 1993 and 1999 underwent retinal photography along with the complete evaluation of our protocol. The mean of six BP measurements, taken during three different visits, was used to diagnose hypertension. Patients were considered to having hypertension if their systolic BP (SBP) was ≥140 mm Hg or their diastolic BP (DBP) was ≥90 mm Hg, or if they were taking BP-lowering medications. Patients presenting with secondary hypertension, diabetes mellitus, or other systemic or ocular disease involving the retina were excluded.
In the total, 58 patients that met the eligibility criteria and had retinography suitable for analysis were evaluated. The photographs were analyzed by wall projection-micrometric method, in a previous study of the association between optic fundi abnormalities and stages of hypertension.24 For the development of this new method, retinal photographs were digitized to determine the vessel diameter by the microdensitometric method.
Retinal photography
After pharmacologic pupil dilation (20 min after instillation of tropicamine), retinography was obtained using Topcon TVR-50 retinal camera (Topcon, Japan) in a 35-degree angle focusing in the posterior polo and the four quadrants (superior-nasal, inferior-nasal, superior-temporal, and inferior-temporal).
The color slides were digitized in a 35-mm film scanner Hewlett Packard model Photo Smart 20S (Hewlett Packard, Andover, MA) with a resolution of 600 dots per inch. Images were stored in 24 bits (true color). To enhance contrast of the retinal vessels against the retinal pigment epithelium, the green channel of the bitmap was selected.
Microdensitometric method
Image processor measurement
A custom-designed software program was built to perform vessel width measurements. The user defines the optic disc setting the center and average external boundary. Two concentric zones were delimited: inner zone (A), ranging from one half of the disc diameter to one full disc diameter; and outer zone (B), between one and two disc diameters from the margin.
Vessel measurements were done in a single vessel mode (arteriole or venule) and arteriolar-to-venous (A/V) ratio mode. The single-vessel mode was used to measure non-parallel pairs of vessels, whereas the A/V ratio mode was used for parallel pairs of vessels. In the single-vessel mode, the operator identified the type of vessel (arteriole or venule) to be automatically measured. In the A/V ratio mode, the operator determined two parallel adjacent vessels, and the program considered the wider vessel a vein and the thinner vessel an artery. We measured the most visible pair of vessels in each quadrant present in the photograph, and the program averaged these measurements.
For each measurement, a working area was constructed around the vessel of interest after setting an axis along its direction. Width measurements were performed in a plane perpendicular to this axis. An edge detection procedure was applied to the selected image. A double convolution was done using an approximation of the Sobel operator.25,26 Sub-pixel resolution was obtained via cubic spline fitting of the edge of vessel walls. For each pair of adjacent pixels, 10 intermediate points were generated in the perpendicular direction of the wall. Vessel widths were automatically extracted from this synthetic curve, with cut-points defined where the exterior wall position equals the double of mean noise along the slice.
To test reproducibility of the microdensitometric method, 20% of the retinal photographs were randomly select and re-analyzed by the same observer (intraobserver reliability) and by a different observer (interobserver reliability). To access validity of the semi-automated method, the retinographies were also analyzed using standard grading.
Standard retinography analysis by micrometric method
The retinography was projected into a white screen 2 meters from the projector. All measurements were made in millimeters using a ruler. Arteriolar narrowing was estimated by A/V ratio. The vessels widths were examined at the same zones delimited for the microdensitometric method (inner and outer zones).
Arteriolar narrowing estimation
Arteriolar narrowing was considered present if the A/V ratio, as determined by both microdensitometric and micrometric methods, was ≥0.67 (arteriolar width equal to or less than two-thirds of the width of the venules). This cut-off point was chosen because it corresponds to the 75th percentile of the A/V distribution, as measured by the microdensitometric method.
Statistical analysis
Intra- and interobserver reliability of A/V ratio measurements were tested by intraclass correlation coefficient. The agreement between the two methods of determining A/V ratio measurements was tested using the intraclass correlation coefficient, and the agreement in determining the presence or absence of arteriolar narrowing was tested using the κ statistic. Sensitivity, specificity, and predicted values for the microdensitometric method were calculated using the results obtained by the micrometric method as the reference test.
The association between systolic, diastolic, and mean arterial BP and A/V ratio was tested using multiple regression analysis. The Statistical Program for Social Sciences, version 11.0 (SPSS Inc., Chicago, IL) and Epidat, version 2.1, PAHO-WHO software were used for analysis.
The institutional review board approved this study, and all patients gave their written consent to participate.
Results
As shown in Table 1, the participants included in the analysis were predominantly middle-aged, overweight, and female. More than 50% were smokers.
Table 1
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Characteristics of the patients studied
Characteristic | Patients (N = 58) |
---|---|
Age (y) | 50.7 ± 11.4 |
Male sex | 18 (31.0) |
Systolic blood pressure (mm Hg) | 157.8 ± 25.0 |
Diastolic blood pressure (mm Hg) | 97.2 ± 13.6 |
Body mass index (kg/m2) | 27.5 ± 4.2 |
Smoker | 32 (55) |
Characteristic | Patients (N = 58) |
---|---|
Age (y) | 50.7 ± 11.4 |
Male sex | 18 (31.0) |
Systolic blood pressure (mm Hg) | 157.8 ± 25.0 |
Diastolic blood pressure (mm Hg) | 97.2 ± 13.6 |
Body mass index (kg/m2) | 27.5 ± 4.2 |
Smoker | 32 (55) |
Data are given as mean ± SD or n (%).
Table 1
Open in new tab
Characteristics of the patients studied
Characteristic | Patients (N = 58) |
---|---|
Age (y) | 50.7 ± 11.4 |
Male sex | 18 (31.0) |
Systolic blood pressure (mm Hg) | 157.8 ± 25.0 |
Diastolic blood pressure (mm Hg) | 97.2 ± 13.6 |
Body mass index (kg/m2) | 27.5 ± 4.2 |
Smoker | 32 (55) |
Characteristic | Patients (N = 58) |
---|---|
Age (y) | 50.7 ± 11.4 |
Male sex | 18 (31.0) |
Systolic blood pressure (mm Hg) | 157.8 ± 25.0 |
Diastolic blood pressure (mm Hg) | 97.2 ± 13.6 |
Body mass index (kg/m2) | 27.5 ± 4.2 |
Smoker | 32 (55) |
Data are given as mean ± SD or n (%).
Figure 1 presents an example and the description of the output of our software for determining the arterial and venous widths. As can shown in Fig. 1, the participation of the observer is restricted to the selection of the point for measurement of vessel width. The software calculates the width of arterioles and veins, and the A/V ratios both for the inner and outer zone. If the pair of vessels was not parallel, the single-vessel mode was used: that is, the width of each vessel was measured separately and A/V ratio was then calculated. The software permits the examiner to see clearly the thickness of the vessels. The present analysis was restricted to the measurement of the external diameter of arterioles and venules.
Semi-automated measuring module of custom-made software. (Superior right window [1]:) The observer determines the center and margin of the optic nerve head. The software automatically delimits two concentric zones: the inner zone (A), ranging from one half of the disc diameter to one full disc diameter, and the outer zone (B), between one and two disc diameters from the margin. (Superior left window [2]:) The observer chooses the vessel segment to be measured and draws a line parallel to it. The software automatically rotates the image to make all vessel diameter measurements perpendicular to the vessel axis. (Inferior left window [3]:) (Right:) The software runs an edge detection routine and the observer chooses the point at which the vessel diameter (red line) should be determined. (Left:) The program automatically plots a line corresponding to the pixel intensity of the segment chosen by the observer. (Top:) Diameter of the first vessel (Va = 160), diameter of the second vessel (Vb = 129), and respective ratios (Va/Vb = 1.24 and Vb/Va = 0.74).
Figure 1.
Open in new tabDownload slide
The intraclass correlation coefficient between micrometric and microdensitometric methods for A/V ratio measurement was 0.63 (P < .001) for the inner zone and 0.72 for the outer zone (P < .001). The global agreement was 59% for the inner zone and 83% for the outer zone. As shown in Table 2, the agreement between the methods to diagnose arteriolar narrowing reached a higher κ coefficient for the outer zone.
Table 2
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Intraclass correlation coefficient between methods of measuring arteriolar narrowing and κ coefficients calculated for intra- and interobserver reliability
Inner zone | Outer zone | |
---|---|---|
Intraclass correlation between methods | 0.63 | 0.72 |
Micrometric method | ||
Intraobserver κ | 0.74 | 0.79 |
Microdensitometric method | ||
Intraobserver κ | 0.94 | 0.93 |
Interobserver κ | 0.88 | 0.85 |
Inner zone | Outer zone | |
---|---|---|
Intraclass correlation between methods | 0.63 | 0.72 |
Micrometric method | ||
Intraobserver κ | 0.74 | 0.79 |
Microdensitometric method | ||
Intraobserver κ | 0.94 | 0.93 |
Interobserver κ | 0.88 | 0.85 |
P < .001 for all estimates.
Table 2
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Intraclass correlation coefficient between methods of measuring arteriolar narrowing and κ coefficients calculated for intra- and interobserver reliability
Inner zone | Outer zone | |
---|---|---|
Intraclass correlation between methods | 0.63 | 0.72 |
Micrometric method | ||
Intraobserver κ | 0.74 | 0.79 |
Microdensitometric method | ||
Intraobserver κ | 0.94 | 0.93 |
Interobserver κ | 0.88 | 0.85 |
Inner zone | Outer zone | |
---|---|---|
Intraclass correlation between methods | 0.63 | 0.72 |
Micrometric method | ||
Intraobserver κ | 0.74 | 0.79 |
Microdensitometric method | ||
Intraobserver κ | 0.94 | 0.93 |
Interobserver κ | 0.88 | 0.85 |
P < .001 for all estimates.
Sensitivity, specificity, and predictive values of the microdensitometric method to detect arteriolar narrowing are shown in Table 3. Noticeably, sensitivity, specificity, and predictive values were higher in the outer than in the inner zone.
Table 3
Open in new tab
Sensitivity, specificity and predictive values (95% confidence interval) of microdensitometric method with micrometric method (reference test)
N | Sensitivity | Specificity | Positive predictive value | Negative predictive value | |
---|---|---|---|---|---|
Inner zone* | 49 | 90.5 (68.2–98.3) | 35.7 (19.3–55.9) | 51.4 (34.7–67.8) | 83.3 (50.9–97.1) |
Outer zone† | 53 | 96.4 (79.8–99.8) | 61.1 (36.1–81.7) | 79.4 (61.6–90.7) | 91.7 (59.8–99.6) |
N | Sensitivity | Specificity | Positive predictive value | Negative predictive value | |
---|---|---|---|---|---|
Inner zone* | 49 | 90.5 (68.2–98.3) | 35.7 (19.3–55.9) | 51.4 (34.7–67.8) | 83.3 (50.9–97.1) |
Outer zone† | 53 | 96.4 (79.8–99.8) | 61.1 (36.1–81.7) | 79.4 (61.6–90.7) | 91.7 (59.8–99.6) |
* P = .05;
† P < .001.
Table 3
Open in new tab
Sensitivity, specificity and predictive values (95% confidence interval) of microdensitometric method with micrometric method (reference test)
N | Sensitivity | Specificity | Positive predictive value | Negative predictive value | |
---|---|---|---|---|---|
Inner zone* | 49 | 90.5 (68.2–98.3) | 35.7 (19.3–55.9) | 51.4 (34.7–67.8) | 83.3 (50.9–97.1) |
Outer zone† | 53 | 96.4 (79.8–99.8) | 61.1 (36.1–81.7) | 79.4 (61.6–90.7) | 91.7 (59.8–99.6) |
N | Sensitivity | Specificity | Positive predictive value | Negative predictive value | |
---|---|---|---|---|---|
Inner zone* | 49 | 90.5 (68.2–98.3) | 35.7 (19.3–55.9) | 51.4 (34.7–67.8) | 83.3 (50.9–97.1) |
Outer zone† | 53 | 96.4 (79.8–99.8) | 61.1 (36.1–81.7) | 79.4 (61.6–90.7) | 91.7 (59.8–99.6) |
* P = .05;
† P < .001.
We found that SBP and mean arterial BP were inversely and significantly associated with A/V ratio at the outer zone. For every increment of 10 mm Hg in the SBP, there was a decrease of 0.03 units of A/V ratio. The association between diastolic DBP and A/V ratio showed the same trend; however, this did not reach statistical significance (Table 4).
Table 4
Open in new tab
Multiple linear regression model of systolic, diastolic, and mean arterial blood pressure (mm Hg) on arteriolar-to-venous ratio measured by microdensitometric method, adjusted for age
β | SE | P value | |
---|---|---|---|
Systolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .8 |
Outer zone | −0.003 | 0.001 | .014 |
Diastolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .9 |
Outer zone | −0.002 | 0.001 | .078 |
Mean arterial blood pressure | |||
Inner zone | −0.000079 | 0.001 | .9 |
Outer zone | −0.003 | 0.001 | .025 |
β | SE | P value | |
---|---|---|---|
Systolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .8 |
Outer zone | −0.003 | 0.001 | .014 |
Diastolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .9 |
Outer zone | −0.002 | 0.001 | .078 |
Mean arterial blood pressure | |||
Inner zone | −0.000079 | 0.001 | .9 |
Outer zone | −0.003 | 0.001 | .025 |
Table 4
Open in new tab
Multiple linear regression model of systolic, diastolic, and mean arterial blood pressure (mm Hg) on arteriolar-to-venous ratio measured by microdensitometric method, adjusted for age
β | SE | P value | |
---|---|---|---|
Systolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .8 |
Outer zone | −0.003 | 0.001 | .014 |
Diastolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .9 |
Outer zone | −0.002 | 0.001 | .078 |
Mean arterial blood pressure | |||
Inner zone | −0.000079 | 0.001 | .9 |
Outer zone | −0.003 | 0.001 | .025 |
β | SE | P value | |
---|---|---|---|
Systolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .8 |
Outer zone | −0.003 | 0.001 | .014 |
Diastolic blood pressure | |||
Inner zone | 0.0001 | 0.001 | .9 |
Outer zone | −0.002 | 0.001 | .078 |
Mean arterial blood pressure | |||
Inner zone | −0.000079 | 0.001 | .9 |
Outer zone | −0.003 | 0.001 | .025 |
Discussion
In this article, we present a new semi-automated method to determine the A/V retinal vessels ratio that is mostly independent of the observer. Direct ophthalmoscopy is subject to large intra- and interobserver variation.9–11 Poor agreement between an ophthalmologist and a cardiologist to detect arteriolar narrowing using direct ophthalmoscopy has also been identified.12
In the micrometric methods currently available, the observer must locate the retinal vessel edge from an enlarged or projected retinal image and must determine the vessel diameter with the aid of some measuring device. These procedures are susceptible to measurement bias.27,28 In our microdensitometric method, the observer needs only to identify the areas in the inner and outer zone where the software takes the measurements and calculates the average A/V ratio. The κ coefficients for intraobserver agreements were close to 1 for the inner and outer zones, demonstrating the precision of this method. The interobserver coefficient was also satisfactory. They compared favorably with a method tested in a population-based study29 and with the method used in the Atherosclerosis Risk in Communities (ARIC) study.19
The sensitivity for arteriolar narrowing detection of our method was satisfactory for both the inner and outer zones, but it had low specificity, especially in the inner zone. For the analysis of sensitivity and specificity, however, the reference test was the micrometric method. The low intraobserver reliability of this method suggests that it may not be the best standard to measure A/V ratio, and that computer-assisted method will be the gold standard in the future.
Outer-zone measurements were more reliable and accurate than inner-zone measurements. Arteriolar narrowing usually appears first in the pre-arteriole capillaries; it is more prominent in second- and third-order arterioles and is less frequent near the optic disc.30 For this reason, first-order arterioles should be measured with some distance from the disc. Most of the studies in the literature describe measurements made from one and one-half-disc diameters from the margin of the papilla. Furthermore, color photography depicts the blood column. Therefore, such measurements give only estimates of the real vessel diameter. Our method measures the width of the vessel and may permit measurement of the vessel thickness. The implication of these different measurements should be investigated in studies with larger sample sizes.
Recent studies have shown a strong association between decreased A/V ratio and the incidence of diabetes,4 coronary artery disease,5 stroke,6 and hypertension.7,8 In the ARIC study, generalized arteriolar narrowing was associated with hypertension, related not only to current but also to past BP levels, even after adjustment for current BP.3 Previous studies suggested that absolute measures of retinal arteriolar and venular diameters predict different outcomes; thus, the A/V ratio may not capture the separate information of arterioles and venules. Most recent studies on the risks of generalized arteriolar narrowing, however, have used the AV ratio, because the venular diameters vary little.14
We explored the performance of our method of measuring the AV ratio in a relatively small sample of patients with hypertension. Our findings are in accordance with those described in the ARIC study and other larger cohorts. We found an inverse and statistically significant association between SBP and A/V ratio, independently of age. An increment of 10 mm Hg in SBP corresponded to a decrease in 0.02 units of A/V ratio. Beside this observation, the evaluation of retinal vessels diameters may give rise to a new field of research, looking at the association between abnormalities in the retinal microcirculation in the pre-hypertensive stage with consideration to future development of hypertension and also results of pharmacologic interventions.
In summary, we described a new, highly reliable, semi-automated technique to analyze A/V ratio on digitized retinography that is mostly independent of the observer. Its simplicity in the detection of retinal microvascular abnormalities might have clinical and epidemiologic utility in identifying individuals at higher risk of end-organ damage and cardiovascular events, among patients with and without hypertension.
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© American Journal of Hypertension, Ltd. 2005
Topic:
- hypertension
- systolic blood pressure
- blood pressure
- photography
- retinal vessels
- diagnosis
- noise
- end organ damage
- cardiovascular event
- pixel
- diameter
Issue Section:
ORIGINAL CONTRIBUTIONS
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