By GR Reddy
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Extra resources for A Visual Evaluation with Automate Devices
If it is generalized it tells whether it is uniform generalized field defect or irregular generalized field defect. Now it is upto us to decide if the field defect is corresponding to our clinical condition or not. Usually in pure cases of glaucoma, we see only a localized field defect. If glaucoma is associated with cataract, there will be an irregular generalized field defect. When we suspect glaucoma in cases of cataract, the suspicion of glaucoma can be eliminated if the fields show only a generalized field defect in total deviation probability plot without any localized field defect in pattern deviation probability plot (as an irregular generalized field defect is mandatory in such cases).
Because the test points straddle the horizontal and vertical axes, the innermost points are only one degree from the fixation spot. So, only one degree of bare area is left surrounding the fixation spot. From this we understand, most of the central space surrounding the fixation spot is tested in 10-2 field. Hence it became the test of choice in all advanced cases of glaucoma to know about the macular status. Only 1° bare area is not tested surrounding the fixation spot in 10-2 central field. 19 FUNDAMENTALS OF AUTOMATED PERIMETRY 23 THRESHOLD TESTING STRATEGIES The test “strategy” refers to the method of presenting stimuli to the patient to attain the desired information.
Otherwise the patient’s raw data will be compared to mean normal threshold values of a wrong age group and thus derived decibel deviations from normal will form total deviation numerical plot. Thus, we will get inaccurate total deviation numerical plot. So, all the deviations values of total deviation numerical plot will be inaccurate and the essence of the test is inaccurate. For example, if the age of the 70 years old patient was entered as 30 years old and the raw data of the 70 years old patient will be compared to 30 years old age group’s mean normal values and thus we get the wrong test analysis.
A Visual Evaluation with Automate Devices by GR Reddy