EP28.07: PALM-COEIN classification of submucosal myomas using 3D saline contrast sonohysterography: intermethod agreement
نویسندگان
چکیده
منابع مشابه
Saline infusion sonohysterography
Saline infusion sonohysterography (SIS) is the term for ultrasound imaging of the uterine cavity, using sterile saline solution as a negative contrast medium. It imitates the clarity and exquisite definition of the uterine cavity afforded by amniotic fluid during pregnancy. In principle, any clear liquid could be used to define surfaces. However, sterile saline is inexpensive, easily available ...
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BACKGROUND/AIM Myomas of the uterus, the most common benign tumors, have been studied for decades from the aspects of different basic and clinical disciplines. Despite this fact, their pathogenesis is still poorly understood. The aim of this study was to determine immunocytochemical characteristics of smooth muscle cells and connective tissue components of submucosal myomas of the uterus. MET...
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INTRODUCTION Abnormal uterine bleeding (AUB) is the commonest menstrual problem during perimenopause. The International Federation of Gynaecology and Obstetrics working group on menstrual disorders has developed a classification system (PALM-COEIN) for causes of the AUB in non-gravid women. The present study was conducted with the aim to study the two components of this system in clinical pract...
متن کاملTransabdominal Saline Contrast Sonohysterography: Can It Replace Hysterosalpingography In Low Resource Countries?
Conclusion: The readily available, easy to interpret TASCSH is not only safer and cheaper but it’s as accurate as HSG in evaluating the fallopian tubes and uterine cavity in infertile patients. We advocate its use as replacement for HSG in environment like ours where Hysteroscopy, MRI, positive contrast sonohysterography, transvaginal probes and skill are not readily available. AdemolA A. Aremu...
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Several semi-supervised learning methods have been proposed to leverage unlabeled data, but imbalanced class distributions in the data set can hurt the performance of most algorithms. In this paper, we adapt the new approach of contrast classifiers for semi-supervised learning. This enables us to exploit large amounts of unlabeled data with a skewed distribution. In experiments on a speech act ...
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ژورنال
عنوان ژورنال: Ultrasound in Obstetrics & Gynecology
سال: 2017
ISSN: 0960-7692
DOI: 10.1002/uog.18771