In this study, we summarize the clinical role of magnetic resonance imaging (MRI) in the diagnosis of patients with malignant uterine neoplasms, including leiomyosarcoma, endometrial stromal sarcoma, adenosarcoma, uterine carcinosarcoma, and endometr...
This study aims to determine whether clinical evaluation of improved MyoSure hysteroscopic tissue removal system can remove type II submucosal myomas with safety and high success rate of the first operation.Fifty-three patients with type II submucosa...
American journal of obstetrics and gynecology
26188114
OBJECTIVE: Increasingly, robotic surgery is being used for total hysterectomy, bilateral salpingo-oophorectomy, and lymph node dissection for uterine cancer. The purpose of this study was to compare the costs and complications among women undergoing ...
Once the decision to perform a hysterectomy has been made, the type and route of hysterectomy must be chosen, and efforts made to accomplish the surgery as safely as possible. Hysterectomy can be performed vaginally, abdominally with laparoscopic or ...
Interventional radiology procedures, equipment, and techniques as well as image guidance have developed dramatically over the last few decades. The evidence for minimally invasive interventions in vascular and oncology fields is rapidly growing and s...
PURPOSE: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted magnetic resonance imaging (PWI).
RATIONALE AND OBJECTIVE: Uterine leiomyomas with high signal intensity on T2-weighted imaging (T2WI) can be difficult to distinguish from sarcomas. This study assessed the feasibility of using machine learning to differentiate uterine sarcomas from l...
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were inc...