{"title":"Endometriosis and Cancer","authors":"Sushil Kumar Giri, B. Nayak","doi":"10.5772/intechopen.102393","DOIUrl":"https://doi.org/10.5772/intechopen.102393","url":null,"abstract":"Endometriosis is a chronic debilitating inflammatory disease of women, with the growth of ectopic endometrium in extrauterine sites like rectovaginal septum, peritoneal surfaces, or ovaries, etc. Though endometriosis is not regarded as a malignant disorder, it does have some features common to malignant disease. They are; local and distant metastasis, invasion and destruction to adjacent structures, unrestricted growth, development of new blood vessels. The association between endometriosis and ovarian, endometrial, and cervical cancers and between endometriosis and extra-ovarian malignancies has been reported in different kinds of literature. Clear cell and endometrioid ovarian carcinomas are presumed to have developed from endometriosis. Ovarian seromucinous borderline tumors, low-grade serous ovarian carcinomas, adenosarcoma, and endometrial stromal sarcomas may also arise from endometriosis. However, it is not very clear whether endometriosis has undergone malignant transformation or simply is found co-existent with cancer. Endometriosis itself may increase a woman’s risk of developing non-Hodgkin’s lymphoma, malignant melanoma, and breast cancer.","PeriodicalId":395502,"journal":{"name":"Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129280204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Endometriosis in Mare; What the Mare Can Teach Us When Dealing with Endometriosis in the Woman","authors":"David A. Trundell","doi":"10.5772/intechopen.100515","DOIUrl":"https://doi.org/10.5772/intechopen.100515","url":null,"abstract":"Endometriosis is a serious, often irreversible disease of the mare. Often associated with endometritis, this chapter will review our current understanding of pathophysiology, etiology, diagnosis and possible treatments. Endometriosis is a disease complex typically seen in our older mare population. It is important that we understand that although the same term is used to describe a condition in our human patients, it is, however, not the same medical condition as seen in our equine patients. As this disease profile is irreversible with limited treatment options, it causes significant economic strain in our broodmare population.","PeriodicalId":395502,"journal":{"name":"Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]","volume":"89 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126084177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Tsikouras, F. Gaitatzi, Stefani Filiou, S. Michalopoulos, A. Gerede, Tsalikidis Christos, S. Zervoudis, A. Bothou, Xanthi Vatsidou, A. Chalkidou, G. Dragoutsos, Ioannis Tsirkas, K. Nikolettos, A. Alexiou, Irine Babageorgaka, Natalia Sachnova, N. Panagiotopoulos, Theopi Nalbanti, P. Simeonidis, Nektaria Kritsotaki, Chrysovalantis Stylianou, A. Vasilopoulos, Sebaidin Perende, P. Peitsidis, N. Nikolettos, V. Souftas
{"title":"Uterine Embolization as a New Treatment Option in Adenomyosis Uteri","authors":"P. Tsikouras, F. Gaitatzi, Stefani Filiou, S. Michalopoulos, A. Gerede, Tsalikidis Christos, S. Zervoudis, A. Bothou, Xanthi Vatsidou, A. Chalkidou, G. Dragoutsos, Ioannis Tsirkas, K. Nikolettos, A. Alexiou, Irine Babageorgaka, Natalia Sachnova, N. Panagiotopoulos, Theopi Nalbanti, P. Simeonidis, Nektaria Kritsotaki, Chrysovalantis Stylianou, A. Vasilopoulos, Sebaidin Perende, P. Peitsidis, N. Nikolettos, V. Souftas","doi":"10.5772/intechopen.101480","DOIUrl":"https://doi.org/10.5772/intechopen.101480","url":null,"abstract":"Adenomyosis is characterized by the development of endometrial ectopic glands and tissue in the myometrium layer in depth greater than 2.5 mm from the endometrial surface of the separative area by -myomas well as by hypertrophy and hyperplasia of the smooth muscles of the myometrium. This is filtration, not mere displacement, of the myometrium, from the endometrium. Clinical symptoms include dysmenorrhea and menorrhagia. It is diffuse (adenomyosis) or focal (adenomyoma), asymmetrically affects the uterine wall of premenopausal women (usually the posterior) and often coexists with myomas. The pathogenesis of adenomyosis remains unknown. The treatment options are: drug therapy, invasive treatment of fibroids: myomectomy (open—intra-abdominal, laparoscopic, hysteroscopic), hysterectomy, myolysis—cryocatalysis, microwave or radiofrequency thermal catalysis (RF-ablation), ultrasound focus catalysis (FUS), laser photocatalysis and percutaneous selective uterine artery embolization (UAE). Embolization remains an alternative and not a substitute of hysterectomy. The medical indication is made on a case-by-case basis, depending on age, desire for pregnancy and the clinical symptoms of adenomyosis.","PeriodicalId":395502,"journal":{"name":"Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129005806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Endometriosis on Controlled Ovarian Stimulation Outcome","authors":"D. Albu, A. Albu","doi":"10.5772/intechopen.101588","DOIUrl":"https://doi.org/10.5772/intechopen.101588","url":null,"abstract":"Endometriosis, a frequent condition in reproductive age women, is also associated with infertility by mechanisms incompletely clarified. The effectiveness of endometriosis treatment for infertility is debated, being possible that in vitro fertilization (IVF) offers a better alternative. The response to controlled ovarian stimulation (COS) is an important predictor of live birth, but it might be affected in endometriosis possibly through a decrease of ovarian reserve. Moreover, the predictive value of anti-mullerian hormone (AMH) for the response to COS could be altered by factors disrupting the AMH production in endometriosis. Therefore, we aim to review the literature regarding the response to COS and the AMH production and their predictive value for COS response in patients with endometriosis.","PeriodicalId":395502,"journal":{"name":"Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying Machine Learning Algorithms to Predict Endometriosis Onset","authors":"Ewa J. Kleczyk, Tarachand Yadav, S. Amirtharaj","doi":"10.5772/intechopen.101391","DOIUrl":"https://doi.org/10.5772/intechopen.101391","url":null,"abstract":"Endometriosis is a commonly occurring progressive gynecological disorder, in which tissues similar to the lining of the uterus grow on other parts of the female body, including ovaries, fallopian tubes, and bowel. It is one of the primary causes of pelvic discomfort and fertility challenges in women. The actual cause of the endometriosis is still undetermined. As a result, the objective of the chapter is to identify the drivers of endometriosis’ diagnoses via leveraging selected advanced machine learning (ML) algorithms. The primary risks of infertility and other health complications can be minimized to a greater extent if a likelihood of endometriosis could be predicted well in advance. Logistic regression (LR) and eXtreme Gradient Boosting (XGB) algorithms leveraged 36 months of medical history data to demonstrate the feasibility. Several direct and indirect features were identified as important to an accurate prediction of the condition onset, including selected diagnosis and procedure codes. Creating analytical tools based on the model results that could be integrated into the Electronic Health Records (EHR) systems and easily accessed by healthcare providers might aid the objective of improving the diagnostic processes and result in a timely and precise diagnosis, ultimately increasing patient care and quality of life.","PeriodicalId":395502,"journal":{"name":"Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130562285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantitative Imaging Parameters in the Diagnosis of Endometriomas","authors":"P. Ștefan, Roxana-Adelina Lupean, D. Tamandl","doi":"10.5772/intechopen.101561","DOIUrl":"https://doi.org/10.5772/intechopen.101561","url":null,"abstract":"The classic imaging diagnosis of endometriomas encounters multiple limitations, including the subjective evaluation of medical examinations and a similar imaging appearance with other adnexal lesions, especially the functional hemorrhagic cysts. For this reason, a definite diagnosis of endometriomas can be made only by pathological analysis, which reveals particular features in terms of cellularity and biochemical components of their fluid content. It is theorized that these histopathological features can also be reflected in medical images, altering the pixel intensity and distribution, but these changes are too subtle to be assessed by the naked eye. New quantitative imaging evaluations and emerging computer-aided diagnosis techniques can provide a detailed description of image contents that can be furtherly processed by algorithms, aiming to provide a more accurate and non-invasive diagnosis for this disease.","PeriodicalId":395502,"journal":{"name":"Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123564298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}