Literature DB >> 21996307

Use of nonmydriatic spectral-domain optical coherence tomography for diagnosing diabetic macular edema.

Francisco Javier Lara Medina1, Carmen Ispa Callén, Gema Rebolleda, Francisco J Muñoz-Negrete, María J Ispa Callén, Fernando González del Valle.   

Abstract

PURPOSE: To evaluate the accuracy of 3 spectral-domain (SD) optical coherence tomography (OCT) devices (Topcon 3D-1000 [Topcon]; Cirrus HD [Carl Zeiss Meditec, Inc], and Spectralis OCT [Heidelberg Engineering]) before and after mydriasis for the diagnosis of diabetic macular edema.
DESIGN: Cross-sectional study.
METHODS: Sixty-two eyes of 62 consecutive patients with diabetes without recent loss of vision referred for retinal control were assessed. Two scans were performed for each SD OCT instrument. Central retinal thickness was measured before and after pupil dilation. Pupil dynamic was studied using pMetrics pupillometer (iVIS Technologies), and lens opacity was measured by Pentacam densitometry (Oculus). The diagnostic accuracy of SD OCT devices was assessed by sensitivity, specificity, and area under the receiver operating characteristic curve. Logistic regression analysis was used to assess the effect of pupil size and lens opacity on the reliability of SD OCT in the acquisition of adequate images.
RESULTS: The area under the receiver operating characteristic curve for the Topcon 3D OCT device was 0.84, that for the Cirrus HD OCT device was 0.93, and that for the Spectralis OCT device was 0.91. Significant differences in area under the receiver operating characteristic curve before and after pupillary dilatation were not found. Sensitivity and specificity associated with the cutoff value for the best performance were 82% and 74% for the Topcon 3D OCT device, 90% and 87% for the Cirrus HD OCT device, and 90% and 84% for the Spectralis OCT device, respectively. The Topcon 3D OCT device had an 11.3% segmentation algorithm failure rate for the central millimeter of the fovea, and the nuclear lens density was significantly greater in these eyes than in those without failure (17.1 ± 1.1 mm vs 10.4 ± 0.2 mm; P < .05).
CONCLUSIONS: SD OCT is a useful tool to detect and to measure diabetic macular edema without the need for pupil dilatation. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21996307     DOI: 10.1016/j.ajo.2011.08.008

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  9 in total

1.  A comparison of false positives in retinal nerve fiber layer, optic nerve head and macular ganglion cell-inner plexiform layer from two spectral-domain optical coherence tomography devices.

Authors:  Marina Leal-Fonseca; Gema Rebolleda; Noelia Oblanca; Javier Moreno-Montañes; Francisco J Muñoz-Negrete
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2013-12-12       Impact factor: 3.117

Review 2.  Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.

Authors:  Gianni Virgili; Francesca Menchini; Giovanni Casazza; Ruth Hogg; Radha R Das; Xue Wang; Manuele Michelessi
Journal:  Cochrane Database Syst Rev       Date:  2015-01-07

3.  Tissue thickness calculation in ocular optical coherence tomography.

Authors:  David Alonso-Caneiro; Scott A Read; Stephen J Vincent; Michael J Collins; Maciej Wojtkowski
Journal:  Biomed Opt Express       Date:  2016-01-21       Impact factor: 3.732

4.  Multicolor pattern scan laser for diabetic retinopathy with cataract.

Authors:  Takao Hirano; Yasuhiro Iesato; Toshinori Murata
Journal:  Int J Ophthalmol       Date:  2014-08-18       Impact factor: 1.779

5.  Evaluation of retinal and choroidal thickness by swept-source optical coherence tomography: repeatability and assessment of artifacts.

Authors:  Kaweh Mansouri; Felipe A Medeiros; Andrew J Tatham; Nicholas Marchase; Robert N Weinreb
Journal:  Am J Ophthalmol       Date:  2014-02-14       Impact factor: 5.258

6.  Central macular thickness in patients with type 2 diabetes mellitus without clinical retinopathy.

Authors:  Mehmet Demir; Ersin Oba; Burcu Dirim; Erhan Ozdal; Efe Can
Journal:  BMC Ophthalmol       Date:  2013-04-09       Impact factor: 2.209

7.  Cental Macular Thickness in Patients with Type 2 Diabetes Mellitus without Clinical Retinopathy.

Authors:  Mehmet Demir; Burcu Dirim; Zeynep Acar; Murat Yılmaz; Yekta Sendul
Journal:  J Ophthalmol       Date:  2013-04-03       Impact factor: 1.909

8.  Spectral domain optical coherence tomography in patients after successful management of postoperative endophthalmitis following cataract surgery by pars plana vitrectomy.

Authors:  Otto Alexander Maneschg; Eva Volek; János Németh; Gábor Márk Somfai; Zsuzsanna Géhl; Irén Szalai; Miklós Dénes Resch
Journal:  BMC Ophthalmol       Date:  2014-06-02       Impact factor: 2.209

9.  Automatic choroidal segmentation in OCT images using supervised deep learning methods.

Authors:  Jason Kugelman; David Alonso-Caneiro; Scott A Read; Jared Hamwood; Stephen J Vincent; Fred K Chen; Michael J Collins
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

  9 in total

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