Optical coherence tomography angiography (OCTA) has become part of the clinical practice and its growing applications are in continuous development. Coherently with the growing concern about the human and economic cost of diabetes, diabetic retinopathy (DR) was the most popular topic for OCTA studies in the past year. The analysis of the literature reveals that applications of OCTA in DR are in continuous growth. In particular, ultrawide field (UWF) OCTA and artificial intelligence (AI) based on OCTA images are affirming as the new frontiers of scientific research in the field. Diagnostic accuracy of AI methods based on OCTA is equal or superior to the one based on OCT methods and also bears potential to detect systemic associations. UWF OCTA is noninvasive method that is reaching similar accuracy of FA in detection of neovascularization and intraretinal microvascular abnormalities (IRMAs) and has allowed better characterization of microvascular peripherical changes in DR. Lastly, deep capillary plexus (DCP) characteristics seem to play a pivotal role in the development of diabetic macular edema (DME) and refinement of biomarkers for different phenotypes of DME and diabetic macular ischemia (DMI) is currently on its way.

OCT angiography 2023 update: focus on diabetic retinopathy / Crincoli, E.; Sacconi, R.; Querques, L.; Querques, G.. - In: ACTA DIABETOLOGICA. - ISSN 0940-5429. - 61:5(2024), pp. 533-541. [10.1007/s00592-024-02238-9]

OCT angiography 2023 update: focus on diabetic retinopathy

Sacconi R.;Querques G.
2024-01-01

Abstract

Optical coherence tomography angiography (OCTA) has become part of the clinical practice and its growing applications are in continuous development. Coherently with the growing concern about the human and economic cost of diabetes, diabetic retinopathy (DR) was the most popular topic for OCTA studies in the past year. The analysis of the literature reveals that applications of OCTA in DR are in continuous growth. In particular, ultrawide field (UWF) OCTA and artificial intelligence (AI) based on OCTA images are affirming as the new frontiers of scientific research in the field. Diagnostic accuracy of AI methods based on OCTA is equal or superior to the one based on OCT methods and also bears potential to detect systemic associations. UWF OCTA is noninvasive method that is reaching similar accuracy of FA in detection of neovascularization and intraretinal microvascular abnormalities (IRMAs) and has allowed better characterization of microvascular peripherical changes in DR. Lastly, deep capillary plexus (DCP) characteristics seem to play a pivotal role in the development of diabetic macular edema (DME) and refinement of biomarkers for different phenotypes of DME and diabetic macular ischemia (DMI) is currently on its way.
2024
Inglese
Springer-Verlag Italia s.r.l.
61
5
533
541
9
Pubblicato
Esperti anonimi
Internazionale
Goal 3: Good health and well-being
Artificial intelligence
Diabetic macular edema
Diabetic macular ischemia
Diabetic retinopathy
OCTA
UWF
No
OCT angiography 2023 update: focus on diabetic retinopathy / Crincoli, E.; Sacconi, R.; Querques, L.; Querques, G.. - In: ACTA DIABETOLOGICA. - ISSN 0940-5429. - 61:5(2024), pp. 533-541. [10.1007/s00592-024-02238-9]
none
4
info:eu-repo/semantics/article
262
Crincoli, E.; Sacconi, R.; Querques, L.; Querques, G.
1 Contributo su Rivista::1.1.1 Articolo in rivista - Review
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/198337
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