Purpose To compare the results obtained between Humphrey Perimeter (Carl Zeiss Meditec, EEUU) and Heidelberg Edge Perimeter (HEP, Heidelberg Engineering, Alemania) tested in a group of glaucomatous patients. Methods A total of 23 eyes of 23 glaucomatous patients were prospectively and consecutively selected. All of them had basal IOP values higher than 20 mmHg and glaucomatous optic nerve head. They were examined with Standard Automated Perimetry (SAP) using 24‐2 SITA standard and HEP perimetry using 24‐2 ASTA standard algorithm. They performed at least one reliable perimetry with each device. Spearman‘s correlation coefficients were calculated between global indices of both devices: mean deviation (MD), pattern standard deviation (PSD) and visual field index (VFI). Results Mean age was of 65.07±8.67 years. Subjects had mean IOP values of 24.43±1.90 mmHg. The mean MD values were ‐6.73±6.23 and ‐2.89±3.26 measured with Humphrey and HEP perimeters respectively. And the mean PSD values were 6.07±3.62 and 3.80±2.45 measured with Humphrey and HEP perimeters respectively. The strongest correlations were observed between MDs (0.683; p=0.001) and between PSDs (0.619; p=0.003). Conclusion Humphrey and HEP perimeter correlated well in some global values. Further studies are required to evaluate the clinical usefulness of HEP perimeter in glaucoma patients.

Purpose To evaluate the diagnostic performance of the contour‐line independent glaucoma probability score (GPS) classification obtained with the Heidelberg retina tomograph (HRT) 3 to differentiate between healthy and suspected glaucoma subjects (SG). Methods 62 normal eyes and 48 SG (normal standard automated perimetry, intraocular pressure higher than 21 mmHg, and retinal nerve fiber layer defects measured with Stratus optical coherence tomography or scanning laser polarimetry GDx VCC) were included. The receiver operating characteristic (ROC) curves were plotted for the GPS numerical values and compared with HRT3 stereometric parameters. Results GPS nasal and the FSM discriminant function had the best ability to differentiate between healthy and suspected glaucoma eyes. The areas under the ROC curve were 0.830 and 0.818, respectively. Sensitivity was 47.9% for GPS nasal at a fixed specificity of 90%. Conclusion GPS had a good diagnostic ability to discriminate between normal and SG. There are structural changes at early stages of the disease that can be quantified by means of GPS.

Purpose: To compare four different glaucoma development models in albine rabbits, based on achieving a chronic elevation of intraocular pressure (IOP). Methods: A total of 16 animals were used for the glaucoma development model. Rabbits were divided in four groups: Cautery of three vortex veins was performed in the first group (four animals) and cautery of four vortex veins in the second group (four animals). Three vortex veins were ligated in the third group (four animals) and ligation of four vortex veins was performed in the last group (four animals). IOP was measured by Tonovet rebound tonometer during six weeks follow up. The opposite unoperated eye served as control. Results: Cauterization of four vortex veins (second group) and ligation of four vortex veins (fourth group) achieved IOP elevation (40mmHg) but only for the first twenty four hours. The others groups IOP did not reach statistical differences between treated and control eye. None of the methods developed chronic elevation of IOP. Conclusions: Vortex vein surgery in albine rabbits was not able to achieve chronic elevation of IOP. Therefore, none of this methods showed capacity to develop a glaucoma experimental model.

Purpose To evaluate the evolution of the visual field defects and the alterations of the retinal nerve fiber layer (RNFL), which are produced in intracranial neoplasms that affect the visual pathway. Methods Description of a clinical case. 44 years old male with a prolactin‐producing pituitary macroadenoma. The patient presented progressive defects in the visual field (bitemporal hemianopsia), observed by standard automated perimetry (SAP) (Humphrey, SITA Standard 30.2), and RNFL atrophy evaluated by means of monochromatic fiber photography, optical coherence tomography (OCT) and laser polarimetry (GDx VCC). Results An uncompleted removal of the tumor was performed by transsphenoidal approach. It was observed a mild and progressive recuperation of the visual field defects. The RNFL alterations did not show any change. Conclusion The visual field defects caused by intracranial space‐occupying tumors, may improved after resection of the tumor. Structural alterations in the RNFL remain stable.

Purpose: To evaluate the accuracy of ocular imaging technologies, such as Optical coherence tomography (OCT) and Scanning laser ophthalmoscopy (GDx) in the diagnosis and follow‐up of optic neuritis. Methods: A total of 13 patients with optic neuritis and 13 age‐ and sex‐matched healthy controls were included in this prospective, clinical study and followed up for six months. All of them underwent neurologic assessment and a complete ophthalmic examination that included visual acuity, colour vision (Ishihara pseudoisochromatic plates), visual field, OCT and GDx. Results: In acute episode, there were significant differences in visual acuity, Ishihara colour test, visual field mean deviation (MD), either in anterior or posterior optic neuritis, compared with healthy eyes. Eyes with acute papillitis showed increased RNFL thickness measured by OCT in every retinal quadrant compared with healthy eyes, but differences were not statistically significant. Six months after the acute episode, visual acuity, colour test and visual field had improved but we observed RNFL thinning in eyes with optic neuritis compared with control eyes. Both the OCT and the GDx detected significant differences between the groups six months after the acute episode Conclusions: Structural analysis of the RNFL by means of OCT and GDx is useful in optic neuritis diagnosis and follow‐up. Optic neuritis, either anterior or posterior, causes a decrease in the RNFL thickness, which can be detected by OCT and GDx