A Novel Grading System for Diffuse Chorioretinal Atrophy in Pathologic Myopia

© 2024. The Author(s)..

INTRODUCTION: This study aims to quantitatively assess diffuse chorioretinal atrophy (DCA) in pathologic myopia and establish a standardized classification system utilizing artificial intelligence.

METHODS: A total of 202 patients underwent comprehensive examinations, and 338 eyes were included in the study. The methodology involved image preprocessing, sample labeling, employing deep learning segmentation models, measuring and calculating the area and density of DCA lesions. Lesion severity of DCA was graded using statistical methods, and grades were assigned to describe the morphology of corresponding fundus photographs. Hierarchical clustering was employed to categorize diffuse atrophy fundus into three groups based on the area and density of diffuse atrophy (G1, G2, G3), while high myopic fundus without diffuse atrophy was designated as G0. One-way analysis of variance (ANOVA) and nonparametric tests were conducted to assess the statistical association with different grades of DCA.

RESULTS: On the basis of the area and density of DCA, the condition was classified into four grades: G0, G1 (0 < density ≤ 0.093), G2 (0.093 < density ≤ 0.245), and G3 (0.245 < density ≤ 0.712). Fundus photographs depicted a progressive enlargement of atrophic lesions, evolving from punctate-shaped to patchy with indistinct boundaries. DCA atrophy lesions exhibited a gradual shift in color from brown-yellow to yellow-white, originating from the temporal side of the optic disc and extending towards the macula, with severe cases exhibiting widespread distribution throughout the posterior pole. Patients with DCA were significantly older [34.00 (27.00, 48.00) vs 29.00 (26.00, 34.00) years], possessed a longer axial length (28.85 ± 1.57 vs 27.11 ± 1.01 mm), and exhibited a more myopic spherical equivalent [- 13.00 (- 16.00, - 10.50) vs - 9.09 ± 2.41 D] compared to those without DCA (G0) (all P < 0.001). In eyes with DCA, a trend emerged as grades increased from G1 to G3, showing associations with older age, longer axial length, deeper myopic spherical equivalent, larger area of parapapillary atrophy, and increased fundus tessellated density (all P < 0.001).

CONCLUSIONS: The novel grading system for DCA, based on assessments of area and density, serves as a reliable measure for evaluating the severity of this condition, making it suitable for widespread application in the screening of pathologic myopia.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Ophthalmology and therapy - 13(2024), 5 vom: 05. Apr., Seite 1171-1184

Sprache:

Englisch

Beteiligte Personen:

Niu, Yu-Ning [VerfasserIn]
He, Hai-Long [VerfasserIn]
Chen, Xuan-Yu [VerfasserIn]
Ling, Sai-Guang [VerfasserIn]
Dong, Zhou [VerfasserIn]
Xiong, Ying [VerfasserIn]
Qi, Yue [VerfasserIn]
Jin, Zi-Bing [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
Diffuse chorioretinal atrophy
Journal Article
Pathologic myopia

Anmerkungen:

Date Revised 26.04.2024

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1007/s40123-024-00908-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369317130