首页> 外文期刊>JAMA ophthalmology >Sensitivity and Specificity of Potential Diagnostic Features Detected Using Fundus Photography, Optical Coherence Tomography, and Fluorescein Angiography for Polypoidal Choroidal Vasculopathy
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Sensitivity and Specificity of Potential Diagnostic Features Detected Using Fundus Photography, Optical Coherence Tomography, and Fluorescein Angiography for Polypoidal Choroidal Vasculopathy

机译:使用眼底拍摄,光学相干断层扫描和粘性脉络膜血管病变检测潜在诊断特征的敏感性和特异性

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ImportanceThe use of indocyanine green angiography (ICGA) is a criterion standard for diagnosing polypoidal choroidal vasculopathy (PCV), an endemic and common cause of vision loss in Asian and African individuals that also presents in white individuals. However, the use of ICGA is expensive, invasive, and not always available at clinical centers. Therefore, knowing the value of certain features detected using fundus photography (FP), optical coherence tomography (OCT), and fluorescein angiography (FA) to diagnose PCV without ICGA could assist ophthalmologists to identify PCV when ICGA is not readily available. ObjectiveTo explore the sensitivity, specificity, and predictive accuracy of potential diagnostic features detected using FP, OCT, and FA in diagnosing PCV without ICGA. Design, Setting, and ParticipantsDeidentified images of FP alone, OCT alone, and FA alone were graded by 3 retina specialists masked to ICGA findings for potentially diagnostic features of PCV prespecified before grading compared with the criterion standard grading of 2 other retina specialists with access simultaneously to FP, OCT, FA and ICGA. Specialists graded images of 124 eyes of 120 patients presenting between January 1, 2013, and December 31, 2016, with newly identified serous or serosanguinous maculopathy who had undergone FP, OCT, FA, and ICGA before treatment at a large referral eye center in Thailand. Main Outcomes and MeasuresSensitivity, specificity, positive predictive value, negative predictive value, and predictive accuracy from the area under the receiver operating characteristic curve (AUC). ResultsThe mean (SD) age of the patients was 57.7 (12.6) years, 52 were women, 68 were men, and the diagnosis (from ICGA) was PCV for 65 eyes (52.4%), central serous chorioretinopathy for 45 eyes (36.3%), and typical neovascular age-related macular degeneration for 12 eyes (9.7%). With the use of FP, a potential diagnostic feature for PCV was notched or hemorrhagic pigment epithelial detachment (AUC, 0.77; 95% CI, 0.70-0.85). With the use of OCT, potential diagnostic features for PCV were pigment epithelial detachment notch (AUC, 0.90; 95% CI, 0.85-0.96), sharply peaked pigment epithelial detachment (AUC, 0.86; 95% CI, 0.80-0.92), and a hyperreflective ring (AUC, 0.86; 95% CI, 0.80-0.92). When at least 2 of these 4 signs were present, the AUC was 0.93 (95% CI, 0.89-0.98), with a sensitivity of 0.95 (95% CI, 0.87-0.99), a specificity of 0.95 (95% CI, 0.82-0.97), a positive predictive value of 0.92 (95% CI, 0.83-0.97), and a negative predictive value of 0.95 (95% CI, 0.86-0.99). Conclusions and RelevanceThese data suggest that the potential diagnostic features detected using FP and OCT provide high sensitivity and specificity for a diagnosis of PCV, especially when at least 2 of 4 highly suggestive signs are present.
机译:进一步使用吲哚菁绿色血管造影(ICGA)是诊断息肉脉络膜血管病变(PCV)的标准标准,亚洲和非洲个人在白人身上的视力丧失的流行和常见原因。然而,使用ICGA是昂贵的,侵入性的,并且在临床中心并不总是可用。因此,知道使用眼底摄影(FP)检测到某些特征的值,光学相干断层扫描(OCT)和荧光素血管造影(FA)在没有ICGA的情况下诊断PCV可以帮助眼科医生识别PCV时ICGA不容易获得。 ObjectiveTo探索使用FP,OCT和FA检测到的潜在诊断功能的灵敏度,特异性和预测准确性,在没有ICGA的情况下诊断PCV。单独的OCT和Fa单独使用FP的设计,设定和参与者的图像,并单独使用3个视线专家屏蔽到ICGA调查结果,用于分级前PCV的潜在诊断功能,而另外两位视网膜专家的标准标准分级与同时访问的标准标准分级相比到FP,OCT,FA和ICGA。专家124只患者的124只患者患者渐变图像,2016年1月1日至2016年12月31日,新鉴定了在泰国大型推荐中央的疗程之前经历了FP,OCT,FA和ICGA的静脉曲张或血清疗法疗法。主要结果和测量值,特异性,阳性预测值,负面预测值以及来自接收机操作特性曲线(AUC)下的区域的预测精度。患者的平均值(SD)年龄为57.7(12.6)岁,52岁,女性,68名是男性,诊断(来自ICGA)是PCV的65只眼(52.4%),中央浆液性胆管肌病45眼(36.3%) ),典型的新生血管年龄相关性黄斑变性12只眼(9.7%)。随着FP的使用,PCV的潜在诊断特征是缺口或出血性上皮脱离(AUC,0.77; 95%CI,0.70-0.85)。随着OCT的使用,PCV的潜在诊断特征是颜料上皮脱离凹口(AUC,0.90; 95%CI,0.85-0.96),急剧达到顶峰的颜料上皮脱离(AUC,0.86; 95%CI,0.80-0.92),和超脱模环(AUC,0.86; 95%CI,0.80-0.92)。当存在至少2个迹象中时,AUC为0.93(95%CI,0.89-0.98),灵敏度为0.95(95%CI,0.87-0.99),特异性为0.95(95%CI,0.82 -0.97),阳性预测值为0.92(95%CI,0.83-0.97),负预测值为0.95(95%CI,0.86-0.99)。结论和相关性数据表明,使用FP和OCT检测的潜在诊断特征为PCV的诊断提供了高敏感性和特异性,特别是当存在至少2个高度暗示迹象时。

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