This study was aimed to compare and analyze the magnetic resonance imaging (MRI) manifestations and surgical pathological results of endometrial cancer (EC) and to explore the clinical research of MRI in the diagnosis and staging of EC. . 80 patients...
European journal of obstetrics, gynecology, and reproductive biology
35151960
OBJECTIVE: Sentinel Lymph Node (SLN) mapping is increasingly used as an alternative to lymphadenectomy in endometrial cancer. There is, however, limited data regarding the clinical outcome and survival after SLN mapping. The aim of the study was to d...
OBJECTIVE: Recent reports in both cervical and endometrial cancer suggest that minimally invasive surgery (MIS) had an unanticipated negative impact on long-term clinical outcomes, including recurrence and death. Given increasing use of robotic surge...
Journal of applied clinical medical physics
35262273
PURPOSE: To develop a 3D-Unet dose prediction model to predict the three-dimensional dose distribution of volumetric modulated arc therapy (VMAT) for cervical cancer and test the dose prediction performance of the model in endometrial cancer to explo...
PURPOSE: To compare the diagnostic performance of deep learning models using convolutional neural networks (CNN) with that of radiologists in diagnosing endometrial cancer and to verify suitable imaging conditions.
OBJECTIVE: To develop machine-learning models to predict recurrence and time-to-recurrence in high-grade endometrial cancer (HGEC) following surgery and tailored adjuvant treatment.
The international journal of medical robotics + computer assisted surgery : MRCAS
35960009
BACKGROUND: The sentinel lymph node (SLN) procedures using indocyanine green (ICG) have recently been performed worldwide. The aim of this study was to emphasise the safety of robot-assisted modified radical hysterectomy (RAMRH) with removal of the l...
To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN) tracing in treating endometrial carcinoma. Thirty-two patients with early-staging endometrial carcinoma were operated with laparoscopic comprehensiv...
BACKGROUND: Endometrial cancer can be molecularly classified into POLE, mismatch repair deficient (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP) subgroups. We aimed to develop an interpretable deep learning pipeline for whole...
In this study we use artificial intelligence (AI) to categorise endometrial biopsy whole slide images (WSI) from digital pathology as either "malignant", "other or benign" or "insufficient". An endometrial biopsy is a key step in diagnosis of endomet...