Diagnostics of Ovarian Tumors in Postmenopausal Patients

Autor: Chingis Mustafin, Sergey Vesnin, Arran Turnbull, Michael Dixon, Alexey Goltsov, Igor Goryanin
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Diagnostics, Vol 12, Iss 11, p 2619 (2022)
Druh dokumentu: article
ISSN: 2075-4418
DOI: 10.3390/diagnostics12112619
Popis: Early diagnosis of ovarian cancer remains an urgent issue owing to the continuing trend towards increasing incidence along with only marginal improvements in mortality and 5-year survival rates. Furthermore, there is a lack of a clear formulation of the concept of pathogenesis. The diagnostic values of tumor markers, their potential advantages and disadvantages, and their combination with radiation imaging methods and transvaginal sonography are discussed. More advanced imaging techniques, such as computed tomography and magnetic resonance imaging have proven too expensive for widespread use. According to the World Health Organization, more than half of the world’s population does not have access to diagnostic imaging. Consequently, there is high demand for a low-cost, reliable, and safe imaging system for detecting and monitoring cancer. Currently, there is no clear algorithm available for examining and accurately diagnosing patients with postmenopausal ovarian tumors; moreover, reliable criteria allowing dynamic observation and for determining surgical access and optimal surgical intervention measures in postmenopausal patients are lacking. Medical microwave radiometry shows promising results yielding an accuracy of 90%.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje