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人工智能在不同屈光状态的青年人眼底格子样密度定量评估中的应用。

Application of Artificial Intelligence to Quantitative Assessment of Fundus Tessellated Density in Young Adults with Different Refractions.

机构信息

Shandong University of Traditional Chinese Medicine, Jinan, China,

Shandong University of Traditional Chinese Medicine, Jinan, China.

出版信息

Ophthalmic Res. 2023;66(1):706-716. doi: 10.1159/000529639. Epub 2023 Feb 28.

Abstract

INTRODUCTION

The aim of this study was to quantitatively assess fundus tessellated density (FTD) and associated factors by artificial intelligence (AI) in young adults.

METHODS

A total of 1,084 undergraduates (age, 17-23 years old) were enrolled in November 2021. The students were divided into three groups according to axial length (AL): group 1 (AL <24.0 mm, n = 155), group 2 (24 mm ≤ AL <26 mm, n = 578), and group 3 (AL ≥26 mm, n = 269). FTD was calculated by extracting the fundus tessellations as the regions of interest (circle 1, diameter of 3.0 mm; circle 2, diameter of 6.0 mm) and then calculating the average exposed choroid area per unit area of fundus.

RESULTS

Among 1,084 students, 1,002 (92.5%) students' FTDs were extracted. The mean FTD was 0.06 ± 0.06 (range, 0-0.40). In multivariate analysis, FTD was significantly associated with male sex, longer AL, thinner subfoveal choroid thickness (SFCT), increased choriocapillaris vessel density (VD), and decreased deeper choroidal VD (all p < 0.05). In circle 1 (diameter of 3.0 mm) and circle 2 (diameter of 6.0 mm), analysis of variance showed that the FTD of the nasal region (p < 0.05) was significantly larger than that of the superior, inferior, and temporal regions.

CONCLUSION

AI-based imaging processing could improve the accuracy of fundus tessellation diagnosis. FTD was significantly associated with a longer AL, thinner SFCT, increased choriocapillaris VD, and decreased deeper choroidal VD.

摘要

简介

本研究旨在通过人工智能(AI)定量评估年轻人的眼底镶嵌密度(FTD)及其相关因素。

方法

2021 年 11 月共纳入 1084 名大学生(年龄 17-23 岁)。根据眼轴(AL)将学生分为三组:组 1(AL <24.0mm,n=155)、组 2(24mm≤AL <26mm,n=578)和组 3(AL≥26mm,n=269)。通过提取作为感兴趣区域的眼底镶嵌图来计算 FTD(直径 3.0mm 的圆 1;直径 6.0mm 的圆 2),然后计算单位眼底面积暴露脉络膜的平均面积。

结果

在 1084 名学生中,提取了 1002 名(92.5%)学生的 FTD。平均 FTD 为 0.06±0.06(范围 0-0.40)。多变量分析显示,FTD 与男性、较长的 AL、较薄的黄斑中心凹下脉络膜厚度(SFCT)、增加的脉络膜毛细血管血管密度(VD)以及较深脉络膜 VD 减少显著相关(均 p <0.05)。在直径 3.0mm 的圆 1 和直径 6.0mm 的圆 2 中,方差分析显示,鼻侧区域的 FTD(p <0.05)明显大于上、下和颞侧区域。

结论

基于 AI 的成像处理可以提高眼底镶嵌诊断的准确性。FTD 与较长的 AL、较薄的 SFCT、增加的脉络膜毛细血管 VD 和减少的较深脉络膜 VD 显著相关。

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