Quantitative assessment of acetabular bone defects: A study of 50 computed tomography data sets.

Ronja A SchierjottGeorg HettichHeiko GraichenVolkmar JanssonMaximilian RudertFrancesco TrainaPatrick WeberThomas M Grupp

Published in: PloS one (2019)

Within this study, 50 pelvises with acetabular bone defects were successfully analyzed using six parameters. This could provide the basis for a novel classification concept which would represent a quantitative, objective, unambiguous, and reproducible classification approach for acetabular bone defects.

Keyphrases

bone mineral density
computed tomography
total hip arthroplasty
total hip
machine learning
deep learning
soft tissue
bone loss
bone regeneration
postmenopausal women
total knee arthroplasty
positron emission tomography
big data
mass spectrometry
artificial intelligence
contrast enhanced
pet ct