Ultrasound-based risk model for preoperative prediction of lymph-node metastases in women with endometrial cancer: model-development study.
L S E ErikssonElisabeth EpsteinAntonia Carla TestaDaniela FischerovaLil ValentinPovilas SladkeviciusD FranchiF FrühaufR FruscioL A HaakG OpolskieneF MasciliniJuan Luis AlcazarC Van HolsbekeV ChiappaT BournePelle G LindqvistB Van CalsterD TimmermanJan Yvan Jos VerbakelT Van den BoschL WynantsPublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2021)
Based on endometrial biopsy results and clinical and ultrasound characteristics, the individual risk of lymph-node metastases in women with endometrial cancer can be estimated reliably before surgery. The model is superior to risk classification by endometrial biopsy alone or in combination with ultrasound. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
Keyphrases
- endometrial cancer
- lymph node
- ultrasound guided
- magnetic resonance imaging
- neoadjuvant chemotherapy
- minimally invasive
- machine learning
- deep learning
- sentinel lymph node
- coronary artery bypass
- squamous cell carcinoma
- coronary artery disease
- randomized controlled trial
- computed tomography
- early stage
- atrial fibrillation