Pelvic ultrasound is commonly used to detect ovarian torsion, but the diagnosis remains challenging as there is no single pathognomonic feature. This retrospective case-controlled study aims to identify an algorithm to detect torsion based on common ultrasound imaging features. Read More

Meeting name: SPR 2018 Annual Meeting & Postgraduate Course , 2018

Authors: Otjen Jeffrey, Stanescu A. Luana, Ansdell David, Alessio Adam, Parisi Marguerite

Keywords: torsion, ultrasound, machine learning

Ultrasound has long been a readily available, noninvasive, and accurate means of evaluating the female pelvis and is widely used in the emergency setting for girls with abdominal and pelvic pain. One key element in evaluating for pathology is to measure ovarian size and compare left and right ovaries. Normative volume data stratified by age are available; however, these studies suffer from lack of numbers, and frequently older equipment. Technological advances in ultrasonic hardware and software have increased the resolution of both gray-scale and Doppler imaging. Increases in spatial resolution allow for better identification and measurement of ovaries and precise measurements and depictions of anatomic details. The purpose of this study was to re-evaluate normal pediatric ovarian volumes in relation to patient age with a larger dataset and newer technology. Read More

Meeting name: SPR 2018 Annual Meeting & Postgraduate Course , 2018

Authors: Otjen Jeffrey, Ansdell David, Stanescu A. Luana, Alessio Adam, Parisi Marguerite

Keywords: Ovary, Ultrasound