Relationship between Changes in RNFL thickness of optic discs and visual field defects
10.13618/j.issn.1001-5728.2017.03.011
- VernacularTitle:视盘RNFL厚度改变与视野缺损的关系
- Author:
Weihualin LU
;
Xu WANG
;
Jian XIANG
;
Lili YU
- Keywords:
forensic clinical medicine;
RNFL;
visual field;
correlation analysis
- From:
Chinese Journal of Forensic Medicine
2017;32(3):272-276
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss the relationship between thickness of RNFL and visual field, and its application in forensic identification. Methods Using the GDxVCC and Octopus automatic perimeter to check on 52 optic nerve lesion cases. The data is grouped according to valid value of visual field (Group1- severe injury group, Group2-minor injury group, Group3- slight and following slight injury group) , calculated for the averaged RNFL thickness, and analyzed by ANOVA. Meanwhile, the correlation between RNFL thickness and visual field indices(effective value of visual field, MD, MS, sLV) was analyzed with Pearson's correlation and described in scattered plot. Results Group 1 to 3 average RNFL thickness was 60.9036±9.53514μm, 53.6474±15.45306μm, 36.3±8.45695μm accordingly. Through ANOVA we can see that differences wer significant between every group. The valid value of visual field and MS were positively with the average RNFL thickness with a correlation of 0.543, 0.400, respectively(P<0.05). The MD and sLV were negatively correlated with the average RNFL thickness with correlation -0.450、-0.440, respectively(P<0.05). Linear relationship between the average RNFL thickness and effective value of visual field, MD, MS, sLV were Y=0.967X+19.508, Y=0.095X-10.858, Y=0.175X+9.187, Y=-0.205X+20.215accordingly. Nonlinear relationship between the average RNFL thickness and effective value of visual field, MD, MS, sLV were Y=-0.037X2+5.208X-93.795, Y=0.010X2-1.325X+50.111, Y=-0.008X2+1.103X-15.606, Y=0.004X2 -0.520X+22.232. Conclusion RNFL thickness measurement is expected to be an objective assessment in visual field, a new morphological methods.
