A deep learning algorithm for radiographic measurements of the hip versus human CT measurements: An intermodality agreement study

There was a significant difference in agreement of 5° between CT and radiographs for the LCEA bilaterally. The difference for the AIA was between 0 and 1°, probably of little clinical significance. Pelvic rotation slightly affected bias of the right LCEA, suggesting minimal clinical impact of a slightly rotated pelvis.

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Publication Details

Journal
Acta Radiologica Open
Published
2025-03-27
DOI
https://doi.org/10.1177/20584601251330554
Primary Topic
Hip disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

A deep learning algorithm for radiographic measurements of the hip versus human CT measurements: An intermodality agreement study

Søren Overgaard, Janni Jensen, Claus Varnum, Martin Haagen Haubro et al.
Acta Radiologica Open
Hip disorders and treatments
article

A deep learning algorithm for radiographic measurements of the hip versus human CT measurements: An intermodality agreement study

Søren Overgaard, Janni Jensen, Claus Varnum, Martin Haagen Haubro, Christian Greve Jensen, Benjamin Schnack Rasmussen
article en

Abstract

There was a significant difference in agreement of 5° between CT and radiographs for the LCEA bilaterally. The difference for the AIA was between 0 and 1°, probably of little clinical significance. Pelvic rotation slightly affected bias of the right LCEA, suggesting minimal clinical impact of a slightly rotated pelvis.

Acta Radiologica OpenVol. 14(4)
University of Copenhagen (DK), University of Southern Denmark (DK), Odense University Hospital (DK), Copenhagen University Hospital (DK), Lillebaelt Hospital (DK)
Openalex Percentile: Top 90%
Hip disorders and treatments
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