A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone

Objectives Our aim was to assess the ability of semi-automatically extracted magnetic resonance imaging (MRI)–based radiomic features from tibial subchondral bone to distinguish between knees without and with osteoarthritis. Methods The right knees of 665 females from the population-based Rotterdam...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	European radiology 2021-11, Vol.31 (11), p.8513-8521
Hauptverfasser:	Hirvasniemi, Jukka, Klein, Stefan, Bierma-Zeinstra, Sita, Vernooij, Meike W., Schiphof, Dieuwke, Oei, Edwin H. G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Arthritis Biomarkers Biomedical materials Body mass Body mass index Body size Bone imaging Confidence intervals Diagnostic Radiology Feature extraction Female Humans Imaging Internal Medicine Interventional Radiology Knee Knee Joint Learning algorithms Machine Learning Magnetic Resonance Imaging Medical imaging Medicine Medicine & Public Health Musculoskeletal Neuroradiology Osteoarthritis Osteoarthritis, Knee - diagnostic imaging Population studies Radiology Radiomics ROC Curve Subchondral bone Tibia Tibia - diagnostic imaging Ultrasound
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!