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Uterine Artery Embolization

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Flexible robotics in pelvic disease: does the catheter increase applicability of embolic therapy?

The Journal of cardiovascular surgery 29430891
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...
Catheterization, Peripheral Embolization, Therapeutic Equipment Design Female Humans Leiomyoma Male Pelvis Pliability Prostatic Hyperplasia Radiography, Interventional Regional Blood Flow Robotics Treatment Outcome Uterine Artery Embolization Uterine Neoplasms Vascular Access Devices Vascular Diseases
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Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

Journal of vascular and interventional radiology : JVIR 32376183
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Adult Aged Clinical Decision-Making Deep Learning Diagnosis, Computer-Assisted Female Humans Image Interpretation, Computer-Assisted Leiomyoma Magnetic Resonance Imaging Middle Aged Observer Variation Philadelphia Predictive Value of Tests Reproducibility of Results Retrospective Studies Treatment Outcome Uterine Artery Embolization Uterine Neoplasms
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR 32376173
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Adolescent Adult Aged Aged, 80 and over Child Child, Preschool Data Mining Databases, Factual Female Hospital Mortality Humans Iatrogenic Disease Image-Guided Biopsy Infant Infant, Newborn Inpatients Length of Stay Machine Learning Male Middle Aged Pneumothorax Portasystemic Shunt, Transjugular Intrahepatic Radiography, Interventional Retrospective Studies Risk Assessment Risk Factors Time Factors United States Uterine Artery Embolization Young Adult
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Multi-machine Learning Model Based on Habitat Subregions for Outcome Prediction in Adenomyosis Treated by Uterine Artery Embolization.

Academic radiology 38845295
RATIONALE AND OBJECTIVES: To establish and validate a predictive multi-machine learning model for the long-term efficacy of uterine artery embolization (UAE) in the treatment of adenomyosis based on habitat subregions.
Adenomyosis Adult Female Humans Machine Learning Magnetic Resonance Imaging Middle Aged Retrospective Studies Treatment Outcome Uterine Artery Embolization
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