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基于海外国家和地区 (OCT) 的新形的分期系统.

Nan-Ji Lu1, Farhad Hafezi, Carina Koppen

  • 1From the Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium (Lu, Koppen, Ní Dhubhghaill, Rozema); National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China (Lu, Hafezi, Aslanides, Chen, Cui); State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China (Lu, Chen, Cui); Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Lu, Wang); ELZA Institute, Dietikon, Switzerland (Lu, Hafezi, Torres-Netto); Ocular Cell Biology Group, Center for Applied Biotechnology and Molecular Medicine, University of Zurich, Switzerland (Hafezi, Torres-Netto); Faculty of Medicine, University of Geneva, Geneva, Switzerland (Hafezi, Torres-Netto); Department of Ophthalmology, University of Southern California, Los Angeles, California (Hafezi); Department of Ophthalmology, Antwerp University Hospital, Edegem, Belgium (Koppen, Rozema); Division of Ophthalmology, School of Medicine, Universidad Miguel Hernández, Alicante, Spain (Alió del Barrio); Cornea, Cataract and Refractive Surgery Unit, Vissum (Miranza Group), Alicante, Spain (Alió del Barrio); Emmetropia Mediterranean Eye Institute, Heraklion, Crete, Greece (Aslanides); The American University of Beirut Medical Center, Beirut, Lebanon (Awwad); The Department of Ophthalmology, Brussels University Hospital, Brussels, Belgium (Ní Dhubhghaill); The faculty of Health Sciences and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium (Ní Dhubhghaill); Department of Ophthalmology, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts (Pineda).

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概括
此摘要是机器生成的。

开发了一种新的光谱域光学连贯性断层扫描 (SD-OCT) 阶段测定系统,用于角质 (KC). 该系统结合了角膜层和上皮的数据,显示了与改善KC管理的现有方法的强烈一致.

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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.
  • 精确的分期对于有效的管理和治疗至关重要.
  • 现有的分期系统缺乏对角膜层的全面分析.

研究的目的:

  • 开发一种使用光谱域光学连贯性断层扫描 (SD-OCT) 进行角质的新型数值分期系统.
  • 将基于SD-OCT的新系统的有效性与已建立的断层和生物机械分期方法进行比较.
  • 评估SD-OCT参数,以区分正常眼睛和KC眼睛.

主要方法:

  • 一个回顾性病例控制研究,涉及236个正常眼睛和331个KC眼睛.
  • 对SD-OCT,Scheimpflug断层扫描和气泡度学数据的分析.
  • 接收器操作特征 (ROC) 曲线分析以确定SD-OCT参数的灵敏度和特异性.

主要成果:

  • SD-OCT参数,包括侧膜的整体最小厚度 (ST) 和上皮的整体标准偏差 (EP),显示出高的诊断准确性 (AUC > 0.83).
  • 提出了一个新的5级数值分阶段系统STEP,利用ST和EP参数.
  • 该STEP系统与现有的形的分期系统有很强的一致性.

结论:

  • 开发的基于SD-OCT的KC分期系统 (STEP) 是第一个整合了上皮和 stromal 数据.
  • 这种新的系统与当前的分期方法有很大的一致性.
  • STEP 系统有可能被整合到临床实践中,以提高 KC 患者的护理和随访.