Practical guidance for imaging biomarkers in exudative age-related macular degeneration

被引:6
|
作者
Rispoli, Marco [1 ]
Cennamo, Gilda [2 ]
Di Antonio, Luca [3 ]
Lupidi, Marco [4 ]
Parravano, Mariacristina [5 ]
Pellegrini, Marco [6 ]
Veritti, Daniele [7 ]
Vujosevic, Stela [8 ,9 ]
Savastano, Maria Cristina [10 ,11 ]
机构
[1] Rome Eye Hosp, Rome, Italy
[2] Univ Naples Federico II, Feder Univ 2, Dept Neurosci Reproduct & Odontostomatol Sci, Publ Hlth Dept,Eye Clin, Naples, Italy
[3] UOC Ophthalmol & Surg Dept, ASL 1 Avezzano Sulmona, Laquila, Italy
[4] Polytech Univ Marche, Dept Expt & Clin Med, Eye Clin, Ancona, Italy
[5] IRCCS Fdn Bietti, Rome, Italy
[6] Univ Milan, Luigi Sacco Hosp, Dept Biomed & Clin Sci Luigi Sacco, Eye Clin, Milan, Italy
[7] Univ Udine, Dept Med Ophthalmol, Udine, Italy
[8] Univ Eye Clin, IRCCS Multimed, Milan, Italy
[9] Univ Milan, Dept Biomed Surg & Dent Sci, Milan, Italy
[10] Fdn Policlin Univ A Gemelli IRCCS, Ophthalmol Unit, Rome, Italy
[11] Univ Cattolica Sacro Cuore, Rome, Italy
关键词
Artificial Intelligence; Biomarkers; Imaging; Optical Coherence Tomography; Angiography; Exudative age-related macular; degeneration; COHERENCE TOMOGRAPHY-ANGIOGRAPHY; CHOROIDAL NEOVASCULARIZATION; AMPLITUDE-DECORRELATION; FLUORESCENCE; FLUID; QUANTIFICATION; SHIFT; AMD;
D O I
10.1016/j.survophthal.2023.02.004
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
We provide an overview of current macular imaging techniques and identify and describe biomarkers that may be of use in the routine management of macular diseases, particularly exudative age-related macular degeneration (AMD). This perspective includes sections on macular imaging techniques including optical coherence tomography (OCT) and OCT angiography (OCTA), classification of exudative AMD, and biomarkers in structural OCT and OCTA. Fluorescein angiography remains a vital tool for assessing the activity of neovascular lesions, while indocyanine green angiography is the preferred option for choroidal vessel imaging in neovascular AMD. OCT provides a non-invasive three-dimensional visualization of retinal architecture in vivo and is useful in the diagnosis of many imaging biomarkers of AMD-related neovascular lesions, including lesion activity. OCTA is a recent advance in OCT technology that allows accurate visualization of retinal and choroidal vascular flow. OCT and OCTA have led to an updated classification of exudative AMD lesions and provide several biomarkers that help to establish a diagnosis and the disease activity status of neovascular lesions. Individualization of therapy guided by OCT and OCTA biomarkers has the potential to further improve visual outcomes in exudative AMD. Moving forwards, integration of technologically-advanced imaging equipment with AI software will help ophthalmologists to provide patients with the best possible care. (C) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:615 / 627
页数:13
相关论文
共 50 条
  • [1] Choroidal imaging biomarkers as predictors of conversion to exudative age-related macular degeneration
    Zarnegar, Arman
    Valsecchi, Nicola
    Sadeghi, Elham
    Shah, Stavan
    Tang, Anthony
    Yagobian, Shiva
    Iannetta, Danilo
    Chhablani, Jay
    GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2025, 263 (01) : 59 - 67
  • [2] Cystoid Macular Degeneration in Exudative Age-Related Macular Degeneration
    Querques, Giuseppe
    Coscas, Florence
    Forte, Raimondo
    Massamba, Nathalie
    Sterkers, Margaret
    Souied, Eric H.
    AMERICAN JOURNAL OF OPHTHALMOLOGY, 2011, 152 (01) : 100 - 107
  • [3] Imaging Suprachoroidal Layer in Exudative Age-Related Macular Degeneration
    Kim, Jae Hui
    Chang, Young Suk
    Kim, Jong Woo
    Lee, Tae Gon
    Lew, Young Ju
    CURRENT EYE RESEARCH, 2016, 41 (05) : 715 - 720
  • [4] Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes
    Motozawa, Naohiro
    An, Guangzhou
    Takagi, Seiji
    Kitahata, Shohei
    Mandai, Michiko
    Hirami, Yasuhiko
    Yokota, Hideo
    Akiba, Masahiro
    Tsujikawa, Akitaka
    Takahashi, Masayo
    Kurimoto, Yasuo
    OPHTHALMOLOGY AND THERAPY, 2019, 8 (04) : 527 - 539
  • [5] Advances in Imaging in Age-Related Macular Degeneration
    Keane P.A.
    Sim D.A.
    Sadda S.R.
    Current Ophthalmology Reports, 2013, 1 (1) : 1 - 11
  • [6] Imaging biomarkers and artificial intelligence for diagnosis, prediction, and therapy of macular fibrosis in age-related macular degeneration: Narrative review and future directions
    Gandhewar, Rishikesh
    Guimaraes, Thales
    Sen, Sagnik
    Pontikos, Nikolas
    Moghul, Ismail
    Empeslidis, Theodoros
    Michaelides, Michel
    Balaskas, Konstantinos
    GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2025,
  • [7] Age-related macular degeneration - biomarkers and therapies
    Kurzawa-Akanbi, Marzena
    Lotery, Andrew
    Steel, David H.
    Lako, Majlinda
    REGENERATIVE MEDICINE, 2021, 16 (05) : 431 - 434
  • [8] A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration
    Schmidt-Erfurth, Ursula
    Waldstein, Sebastian M.
    PROGRESS IN RETINAL AND EYE RESEARCH, 2016, 50 : 1 - 24
  • [9] VITRECTOMY FOR EXUDATIVE AGE-RELATED MACULAR DEGENERATION WITH VITREOUS HEMORRHAGE
    Sakamoto, Taiji
    Sheu, Shwu-Jiuan
    Arimura, Noboru
    Sameshima, Seiji
    Shimura, Masahiko
    Uemura, Akinori
    Kawano, Hiroki
    Wu, Tsung-Tien
    Kubota, Toshiaki
    Sohma, Rika
    Noda, Yoshihiro
    RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES, 2010, 30 (06): : 856 - 864
  • [10] Artificial intelligence for diagnosing exudative age-related macular degeneration
    Kang, Chaerim
    Lo, Jui-En
    Zhang, Helen
    Ng, Sueko M.
    Lin, John C.
    Scott, Ingrid U.
    Kalpathy-Cramer, Jayashree
    Liu, Su-Hsun
    Greenberg, Paul B.
    COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2024, (10):