KNEE JOINT EXAMINATION IN DOGS USING BIOELECTROPHOTOGRAPHY DURING THERAPY PERIOD

We have performed a study at the veterinary surgery subdepartement of the Moscow federal state budgetary institution of higher and professional education “MGAVMiB after K. I. Skryabin” under general direction of doctor of veterinary science, professor, director of the subdepartement Filippov Yu. I., aimed at corroboration of uniqueness and effectiveness of GDV bioelectrophotography as a method of monitoring and check of individual organs or organ systems during therapeutic interventions. Dogs of giant breeds (Caucasian Shepherd, Dogo Argentino, and Dogue de Bordeaux) with a range of diagnosed acute knee joint pathologies (acute arthritis of knee joint, acute synovitis of knee joint, and sprain of anterior cruciate ligament of knee) were used in the test. The diagnoses were clear and confirmed with standard methods, including laboratory ones. Examination was carried out with gas-discharge visualization (GDV) apparatus equipped with accessory ACU scanner for BAP imaging using GDV Capture software. GDV Scientific Laboratory software was used for parametric evaluation of GDV-grams. Each point was photographed without a filter in automatic mode for a certain time (with 10 sec. interval). To maintain maximum validity, the experiment was held on each animal several times in different days. Initially the image was taken on diagnosis during acute period before treatment (either medicamentous or surgical), then on day 3 and day 7 since therapy onset (3 times in total). A number of interrelated criteria were evaluated in every GDV-gram of a BAP: entropy, area, and form-factor. A conclusion may be drawn based on the complex of the abovementioned parameters: first, numerical ratios were similar in all dogs; second, image area increased with therapy progress, while entropy and form-factor values decreased. It implied inflammatory process dissipated (if an inflammatory process was present in the animal, BAP glowing area decreased too revealing energy deficiency). Some experts believe that area below 21 thousand pixels implied inflammation (initial glowing area in the test animals varied between 21,000 to 23,000 pixels, clearly indicating beginning of degenerative changes). The study clearly showed that gas-discharge visualization provides for highly reliable method of real-time health monitoring. It is also meaningful diagnostic technique applicable for monitoring and treatment prescription.

биоэлектрография, площадь, коэффициент формы, энтропия, газоразрядная визуализация (ГРВ

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