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Absolute retinal blood flow in healthy eyes and in eyes with retinal vein occlusion.
Mautuit, Thibaud; Cunnac, Pierre; Truffer, Frédéric; Anjos, André; Dufrane, Rebecca; Maître, Gilbert; Geiser, Martial; Chiquet, Christophe.
Afiliación
  • Mautuit T; Department of Ophthalmology, University Hospital of Grenoble-Alpes, France; Grenoble-Alpes University, HP2 Laboratory, INSERM U1042, Grenoble, France.
  • Cunnac P; Department of Ophthalmology, University Hospital of Grenoble-Alpes, France; Grenoble-Alpes University, HP2 Laboratory, INSERM U1042, Grenoble, France.
  • Truffer F; System Engineering Institute, HES-SO, Sion, Switzerland.
  • Anjos A; Idiap Research Institute, Martigny, Switzerland.
  • Dufrane R; Department of Ophthalmology, University Hospital of Grenoble-Alpes, France; Grenoble-Alpes University, HP2 Laboratory, INSERM U1042, Grenoble, France.
  • Maître G; System Engineering Institute, HES-SO, Sion, Switzerland.
  • Geiser M; System Engineering Institute, HES-SO, Sion, Switzerland.
  • Chiquet C; Department of Ophthalmology, University Hospital of Grenoble-Alpes, France; Grenoble-Alpes University, HP2 Laboratory, INSERM U1042, Grenoble, France. Electronic address: cchiquet@chu-grenoble.fr.
Microvasc Res ; 152: 104648, 2024 03.
Article en En | MEDLINE | ID: mdl-38123065
ABSTRACT

PURPOSE:

To measure non-invasively retinal venous blood flow (RBF) in healthy subjects and patients with retinal venous occlusion (RVO).

METHODS:

The prototype named AO-LDV (Adaptive Optics Laser Doppler Velocimeter), which combines a new absolute laser Doppler velocimeter with an adaptive optics fundus camera (rtx1, Imagine Eyes®, Orsay, France), was studied for the measurement of absolute RBF as a function of retinal vessel diameters and simultaneous measurement of red blood cell velocity. RBF was measured in healthy subjects (n = 15) and patients with retinal venous occlusion (RVO, n = 6). We also evaluated two softwares for the measurement of retinal vessel diameters software 1 (automatic vessel detection, profile analysis) and software 2 (based on the use of deep neural networks for semantic segmentation of vessels, using a M2u-Net architecture).

RESULTS:

Software 2 provided a higher rate of automatic retinal vessel measurement (99.5 % of 12,320 AO images) than software 1 (64.9 %) and wider measurements (75.5 ± 15.7 µm vs 70.9 ± 19.8 µm, p < 0.001). For healthy subjects (n = 15), all the retinal veins in one eye were measured to obtain the total RBF. In healthy subjects, the total RBF was 37.8 ± 6.8 µl/min. There was a significant linear correlation between retinal vessel diameter and maximal velocity (slope = 0.1016; p < 0.001; r2 = 0.8597) and a significant power curve correlation between retinal vessel diameter and blood flow (3.63 × 10-5 × D2.54; p < 0.001; r2 = 0.7287). No significant relationship was found between total RBF and systolic and diastolic blood pressure, ocular perfusion pressure, heart rate, or hematocrit. For RVO patients (n = 6), a significant decrease in RBF was noted in occluded veins (3.51 ± 2.25 µl/min) compared with the contralateral healthy eye (11.07 ± 4.53 µl/min). For occluded vessels, the slope between diameter and velocity was 0.0195 (p < 0.001; r2 = 0.6068) and the relation between diameter and flow was Q = 9.91 × 10-6 × D2.41 (p < 0.01; r2 = 0.2526).

CONCLUSION:

This AO-LDV prototype offers new opportunity to study RBF in humans and to evaluate treatment in retinal vein diseases.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Vena Retiniana / Oclusión de la Vena Retiniana Idioma: En Revista: Microvasc Res Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Vena Retiniana / Oclusión de la Vena Retiniana Idioma: En Revista: Microvasc Res Año: 2024 Tipo del documento: Article