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Magnetic resonance imaging retinal oximetry: a quantitative physiological biomarker for early diabetic retinopathy?
Author(s) -
Yang Y.,
Zhu X. R.,
Xu Q. G.,
Metcalfe H.,
Wang Z. C.,
Yang J. K.
Publication year - 2012
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.2011.03440.x
Subject(s) - medicine , diabetic retinopathy , retinopathy , retinal , ophthalmology , fundus photography , diabetes mellitus , oxygenation , magnetic resonance imaging , retina , type 1 diabetes , fluorescein angiography , endocrinology , radiology , physics , optics
Diabet. Med. 29, 501–505 (2012) Abstract Aims To assess the efficacy of using magnetic resonance imaging measurements of retinal oxygenation response to detect early diabetic retinopathy in patients with Type 2 diabetes. Methods Magnetic resonance imaging was conducted during 100% oxygen inhalation in patients with Type 2 diabetes with either no diabetic retinopathy ( n = 12) or mild to moderate background diabetic retinopathy ( n = 12), as well as in healthy control subjects ( n = 12). Meanwhile, changes in retinal oxygenation response were measured. Results In the healthy control group, levels of retinal oxygenation response increased slowly during 100% oxygen inhalation. In contrast, they increased more quickly and attained homeostasis much earlier in the groups with background diabetic retinopathy (at the 20‐min time point) and with no diabetic retinopathy (at the 25‐min time point) than in the healthy control group (at the 42‐min time point). Furthermore, levels of retinal oxygenation response in the group with background diabetic retinopathy increased more than that of the group with no diabetic retinopathy, which in turn increased more than that of the healthy control group. There are statistically significant differences between the group with background diabetic retinopathy and the healthy control group at 6‐, 8‐, 10‐, 15‐, 20‐ and 25‐min time points ( P < 0.05). According to the normal range of the healthy control group by setting fundus photography results as ‘gold standard’ in our research, the sensitivity, specificity, positive predictive value, negative predictive value and receiver operating characteristic area for reporting the early indications of utility of diabetic retinopathy were 83.33%, 58.33%, 50%, 87.5% and 0.774, respectively. Conclusions The results indicate that magnetic resonance imaging is a potential screening method and probably a quantitative physiological biomarker to find early diabetic retinopathy in patients with Type 2 diabetes.