Adenomyosis is characterized by the presence of ectopic endometrial glands and tissue within the myometrium. The diagnosis and detection of adenomyosis on imaging have been hindered by a lack of …
Catamenial pneumothorax is a rare form of recurrent spontaneous pneumothorax occurring in women in temporal association with the menstrual cycle, most commonly within 72 h before or after the onset …
Ovarian carcinomas represent the second most common malignancy of the female genital tract; however, primary squamous cell carcinoma (SCC) is a rare subtype. Most of these tumors arise from malignant …
Endometriosis is a chronic gynecological disorder, characterized by the presence of functional endometrial glands and stroma outside the uterine cavity. It commonly presents with pelvic pain and infertility and may …
Endometriosis progression is driven by oxidative stress and excessive angiogenesis within an inflammatory microenvironment. To overcome these challenges, we designed ROS/pH dual-responsive Alpelisib-loaded nanoparticles (Alp@TAT-AT7-NPs) functionalized with an anti-NRP1 peptide …
Endometriosis is a common gynecologic disorder often associated with chronic pelvic pain, infertility, and reduced quality of life. Conventional imaging modalities, such as transvaginal ultrasound and MRI, may underestimate the …
Endometriosis can be tough to diagnose accurately, especially when standard imaging misses hidden lesions. We explored whether 68Ga-FAPI-46 PET/CT, a new molecular imaging technique, could spot multifocal endometriosis that conventional …
We report the case of a 42-year-old woman with a history of uterine fibroids treated with robotic myomectomy 12 years prior who presented with extensive uterine fibroids, perihepatic lesions, and …
To assess the preoperative diagnostic accuracy of abdominal wall endometriosis (AWE) by general surgical teams and specialized endometriosis centers in assessing abdominal wall masses using clinical evaluation and imaging.
To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …