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预测微生物性角膜炎的病原体:眼前节光学相干断层扫描的作用——一项横断面分析

Predicting the causative agent in microbial keratitis: the role of anterior segment optical coherence tomography-a cross-sectional analysis.

作者信息

Ben Addou Idrissi Sara, Bennis Ahmed, Moutei Hassan, Chraibi Fouad, Abdellaoui Meriem, Benatiya Andaloussi Idriss

机构信息

Omar Drissi Ophthalmology Hospital, Hassan II University Hospital, Fez, Morocco.

Faculty of Medicine, Pharmacy, and Dental Medicine, Sidi Mohamed Ben Abdellah University, Fez, Morocco.

出版信息

Int Ophthalmol. 2025 Apr 7;45(1):148. doi: 10.1007/s10792-025-03517-2.

Abstract

PURPOSE

To evaluate the anterior segment optical coherence tomography (AS-OCT) features of infectious keratitis (IK) and assess their correlation with clinical and microbiological findings.

METHODS

This cross-sectional study included 58 patients with culture-positive corneal abscesses, complete medical records, and high-quality AS-OCT imaging. Independent clinical and AS-OCT assessments were conducted to identify pathogen-specific features and evaluate their diagnostic sensitivity.

RESULTS

Distinct AS-OCT patterns were identified for each pathogen. Gram-positive bacterial keratitis was associated with stromal edema (p 0.006; OR = 20.6) and Descemet folds (p 0.01; OR = 4.83), whereas Gram-negative keratitis exhibited diffuse infiltrates (p < 0.001; OR = 14.286) and stromal thinning (p < 0.001; OR = 98.9). Fungal keratitis was characterized by stromal cystic spaces (p < 0.001; OR = 82.1), stromal thinning (p 0.042; OR = 4.71) and endothelial plaques with indistinct corneal boundaries (p < 0.001; OR = 207). Combining AS-OCT with clinical findings enhanced diagnostic sensitivity to 75% for Gram-positive bacterial keratitis, 66.7% for Gram-negative keratitis, and 100% for fungal keratitis.

CONCLUSIONS

AS-OCT provides key pathogen-specific features in IK, improving diagnostic accuracy, particularly in cases with inconclusive microbiological results. While AS-OCT should not replace microbiological testing, its integration into clinical protocols can refine diagnostic strategies. Future applications of artificial intelligence could further optimize early pathogen identification and treatment outcomes.

摘要

目的

评估感染性角膜炎(IK)的眼前节光学相干断层扫描(AS-OCT)特征,并评估其与临床和微生物学检查结果的相关性。

方法

这项横断面研究纳入了58例角膜脓肿培养阳性、有完整病历且具备高质量AS-OCT图像的患者。进行独立的临床和AS-OCT评估,以确定病原体特异性特征并评估其诊断敏感性。

结果

每种病原体均有独特的AS-OCT表现。革兰氏阳性菌性角膜炎与基质水肿(p = 0.006;OR = 20.6)和后弹力层褶皱(p = 0.01;OR = 4.83)相关,而革兰氏阴性菌性角膜炎表现为弥漫性浸润(p < 0.001;OR = 14.286)和基质变薄(p < 0.001;OR = 98.9)。真菌性角膜炎的特征为基质囊样间隙(p < 0.001;OR = 82.1)、基质变薄(p = 0.042;OR = 4.71)以及角膜边界不清的内皮斑块(p < 0.001;OR = 207)。将AS-OCT与临床检查结果相结合,革兰氏阳性菌性角膜炎的诊断敏感性提高到75%,革兰氏阴性菌性角膜炎为66.7%,真菌性角膜炎为100%。

结论

AS-OCT可提供IK中关键的病原体特异性特征,提高诊断准确性,尤其是在微生物学检查结果不明确的病例中。虽然AS-OCT不应取代微生物学检测,但将其纳入临床方案可优化诊断策略。人工智能的未来应用可能会进一步优化早期病原体识别和治疗效果。

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