Literature DB >> 27383509

Retinal microvascular diameter, a hypertension-related trait, in ECG-gated vs. non-gated images analyzed by IVAN and SIVA.

Fang-Fei Wei1, Zhen-Yu Zhang1, Thibault Petit1, Nicholas Cauwenberghs1, Yu-Mei Gu1, Lutgarde Thijs1, Anke Raaijmakers2, Lotte Jacobs1, Wen-Yi Yang1, Karel Allegaert2, Tatiana Kuznetsova1, Peter Verhamme3, Harry A J Struijker-Boudier4, Yan Li5, Kei Asayama6, Jan A Staessen1,7.   

Abstract

The diameters of the retinal microvasculature reflect intermediate target organ damage and predict adverse health outcomes. In view of the pulsatility of the cerebral blood flow and refinement of software used for off-line analysis, we assessed the repeatability of retinal microvascular diameters in ECG-gated vs. non-gated images using nonmydriatic retinal photographs (Canon Cr-DGi visualization system) postprocessed by IVAN (Vasculomatic ala Nicola, version 1.1) or SIVA (Singapore I Vessel Assessment, version 3.6). Using these algorithms, we determined the central retinal arteriolar (CRAE) and venular (CRVE) equivalents and their ratio (arteriole-to-venule ratio (AVR)). The estimates of CRAE (mean, 158.5 μm), CRVE (222.5 μm) and AVR (0.71) in 10 volunteers were unaffected (P⩾0.059) by ECG gating. We assessed intragrader repeatability by the Bland and Altman approach in 30 participants with non-gated images and 30 with ECG-gated photographs. Repeatability, which was expressed as the percentage of near maximal variability (4-s.d. range), did not improve with ECG gating. Using SIVA, CRAE and CRVE were systematically larger (P⩽0.031), and the AVR estimates were similar (P⩾0.15) compared with IVAN. The differences (IVAN-SIVA) averaged -5.4 μm for CRAE, -3.9 μm for CRVE and -0.012 for AVR in the non-gated images and -3.3 μm, -6.9 μm and 0.006, respectively, in the ECG-gated photographs. In conclusion, ECG gating does not affect estimates of the retinal microvascular diameters or improve intragrader repeatability. SIVA yields slightly but significantly larger estimates of the retinal arteriolar and venular diameters. Combining historical readings analyzed by IVAN with more recent readings by SIVA is possible only for AVR and is not recommended for either CRAE or CRVE.

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Year:  2016        PMID: 27383509     DOI: 10.1038/hr.2016.81

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  32 in total

1.  Reliability of computer-assisted retinal vessel measurementin a population.

Authors:  Lauren M Sherry; Jie Jin Wang; Elena Rochtchina; TienY Wong; Ronald Klein; LarryD Hubbard; Paul Mitchell
Journal:  Clin Exp Ophthalmol       Date:  2002-06       Impact factor: 4.207

2.  Variation associated with measurement of retinal vessel diameters at different points in the pulse cycle.

Authors:  M D Knudtson; B E K Klein; R Klein; T Y Wong; L D Hubbard; K E Lee; S M Meuer; C P Bulla
Journal:  Br J Ophthalmol       Date:  2004-01       Impact factor: 4.638

Review 3.  Relationship between aortic stiffening and microvascular disease in brain and kidney: cause and logic of therapy.

Authors:  Michael F O'Rourke; Michel E Safar
Journal:  Hypertension       Date:  2005-05-23       Impact factor: 10.190

4.  Quantitative and qualitative retinal microvascular characteristics and blood pressure.

Authors:  Carol Y Cheung; Wan T Tay; Paul Mitchell; Jie J Wang; Wynne Hsu; Mong L Lee; Qiangfeng P Lau; Ai L Zhu; Ronald Klein; Seang M Saw; Tien Y Wong
Journal:  J Hypertens       Date:  2011-07       Impact factor: 4.844

5.  Visualization of fundus vessel pulsation using principal component analysis.

Authors:  Fabrice Moret; Charlotte M Poloschek; Wolf A Lagrèze; Michael Bach
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-07-23       Impact factor: 4.799

6.  Retinal microvascular abnormalities and risk of lacunar stroke: Atherosclerosis Risk in Communities Study.

Authors:  Hiroshi Yatsuya; Aaron R Folsom; Tien Y Wong; Ronald Klein; Barbara E K Klein; A Richey Sharrett
Journal:  Stroke       Date:  2010-06-03       Impact factor: 7.914

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Inactive matrix Gla protein is causally related to adverse health outcomes: a Mendelian randomization study in a Flemish population.

Authors:  Yan-Ping Liu; Yu-Mei Gu; Lutgarde Thijs; Marjo H J Knapen; Erika Salvi; Lorena Citterio; Thibault Petit; Simona Delli Carpini; Zhenyu Zhang; Lotte Jacobs; Yu Jin; Cristina Barlassina; Paolo Manunta; Tatiana Kuznetsova; Peter Verhamme; Harry A Struijker-Boudier; Daniele Cusi; Cees Vermeer; Jan A Staessen
Journal:  Hypertension       Date:  2014-11-24       Impact factor: 10.190

9.  Retinal arteriolar tortuosity is associated with retinopathy and early kidney dysfunction in type 1 diabetes.

Authors:  Muhammad Bayu Sasongko; Tien Yin Wong; Kim C Donaghue; Ning Cheung; Alicia J Jenkins; Paul Benitez-Aguirre; Jie Jin Wang
Journal:  Am J Ophthalmol       Date:  2011-09-09       Impact factor: 5.258

10.  Determinants of retinal venular diameter: the Beaver Dam Eye Study.

Authors:  Chelsea E Myers; Ronald Klein; Michael D Knudtson; Kristine E Lee; Ronald Gangnon; Tien Y Wong; Barbara E K Klein
Journal:  Ophthalmology       Date:  2012-08-20       Impact factor: 12.079

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  6 in total

1.  Concordance between SIVA, IVAN, and VAMPIRE Software Tools for Semi-Automated Analysis of Retinal Vessel Caliber.

Authors:  Thibaud Mautuit; Pierre Cunnac; Carol Y Cheung; Tien Y Wong; Stephen Hogg; Emanuele Trucco; Vincent Daien; Thomas J MacGillivray; José Labarère; Christophe Chiquet
Journal:  Diagnostics (Basel)       Date:  2022-05-25

2.  Reproducibility of Retinal Microvascular Traits Decoded by the Singapore I Vessel Assessment Software Across the Human Age Range.

Authors:  Qi-Fang Huang; Fang-Fei Wei; Zhen-Yu Zhang; Anke Raaijmakers; Kei Asayama; Lutgarde Thijs; Wen-Yi Yang; Blerim Mujaj; Karel Allegaert; Peter Verhamme; Harry A J Struijker-Boudier; Yan Li; Jan A Staessen
Journal:  Am J Hypertens       Date:  2018-03-10       Impact factor: 2.689

3.  Retinal venular tortuosity and fractal dimension predict incident retinopathy in adults with type 2 diabetes: the Edinburgh Type 2 Diabetes Study.

Authors:  Rachel B Forster; Emmanuel Sandoval Garcia; Anniek J Sluiman; Sheila M Grecian; Stela McLachlan; Tom J MacGillivray; Mark W J Strachan; Jackie F Price
Journal:  Diabetologia       Date:  2021-01-30       Impact factor: 10.122

4.  Association between cognition and the retinal microvasculature in 11-year old children born preterm or at term.

Authors:  Fang-Fei Wei; Anke Raaijmakers; Zhen-Yu Zhang; Theun Pieter van Tienoven; Qi-Fang Huang; Wen-Yi Yang; Lutgarde Thijs; Harry A J Struijker-Boudier; Peter Verhamme; Karel Allegaert; Jan A Staessen
Journal:  Early Hum Dev       Date:  2018-02-03       Impact factor: 2.079

5.  Towards Standardization of Quantitative Retinal Vascular Parameters: Comparison of SIVA and VAMPIRE Measurements in the Lothian Birth Cohort 1936.

Authors:  Sarah McGrory; Adele M Taylor; Enrico Pellegrini; Lucia Ballerini; Mirna Kirin; Fergus N Doubal; Joanna M Wardlaw; Alex S F Doney; Baljean Dhillon; John M Starr; Emanuele Trucco; Ian J Deary; Thomas J MacGillivray
Journal:  Transl Vis Sci Technol       Date:  2018-03-23       Impact factor: 3.283

6.  Retinal and Renal Microvasculature in Relation to Central Hemodynamics in 11-Year-Old Children Born Preterm or At Term.

Authors:  Fang-Fei Wei; Anke Raaijmakers; Jesus D Melgarejo; Nicholas Cauwenberghs; Lutgarde Thijs; Zhen-Yu Zhang; Cai-Guo Yu; Elena Levtchenko; Harry A J Struijker-Boudier; Wen-Yi Yang; Tatiana Kuznetsova; Sean Kennedy; Peter Verhamme; Karel Allegaert; Jan A Staessen
Journal:  J Am Heart Assoc       Date:  2020-07-31       Impact factor: 5.501

  6 in total

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