Fernández-Vigo JI, Macarro-Merino A, De Moura-Ramos JJ, Alvarez-Rodriguez L, Burgos-Blasco B, Novo-Bujan J, Ortega-Hortas M, Fernández-Vigo JÁ. Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning.
J Cataract Refract Surg 2024;
50:37-42. [PMID:
37702457 DOI:
10.1097/j.jcrs.0000000000001316]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/08/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE
To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL).
SETTING
Centro Internacional de Oftalmología Avanzada (Madrid, Spain).
DESIGN
Cross-sectional study.
METHODS
325 eyes were assessed for the presence and severity of glistening in 4 IOL models: ReSTOR+3 SN6AD1 (n = 41), SN60WF (n = 110), PanOptix TFNT (n = 128) and Vivity DFT015 (n = 46). The presence of glistening was analyzed using OCT, identifying the presence of hyperreflective foci (HRF) in the central area of the IOL. A manual and an original DL-based quantification algorithm designed for this purpose was applied.
RESULTS
Glistening was detected in 22 (53.7%) ReSTOR SN6AD1, 44 (40%) SN60WF, 49 (38.3%) PanOptix TFNT, and 4 (8.7%) Vivity DFT015 IOLs, when any grade was considered. In the comparison of the different types of IOLs, global glistening measured as total HRF was 17.3 ± 25.9 for the ReSTOR+3; 9.3 ± 15.7 for the SN60WF; 6.9 ± 10.5 for the PanOptix; and 1.2 ± 2.6 for the Vivity ( P < .05). There was excellent agreement between manual and DL-based quantification (≥0.829).
CONCLUSIONS
It is possible to quantify, classify and compare the glistening severity in different IOL models using OCT images in a simple and objective manner with a DL algorithm. In the comparative study, the Vivity presented the lowest severity of glistening.
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