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结合使用上皮质厚度和断层扫描参数来检测形

Abdelrahman Salman^1,2, Mayank Nanavaty³, Rana Omran⁴

¹Department of Ophthalmology, Latakia University, Latakia, Syria.

Journal of ophthalmology

|March 26, 2025

概括

施普弗格-普拉西多断层扫描 (SPT) 指数有效地区分疑似角膜 (SKC) 和正常眼睛,优于前段光学连贯性断层扫描 (AS-OCT) 的指标. 仅结合的SPT数据就为SKC检测提供了更高的诊断准确性.

科学领域:

眼科医生眼科眼科
医疗成像医学成像
角膜疾病角膜疾病

背景情况:

角膜 (KC) 是角膜逐渐变薄的一种疾病.
早期检测可疑的角质 (SKC) 对于及时干预至关重要.
前段光连贯断层扫描 (AS-OCT) 和 Scheimpflug-Placido断层扫描 (SPT) 是先进的诊断工具.

研究的目的:

为了比较AS-OCT和SPT指数的诊断性能,以区分SKC与正常 (N) 眼睛.
评估AS-OCT和SPT数据的组合,以改善SKC检测.
确定最佳的成像方式来区分SKC.

主要方法:

一项涉及AS-OCT和SPT扫描正常,SKC和KC组眼睛的横截面研究.
开发五种回归分析模型,包括角膜厚度 (CT),上皮质厚度 (ET) 和SPT指数 (SIf,SIb,KVb,ThkMin).
接收机操作员特征 (ROC) 曲线分析,以比较曲线下的面积 (AUC) 以获得诊断准确度.

主要成果:

SPT指数 (模型4) 达到0.99的AUC,正确分类了95.58%的SKC病例.
综合的AS-OCT指数 (模型3) 显示AUC为0.96,识别了90.28%的SKC病例.
结合AS-OCT和SPT数据 (模型5) 并没有显著提高诊断准确性,而不是仅使用SPT模型.

结论:

无论是AS-OCT和SPT指数都显示出优异的诊断能力,可以将SKC与正常眼睛区分开来.
与AS-OCT组合模型相比,SPT组合模型具有更高的诊断价值.
集成的AS-OCT和SPT数据不提供额外的诊断好处,除了单独用于SKC检测的SPT数据.

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