Lin Shen, Wenli Yang, Dong-jun Li, Zi-yang Wang, Wei Chen, Qi Zhao, Yifeng Li, R. Cui
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引用次数: 0
Abstract
Objective
To observe the application value with color Doppler flow imaging (CDFI) in the detection of macular diseases in senile cataract.
Methods
A cross-sectional descriptive study. From December 1 to December 30, 2017, 720 senile cataract patients (1380 eyes) diagnosed in Beijing Tongren Eye Center were included in this study. There were 330 males (629 eyes) and 390 females (751 eyes), with the mean age of 70.35±19.05 years. There were 716 right eyes and 664 left eyes, with the visual acuity 0.05-0.8. The fundus of all the patients can be observed. All patients were examined by OCT using Cirrus HD-Model 5000 produced by German Carl Zeiss company and CDFI using MyLab90 color Doppler ultrasound system produced by ESAOTE S.P.A. Comparing the detection rate of macular lesions between the two methods by using χ2 test. Using statistical methods to evaluate diagnostic tests, a crosstabulation was made to compare the consistency of frequency-domain OCT and CDFI in the diagnosis of macular lesions. Logistic regression analysis of correlation between detection of CDFI macular lesions and central foveal thickness (CFT), average thickness (AT), with or without macular anterior membrane, retinal folds, retinal cystoid edema, hard exudation, macular hole or lamellar macular hole, superficial detachment of neuroepithelium, detachment of pigment epithelium, vitreous macular traction.
Results
Two hundreds and thirty-nine eyes (17.3%) showed macular disease by OCT, and 161 eyes (11.7%) showed the abnormal echo in the macular region by CDFI. The detection rate of the macular disease between two methods were statistically significant (χ2=851.661, P<0.001), however, the consistency was well (κ=0.766, P=0.000). Logistic analysis showed that the detection rate of macular lesions was related to retinal folds, cysts in retina and CFT (r=1.396, 1.041, 0.12; P<0.01).
Conclusion
CDFI can effectively detect macular lesions that affect the visual prognosis of senile cataract patients.
Key words:
Ultrasonography, doppler, color; Macular degeneration; Cataract
目的观察彩色多普勒血流显像(CDFI)在老年性白内障黄斑病变诊断中的应用价值。方法横断面描述性研究。本研究纳入2017年12月1日至12月30日在北京同仁眼科中心确诊的720例老年性白内障患者(1380眼)。男330例(629眼),女390例(751眼),平均年龄70.35±19.05岁。右眼716只,左眼664只,视力0.05-0.8。所有病人的眼底都可以观察到。所有患者均使用德国卡尔蔡司公司生产的Cirrus HD Model 5000进行OCT检查,并使用ESAOTE S.P.A.生产的MyLab90彩色多普勒超声系统进行CDFI检查。用χ2检验比较两种方法对黄斑病变的检出率。使用统计学方法评估诊断测试,进行交叉表,比较频域OCT和CDFI在黄斑病变诊断中的一致性。CDFI黄斑病变检测与中央凹厚度(CFT)、平均厚度(AT)、有无黄斑前膜、视网膜褶皱、视网膜囊状水肿、硬渗出、黄斑裂孔或板层黄斑裂孔、神经上皮浅表脱离、色素上皮脱离、玻璃体黄斑牵引之间相关性的Logistic回归分析。结果OCT显示黄斑病变239眼(17.3%),CDFI显示黄斑区异常回声161眼(11.7%)。两种方法对黄斑病变的检出率有统计学意义(χ2=851.661,P<0.001),但一致性良好(κ=0.766,P=0.000),结论彩色多普勒超声能有效检测影响老年白内障患者视力预后的黄斑病变。关键词:超声、多普勒、彩色;黄斑变性;白内障
期刊介绍:
Chinese Journal of Ocular Fundus Diseases is the only scientific journal in my country that focuses on reporting fundus diseases. Its purpose is to combine clinical and basic research, and to give equal importance to improvement and popularization. It comprehensively reflects the leading clinical and basic research results of fundus disease disciplines in my country; cultivates professional talents in fundus disease, promotes the development of fundus disease disciplines in my country; and promotes academic exchanges on fundus disease at home and abroad. The coverage includes clinical and basic research results of posterior segment diseases such as retina, uveal tract, vitreous body, visual pathway, and internal eye diseases related to systemic diseases. The readers are medical workers and researchers related to clinical and basic research of fundus diseases. According to the journal retrieval report of the Chinese Institute of Scientific and Technological Information, the comprehensive ranking impact factor and total citation frequency of the Chinese Journal of Ocular Fundus Diseases have been among the best in the disciplines of ophthalmology, otolaryngology, and ophthalmology in my country for many years. The papers published have been included in many important databases at home and abroad, such as Scopus, Peking University Core, and China Science Citation Database (CSCD).