AIMC Topic: Genital Neoplasms, Female
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Lomboaortic Lymphadenectomy in Gynecological Oncology: Laparotomy, Laparoscopy or Robot-Assisted Laparoscopy?
Annals of surgical oncology
May 29, 2020
BACKGROUND: The outcomes of paraaortic lymphadenectomy were compared for the treatment of gynecological malignancies to identify the most appropriate surgical approach.
Developing knowledge-based planning for gynaecological and rectal cancers: a clinical validation of RapidPlan.
Journal of medical radiation sciences
May 25, 2020
INTRODUCTION: To create and clinically validate knowledge-based planning (KBP) models for gynaecologic (GYN) and rectal cancer patients. Assessment of ecologic generalisability and predictive validity of conventional planning versus single calculatio...
Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer.
Physics in medicine and biology
Oct 23, 2019
Digitization of interstitial needles is a complicated and tedious process for the treatment planning of 3D CT image based interstitial high dose-rate brachytherapy (HDRBT) of gynecological cancer. We developed a deep-learning assisted auto-digitizati...
Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy.
Physics in medicine and biology
Aug 14, 2019
External-beam radiotherapy followed by high dose rate (HDR) brachytherapy is the standard-of-care for treating gynecologic cancers. The enhanced soft-tissue contrast provided by magnetic resonance imaging (MRI) makes it a valuable imaging modality fo...
Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.
International journal of radiation oncology, biology, physics
Aug 1, 2019
PURPOSE: To assess the accuracy of machine learning to predict and classify quality assurance (QA) results for volumetric modulated arc therapy (VMAT) plans.
Radiotherapy Planning, Computer-Assisted
Data Accuracy
Quality Assurance, Health Care
Genital Neoplasms, Female
Poisson Distribution
Regression Analysis
Workload
Radiotherapy, Intensity-Modulated
Humans
Machine Learning
Female
Reproducibility of Results
Sensitivity and Specificity
Head and Neck Neoplasms
Deep-learning-assisted automatic digitization of applicators in 3D CT image-based high-dose-rate brachytherapy of gynecological cancer.
Brachytherapy
Jul 22, 2019
PURPOSE: Applicator digitization is one of the most critical steps in 3D high-dose-rate brachytherapy (HDRBT) treatment planning. Motivated by recent advances in deep-learning, we propose a deep-learning-assisted applicator digitization method for 3D...
A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.
Brachytherapy
May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.
Asian journal of psychiatry
Aug 18, 2018
OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression.
Robotic retroperitoneal lymph node dissection in gynaecological neoplasms: comparison of extraperitoneal and transperitoneal lymphadenectomy.
Archives of gynecology and obstetrics
Jul 19, 2015
OBJECTIVE: The main aim of our study is to review the till now available literature data on the role of robotic retroperitoneal lymph node dissection in gynaecological cancers by comparing the extraperitoneal versus the transperitoneal approach.
Prevention from port-site metastasis.
Archives of gynecology and obstetrics
Apr 26, 2015
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