AI Radiomics Accurately Differentiates Endometrial Tumors Bioengineer.org
AI Radiomics Accurately Differentiates Endometrial Tumors BIOENGINEER.ORG
CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study BioMedical Engineering OnLine
Background: Desmoid tumors (DTs) are rare, locally aggressive soft-tissue neoplasms that often affect women of reproductive age. Pregnancy and prior abdominal surgery or trauma have been associated with tumor development …
Endometriosis is a chronic inflammatory condition requiring surgical or imaging visualization for definitive diagnosis. How endometriotic lesion characteristics relate to circulating inflammatory markers remains unclear. We evaluated 11 inflammatory biomarkers, …
Endometrioid borderline ovarian tumor (EBOT) is rare and frequently misdiagnosed. This study aims to investigate the clinicopathological features, immunohistochemical characteristics, differential diagnosis, therapeutic approaches and disease prognosis, thereby establishing a …
Endometriosis (ENDO) is a painful, chronic gynecological disease widely affecting women globally. While traditionally classified as a hormonal disorder, ENDO is now increasingly recognized as a multifaceted immune-mediated syndrome driven …
To explore the clinicopathological features and origin of mesonephric-like adenocarcinomas (MLAs), 83 cases diagnosed or suspected to be MLAs were collected from various institutions in Japan. We clearly classified 78 …
Polypoid endometriosis (PE) is a rare entity, but it is important to recognize because it represents a huge diagnostic challenge due to rarity. On the other hand, it presents as …
This case report describes the management of fallopian tube cavernous haemangioma discovered at caesarean section, and provides insight to the literature on this extremely rare benign vascular tumor with regard …