Kevin Wirth, Stefan Boes, Markus Näpflin, Carola Huber, Eva Blozik
Initial prescriptions and medication switches of biological products: an analysis of prescription pathways and determinants in the Swiss healthcare setting
BMJ open
cardiac magnetic resonance cmr imaging allows precise noninvasive quantification cardiac function requires reliable image segmentation myocardial tissue clinically used software usually offers automatic approaches step however designed segmentation human images obtained clinical field strengths reach limits applied preclinical data ultrahigh field strength cmr pigs 7 study eleven animals seven myocardial infarction underwent four cmr scans shortaxis cine stacks acquired used functional cardiac analysis endsystolic enddiastolic images labelled manually two observers inter intraobserver variability assessed aiming make functional analysis faster reproducible established deep learning dl model myocardial segmentation humans retrained using preclinical 7 data n 772 images labels tested model n 288 images excellent agreement parameters cardiac function found manual dl segmentation ejection fraction ef achieved pearsons r 095 intraclass correlation coefficient icc 097 coefficient variability cov 66 dice scores 088 left ventricle 084 myocardium