TY - GEN
T1 - Estimating retinal vascular permeability from human fluorescein videoangiography data
T2 - Photonic Diagnosis and Treatment of Infections and Inflammatory Diseases II 2019
AU - Kayaalp-Nalbant, Elif
AU - Kang-Mieler, Jennifer J.
AU - Tichauer, Kenneth M.
N1 - Publisher Copyright:
© 2019 SPIE.
PY - 2019
Y1 - 2019
N2 - Diabetic retinopathy is a degenerative disease that can lead to irreversible blindness in patients with long-term diabetes. The mechanism of tissue damage is through inflammatory response to high blood sugar levels degrade blood vessels throughout the body, and in the retina, this can lead to microbleeds and damage to photoreceptors. It is hypothesized that a change in vascular permeability could be an early indicator of an eventual progression to retinopathy, yet no clinical methods exist to date that are capable of measuring vascular permeability accurately. We have developed mathematical models that aim to quantify blood flow and vascular permeability in the retina using clinically collectable fluorescein videoangiography data. Recently, the method was demonstrated to be effective identifying early levels of retina damage in a rat model of diabetic retinopathy. Here we present a sensitivity analysis in a simulation study and the first results from a clinical study involving 4 diabetic patients and 3 healthy controls. While there were no significant differences in measured blood flow between the groups, the "extraction fraction" (a surrogate parameter of vascular permeability) was found to be significantly higher in diabetic patients than controls (0.082 ± 0.041 vs. 0.001 ± 0.001, p < 0.001). These results highlight the potential for kinetic modeling applied to fluorescein videoangiography to identify early signs of retinopathy in diabetic patients, such that therapy can be enacted at an earlier stage of the disease when the damage is not irreversible.
AB - Diabetic retinopathy is a degenerative disease that can lead to irreversible blindness in patients with long-term diabetes. The mechanism of tissue damage is through inflammatory response to high blood sugar levels degrade blood vessels throughout the body, and in the retina, this can lead to microbleeds and damage to photoreceptors. It is hypothesized that a change in vascular permeability could be an early indicator of an eventual progression to retinopathy, yet no clinical methods exist to date that are capable of measuring vascular permeability accurately. We have developed mathematical models that aim to quantify blood flow and vascular permeability in the retina using clinically collectable fluorescein videoangiography data. Recently, the method was demonstrated to be effective identifying early levels of retina damage in a rat model of diabetic retinopathy. Here we present a sensitivity analysis in a simulation study and the first results from a clinical study involving 4 diabetic patients and 3 healthy controls. While there were no significant differences in measured blood flow between the groups, the "extraction fraction" (a surrogate parameter of vascular permeability) was found to be significantly higher in diabetic patients than controls (0.082 ± 0.041 vs. 0.001 ± 0.001, p < 0.001). These results highlight the potential for kinetic modeling applied to fluorescein videoangiography to identify early signs of retinopathy in diabetic patients, such that therapy can be enacted at an earlier stage of the disease when the damage is not irreversible.
KW - Diabetic retinopathy
KW - Human study
KW - Kinetic modeling
KW - Retina imaging
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U2 - 10.1117/12.2513215
DO - 10.1117/12.2513215
M3 - Conference contribution
AN - SCOPUS:85072181999
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Photonic Diagnosis and Treatment of Infections and Inflammatory Diseases II
A2 - Dai, Tianhong
A2 - Popp, Jurgen
A2 - Wu, Mei X.
Y2 - 4 February 2019 through 5 February 2019
ER -