Diagnostic Accuracy of Corneal and Epithelial Thickness Map Parameters to Detect Keratoconus and Suspect Keratoconus.

IF 1.8 4区 医学 Q3 OPHTHALMOLOGY
Journal of Ophthalmology Pub Date : 2023-10-06 eCollection Date: 2023-01-01 DOI:10.1155/2023/6677932
Abdelrahman Salman, Cosimo Mazzotta, Obeda Kailani, Marwan Ghabra, Rana Omran, Ashraf Armia Balamoun, Taym Darwish, Rafea Shaaban, Hala Alhaji
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引用次数: 0

Abstract

Aim: To establish the diagnostic accuracy of corneal and epithelial thickness measurements obtained by spectral-domain optical coherence tomography (SD-OCT) in detecting keratoconus (KC) and suspect keratoconus (SKC).

Methods: This retrospective study reviewed the data of 144 eyes separated into three groups by the Sirius automated corneal classification software: normal (N) (n = 65), SKC (n = 43), and KC (n = 36). Corneal thickness (CT) and epithelial thickness (ET) in the central (0-2 mm) and paracentral (2-5 mm) zones were obtained with the Cirrus high-definition OCT. Areas under the curve (AUC) of receiver operator characteristic (ROC) curves were compared across groups to estimate their discrimination capacity.

Results: ROC curve analysis revealed excellent predictive ability for ET variables: minimum (Min) ET (0_2), minimum-maximum (Min-Max) ET (0_2), superonasal-inferotemporal (SN-IT) ET (2_5), Min-Max ET (2_5), and Min ET (2_5) to detect keratoconus (AUC > 0.9, all). Min-Max CT (0_2) was the only CT parameter with excellent ability to discriminate between KC and N eyes (AUC = 0.94; cutoff = ≤-32 μm). However, both ET and CT variables were not strong enough (AUC < 0.8, all) to differentiate between SKC and N eyes, with the highest diagnostic power for Min-Max ET (2_5) (AUC = 0.71; cutoff = ≤-9 μm) and central corneal thickness (CCT) (AUC = 0.76; cutoff = ≤533 μm).

Conclusion: These results demonstrate that OCT-derived CT and ET are able to differentiate between KC and N eyes, with a high level of certainty. However, Min-Max ET (2_5) was the parameter with the highest ability to detect suspect keratoconus.

角膜和上皮厚度图参数检测角膜和疑似角膜的诊断准确性。
目的:建立光谱域光学相干断层扫描(SD-OCT)角膜和上皮厚度测量对圆锥角膜(KC)和可疑圆锥角膜(SKC)的诊断准确性 = 65),SKC(n = 43)和KC(n = 36)。角膜厚度(CT)和中央上皮厚度(ET)(0-2 mm)和中央旁(2-5 mm)区域。将受试者-操作者特征(ROC)曲线的曲线下面积(AUC)在各组之间进行比较,以估计其辨别能力。结果:ROC曲线分析显示,ET变量具有良好的预测能力:最小(Min)ET(0_2)、最小-最大(Min-Max > 0.9)。最小最大CT(0_2)是唯一一个具有良好区分KC和N眼能力的CT参数(AUC = 0.94;切断 = ≤-32 μm)。然而,ET和CT变量都不够强(AUC μm)和中央角膜厚度(CCT)(AUC) = 0.76;切断 = ≤533 μm)。结论:这些结果表明OCT衍生的CT和ET能够以高水平的确定性区分KC和N眼。然而,最小-最大ET(2_5)是检测可疑圆锥角膜能力最高的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Ophthalmology
Journal of Ophthalmology MEDICINE, RESEARCH & EXPERIMENTAL-OPHTHALMOLOGY
CiteScore
4.30
自引率
5.30%
发文量
194
审稿时长
6-12 weeks
期刊介绍: Journal of Ophthalmology is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to the anatomy, physiology and diseases of the eye. Submissions should focus on new diagnostic and surgical techniques, instrument and therapy updates, as well as clinical trials and research findings.
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