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Comparing retinal thickness measurements using automated fast macular thickness map versus six-radial line scans with manual measurements.

机译:使用自动快速黄斑厚度图与使用手动测量的六six线扫描比较视网膜厚度测量。

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PURPOSE: To compare automated retinal thickness values generated by the fast macular thickness maps (FMTM) and customized 6-radial line scans (RLS) versus manual retinal measurements on Stratus optical coherence tomography (OCT) (Carl Zeiss Meditec, Dublin, CA). DESIGN: Prospective, observational case series. PARTICIPANTS: Patients with subfoveal choroidal neovascularization (CNV) caused by age-related macular degeneration (AMD), diabetic macular edema (DME), or branch/central retinal vein occlusion (RVO). METHODS: Patients were prospectively imaged using the FMTM and customized RLS patterns on Stratus OCT at the same sitting. Each scan was evaluated for errors in retinal segmentation (i.e., correct retinal boundaries [CRB]). Automated values were recorded while central retinal thickness measurements were determined manually for both patterns. The presence or absence of epiretinal phenomenon, cystoid spaces, pigment epithelial detachment, and subretinal fluid was also noted. MAIN OUTCOME MEASURES: Errors in retinal segmentation at and outside the fovea (i.e., CRB) and percentage of automated values within a clinically acceptable margin (+/-25 mum) of the manual central retinal thickness. RESULTS: A total of 147 eyes of 147 patients (95 eyes with exudative AMD, 41 eyes with DME, and 11 eyes with macular edema caused by RVO) were included. For wet AMD, the total number of CRB at the fovea and outside the fovea was 363 (63.7%) and 360 (63.2%), respectively, in FMTM and 428 (75.1%) and 426 (74.7%), respectively, in RLS (P<0.0001 for both). For DME and RVO, the total number of CRB at the fovea and outside the fovea was 274 (87.8%) and 256 (82.1%), respectively, in FMTM and 287 (92.0%) and 270 (86.5%), respectively, in RLS (P = 0.11, P = 0.15, respectively). Some 40% and 56% of automated foveal center point thicknesses on FMTM and RLS, respectively, were within +/-25 mum of the manual central retinal thickness for AMD (P = 0.042), versus 94% and 81% for DME and RVO, respectively (P = 0.07). CONCLUSIONS: For exudative AMD, the RLS protocol provides fewer segmentation errors than the FMTM protocol, and its automated retinal thickness values (e.g., foveal center point, central subfield) correlate better with manual retinal thickness measurement than FMTM. In DME and RVO, however, both protocols provide similar and low segmentation errors, and their automated results are close to manual measurements. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.
机译:目的:比较快速黄斑厚度图(FMTM)和定制的6根放射线扫描(RLS)生成的自动视网膜厚度值与Stratus光学相干断层扫描(OCT)(Carl Zeiss Meditec,都柏林,CA)上的人工视网膜测量结果。设计:前瞻性观察病例系列。参与者:年龄相关性黄斑变性(AMD),糖尿病性黄斑水肿(DME)或视网膜分支/中央静脉阻塞(RVO)引起的小凹下脉络膜新生血管(CNV)患者。方法:在同一坐位的Stratus OCT上使用FMTM和定制的RLS模式对患者进行前瞻性成像。评估每次扫描的视网膜分割错误(即正确的视网膜边界[CRB])。记录自动值,同时手动确定两种模式的中央视网膜厚度测量值。还注意到是否存在视网膜上现象,囊样间隙,色素上皮脱离和视网膜下液。主要观察指标:黄斑中心凹处和外部的视网膜分割错误(即CRB)以及在人工可接受的视网膜中央厚度在临床上可接受的范围内(+/- 25微米)内自动值的百分比。结果:包括147例患者的147眼(95眼渗出性AMD,41眼DME和11眼RVO引起的黄斑水肿)。对于湿性AMD,在FMTM中,在中央凹处和中央凹外侧的CRB总数分别为FMTM中的363(63.7%)和360(63.2%),在RLS中分别为428(75.1%)和426(74.7%) (两者P均<0.0001)。对于DME和RVO,在FMTM中,在中央凹处和中央凹外侧的CRB总数分别为274(87.8%)和256(82.1%),在FMTM中分别为287(92.0%)和270(86.5%)。 RLS(分别为P = 0.11,P = 0.15)。 FMTM和RLS上自动中央凹中心厚度的分别约为40%和56%,在AMD人工中央视网膜厚度的+/- 25微米以内(P = 0.042),而DME和RVO分别为94%和81% ,分别为(P = 0.07)。结论:对于渗出性AMD,RLS协议比FMTM协议提供更少的分割错误,并且其自动视网膜厚度值(例如中央凹中心点,中央子场)与手动视网膜厚度测量的相关性比FMTM更好。但是,在DME和RVO中,这两种协议都提供相似且低的分段错误,并且它们的自动化结果接近于手动测量。财务披露:在参考文献之后可以找到专有或商业披露。

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