[Zhonghua yan ke za zhi] Chinese journal of ophthalmology · 2010
[Features of vitreomacular traction syndrome assessed with three-dimensional spectral-domain optical coherence tomography].
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Zhang Zhi-qiao, Dong Fang-tian, Yu Wei-hong, Dai Rong-ping, Zhao Chan, Yang Zhi-kun, Han Bao-ling, Du Hong
Аннотация
OBJECTIVE: To describe features of vitreomacular traction syndrome (VMT) on three-dimensional (3D) spectral-domain optical coherence tomography (SD OCT).
METHODS: Eighteen eyes of 18 patients with VMT were diagnosed by SD OCT. SD OCT images were obtained and retrospectively analyzed. These VMT cases were defined as focal type or broad type by the region of the vitreous attachment to the macula. The relationship between the logMAR best corrected visual acuity (BCVA) and the retinal thickness of macular fovea was evaluated by linear regression analysis.
RESULTS: SD OCT provided detailed 3D images of VMT and revealed information about the extent of vitreomacular traction. Focal VMT was seen in 14 eyes. Broad VMT was seen in four eyes. Eight cases had concurrent epiretinal membrane in the areas surrounding the fovea. Two cases had concurrent full thickness macular hole and two cases had concurrent lamellar macular hole. LogMAR BCVA correlated with the retinal thickness of macular fovea (r = 0.616, P = 0.007, linear regression analysis).
CONCLUSIONS: SD OCT allows good visualization of the architectural morphology of the vitreous and retina in vitreomacular traction syndrome. It is useful and irreplaceable for the diagnosis and follow-up of VMT.
METHODS: Eighteen eyes of 18 patients with VMT were diagnosed by SD OCT. SD OCT images were obtained and retrospectively analyzed. These VMT cases were defined as focal type or broad type by the region of the vitreous attachment to the macula. The relationship between the logMAR best corrected visual acuity (BCVA) and the retinal thickness of macular fovea was evaluated by linear regression analysis.
RESULTS: SD OCT provided detailed 3D images of VMT and revealed information about the extent of vitreomacular traction. Focal VMT was seen in 14 eyes. Broad VMT was seen in four eyes. Eight cases had concurrent epiretinal membrane in the areas surrounding the fovea. Two cases had concurrent full thickness macular hole and two cases had concurrent lamellar macular hole. LogMAR BCVA correlated with the retinal thickness of macular fovea (r = 0.616, P = 0.007, linear regression analysis).
CONCLUSIONS: SD OCT allows good visualization of the architectural morphology of the vitreous and retina in vitreomacular traction syndrome. It is useful and irreplaceable for the diagnosis and follow-up of VMT.