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A Multivariate Analysis of Correlation between Severity and Duration of Symptoms, Patient Profile and Stage of Endometriosis 被引量:5
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作者 Ayalur Gopalakrishnan Radhika Sonia Chawla +2 位作者 Priyadrshini Nanda garima yadav Gita Radhakrishnan 《Open Journal of Obstetrics and Gynecology》 2016年第10期615-622,共8页
Background: Endometriosis is an important cause of infertility and chronic pelvic pain. Our study aims to understand the cause and effect relationship of endometriosis with these two clinical presentations. Objectives... Background: Endometriosis is an important cause of infertility and chronic pelvic pain. Our study aims to understand the cause and effect relationship of endometriosis with these two clinical presentations. Objectives: 1) To study the correlation between stage of endometriosis with pain and infertility;2) To evaluate role of transvaginal ultrasound for diagnosis of endometriosis using laparoscopic diagnosis as gold standard. Methodology: Total of 89 women presenting with infertility and or pain and with laparoscopic findings of endometriosis were included in the study. The results were analysed by logistic regression. Results: The mean age of women was 29.67 years. Seventy three percent of patients had moderate to severe disease while 31.46% of patients with endometriosis were infertile. Symptom of pain could be categorised as dysmenorrhea (71.47%), dyspareunia (41.5%) and dyschezia (15.7%). There was no association of endometriosis stage with the pain type, duration of symptoms. Transvaginal ultrasound seems a reliable test for diagnosis of ovarian endometriosis and advanced stage disease. 87.5% of patients with ovarian endometrioma had advanced disease (higher than Stage II rAFS). Conclusion: No correlation was found between the stage of endometriosis and severity of symptoms. Presence of endometrioma on USG was associated with advanced stage of endometriosis. 展开更多
关键词 ENDOMETRIOSIS INFERTILITY DYSMENORRHOEA ENDOMETRIOMA
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Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine 被引量:3
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作者 Sayali Mukherjee garima yadav Rajnish Kumar 《World Journal of Stem Cells》 SCIE 2021年第6期521-541,共21页
Stem cells are undifferentiated cells that can self-renew and differentiate into diverse types of mature and functional cells while maintaining their original identity.This profound potential of stem cells has been th... Stem cells are undifferentiated cells that can self-renew and differentiate into diverse types of mature and functional cells while maintaining their original identity.This profound potential of stem cells has been thoroughly investigated for its significance in regenerative medicine and has laid the foundation for cellbased therapies.Regenerative medicine is rapidly progressing in healthcare with the prospect of repair and restoration of specific organs or tissue injuries or chronic disease conditions where the body’s regenerative process is not sufficient to heal.In this review,the recent advances in stem cell-based therapies in regenerative medicine are discussed,emphasizing mesenchymal stem cell-based therapies as these cells have been extensively studied for clinical use.Recent applications of artificial intelligence algorithms in stem cell-based therapies,their limitation,and future prospects are highlighted. 展开更多
关键词 Artificial intelligence Machine learning Mesenchymal stem cells Regenerative medicine Stem cells THERAPY
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