Literature DB >> 25564068

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

Gianni Virgili1, Francesca Menchini, Giovanni Casazza, Ruth Hogg, Radha R Das, Xue Wang, Manuele Michelessi.   

Abstract

BACKGROUND: Diabetic macular oedema (DMO) is a thickening of the central retina, or the macula, and is associated with long-term visual loss in people with diabetic retinopathy (DR). Clinically significant macular oedema (CSMO) is the most severe form of DMO. Almost 30 years ago, the Early Treatment Diabetic Retinopathy Study (ETDRS) found that CSMO, diagnosed by means of stereoscopic fundus photography, leads to moderate visual loss in one of four people within three years. It also showed that grid or focal laser photocoagulation to the macula halves this risk. Recently, intravitreal injection of antiangiogenic drugs has also been used to try to improve vision in people with macular oedema due to DR.Optical coherence tomography (OCT) is based on optical reflectivity and is able to image retinal thickness and structure producing cross-sectional and three-dimensional images of the central retina. It is widely used because it provides objective and quantitative assessment of macular oedema, unlike the subjectivity of fundus biomicroscopic assessment which is routinely used by ophthalmologists instead of photography. Optical coherence tomography is also used for quantitative follow-up of the effects of treatment of CSMO.
OBJECTIVES: To determine the diagnostic accuracy of OCT for detecting DMO and CSMO, defined according to ETDRS in 1985, in patients referred to ophthalmologists after DR is detected. In the update of this review we also aimed to assess whether OCT might be considered the new reference standard for detecting DMO. SEARCH
METHODS: We searched the Cochrane Database of Systematic Reviews (CDSR), the Database of Abstracts of Reviews of Effects (DARE), the Health Technology Assessment Database (HTA) and the NHS Economic Evaluation Database (NHSEED) (The Cochrane Library 2013, Issue 5), Ovid MEDLINE, Ovid MEDLINE In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily, Ovid OLDMEDLINE (January 1946 to June 2013), EMBASE (January 1950 to June 2013), Web of Science Conference Proceedings Citation Index - Science (CPCI-S) (January 1990 to June 2013), BIOSIS Previews (January 1969 to June 2013), MEDION and the Aggressive Research Intelligence Facility database (ARIF). We did not use any date or language restrictions in the electronic searches for trials. We last searched the electronic databases on 25 June 2013. We checked bibliographies of relevant studies for additional references. SELECTION CRITERIA: We selected studies that assessed the diagnostic accuracy of any OCT model for detecting DMO or CSMO in patients with DR who were referred to eye clinics. Diabetic macular oedema and CSMO were diagnosed by means of fundus biomicroscopy by ophthalmologists or stereophotography by ophthalmologists or other trained personnel. DATA COLLECTION AND ANALYSIS: Three authors independently extracted data on study characteristics and measures of accuracy. We assessed data using random-effects hierarchical sROC meta-analysis models. MAIN
RESULTS: We included 10 studies (830 participants, 1387 eyes), published between 1998 and 2012. Prevalence of CSMO was 19% to 65% (median 50%) in nine studies with CSMO as the target condition. Study quality was often unclear or at high risk of bias for QUADAS 2 items, specifically regarding study population selection and the exclusion of participants with poor quality images. Applicablity was unclear in all studies since professionals referring patients and results of prior testing were not reported. There was a specific 'unit of analysis' issue because both eyes of the majority of participants were included in the analyses as if they were independent.In nine studies providing data on CSMO (759 participants, 1303 eyes), pooled sensitivity was 0.78 (95% confidence interval (CI) 0.72 to 0.83) and specificity was 0.86 (95% CI 0.76 to 0.93). The median central retinal thickness cut-off we selected for data extraction was 250 µm (range 230 µm to 300 µm). Central CSMO was the target condition in all but two studies and thus our results cannot be applied to non-central CSMO.Data from three studies reporting accuracy for detection of DMO (180 participants, 343 eyes) were not pooled. Sensitivities and specificities were about 0.80 in two studies and were both 1.00 in the third study.Since this review was conceived, the role of OCT has changed and has become a key ingredient of decision-making at all levels of ophthalmic care in this field. Moreover, disagreements between OCT and fundus examination are informative, especially false positives which are referred to as subclinical DMO and are at higher risk of developing clinical CSMO. AUTHORS'
CONCLUSIONS: Using retinal thickness thresholds lower than 300 µm and ophthalmologist's fundus assessment as reference standard, central retinal thickness measured with OCT was not sufficiently accurate to diagnose the central type of CSMO in patients with DR referred to retina clinics. However, at least OCT false positives are generally cases of subclinical DMO that cannot be detected clinically but still suffer from increased risk of disease progression. Therefore, the increasing availability of OCT devices, together with their precision and the ability to inform on retinal layer structure, now make OCT widely recognised as the new reference standard for assessment of DMO, even in some screening settings. Thus, this review will not be updated further.

Entities:  

Mesh:

Year:  2015        PMID: 25564068      PMCID: PMC4438571          DOI: 10.1002/14651858.CD008081.pub3

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  92 in total

1.  The association between percent disruption of the photoreceptor inner segment-outer segment junction and visual acuity in diabetic macular edema.

Authors:  Anjali S Maheshwary; Stephen F Oster; Ritchie M S Yuson; Lingyun Cheng; Francesca Mojana; William R Freeman
Journal:  Am J Ophthalmol       Date:  2010-05-10       Impact factor: 5.258

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

Authors:  Francisco Javier Lara Medina; Carmen Ispa Callén; Gema Rebolleda; Francisco J Muñoz-Negrete; María J Ispa Callén; Fernando González del Valle
Journal:  Am J Ophthalmol       Date:  2011-10-11       Impact factor: 5.258

3.  A phase II randomized clinical trial of intravitreal bevacizumab for diabetic macular edema.

Authors:  Ingrid U Scott; Allison R Edwards; Roy W Beck; Neil M Bressler; Clement K Chan; Michael J Elman; Scott M Friedman; Craig Michael Greven; Raj K Maturi; Dante J Pieramici; Michel Shami; Lawrence J Singerman; Cynthia R Stockdale
Journal:  Ophthalmology       Date:  2007-08-15       Impact factor: 12.079

4.  Association between hyperreflective foci in the outer retina, status of photoreceptor layer, and visual acuity in diabetic macular edema.

Authors:  Akihito Uji; Tomoaki Murakami; Kazuaki Nishijima; Tadamichi Akagi; Takahiro Horii; Naoko Arakawa; Yuki Muraoka; Abdallah A Ellabban; Nagahisa Yoshimura
Journal:  Am J Ophthalmol       Date:  2011-12-03       Impact factor: 5.258

5.  Macular thickness measurements in healthy eyes using six different optical coherence tomography instruments.

Authors:  Ute E K Wolf-Schnurrbusch; Lala Ceklic; Christian K Brinkmann; Milko E Iliev; Manuel Frey; Simon P Rothenbuehler; Volker Enzmann; Sebastian Wolf
Journal:  Invest Ophthalmol Vis Sci       Date:  2009-02-21       Impact factor: 4.799

6.  Optical coherence tomography measurements and analysis methods in optical coherence tomography studies of diabetic macular edema.

Authors:  David J Browning; Adam R Glassman; Lloyd P Aiello; Neil M Bressler; Susan B Bressler; Ronald P Danis; Matthew D Davis; Frederick L Ferris; Suber S Huang; Peter K Kaiser; Craig Kollman; Srinavas Sadda; Ingrid U Scott; Haijing Qin
Journal:  Ophthalmology       Date:  2008-08       Impact factor: 12.079

Review 7.  Optical coherence tomography versus stereoscopic fundus photography or biomicroscopy for diagnosing diabetic macular edema: a systematic review.

Authors:  Gianni Virgili; Francesca Menchini; Andrea F Dimastrogiovanni; Emilio Rapizzi; Ugo Menchini; Francesco Bandello; Raffaella Gortana Chiodini
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-11       Impact factor: 4.799

8.  Cost effectiveness of current approaches to the control of retinopathy in type I diabetics.

Authors:  J C Javitt; J K Canner; A Sommer
Journal:  Ophthalmology       Date:  1989-02       Impact factor: 12.079

9.  Reduced fluorescein angiography and fundus photography use in the management of neovascular macular degeneration and macular edema during the past decade.

Authors:  Eric W Schneider; Prithvi Mruthyunjaya; Nidhi Talwar; Kristen Harris Nwanyanwu; Bin Nan; Joshua D Stein
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-01-29       Impact factor: 4.799

10.  Marked reductions in visual impairment due to diabetic retinopathy achieved by efficient screening and timely treatment.

Authors:  Nina Hautala; Riittaliisa Aikkila; Juha Korpelainen; Antti Keskitalo; Anne Kurikka; Aura Falck; Risto Bloigu; Hannu Alanko
Journal:  Acta Ophthalmol       Date:  2013-10-17       Impact factor: 3.761

View more
  53 in total

1.  Setting Priorities for Diabetic Retinopathy Clinical Research and Identifying Evidence Gaps.

Authors:  Jimmy T Le; Susan Hutfless; Tianjing Li; Neil M Bressler; James Heyward; Ava K Bittner; Adam Glassman; Kay Dickersin
Journal:  Ophthalmol Retina       Date:  2017 Mar-Apr

2.  [National guidelines for treatment of diabetic retinopathy : Second edition of the national guidelines for treatment of diabetic retinopathy].

Authors:  F Ziemssen; K Lemmen; B Bertram; H P Hammes; H Agostini
Journal:  Ophthalmologe       Date:  2016-07       Impact factor: 1.059

3.  Clinical application of multicolour scanning laser imaging in diabetic retinopathy.

Authors:  Shuting Li; Xiangning Wang; Xinhua Du; Qiang Wu
Journal:  Lasers Med Sci       Date:  2018-04-07       Impact factor: 3.161

4.  Machine learning based detection of age-related macular degeneration (AMD) and diabetic macular edema (DME) from optical coherence tomography (OCT) images.

Authors:  Yu Wang; Yaonan Zhang; Zhaomin Yao; Ruixue Zhao; Fengfeng Zhou
Journal:  Biomed Opt Express       Date:  2016-11-03       Impact factor: 3.732

5.  The Prevention and Treatment of Retinal Complications in Diabetes.

Authors:  Susanne Gabriele Schorr; Hans-Peter Hammes; Ulrich Alfons Müller; Heinz-Harald Abholz; Rüdiger Landgraf; Bernd Bertram
Journal:  Dtsch Arztebl Int       Date:  2016-12-02       Impact factor: 5.594

Review 6.  Diabetic macular oedema: pathophysiology, management challenges and treatment resistance.

Authors:  Bobak Bahrami; Meidong Zhu; Thomas Hong; Andrew Chang
Journal:  Diabetologia       Date:  2016-05-14       Impact factor: 10.122

Review 7.  Management of diabetic macular edema in Japan: a review and expert opinion.

Authors:  Hiroko Terasaki; Yuichiro Ogura; Shigehiko Kitano; Taiji Sakamoto; Toshinori Murata; Akito Hirakata; Tatsuro Ishibashi
Journal:  Jpn J Ophthalmol       Date:  2017-12-05       Impact factor: 2.447

8.  Alpha-synuclein modulates retinal iron homeostasis by facilitating the uptake of transferrin-bound iron: Implications for visual manifestations of Parkinson's disease.

Authors:  Shounak Baksi; Ajai K Tripathi; Neena Singh
Journal:  Free Radic Biol Med       Date:  2016-06-23       Impact factor: 7.376

9.  En face Integrated Central Avascular Zone (EFICAZ): a noninvasive tool for correlating morphological and functional damage in central diabetic macular edema.

Authors:  Joel Hanhart; Israel Strassman; Yaakov Rozenman
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-06-30       Impact factor: 3.117

10.  Reporting Weaknesses in Conference Abstracts of Diagnostic Accuracy Studies in Ophthalmology.

Authors:  Daniël A Korevaar; Jérémie F Cohen; Maurice W J de Ronde; Gianni Virgili; Kay Dickersin; Patrick M M Bossuyt
Journal:  JAMA Ophthalmol       Date:  2015-12       Impact factor: 7.389

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.