Ultrasonic diagnosis of soft tissue sarcomas using functional vascular test
https://doi.org/10.24835/1607-0763-2019-3-126-132
Abstract
The purpose of the research is to find additional diagnostic tools that allow you to specify the nature of soft tissue lesions, differentiate between benign and malignant processes this localization.
Materials and methods. Using multiparametric echography surveyed 514 patients with malignant (243 or 55.7%) and benign (193 or 44.3%) tumor, as well as non-tumor (78 or 15.2%) diseases. In all cases, used while rendering, color Doppler mapping, power Doppler blood flow spectral characteristics of the studied zone changes. In 87 (16.9%) observations applied functional vascular test.
The results. Calculation of indicators diagnostic informative at diagnostics of sarcomas in relation to complex high without the use of vascular test and when you post data showed an increase in using it specificity and diagnostic accuracy stability in the total sensitivity of the entire complex. Sensitivity respectively amounted to 92.7% and 92.7%, specificity – 87.1% and 98.9%, accuracy-84.8% and 91.1% (inclusion in consideration of inflammatory processes led to the authenticity of the results obtained).
Conclusion. Vascular test improves diagnostic high informativeness of the complex, but it can be usefully applied to exclude non-tumorous changes and accounting possible differences in differentiation of different constituent parts neoplasm.
About the Authors
A. N. Zaitsev
N.N. Petrov National Medical Research Oncology Center
Russian Federation
Russian Federation
cand. of med. sci, senior researcher
197758, St. Petersburg, Pesochny-2, Leningradskaya str., 68
Phone: +7-911-231-25-20
I. I. Semenov
N.N. Petrov National Medical Research Oncology Center
Russian Federation
Russian Federation
doct. of med. sci., senior researcher
197758, St. Petersburg, Pesochny-2, Leningradskaya str., 68
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Review
For citations:
Zaitsev A.N., Semenov I.I. Ultrasonic diagnosis of soft tissue sarcomas using functional vascular test. Medical Visualization. 2019;(3):126-132. (In Russ.) https://doi.org/10.24835/1607-0763-2019-3-126-132
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