1. Feature Of The Week 9/16/12: Institute of Applied Physics/Russian Academy of Sciences Investigates Criteria for Pathology Recognition in Optical Coherence Tomography of Fallopian Tubes

    Feature Of The Week 9/16/12: Institute of Applied Physics/Russian Academy of Sciences Investigates Criteria for Pathology Recognition in Optical Coherence Tomography of Fallopian Tubes

    The problems of revealing causes of infertility and chronic pelvic pains are currently of great significance. The World Health Organization (WHO) reports on the level of infertile marriages which grew up to 12-18% worldwide in the recent 2-3 decades and its classification includes “unexplained infertility”, when there are no visible objective causes of impairment of reproductive function. On the one hand, “unexplained infertility” is associated with prevalence of asymptomatic and subclinical forms of female pelvic diseases while on the other hand it can be explained by imperfection of traditional diagnostic techniques. Currently invasive laparoscopic examination is considered as the preferred method for diagnostics of subclinical pelvic inflammatory diseases (PID) although it ensures comparatively low sensitivity and a high specificity. In order to increase diagnostic accuracy of laparoscopic examination we propose the method combining laparoscopy and OCT imaging for detection of morphological changes in fallopian tubes in the case of chronic inflammation. In the study 165 female patients were enrolled. Collected OCT images set allowed to work out subjective criteria for distinguishing OCT images of normal and pathologic cases. The developed criteria further underwent blind recognition test. The diagnostic efficacy of subjective recognition (sensitivity 90%, specificity 81%; diagnostic accuracy 88%) indicated high potential of OCT in detecting PID. Basing on the formula of these criteria independent criteria based on image analysis were worked out which allowed to additionally increase diagnostic value (sensitivity 96%, specificity 100%; and diagnostic accuracy 96%). In perspective these criteria can be employed for automatic recognition of OCT images and processing of video-stream.

    For more information see recent Article. Courtesy of Mikhail Kirillin from the Institure of Applied Physics, Russian Academy of Sciences.

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