By Irem OnurMagnetic resonance imaging classification for the management of deep pelvic endometriosis
By Irem Onur
A new study published in the journal "Human Reproduction" reported that operating time, hospital stay, and postoperative complications in patients who underwent surgery for deep endometriosis can be predicted by the MRI. This result may be useful for clinicians to…
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By Bahar YukselReproductive capacity and recurrence rate after surgery for Stage III/IV endometriosis
By Bahar Yuksel
If gaining fertility back is the main goal, the surgical removal of endometriosis lesions is globally recognized as first-line therapy. Even though, pre- and postoperative hormone therapy leads to a significant decrease in the spread of the disease measured with the…
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Preoperative serum CA 125 levels predict the severity of adhesions in endometriosis
By Irem Onur
Lee Y. et al., a group of researchers from Korea evaluated the correlation between preoperative serum markers and pelvic adhesions in endometriosis patients and explored the markers’ clinical value for outcome prediction. They have recently published their study in the…
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By Hale Goksever CelikRecent advances in the diagnosis and treatment of endometriosis
By Hale Goksever Celik
Endometriosis is an estrogen-dependent disease that is commonly diagnosed in reproductive-aged women. The most common complaints of women with endometriosis are pain and fertility problems. Although many advanced types of research about the etiology, differential diagnosis and treatment have been…
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By Dr. Youngran ParkMachine Learning Classifiers for Endometriosis
By Dr. Youngran Park
Endometriosis is a complicated gynecological disorder that affects about 176 million women worldwide. It significantly impairs mental and physical quality of life in patients but the etiology is poorly understood. Endometriosis also causes a large economic burden due to loss…
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By Timur SeckinHow to predict complications for endometriosis surgery?
By Timur Seckin
In a new study co-led by scientists at Sorbonne University, a nomogram is built to better inform patients about the risk of deep endometriosis surgery without bowel involvement. The findings have been published in the European Journal of Obstetrics &…
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By Selma OransayHow to Classify Endometriosis for a better and effective evaluation
By Selma Oransay
Endometriosis affects 10% of women in their reproductive period and causes infertility around 40% of women who have the disease. Peritoneal fluid may be one of the factors to facilitate the spread of endometriosis to ovaries, peritoneum and other deep…
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Endometriosis as a chronic disease: The benefits for the patients
By Selma Oransay
Rebecca O'Hara et al. from Monash University, Melbourne, Australia, recently published their qualitative case study in the Journal "Australian Health Review", to build a National Policy about endometriosis considering as a chronic disease. In Australia, long-term complex diseases are managed…
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How to improve the current ASRM classification of endometriosis?
By Selma Oransay
In this article which recently published in Best Practice&Research Clinical Obst&Gyn. from the University of Sao Paulo, Brazil, Andres et al. penned a review of the classification of endometriosis in chronological order, and discussed the limitations of existing classification systems to…
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