The role of a magnet-resonance tomography in diagnosis of a teno-synovial giant-cell tumor (the pigment villo-nodular synoviitis) of a knee joint

Autor: Yu. O. Kostogryz, O.A. Kostogryz
Jazyk: Russian<br />Ukrainian
Rok vydání: 2019
Předmět:
Zdroj: Клінічна хірургія, Vol 86, Iss 11-12, Pp 63-68 (2019)
Druh dokumentu: article
ISSN: 0023-2130
2522-1396
DOI: 10.26779/2522-1396.2019.11-12.63
Popis: Objective. To study and analyze the modern possibilities and role of magnet-resonance tomography in diagnosis of teno-synovial giant-cell tumor (pigmented villo-nodular synoviitis) of a knee joint. To improve diagnosis and monitoring of the disease, using the estimation scale elaborated. Materials and methods. In the investigation 77 patients with pathohistologically verified teno-synovial giant-cell tumor (pigmented villo-nodular synoviitis) of a knee joint were included. The patients were distributed into two groups: the main - 52 patients, who were operated and examined, using diagnostic-treatment algorithm, proposed by the authors, and a control one - 25 patients, who were examined and treated in accordance to standard procedures. Results. Magnet-resonance tomography constitutes a «gold standard» in diagnosis of a pigment villo-nodular synovitis of a knee joint. There was established, that a distance between the graphic plots data, obtained in accordance to Ogilvie-Harris and Ogilvie-Harris-Kostogryz scales, which equals 2 and more, trusts the absence of the disease recurrence. A number «2» was selected not incidentally, because the estimate in 2 points in accordance to the scale equals a criterion «good», and in a 3 points - a criterion «excellent». Conclusion. Application of a function-prognosis scale of Ogilvie-Harris-Kostogryz is directly connected with magnet-resonance tomography. With the help of this scale it is possible to estimate the joint functional state, and, more than using the scale existing, to monitor the disease, as well as to mention about the operation radicalism and the risk of the recurrence occurrence.
Databáze: Directory of Open Access Journals
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