کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2106047 1401424 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Clinical applications of spectral domain optical coherence tomography in retinal diseases
ترجمه فارسی عنوان
کاربرد بالینی توموگرافی انسجام نوری دامنه طیفی در بیماری های شبکیه
کلمات کلیدی
ماکولا، اختلالات شبکیه، توموگرافی انسجام نوری، توموگرافی منسجم نوری طیفی دامنه
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
چکیده انگلیسی

Optical coherence tomography (OCT) was introduced about two decades ago and has revolutionized ophthalmic practice in recent years. It is a noninvasive noncontact imaging modality that provides a high-resolution cross-sectional image of the cornea, retina, choroid and optic nerve head, analogous to that of the histological section. Advances in OCT technology in signal detection technique from time-domain (TD) to spectral-domain (SD) detection have given us the potential to study various retinal layers more precisely and in less time. SD-OCT better delineates structural changes and fine lesions in the individual retinal layers. Thus, we have gained substantial information about the pathologic and structural changes in ocular conditions with primary or secondary retinal involvement. This review we discuss the clinical application of currently available SD-OCT in various retinal pathologies. Furthermore, highlights the benefits of SD-OCT over TD. With the introduction of enhanced depth imaging and swept – source OCT visualization of the choroid and choriocapillaris has become possible. Therefore, OCT has become an indispensable ancillary test in the diagnosis and management of diseases involving the retina and/or the choroid. As OCT technology continues to develop further it will provide new insights into the retinal and choroidal structure and the pathogenesis of posterior segment of the eye.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomedical Journal - Volume 39, Issue 2, April 2016, Pages 107–120
نویسندگان
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