Perova, M. D. and Gaivoronskaya, T. V. and Karpyuk, V. B. and Sevostyanov, I. A. and Shipieva, U. A. (2018) THE USE OF PREDICTIVE CYTOLOGICAL FEATURES FOR THE SELECTION OF THE METHODOLOGY OF REGENERATIVE TREATMENT OF PATIENTS WITH PERIODONTITIS. Kuban Scientific Medical Bulletin, 25 (5). pp. 65-70. ISSN 1608-6228
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Abstract
Aim. This study was conducted to assess the outcome of the results obtained in the treatment of patients with longterm current periodontitis with individual characteristics of the cytological picture of the microenvironment of damaged periodontal tissues.
Materials and methods. The main study group included 40 patients with chronical periodontitis of the moderate degree (Mo 56, 7 years). The selection of the regenerative treatment in the main group was carried out in accordance with the preliminary express assessment of the cytological picture of the damaged periodontal tissues. The control group, whose indicators were compared with the main clinical indicators, included 43 patients with randomly selected regenerative treatment.
Results. The cell-potential surgical approach statistically induces the growth of new dentogingival junction in patients with critically small amount of morphologically altered neutrophil granulocytes and small cell forms with intense basophilic coloring (≤20%) in cytological samples in comparison with the control decreasing the amount of residual loss of teeth supporting tissues by 2 times.
Conclusion. The preliminary express assessment of the cytological picture of the microenvironment of periodontal pockets indirectly indicates the potential of the patient with periodontitis to restore the missing structures of the periodontal membrane. The choice of the surgical tactics of regenerative treatment, taking into account the characteristics of cellular behavior in cytological samples of patients with periodontitis, is advisable to use as a prognostic test to improve the final results.
Item Type: | Article |
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Subjects: | Open Archive Press > Medical Science |
Depositing User: | Unnamed user with email support@openarchivepress.com |
Date Deposited: | 06 Mar 2023 07:58 |
Last Modified: | 26 Jul 2024 06:32 |
URI: | http://library.2pressrelease.co.in/id/eprint/631 |