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Volume-rendering three-dimensional image analysis of macular neovascularization in age-related macular degeneration

Abstract

Background

To visualize and investigate the three-dimensional (3D) images of macular neovascularization (MNV) in eyes with neovascular age-related macular degeneration using optical coherence tomography angiography (OCTA) according to the treatment response to intravitreal aflibercept injection (IVI).

Methods

OCTA images at baseline and 12 weeks (after three loading IVIs) were retrospectively reconstructed as 3D images for patients with type 1 and 2 MNV treated with the “pro-re-nata” regimen. The fluid-free and persistent fluid groups were divided according to the presence of subretinal and intraretinal fluid at 12 weeks after treatment. Using reconstructed 3D images of MNV, the volume, average volume per slice, and z-axis of the volumetric structure were evaluated.

Results

Twenty-three and nine were classified into the fluid-free and persistent fluid groups, respectively. The MNV volume decreased significantly from baseline to 12 weeks in the fluid-free group (p = 0.005), not in the persistent fluid group (p = 0.250). The average volume of MNV per slice at 12 weeks correlated with the persistent fluid group in both the univariate and multivariate analyses (p = 0.034, p = 0.039, Exp [B] = 14.005).

Conclusions

This study may provide a perspective on vascular volumetric changes of MNV according to treatment response.

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Fig. 1: Volume-rendering process of the three-dimensional image of macular neovascularization (MNV) in age-related macular degeneration.
Fig. 2: Enface image of optical coherence tomography angiography (OCTA) and three-dimensional (3D) reconstructed macular neovascularization (MNV) image from the fluid-free group.
Fig. 3: Enface image of optical coherence tomography angiography (OCTA) and three-dimensional (3D) reconstructed macular neovascularization (MNV) image from the persistent fluid group.
Fig. 4: The macular neovascularization (MNV) area in enface image (mm2), MNV volume (mm3), volume per slice (mm3), and z-axis thickness in three-dimensional (3D) reconstructed MNV image at baseline and 12 weeks.

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Data availability

Image data extracted (MC) from the HEYEX software (Heidelberg Engineering, Heidelberg, Germany), and clinical information were anonymized by the first author (MC) and securely stored on an encrypted portable device. Raw data, including image data and clinical information, as well as supplementary video files (also anonymized), are available upon request to the first author or corresponding author (MC and SWK).

References

  1. Wong WL, Su X, Li X, Cheung CM, Klein R, Cheng CY, et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health. 2014;2:e106–16. https://doi.org/10.1016/s2214-109x(13)70145-1.

    Article  PubMed  Google Scholar 

  2. Yannuzzi LA, Negrão S, Iida T, Carvalho C, Rodriguez-Coleman H, Slakter J, et al. Retinal angiomatous proliferation in age-related macular degeneration. Retina. 2001;21:416–34. https://doi.org/10.1097/00006982-200110000-00003.

    Article  CAS  PubMed  Google Scholar 

  3. Faatz H, Farecki ML, Rothaus K, Gunnemann F, Gutfleisch M, Lommatzsch A, et al. Optical coherence tomography angiography of types 1 and 2 choroidal neovascularization in age-related macular degeneration during anti-VEGF therapy: evaluation of a new quantitative method. Eye. 2019;33:1466–71. https://doi.org/10.1038/s41433-019-0429-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Pilotto E, Frizziero L, Daniele AR, Convento E, Longhin E, Guidolin F, et al. Early OCT angiography changes of type 1 CNV in exudative AMD treated with anti-VEGF. Br J Ophthalmol. 2019;103:67–71. https://doi.org/10.1136/bjophthalmol-2017-311752.

    Article  PubMed  Google Scholar 

  5. Coscas F, Cabral D, Pereira T, Geraldes C, Narotamo H, Miere A, et al. Quantitative optical coherence tomography angiography biomarkers for neovascular age-related macular degeneration in remission. PLoS ONE. 2018;13:e0205513 https://doi.org/10.1371/journal.pone.0205513.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Choi M, Kim SW, Yun C, Oh J. OCT angiography features of neovascularization as predictive factors for frequent recurrence in age-related macular degeneration. Am J Ophthalmol. 2020;213:109–19. https://doi.org/10.1016/j.ajo.2020.01.012.

    Article  PubMed  Google Scholar 

  7. Choi M, Kim SW, Yun C, Oh JH, Oh J. Predictive role of optical coherence tomography angiography for exudation recurrence in patients with type 1 neovascular age-related macular degeneration treated with pro-re-nata protocol. Eye. 2023;37:34–41. https://doi.org/10.1038/s41433-021-01879-2.

    Article  CAS  PubMed  Google Scholar 

  8. Choi M, Ahn S, Yun C, Kim SW. Quantitative OCT angiography findings according to pattern classification of type 1 neovascularization exudative age-related macular degeneration. Eye. 2022;36:414–23. https://doi.org/10.1038/s41433-021-01496-z.

    Article  CAS  PubMed  Google Scholar 

  9. Cabral D, Coscas F, Pereira T, Français C, Geraldes C, Laiginhas R, et al. Quantitative optical coherence tomography angiography biomarkers in a treat-and-extend dosing regimen in neovascular age-related macular degeneration. Transl Vis Sci Technol. 2020;9:18. https://doi.org/10.1167/tvst.9.3.18.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Borrelli E, Mastropasqua L, Souied E, Sadda S, Vella G, Toto L, et al. Longitudinal assessment of type 3 macular neovascularization using 3D volume-rendering OCTA. Can J Ophthalmol. 2022;57:228–35. https://doi.org/10.1016/j.jcjo.2021.04.020.

    Article  PubMed  Google Scholar 

  11. Borrelli E, Sacconi R, Brambati M, Bandello F, Querques G. In vivo rotational three-dimensional OCTA analysis of microaneurysms in the human diabetic retina. Sci Rep. 2019;9:16789. https://doi.org/10.1038/s41598-019-53357-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Borrelli E, Sacconi R, Klose G, de Sisternes L, Bandello F, Querques G. Rotational three-dimensional OCTA: a notable new imaging tool to characterize type 3 macular neovascularization. Sci Rep. 2019;9:17053. https://doi.org/10.1038/s41598-019-53307-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Borrelli E, Sacconi R, Querques L, Battista M, Bandello F, Querques G. Quantification of diabetic macular ischemia using novel three-dimensional optical coherence tomography angiography metrics. J Biophotonics. 2020;13:e202000152. https://doi.org/10.1002/jbio.202000152.

    Article  CAS  PubMed  Google Scholar 

  14. Spaide RF, Suzuki M, Yannuzzi LA, Matet A, Behar-Cohen F. Volume-rendered angiographic and structural optical coherence tomography angiography of macular telangiectasia type2. Retina. 2017;37:424–35. https://doi.org/10.1097/iae.0000000000001344.

    Article  PubMed  Google Scholar 

  15. Maloca PM, Spaide RF, de Carvalho ER, Studer HP, Hasler PW, Scholl HPN, et al. Novel biomarker of sphericity and cylindricity indices in volume-rendering optical coherence tomography angiography in normal and diabetic eyes: a preliminary study. Graefes Arch Clin Exp Ophthalmol. 2020;258:711–23. https://doi.org/10.1007/s00417-019-04582-x.

    Article  PubMed  Google Scholar 

  16. Reich M, Dreesbach M, Boehringer D, Schottenhamml J, Gehring E, Scholl HPN, et al. Negative vessel remodeling in stargardt disease quantified with volume-rendered optical coherence tomography angiography. Retina. 2021;41:1948–57. https://doi.org/10.1097/iae.0000000000003110.

    Article  CAS  PubMed  Google Scholar 

  17. Sekiryu T, Sugano Y, Ojima A, Mori T, Furuta M, Okamoto M, et al. Hybrid three-dimensional visualization of choroidal vasculature imaged by swept-source optical coherence tomography. Transl Vis Sci Technol. 2019;8:31 https://doi.org/10.1167/tvst.8.5.31.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Tsuji S, Sekiryu T, Sugano Y, Ojima A, Kasai A, Okamoto M, et al. Semantic segmentation of the choroid in swept source optical coherence tomography images for volumetrics. Sci Rep. 2020;10:1088 https://doi.org/10.1038/s41598-020-57788-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Richard G, Monés J, Wolf S, Korobelnik JF, Guymer R, Goldstein M, et al. Scheduled versus Pro Re Nata Dosing in the VIEW Trials. Ophthalmology. 2015;122:2497–503. https://doi.org/10.1016/j.ophtha.2015.08.014.

    Article  PubMed  Google Scholar 

  20. Lee WK, Baek J, Dansingani KK, Lee JH, Freund KB. Choroidal morphology in eyes with polypoidal choroidal vasculopathy and normal or subnormal subfoveal choroidal thickness. Retina. 2016;36:S73–82. https://doi.org/10.1097/iae.0000000000001346.

    Article  PubMed  Google Scholar 

  21. Holmen IC, Konda SM, Pak JW, McDaniel KW, Blodi B, Stepien KE, et al. Prevalence and severity of artifacts in optical coherence tomographic angiograms. JAMA Ophthalmol. 2020;138:119–26. https://doi.org/10.1001/jamaophthalmol.2019.4971.

    Article  PubMed  Google Scholar 

  22. Kim SW, Oh J, Kwon SS, Yoo J, Huh K. Comparison of choroidal thickness among patients with healthy eyes, early age-related maculopathy, neovascular age-related macular degeneration, central serous chorioretinopathy, and polypoidal choroidal vasculopathy. Retina. 2011;31:1904–11. https://doi.org/10.1097/IAE.0b013e31821801c5.

    Article  PubMed  Google Scholar 

  23. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676–82. https://doi.org/10.1038/nmeth.2019.

    Article  CAS  PubMed  Google Scholar 

  24. Schmid B, Schindelin J, Cardona A, Longair M, Heisenberg M. A high-level 3D visualization API for Java and ImageJ. BMC Bioinformatics. 2010;11:274 https://doi.org/10.1186/1471-2105-11-274.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Spaide RF. Optical coherence tomography angiography signs of vascular abnormalization with antiangiogenic therapy for choroidal neovascularization. Am J Ophthalmol. 2015;160:6–16. https://doi.org/10.1016/j.ajo.2015.04.012.

    Article  PubMed  Google Scholar 

  26. Korobelnik JF, Souied EH, Oubraham H, Razavi S, Mauget-Faÿsse M, Savel H, et al. Asssessment of early changes in spectral domain-optical coherence tomography after initiation of treatment with intravitreal aflibercept (eylea) over a 12-week period for patients with neovascular age-related macular degeneration: a multicenter French Study (START). Retina. 2021;41:588–94. https://doi.org/10.1097/iae.0000000000002910.

    Article  CAS  PubMed  Google Scholar 

  27. Tzima E, Irani-Tehrani M, Kiosses WB, Dejana E, Schultz DA, Engelhardt B, et al. A mechanosensory complex that mediates the endothelial cell response to fluid shear stress. Nature. 2005;437:426–31. https://doi.org/10.1038/nature03952.

    Article  CAS  PubMed  Google Scholar 

  28. la Sala A, Pontecorvo L, Agresta A, Rosano G, Stabile E. Regulation of collateral blood vessel development by the innate and adaptive immune system. Trends Mol Med. 2012;18:494–501. https://doi.org/10.1016/j.molmed.2012.06.007.

    Article  CAS  PubMed  Google Scholar 

  29. Hou X, Du HJ, Zhou J, Hu D, Wang YS, Li X. Role of junctional adhesion molecule-C in the regulation of inner endothelial blood-retinal barrier function. Front Cell Dev Biol. 2021;9:695657. https://doi.org/10.3389/fcell.2021.695657.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This research was supported in part by the Bio & Medical Technology Development Program of the NRF funded in part by the Korean government, the Ministry of Science and ICT (MSIP) (NRF- 2020R1A2C1005729).

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Authors

Contributions

MC and SWK were involved in the conception and design of the study. MC, SH were involved in the image extraction and data analysis. MC, SH and SWK were involved in data collection and literature research. SWK, CY and JO were involved in the interpretation and critical revision of the article. MC was involved in drafting of the manuscript. MC, SH, SWK, CY and JO were involved in the final approval of the article.

Corresponding author

Correspondence to Seong-Woo Kim.

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Choi, M., Han, S., Kim, SW. et al. Volume-rendering three-dimensional image analysis of macular neovascularization in age-related macular degeneration. Eye 38, 1125–1132 (2024). https://doi.org/10.1038/s41433-023-02838-9

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