Literature DB >> 28935399

OCT Biomarkers as Functional Outcome Predictors in Diabetic Macular Edema Treated with Dexamethasone Implant.

Dinah Zur1, Matias Iglicki2, Catharina Busch3, Alessandro Invernizzi4, Miriana Mariussi5, Anat Loewenstein6.   

Abstract

PURPOSE: Identification and characterization of patients with diabetic macular edema (DME) are important for individualizing treatment and optimizing outcome. We investigated OCT biomarkers for DME treated by intravitreal dexamethasone (DEX) implant.
DESIGN: Multicenter, retrospective, observational cohort study. PARTICIPANTS: A total of 299 eyes from 284 patients treated with DEX implant for DME (naïve, n = 209; refractory, n = 90). Baseline best-corrected visual acuity (BCVA) was between 0.3 and 1.0 on a logarithm of minimum angle of resolution visual chart.
METHODS: The OCT scans previous to DEX implants were evaluated for submacular fluid, size and location of cystoid changes, inner segment-outer segment (IS-OS) continuity, quantity and location of hyperreflective foci (HRF), vitreomacular interface abnormalities, and epiretinal membrane. The BCVA and central macular thickness were recorded at baseline and at 1, 2, and 4 months after treatment with DEX implants. Correlations between OCT measures and visual outcome were analyzed using the generalized estimating equations procedure. MAIN OUTCOME MEASURES: The correlation between spectral-domain (SD) OCT measures at baseline and BCVA response (mean change from baseline; categorized improvement [<5, 5-9, or ≥10; Early Treatment Diabetic Retinopathy Study letters] in BCVA) after treatment with a DEX implant.
RESULTS: The presence of subretinal fluid (odds ratio [OR], 1.98; 95% confidence interval [CI], 1.23-3.20; P = 0.01), absence of HRF (OR, 3.66; 95% CI, 1.40-9.62; P = 0.01), and integrity of the IS-OS layer (OR, 2.09; 95% CI, 1.30-3.37; P = 0.003) were all predictive of better visual outcome after treatment with DEX implants. Although eyes with naïve DME gained more vision than refractory eyes (P < 0.001), the predictive value of OCT findings did not differ according to this classification.
CONCLUSIONS: Spectral-domain OCT is useful in identifying various imaging findings in DME. Among eyes with DME, those with submacular fluid, no HRF, and a continuous IS-OS layer responded better to DEX implants than those without these features. These findings call for further study of combinations of OCT and metabolic biomarkers.
Copyright © 2017 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28935399     DOI: 10.1016/j.ophtha.2017.08.031

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  53 in total

1.  Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

Authors:  Philipp K Roberts; Wolf-Dieter Vogl; Bianca S Gerendas; Adam R Glassman; Hrvoje Bogunovic; Lee M Jampol; Ursula M Schmidt-Erfurth
Journal:  JAMA Ophthalmol       Date:  2020-09-01       Impact factor: 7.389

Review 2.  Profile of non-responder and late responder patients treated for diabetic macular edema: systemic and ocular factors.

Authors:  Mariacristina Parravano; Eliana Costanzo; Giuseppe Querques
Journal:  Acta Diabetol       Date:  2020-02-29       Impact factor: 4.280

3.  Comparison of clinical outcomes of different components of diabetic macular edema on optical coherence tomography.

Authors:  Yijun Hu; Qiaowei Wu; Baoyi Liu; Dan Cao; Xinran Dong; Liang Zhang; Tao Li; Xiaohong Yang; Honghua Yu
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-09-16       Impact factor: 3.117

4.  OCT Hyperreflective Retinal Foci in Diabetic Retinopathy: A Semi-Automatic Detection Comparative Study.

Authors:  Edoardo Midena; Tommaso Torresin; Erika Velotta; Elisabetta Pilotto; Raffaele Parrozzani; Luisa Frizziero
Journal:  Front Immunol       Date:  2021-04-22       Impact factor: 7.561

5.  Relationship Between Renal Function and Choroidal Thickness in Type 2 Diabetic Patients Detected by Swept-Source Optical Coherence Tomography.

Authors:  Sen Liu; Wei Wang; Yan Tan; Miao He; Lanhua Wang; Yuting Li; Wenyong Huang
Journal:  Transl Vis Sci Technol       Date:  2020-04-24       Impact factor: 3.283

6.  Characteristics of diabetic macular edema on optical coherence tomography may change over time or after treatment.

Authors:  Shwu-Jiuan Sheu; Ying-Yen Lee; Yu-Harn Horng; Huey-Shyan Lin; Wei-Yu Lai; Chui-Lien Tsen
Journal:  Clin Ophthalmol       Date:  2018-09-26

Review 7.  Indicators of Visual Prognosis in Diabetic Macular Oedema.

Authors:  Sagnik Sen; Kim Ramasamy; Sobha Sivaprasad
Journal:  J Pers Med       Date:  2021-05-22

8.  Vitrectomy with internal limiting membrane peeling versus nonsurgical treatment for diabetic macular edema with massive hard exudates.

Authors:  Hsuan-Chieh Lin; Chung-May Yang; San-Ni Chen; Yi-Ting Hsieh
Journal:  PLoS One       Date:  2020-07-31       Impact factor: 3.240

9.  Evaluation of Functional Outcomes and OCT-Biomarkers after Intravitreal Dexamethasone Implant for Postoperative Cystoid Macular Edema in Vitrectomized Eyes.

Authors:  Sigrid Freissinger; Efstathios Vounotrypidis; Armin Wolf; Karsten U Kortuem; Mehdi Shajari; Filippos Sakkias; Tina Herold; Siegfried G Priglinger; Wolfgang J Mayer
Journal:  J Ophthalmol       Date:  2020-04-28       Impact factor: 1.909

10.  Biomarkers and predictors for functional and anatomic outcomes for small gauge pars plana vitrectomy and peeling of the internal limiting membrane in naïve diabetic macular edema: The VITAL Study.

Authors:  Matias Iglicki; Alejandro Lavaque; Malgorzata Ozimek; Hermino Pablo Negri; Mali Okada; Jay Chhablani; Catharina Busch; Anat Loewenstein; Dinah Zur
Journal:  PLoS One       Date:  2018-07-11       Impact factor: 3.240

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