Evidence map›Paper›PMID 41729044›Full record

Observational studyInvestigative ophthalmology & visual science2026

Optical Coherence Tomography Angiography Characterization of Vascular Alterations in Macular Telangiectasia Type 2.

Isabella Stettler, Francesco Romano, Xinyi Ding, Itika Garg, Sandra Hoyek, Katherine M Overbey, Cade Bennett, Filippos Vingopoulos, Matthew Finn, Mauricio Garcia and 11 more

Abstract readObservational Study
In one paragraph

Observational study in Investigative ophthalmology & visual science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Isabella StettlerHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Francesco RomanoHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Xinyi DingHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Itika GargHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Sandra HoyekRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
Katherine M OverbeyHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Cade BennettHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Filippos VingopoulosHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Matthew FinnHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Mauricio GarciaHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Jocelyn RodriguezHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Grace BaldwinHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Ioanna PloumiHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Inês LaìnsHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Nimesh A PatelRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
David M WuRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
Leo A KimRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
Deeba HusainRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
Demetrios G VavvasRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
Joan W MillerRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, United States.
John B MillerHarvard Retinal Imaging Lab, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate retinal microvascular and choriocapillaris changes across the newly proposed seven-step classification for macular telangiectasia type 2 (MacTel) using swept-source optical coherence tomography angiography (SS-OCTA). Methods: Cross-sectional, observational study including 111 eyes with MacTel (56 patients) and 120 matched control eyes (60 subjects). Participants underwent comprehensive ophthalmic examinations, including macular 6 × 6-mm SS-OCTA. MacTel eyes were categorized into one of seven grades (0-6) using multimodal imaging. SS-OCTA scans were processed to measure vessel density (VD), vessel skeletonized density (VSD), foveal avascular zone (FAZ) metrics, and choriocapillaris flow deficit percentage (CCFD%). Differences between groups were assessed using Mann-Whitney U, Kruskal-Wallis tests, and generalized mixed-effects models. Cluster analysis assessed the agreement between clinical grades and OCTA-based clusters. Results: Of the MacTel eyes, 32% were grade 0, 9% grade 1, 18% grade 2, 5% grade 3, 15% grade 4, 13% grade 5, and 8% grade 6. MacTel eyes exhibited significant alterations in VD and VSD, particularly in the central 1-mm circle and temporal/inferior sectors, alongside consistently higher CCFD% across all macular regions. Advanced grades (5-6) showed pronounced differences in VD, VSD, and CCFD% compared to early grades (0-2). Agreement between MacTel grading and OCTA-based clusters was fair to moderate (Adjusted Rand Index = 0.233), with higher concordance for grades 0 and 4 to 6. Conclusions: SS-OCTA reveals significant retinal vascular and choriocapillaris impairment in MacTel, with pronounced alterations in advanced disease grades. The observed vascular damage, extending beyond the MacTel area, underscores the value of OCTA in identifying disease severity and aiding in its classification.

Indexed as

ChoroidFluorescein AngiographyMacula LuteaRetinal TelangiectasisRetinal VesselsTomography, Optical CoherenceAgedCross-Sectional StudiesFemaleFundus OculiHumansMaleMiddle AgedVisual Acuity

Identifiers

PMID41729044
PMCPMC12934530

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.