Literature DB >> 21051725

Computer-assisted methods to evaluate retinal vascular caliber: what are they measuring?

Helena M Pakter1, Sandra C Fuchs, Marcelo K Maestri, Leila B Moreira, Luciana M Dei Ricardi, Vítor F Pamplona, Manuel M Oliveira, Flávio D Fuchs.   

Abstract

PURPOSE: Computer-assisted methods to measure retinal vessel diameters have been incorporated into research, but it is not clear which component of the vessels they are measuring. This study was conducted to compare measurements of retinal vessel diameter by using imaging-processing software on color fundus photographs (FPs) and fluorescein angiographs (FAs).
METHODS: FP and FA images were taken simultaneously in 52 eyes of 31 patients referred for angiography for diagnosis of retinal disease. Arteriolar and venular calibers were measured in two concentric zones around the optic disc center. Pearson correlation coefficients and Bland-Altman plots were used to evaluate the agreement between the measurements made by FP and FA.
RESULTS: The differences between the diameters measured by the microdensitometric method from FP and FA were 2.59 ± 8.67 μm in the inner arteriola, 4.93 ± 7.47 μm in the outer arteriola, -1,58 ± 8.49 μm in the inner venula, and -1.80 ± 7.28 μm in the outer venula. The differences plotted by the Bland-Altman method were slight. The Pearson correlation coefficients of measurements by FP and FA were 0.84 for inner zone and 0.87 for outer zone arterioles and 0.93 and 0.94 for the inner and outer zone venules, respectively.
CONCLUSIONS: The very slight differences between measurements of retinal vessel diameter by the two methods demonstrate that the microdensitometric method mostly measures the vessel lumen. Differences in vessel diameters measured by the microdensitometric method observed in clinical conditions may therefore be ascribed to variation in wall thickness or vasoconstriction.

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Year:  2011        PMID: 21051725     DOI: 10.1167/iovs.10-5876

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  8 in total

1.  Evaluating retinal vessel diameter with optical coherence tomography in normal-tension glaucoma patients.

Authors:  Takeshi Yabana; Yukihiro Shiga; Ryo Kawasaki; Kazuko Omodaka; Hidetoshi Takahashi; Koudai Kimura; Kyosuke Togashi; Takaaki Horii; Kei Sasaki; Testuya Yuasa; Toru Nakazawa
Journal:  Jpn J Ophthalmol       Date:  2017-06-30       Impact factor: 2.447

2.  Fully automatic algorithm for the analysis of vessels in the angiographic image of the eye fundus.

Authors:  Robert Koprowski; Sławomir Jan Teper; Beata Węglarz; Edward Wylęgała; Michał Krejca; Zygmunt Wróbel
Journal:  Biomed Eng Online       Date:  2012-06-22       Impact factor: 2.819

3.  Are Retinal Vessels Calibers Influenced by Blood Pressure Measured at the Time of Retinography Acquisition?

Authors:  Sandra C Fuchs; Helena M Pakter; Marcelo K Maestri; Marina Beltrami-Moreira; Miguel Gus; Leila B Moreira; Manuel M Oliveira; Flavio D Fuchs
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

4.  Normative data of retinal arteriolar and venular calibre measurements determined using confocal scanning laser ophthalmoscopy system - Importance and implications for study of cardiometabolic disorders.

Authors:  Gaurav Garg; Pradeep Venkatesh; Rohan Chawla; Brijesh Takkar; Shreyas Temkar; Sourav Damodaran
Journal:  Indian J Ophthalmol       Date:  2022-05       Impact factor: 2.969

5.  A stronger association of diabetes mellitus with impaired hyperaemia using a novel ECG-gated device compared with peripheral arterial tonometry.

Authors:  Anchal Lal; Neha Dave; Michael Anthony Barry; Annika Sood; Paul Mitchell; Aravinda Thiagalingam
Journal:  Int Ophthalmol       Date:  2022-06-07       Impact factor: 2.029

6.  A Deep Learning Architecture for Vascular Area Measurement in Fundus Images.

Authors:  Kanae Fukutsu; Michiyuki Saito; Kousuke Noda; Miyuki Murata; Satoru Kase; Ryosuke Shiba; Naoki Isogai; Yoshikazu Asano; Nagisa Hanawa; Mitsuru Dohke; Manabu Kase; Susumu Ishida
Journal:  Ophthalmol Sci       Date:  2021-02-23

7.  Enhancing Image Characteristics of Retinal Images of Aggressive Posterior Retinopathy of Prematurity Using a Novel Software, (RetiView).

Authors:  Chaitra Jayadev; Anand Vinekar; Poornima Mohanachandra; Samit Desai; Amit Suveer; Shwetha Mangalesh; Noel Bauer; Bhujang Shetty
Journal:  Biomed Res Int       Date:  2015-07-09       Impact factor: 3.411

8.  A method for visualization of fine retinal vascular pulsation using nonmydriatic fundus camera synchronized with electrocardiogram.

Authors:  Dinesh Kant Kumar; Behzad Aliahmad; Hao Hao; Mohd Zulfaezal Che Azemin; Ryo Kawasaki
Journal:  ISRN Ophthalmol       Date:  2013-03-10
  8 in total

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