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Endometrial Neoplasms

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Minimally invasive surgery for endometrial cancer: a comprehensive review.

Archives of gynecology and obstetrics
PURPOSE OF REVIEW: The objective of this article is to review the recently published literature on the use of minimally invasive surgical approaches for patients with endometrial cancer.

Immediate repair of an incompletely transected obturator nerve during robotic-assisted pelvic lymphadenectomy.

Journal of minimally invasive gynecology
Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when extensive pelvic side wall dissection is performed. In this case, we report an immediate repair of an incompletely transected obturator nerve during robot...

Enhanced recovery programme in robotic hysterectomy.

British journal of nursing (Mark Allen Publishing)
The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectomy, peritoneal washings with or without bilateral pelvic and/or paraaortic lymph node dissection/sampling with or without omental biopsy or omentectomy...

A Machine Learning Approach to Build and Evaluate a Molecular Prognostic Model for Endometrial Cancer Based on Tumour Microenvironment.

Journal of cellular and molecular medicine
Endometrial cancer (EC) incidence and the associated tumour burden have increased globally. To build a molecular expression prognostic model based on the tumour microenvironment to guide personalised treatment using a machine learning approach. Two d...

A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer.

Cancer medicine
BACKGROUND: To explore the efficacy of a prediction model based on diffusion-weighted imaging (DWI) features extracted from deep learning (DL) and radiomics combined with clinical parameters and apparent diffusion coefficient (ADC) values to identify...

Unraveling Endometrial Cancer Survival Predictors Through Advanced Machine Learning Techniques.

Studies in health technology and informatics
This study explores endometrial cancer (EC) within the broader context of oncogynecology, focusing on 3,845 EC patients at the Almazov National Research Center. The research analyzes clinical data, employing machine learning techniques like random fo...

The first report of surgery for gynecological diseases using the hinotoriā„¢ surgical robot system.

Japanese journal of clinical oncology
OBJECTIVE: This study aimed to report the first surgery for gynecological diseases using a new robotic platform, the hinotoriā„¢, and validate its feasibility in clinical settings.

Extended Venous Thromboembolism Prophylaxis after Robotic Staging for Endometrial Cancer.

Southern medical journal
OBJECTIVES: Our objectives were to estimate the incidence of venous thromboembolism (VTE) after robotic staging for endometrial cancer and to compare the incidence of VTE in patients who received a single dose of preoperative prophylaxis of enoxapari...

[Application of robot-assisted laparoscopic sentinel lymph node tracing in treating endometrial carcinoma].

Zhonghua fu chan ke za zhi
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...

A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.

International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists
Benign normal (NL), premalignant (endometrial intraepithelial neoplasia, EIN) and malignant (cancer, EMCA) endometria must be precisely distinguished for optimal management. EIN was objectively defined previously as a regression model incorporating m...