Process of statistic validation of corneal endothelium cells analysed samples

Abstract

Process of statistic validation of corneal endothelial cells analysed samples, refers to a process complementary to the conventional process known as cornea specular microscopy, by incorporating information obtained by currently available apparatuses, inferring their statistical, and eventually medical, validity, in order to obtain more accurate diagnosis, and better clinical and / or surgical conducts, in so increasing the quality of this procedure to a new level of medical reliability, with the advantages of avoiding that inadequate exams could be considered as valid ones, contribute to diagnosis accuracy, check validity or infirmity of exams already accomplished, guide the eyes bank in the selection and classification of reliability of donated cornea, make use of equipment currently available in the world to improve their own results, identify exams made with not significant sampling, and demonstrate, in a graphic and in numeric form (statistical-analytical rulers).

Description

technical field [0001] This patent application relates to a method complementary to the known traditional method of corneal endothelioscopy, which, depending on the patient's age, determines the number and morphology of cells in the tissue lining the cornea (endothelium), the anatomical structure that maintains the cornea's activity for analysis. The method is to combine the information obtained by existing equipment, and then reason the statistical validity and the final medical validity, with the purpose of: obtaining more accurate diagnosis results and better clinical and / or surgical operation, thereby improving this procedure Quality, to achieve a new level of medical reliability by avoiding the possibility of mistaking an inadequate test for a valid test; helping to improve diagnostic accuracy; verifying the validity or deficiencies of previous tests; guiding existing eye banks Selection and classification of the reliability of donated corneas; use of equipment available...

AI Technical Summary

Problems solved by technology

The consequence of this deficiency is that, without the support of statistical or scientific evidence, such examinations will be considered effective in explaining a certain medical operation, which may lead to medical behaviors being based on errors

[0008] 2. The consequence of this lack of sampling calculation is that a large number of inspections are subject to sampling error

[0010] 4. Existing technology cannot detect which inspections were correctly sampled in previous inspections

[0011] 5. Existing technology cannot detect which inspections were incorrectly sampled in previous inspections

[0012] 6. The evaluation data needs to be compared with the average population data of the same age group, which has not been done so far

[0013] 7. Reference values ​​to detect changes, decreases in values, or even values ​​indicating the danger of eye health or eye disease treatment procedures are not available in existing devices

[0061] There are some devices that can calculate several of all the above parameters, others are more comprehensive and can evaluate all parameters, however, none of these devices can compare the average value satisfied by the normal population with the value obtained by the patient in the examination

In addition, they do not determine the number of cells to evaluate for statistical and subsequent clinical validity of the analyzed samples

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