Literature DB >> 34826998

Commentary: Imaging in macular telangiectasia type 2 - Correlating structural change with vision.

Muna Bhende1.   

Abstract

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Year:  2021        PMID: 34826998      PMCID: PMC8837293          DOI: 10.4103/ijo.IJO_2086_21

Source DB:  PubMed          Journal:  Indian J Ophthalmol        ISSN: 0301-4738            Impact factor:   1.848


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Macular telangiectasia, or MacTel, is a neurodegenerative disorder of the macula with a vascular component that is believed to be compensatory or secondary to the primary pathology. Classic clinical features include a loss of foveal translucency, crystalline deposits, intra-retinal cavitary lesions, loss of macular pigment, widened capillary spaces, right-angled vessels, pigment proliferation, perifoveal capillary ectasia, subretinal neovascularization (SRNV), and foveal atrophy. Two different forms, namely nonproliferative and proliferative, have been described. The original classification of MacTel was proposed by Gass, who divided it into four stages based on the clinical appearance.[1] Further classifications were based on Fluorescein angiography (FFA) leakage, optical coherence tomography (OCT) patterns, optical coherence tomography angiography (OCTA), and multimodal imaging. Most use circumferential involvement as a feature, starting with temporal involvement alone in early stages, and temporal and nasal and eventually the entire circumference with advanced stages of the disease. Various investigations that are performed to characterize the neurodegenerative component are Confocal blue reflectance, optical coherence tomography (OCT) - Muller cell function and ganglion cell involvement. Increased reflectance with confocal blue light occurs due to Muller cell damage as these cells transmit light through the retina and reduced macular pigment whose absorption maximum is in the blue range.[23] Macular pigment optic density assessment (MPOD), Fluorescence lifetime imaging (FLIO) – Macular pigment, photoreceptors. FLIO has been shown to detect changes in macular pigment with high contrast; thus, changes in macular pigment-specific lifetimes provide information about macular photoreceptors or possibly Müller cell loss.[4] OCT, including enface OCT – Ellipsoid zone (EZ) evaluation.[5] Multifocal ERG (MFERG), microperimetry – tests of function. Investigations that evaluate the vascular or angiogenic component include FFA – nonproliferative vs. proliferative MacTel, identification of SRNV OCT – EZ changes[5] OCTA – telangiectasia in superficial and deep capillary plexus (SCP and DCP), right-angled vessels, retinochoroidal anastomosis (RCA), SRNV, and vessel density. The neurodegenerative and vascular changes are believed to run in parallel.[3] Photoreceptors along the margins of EZ loss may be the initial source of signaling to the overlying vasculature leading to telangiectasia, and progressive loss of these photoreceptors may alter the signal. This, combined with loss of the Muller cell control of vascular growth, may lead to worsening of telangiectasia and the development of SRNV.[6] Methods of evaluating the severity of MacTel involve both qualitative and quantitative imaging features, in particular using OCT and OCTA. The EZ integrity measured on horizontal OCT images and the EZ area measured on en face OCT are representative of photoreceptor function. They are currently the most established markers for disease progression as well as assessment of response to interventional measures for the disease.[5] Retinal cavitations are caused by Muller cell damage and are known to change in character over time as a process of continuous remodeling. Large cavitations and extensive EZ loss are seen in eyes with poor vision, though cavitations may disappear with extensive end-stage atrophy. The lack of correlation between cavitation volume and EZ disruption has been observed, though cavitation volume has been shown to negatively correlate with BCVA.[7] OCTA enables us to obtain three-dimensional images of the perfused microvasculature in different retinal layers and choroid in a repeatable, noninvasive manner. OCTA studies of the retinal vasculature in MacTel have observed a decrease of capillary density, dilated and telangiectatic vessels, and the presence of RCA as well as SRNV in the outer retinal layers. Quantitative OCT-A data show a progressive rarefication of the retinal microvasculature in MacTel. The deep retinal plexus showed a progressive decrease of mean vessel density (VD), skeleton density (SD), and fractal dimension (FD) in the temporal parafoveal region in all disease stages. In the superficial layer, VD, SD, and FD were significantly decreased in the temporal parafoveal region of advanced and neovascular stages. The segments of the ETDRS grid were used as guides for measurement.[89] An article in this issue of the journal measured the area of vascular telangiectasia and correlated it with other clinical and structural parameters on OCT.[10] Measurement of the dimensions of the vascular abnormality has rarely been performed, possibly due to the difficulty in accurately identifying the exact borders of the same. The dynamic changes that occur in the natural history of the disease especially with respect to retinal cavitations on OCT emphasize the need to select imaging techniques and parameters that are reliable, reproducible, and easily interpreted. Severe vision loss is rare in MacTel and is mostly due to the neurodegenerative component, rarely the neovascular process. Findings in eyes with very poor vision from MacTel Natural History Observation Registration Study showed foveal photoreceptor layer atrophy with or without associated subretinal fibrosis; an affected area, termed MacTel area, limited to a horizontal diameter not exceeding the distance between the temporal optic disc margin and foveal center, and the vertical diameter not exceeding approximately 0.8 times this distance (except in eyes with large SRNV); reduced retinal thickness measures within the MacTel area; and less frequent retinal greying and more frequent hyperpigmentation compared with eyes with better BCVA.[11] Imaging in MacTel has given us a greater understanding of the pathogenesis of the disease, the presence of two parallel pathways of neurodegeneration and angiogenesis, and reliable biomarkers to assess response to treatment. Combined with our recent understanding of genetic influences that could dictate the phenotype, treatments could be directed toward managing the proliferative and nonproliferative forms of the disease.
  11 in total

1.  Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography.

Authors:  Richard F Spaide; James M Klancnik; Michael J Cooney
Journal:  JAMA Ophthalmol       Date:  2015-01       Impact factor: 7.389

2.  Quantification of Retinal and Choriocapillaris Perfusion in Different Stages of Macular Telangiectasia Type 2.

Authors:  Simone Tzaridis; Maximilian W M Wintergerst; Clarissa Mai; Tjebo F C Heeren; Frank G Holz; Peter Charbel Issa; Philipp Herrmann
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-08-01       Impact factor: 4.799

3.  Macular Telangiectasia Type 2: Visual Acuity, Disease End Stage, and the MacTel Area: MacTel Project Report Number 8.

Authors:  Tjebo F C Heeren; Emily Y Chew; Traci Clemons; Marcus Fruttiger; Konstantinos Balaskas; Roy Schwartz; Catherine A Egan; Peter Charbel Issa
Journal:  Ophthalmology       Date:  2020-04-21       Impact factor: 12.079

4.  Progression of vascular changes in macular telangiectasia type 2: comparison between SD-OCT and OCT angiography.

Authors:  Daniel Pauleikhoff; Frederic Gunnemann; Marius Book; Kai Rothaus
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-05-16       Impact factor: 3.117

5.  LONGITUDINAL CORRELATION OF ELLIPSOID ZONE LOSS AND FUNCTIONAL LOSS IN MACULAR TELANGIECTASIA TYPE 2.

Authors:  Tjebo F C Heeren; Diána Kitka; Daniela Florea; Traci E Clemons; Emily Y Chew; Alan C Bird; Daniel Pauleikhoff; Peter Charbel Issa; Frank G Holz; Tunde Peto
Journal:  Retina       Date:  2018-01       Impact factor: 4.256

6.  Confocal blue reflectance imaging in type 2 idiopathic macular telangiectasia.

Authors:  Peter Charbel Issa; Tos T J M Berendschot; Giovanni Staurenghi; Frank G Holz; Hendrik P N Scholl
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-03       Impact factor: 4.799

7.  Does size of telangiectasia on optical coherence tomography angiography influence vision in eyes with type 2 macular telangiectasia?

Authors:  Aditya S Kelkar; Jai A Kelkar; Sayali Tidke; Aanchal Agarwal; Mounika Bolisetty; Shreekant Kelkar
Journal:  Indian J Ophthalmol       Date:  2021-12       Impact factor: 1.848

8.  Retinal cavitations in macular telangiectasia type 2 (MacTel): longitudinal structure-function correlations.

Authors:  Cindy X Cai; John Choong; Sina Farsiu; Stephanie J Chiu; Emily Y Chew; Glenn J Jaffe
Journal:  Br J Ophthalmol       Date:  2020-03-09       Impact factor: 4.638

9.  FLUORESCENCE LIFETIME PATTERNS IN MACULAR TELANGIECTASIA TYPE 2.

Authors:  Yasmin Solberg; Chantal Dysli; Sebastian Wolf; Martin S Zinkernagel
Journal:  Retina       Date:  2020-01       Impact factor: 3.975

10.  Overlap between telangiectasia and photoreceptor loss increases with progression of macular telangiectasia type 2.

Authors:  Paul S Micevych; Hee Eun Lee; Amani A Fawzi
Journal:  PLoS One       Date:  2019-10-28       Impact factor: 3.240

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