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What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, …
Ovarian endometrioma (OMA) is the most prevalent form of endometriosis. Conservative surgical management of the condition is associated with a relatively high recurrence rate, the degree of which is potentially …
The likelihood of a successful pregnancy is influenced by a set of variables that influence endometrial receptivity, including hormonal, genetic, metabolic, age, lifestyle, and immunological factors. Among these, the endometrial …
Chinese Researchers Develop Prognostic Model Using Molecular Signatures to Predict Outcomes in Endometriosis-Associated Ovarian Cancer geneonline.com
Objective: To investigate the risk factors of endometrial polyps (EP) in patients with endometriosis (EM) and to analyze the predictive value of body composition measurement for EP. Methods: From January …
Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) …
This study aims to explore the value of MRI intravoxel incoherent motion (IVIM) combined with T2 mapping in predicting the malignancy of endometriosis (EM) and construct a noninvasive preoperative risk …
Gonadotropin-releasing hormone (GnRH) antagonists inhibit estrogen synthesis and secretion, making them promising treatment options for estrogen-dependent diseases, such as endometriosis. This study developed a population pharmacokinetic/pharmacodynamic (PK/PD) model for merigolix, …