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Using asymmetry analysis to reduce n...

Alluwimi, Muhammed Saad.

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Using asymmetry analysis to reduce normal variability of Spectral Domain Optical Coherence Tomography (SD-OCT) macular thickness.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Using asymmetry analysis to reduce normal variability of Spectral Domain Optical Coherence Tomography (SD-OCT) macular thickness./
作者:	Alluwimi, Muhammed Saad.
面頁冊數:	24 p.
附註:	Source: Masters Abstracts International, Volume: 51-06.
Contained By:	Masters Abstracts International51-06(E).
標題:	Health Sciences, Radiology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538227
ISBN:	9781303110597

Using asymmetry analysis to reduce normal variability of Spectral Domain Optical Coherence Tomography (SD-OCT) macular thickness.
Alluwimi, Muhammed Saad.

Using asymmetry analysis to reduce normal variability of Spectral Domain Optical Coherence Tomography (SD-OCT) macular thickness. - 24 p.

Source: Masters Abstracts International, Volume: 51-06.

Thesis (M.S.)--Indiana University, 2013.

Purpose: To investigate the use of asymmetry analysis to reduce normal between-subject variability of macular thickness measurements using SD-OCT.

ISBN: 9781303110597Subjects--Topical Terms:

1019076
Health Sciences, Radiology.

Using asymmetry analysis to reduce normal variability of Spectral Domain Optical Coherence Tomography (SD-OCT) macular thickness.
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020 $a 9781303110597
035 $a (MiAaPQ)AAI1538227
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100 1 $a Alluwimi, Muhammed Saad. $3 2102944
245 1 0 $a Using asymmetry analysis to reduce normal variability of Spectral Domain Optical Coherence Tomography (SD-OCT) macular thickness.
300 $a 24 p.
500 $a Source: Masters Abstracts International, Volume: 51-06.
502 $a Thesis (M.S.)--Indiana University, 2013.
520 $a Purpose: To investigate the use of asymmetry analysis to reduce normal between-subject variability of macular thickness measurements using SD-OCT.
520 $a Methods: 63 volunteers free of eye disease were recruited: 33 young subjects (ages 21 to 35 years with mean and SD of 25 +/- 1.7), and 30 older subjects (ages 45 to 85 years with mean and SD of 66.7 +/- 9.0). All participants passed a comprehensive ophthalmic examination within the past two years. Macular images were gathered with the Spectralis OCT (V 5.4, Heidelberg Engineering, GmbH). The overlay 8x8 grid was manually centered on the fovea and aligned with the foveal-disc axis, then divided into five zones per hemifield following the method of Um et al (2012 IOVS 53:1139); asymmetry was computed as the difference between superior and inferior zone thicknesses. We assumed that the lowest variation and the highest density of ganglion cells will be found ~3° to 6° from the foveal center, corresponding to zones 1 and 2. For each zone and age group, between-subject standard deviations (SDs) were compared for retinal thickness (RT) versus asymmetry using an F-test. To account for repeated measures, a probability of p < 0.0125 was required for statistical significance. Axial length (AL) and corneal curvature (CC) were measured with an IOLMaster by the same operator and during the same imaging session.
520 $a Results: For OD, asymmetry analysis reduced between-subject variability in zones 1 and 2 in both groups (F > 3.2, p < 0.001). SD for zone 1 dropped from 12.0 to 3.0 mum in the young group and from 11.7 to 2.6 mum in the older group. SD for zone 2 dropped from 13.6 to 5.3 mum (young) and from 11.1 to 5.8 mum (older). Combining all subjects, neither RT nor asymmetry showed a strong correlation with AL or CC (R2 < 0.01). Analysis for OS yielded the same pattern of results, as did asymmetry analyses between eyes (F > 3.8, p < 0.0001).
520 $a Conclusions: Asymmetry analysis reduced between-subject variability. These findings demonstrate the potential usefulness of the RT asymmetry analysis for improving ability to detect glaucomatous damage to the macula.
590 $a School code: 0093.
650 4 $a Health Sciences, Radiology. $3 1019076
650 4 $a Health Sciences, Ophthalmology. $3 1019445
650 4 $a Physics, Optics. $3 1018756
690 $a 0574
690 $a 0381
690 $a 0752
710 2 $a Indiana University. $b Vision Science. $3 2102945
773 0 $t Masters Abstracts International $g 51-06(E).
790 $a 0093
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538227