Single article

Efimova O., Safonova M., Ionov A.

Searching the optimal algorithm for radiodiagnosis of early ovarian cancer

Keywords: ovaries, cancer, radiologic diagnosis, multiparametric ultrasonography, magnetic resonance imaging, computer tomography, radionuclide diagnostics

Based on literature data the informative value and effectiveness of modern methods for malignant neoplasms complex diagnostics were analyzed with a view to identifying the most optimal algorithm for early ovarian cancer diagnosis. According to Rosstat (Federal State Statistics Service) (2015) mortality rate due to neoplasms by the beginning of 2015 made 14,4% (per 100 000 persons) in the structure of all mortality causes for able-bodied population of Russia. Among mortality causes of working age women the proportion of deaths from neoplasms by 2015 made 22,4% and came second after mortality due to cardiovascular diseases ( 23,9 percent). Although in the structure of overall morbidity per 100 thousand of female population of the Russian Federation malignant ovarian neoplasms according to 2014 made 4,4%, female morbidity with malignant ovarian tumors during the period from 2005 to the beginning of 2015 increased by 7,5%. In recent years mortality from ovarian cancer has annually steadily increased in the structure of mortality due to cancer of female reproductive organs. However, the proportion of patients with novel-diagnosed ovarian cancer detected at stage I-II, is insufficiently high. Among female population of Russia in 2015, this figure amounted to 38.3%. The study of available literature of domestic and foreign authors showed that the most effective algorithm for ovarian cancer early detection can be a diagnostic algorithm that includes modern methods of direct visualization of lower pelvis structures, such as magnetic resonance imaging and multiparametric ultrasound examination.

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About authors

Efimova Oksana Alekseevna
Republican Clinical Oncology Center radiologist; obstetrics and gynecology department graduate student, internal diseases propaedeutics with a course of radiation diagnosis department assistant, Chuvash State University, Russia, Cheboksary (oksanalekseevna.e@gmail.com)
Safonova Marina Anatolievna
Republican Clinical Oncology Dispensary radiology unit head; obstetrics and gynecology department graduate student, Chuvash State University, Russia, Cheboksary (safmaran@yandex.ru)
Ionov Aleksey Mikhailovich
Republican Clinical Oncology Center radiologist; obstetrics and gynecology department graduate student, internal diseases propaedeutics with a course of radiation diagnosis department assistant, Chuvash State University, Russia, Cheboksary (ionowy@yandex.ru)

Article link

Efimova O., Safonova M., Ionov A. Searching the optimal algorithm for radiodiagnosis of early ovarian cancer [Electronic resource] // Acta medica Eurasica. – 2017. – №1. P. 37-47. – URL: http://acta-medica-eurasica.ru/en/single/2017/1/7/.