Five patients with a molecular diagnosis of ARSACS
12,13 and five age- and sex-matched healthy subjects were analyzed. The study was conducted in accordance with the Ethics Committee of Hospital Universitario Miguel Servet and with the principles of the Declaration of Helsinki. There were no significant differences in refractive error and axial length between ARSACS and healthy subjects. Each of the ARSACS patients showed lower limb spasticity, abnormal tendon reflexes, extensor plantar responses, ataxic gait, nystagmus, pes cavus, and hammertoes.
All subjects underwent a full neuro-ophthalmologic examination that included visual acuity examination, Goldmann applanation tonometry, standard automatic perimetry, stereophotographs of the optic disc, red-free digital fundus photographs, topographic analysis of the optic disc using Heidelberg Retina Tomograph (HRT) 3, and the new segmentation application of the Spectralis OCT device (Heidelberg Engineering, Heidelberg, Germany). All procedures were evaluated by an experienced neuro-ophthalmologist (EG-M). Standard automatic perimetries were performed using a Humphrey field analyzer (model 750i; Carl Zeiss Meditec, Inc., Dublin, CA) with the SITA Standard 24-2 program, and near addition was added to the subject's refractive correction. Simultaneous stereophotographs of the optic discs were obtained after mydriasis (0.5% tropicamide; Alcon Laboratories, Inc., Fort Worth, TX) using a Canon CF-60UV fundus camera (Canon, Inc., Tokyo, Japan). A series of five red-free digital fundus photographs (Canon CF-60UVi, with a Canon EOS D60 digital camera and a filter with maximum transmission at 490 nm of each eye was acquired for RNFL evaluation. Topographic analysis of the optic disc was performed using an HRT 3 instrument that provides topographic measurements of the optic nerve head, derived from 16 to 64 optical sections to a depth of 4 mm depending on the longitudinal field of view.
11 The new technique for retinal segmentation by the Spectralis OCT device (Heidelberg Engineering) was used to identify each retinal layer and quantify its thickness. Images were acquired using the image alignment eye tracking software (TruTrack; Heidelberg Engineering) to obtain perifoveal volumetric retinal scans comprising 25 single horizontal axial scans (scanning area: 666 square mm, centered at the fovea). Poor-quality scans (0.20 decibels [dB]) were excluded from the analysis. Segmentation of the retinal layers in single horizontal foveal scans was performed automatically by the new segmentation application (segmentation technology, Heidelberg Engineering) to divide the retina into 10 layers: 1, inner glial limiting membrane; 2, nerve fiber layer; 3, ganglion cell layer; 4, inner plexiform layer; 5, inner nuclear layer; 6, outer plexiform layer; 7, outer nuclear layer; 8, outer glial limiting membrane; 9, photoreceptors (rods and cones); and 10, retinal pigment epithelium (
Fig. 1). The 768 measurements of the peripapillary thickness of the 10 layers were registered in a database for the 10 eyes of ARSACS patients and for those of the controls. These measurements were distributed in eight uniformly divided sectors for each of the 10 retinal layers evaluated.
Within this study, the five patients with ARSACS underwent a complete neurologic evaluation and an imaging study comprising cranial computed tomography, magnetic resonance imaging, and diffusion tensor tractographies.
Serial sections (6 μm thick) of a normal retina were cut and stained with hematoxylin and eosin according to routine protocols and compared with images provided by the Spectralis OCT.
Statistical analysis was performed using IBM SPSS software (version 20.0; SPSS, Inc., Chicago, IL). The dependent variable was ARSACS diagnosis (yes or no), and the predictive variables were the 768 thickness measurements of each retinal layer, mean RNFL thickness of each retina, and eight sector thicknesses of each retinal layer, measured with the new segmentation technique of the Spectralis OCT. Retinal thickness was compared between ARSCACS patients and healthy controls using the Mann Whitney U test, considering a P value of ≤0.05 to indicate statistical significance.