Pardon Laura P, Cheng Han, Tang Rosa A, Saenz Roberto, Frishman Laura J, Patel Nimesh B
College of Optometry, University of Houston, Houston, Texas.
Optom Vis Sci. 2019 Aug;96(8):599-608. doi: 10.1097/OPX.0000000000001408.
Causes of papilledema can be life-threatening; however, distinguishing papilledema from pseudopapilledema is often challenging. The conventional optical coherence tomography (OCT) scan for assessing the optic nerve often fails to detect mild papilledema. Our study suggests that parameters derived from volumetric OCT scans can provide additional useful information for detecting papilledema.
Optical coherence tomography analysis of the optic nerve commonly measures retinal nerve fiber layer thickness (RNFLT) along a 1.73-mm-radius scan path. This conventional scan, however, often fails to detect mild papilledema. The purpose of this study was to evaluate additional OCT-derived measures of the optic nerve head (ONH) and peripapillary retina for differentiating papilledema (all grades and mild) from pseudopapilledema.
Cirrus OCT ONH volume scans were acquired from 21 papilledema (15 mild papilledema), 27 pseudopapilledema, and 42 control subjects. Raw scan data were exported, and total retinal thickness within Bruch's membrane opening (BMO) plus RNFLT and total retinal thickness at the following eccentricities were calculated using custom algorithms: BMO to 250, 250 to 500, 500 to 1000, and 1000 to 1500 μm. Minimum rim width was calculated, and BMO height was measured from a 4-mm Bruch's membrane reference plane centered on the BMO.
Retinal nerve fiber layer thickness from BMO to 250 μm, minimum rim width, and BMO height had significantly greater areas under the receiver operating characteristic curve than did conventional RNFLT for differentiating mild papilledema from pseudopapilledema (P < .0001) and greater sensitivities at 95% specificity. Using cutoff values at 95% specificity, custom parameters detected 10 mild papilledema patients, and conventional RNFLT detected only 1. Bruch's membrane opening heights above the reference plane were observed in papilledema only, although many papilledema cases had a neutral or negative BMO height.
Using OCT volumetric data, additional parameters describing peripapillary tissue thickness, neuroretinal rim thickness, and ONH position can be calculated and provide valuable measures for differentiating mild papilledema from pseudopapilledema.
视乳头水肿的病因可能危及生命;然而,区分视乳头水肿和假性视乳头水肿往往具有挑战性。用于评估视神经的传统光学相干断层扫描(OCT)通常无法检测到轻度视乳头水肿。我们的研究表明,从容积性OCT扫描得出的参数可为检测视乳头水肿提供额外的有用信息。
对视神经进行光学相干断层扫描分析通常沿着半径为1.73毫米的扫描路径测量视网膜神经纤维层厚度(RNFLT)。然而,这种传统扫描常常无法检测到轻度视乳头水肿。本研究的目的是评估从OCT得出的视神经乳头(ONH)和视乳头周围视网膜的其他测量指标,以区分视乳头水肿(所有级别和轻度)与假性视乳头水肿。
从21例视乳头水肿患者(15例轻度视乳头水肿)、27例假性视乳头水肿患者和42例对照受试者获取Cirrus OCT ONH容积扫描。导出原始扫描数据,并使用定制算法计算布鲁赫膜开口(BMO)内的总视网膜厚度加上RNFLT以及在以下偏心度处的总视网膜厚度:BMO至250、250至500、500至1000和1000至1500μm。计算最小边缘宽度,并从以BMO为中心的4毫米布鲁赫膜参考平面测量BMO高度。
从BMO至250μm的视网膜神经纤维层厚度、最小边缘宽度和BMO高度在区分轻度视乳头水肿与假性视乳头水肿的受试者操作特征曲线下的面积显著大于传统的RNFLT(P <.0001),并且在95%特异性时具有更高的敏感性。使用95%特异性的临界值,定制参数检测到10例轻度视乳头水肿患者,而传统RNFLT仅检测到1例。仅在视乳头水肿中观察到高于参考平面的布鲁赫膜开口高度,尽管许多视乳头水肿病例的BMO高度为中性或阴性。
使用OCT容积数据,可以计算出描述视乳头周围组织厚度、神经视网膜边缘厚度和ONH位置的其他参数,这些参数为区分轻度视乳头水肿与假性视乳头水肿提供了有价值的测量指标。