UNASSIGNED: This was a diagnostic accuracy study that retrospectively included patients who underwent preoperative cataract examinations at our hospital between November 2020 and June 2021. All patients underwent SS-OCT based optical biometer and spectral-domain OCT (SD-OCT). The SD-OCT was the golden standard for diagnosing macular diseases. Sensitivity, specificity, and receiver operating characteristic (ROC) were calculated to evaluate the value of foveal SS-OCT scans for the detection of macular disease.
UNASSIGNED: Of the 224 eyes enrolled in the study, 82 eyes were diagnosed with macular disease by SD-OCT. The foveal image was almost indistinguishable due to poor quality when the mean grayscale of the image was less than 40. The posterior subcapsular opacity score and the axial length were significantly correlated with the gray density of the foveal image (r=-0.70, P<0.0001 and r=-0.40, P<0.0001). After excluding cases with indistinguishable foveal images (subcapsular opacities score ≥3.5, axial length ≥28.9 mm), the SS-OCT yielded 68% (95% confidence interval, 0.54-0.79) sensitivity and 87% (95% confidence interval, 0.78-0.92) specificity in 136 eyes.
UNASSIGNED: Routine SS-OCT based biometric measurement for the evaluation of macular pathology simultaneously prior to cataract surgery is suggested except for patients with advanced cataract (posterior subcapsular opacities score ≥3.5) and long axial length (≥28.9 mm).
UNASSIGNED:这是一项诊断准确性研究,回顾性纳入了2020年11月至2021年6月在我们医院接受术前白内障检查的患者。所有患者均接受基于SS-OCT的光学生物测量仪和谱域OCT(SD-OCT)。SD-OCT是诊断黄斑疾病的金标准。灵敏度,特异性,计算受试者工作特征(ROC)以评估中央凹SS-OCT扫描对黄斑病变的检测价值。
未经评估:在参加研究的224只眼睛中,82只眼通过SD-OCT诊断为黄斑疾病。当图像的平均灰度小于40时,由于质量差,中央凹图像几乎无法区分。后囊膜下混浊评分和眼轴长度与中央凹图像的灰度密度显着相关(r=-0.70,P<0.0001和r=-0.40,P<0.0001)。排除中央凹影像难以区分的病例后(囊下混浊评分≥3.5,轴长≥28.9mm),SS-OCT的收益率为68%(95%置信区间,0.54-0.79)灵敏度和87%(95%置信区间,136只眼的0.78-0.92)特异性。
UNASSIGNED:建议在白内障手术前同时进行常规的基于SS-OCT的生物特征测量,以评估黄斑病变,但晚期白内障患者(后囊下混浊评分≥3.5)和长眼轴长度(≥28.9mm)除外。