Retinal Vascular Impairment in Best Vitelliform Macular Dystrophy Assessed by Means of Optical Coherence Tomography Angiography

Parodi, Maurizio Battaglia; Romanò, Francesco; Cicinelli, Maria Vittoria; Rabiolo, Alessandro; Arrigo, Alessandro; Pierro, Luisa; Iacono, Pierluigi; Bandello, Francesco

doi:10.1016/j.ajo.2017.12.013

Cited by 53 publications

(44 citation statements)

References 25 publications

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“…This finding is consistent with 2 recent studies [16, 17]. Quantitative analysis of OCTA revealed a significant reduction in retinal superficial vessel density and choriocapillary flow area in BVMD patients compared to the control group.…”

Section: Discussionsupporting

confidence: 93%

“…Due to the lack of a normal model for superficial and deep vascular plexus on OCTA, we mainly focused on the choriocapillary change in the qualitative analysis. Some recent studies have reported abnormal FAZ changes and vascularity loss both in the superficial and in the deep retinal capillary layers in BVMD patients [16, 17]. However, when interpreting these results we need to bear in mind that there are large variations in FAZ size and shape even in healthy individuals [18].…”

Section: Discussionmentioning

confidence: 99%

“…Patients were categorized into 5 stages based on the characteristics of the lesion as follows: stage 1 (subclinical stage with no changes in the fundus, electrooculogram Arden ratio < 2), stage 2 (vitelliform lesion), stage 3 (pseudohypopyon), stage 4 (vitelliruptive/scrambled egg), and stage 5 (atrophic/cicatricial/CNV) [16, 17]. Based on this staging system, we further divided the BVMD patients into either a vitelliform group (stages 1–4) or a postvitelliform group (stage 5).…”

Section: Methodsmentioning

confidence: 99%

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Findings of Optical Coherence Tomography Angiography in Best Vitelliform Macular Dystrophy

Wang

You

et al. 2018

Ophthalmic Res

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Purpose: To evaluate the vascular anatomy of eyes with Best vitelliform macular dystrophy (BVMD) using optical coherence tomography angiography (OCTA). Methods: This retrospective case-control study enrolled 11 consecutive BVMD patients and 13 age-matched healthy participants. Both eyes of each participant were imaged using a macular OCTA scan (3 × 3 mm) by 70-kHz 840-nm spectral-domain OCT. The flow signal was calculated using the split-spectrum amplitude-decorrelation angiography (SSADA) algorithm. Results: Qualitative analysis showed uneven hypo- and hyperintense signal changes at the choriocapillary level in OCTA images of BVMD patients. Quantitative analysis showed significant reductions in the flow density of the superficial vascular layer (whole: 49.2% vs. 53.9%, p < 0.001) and the choriocapillary flow area (5.1 vs. 5.5 mm², p = 0.02) in BVMD patients compared to controls. The choriocapillary flow area in the postvitelliform group was reduced compared to that of the vitelliform group. There was a statistically significant association between choriocapillary flow area and superficial vascular flow density (p = 0.045), choriocapillary flow area and foveal avascular zone area (p = 0.03). Conclusions: Vascular changes in BVMD were apparent in the choriocapillary layer. The changes became more striking in late stages of the disease. OCTA provides useful quantitative measurements for staging and monitoring the progression of BVMD.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Findings of Optical Coherence Tomography Angiography in Best Vitelliform Macular Dystrophy

Wang

You

et al. 2018

Ophthalmic Res

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“…This segmentation was used to discriminate intralesional and extralesional regions on the OCT-A enface slabs of the DCP and CC reconstructions. Vessel densities within the lesions were then calculated with a method published before 9. The mean area of the AMN lesions was calculated, and comparison of the vessel density within this area with the vessel density within the same area size of the control group was done.…”

Section: Methodsmentioning

confidence: 99%

Acute macular neuroretinopathy: pathogenetic insights from optical coherence tomography angiography

et al. 2018

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“…Optical coherence tomography angiography (OCTA) is gaining wide acceptance as a complementary, dye‐free, clinical test, alongside fluorescein and indocyanine green angiography, in the investigation of retinal and choroidal vascular diseases . Clinically, OCTA has been used extensively to identify sub‐clinical vascular changes in all forms of retinal and choroidal diseases including diabetic retinopathy (DR), retinal vein occlusion (RVO), inherited retinal diseases and choroidal neovascularization in age‐related macular degeneration (AMD) . Currently, automated quantitative measurements of the capillary density and foveal avascular zone (FAZ) parameters can be generated to assess diseases progression and treatment response .…”

Section: Introductionmentioning

confidence: 99%

Clinical validation of the RTVue optical coherence tomography angiography image quality indicators

Ali

Sampson

Yong

et al. 2019

Clinical Exper Ophthalmology

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Importance All automated image quality indicators for en face optical coherence tomography angiography (OCTA) images require gold standard validation for determining optimum thresholds. Background A manual grading system (gold standard) for OCTA images was validated and compared to two automated image quality indicators: signal strength index (SSI) and scan quality index (SQI) generated by different software versions of the Optovue OCTA device. Design Retrospective cross‐sectional study. Participants A total of 52 eyes of 52 healthy individual and 77 eyes of 51 patients with retinal vascular diseases. Methods A total of 129 OCTA images of the superficial vascular plexus were graded manually by three independent examiners. Each image was assigned grades 1 to 4 (1‐2, unacceptable; 3‐4, acceptable) masked to the software‐generated quality indicators. Main Outcome Measures Inter‐grader agreement and comparison of the utility of SSI and SQI in discriminating between acceptable and unacceptable OCTA images. Results There was a substantial agreement between the three graders (κ = 0.63). Mean SSI and SQI was significantly different between acceptable and unacceptable images (P < .001). SQI outperformed SSI in separating acceptable from unacceptable images (areas under the receiver operating characteristic curve: 0.87 vs 0.80) and the optimum cut‐off was ≥7 for SQI and ≥70 for SSI for acceptable images. Up to 30% of images with quality indicators reaching the optimum SQI and SSI cut‐off thresholds still had unacceptable quality on manual grading. Unacceptable images were found in 33% and 66% of healthy and diseased eyes, respectively. Conclusions and Relevance SQI is closely related to manual grading but we caution reliance on the optimized threshold to determine image quality. SQI is superior to SSI in discriminating between acceptable and unacceptable images.

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Retinal Vascular Impairment in Best Vitelliform Macular Dystrophy Assessed by Means of Optical Coherence Tomography Angiography

Cited by 53 publications

References 25 publications

Findings of Optical Coherence Tomography Angiography in Best Vitelliform Macular Dystrophy

Findings of Optical Coherence Tomography Angiography in Best Vitelliform Macular Dystrophy

Acute macular neuroretinopathy: pathogenetic insights from optical coherence tomography angiography

Clinical validation of the RTVue optical coherence tomography angiography image quality indicators

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