Predicting the mechanical hip–knee–ankle angle accurately from standard knee radiographs: a cross-validation experiment in 100 patients

Background and purpose — Being able to predict the hip–knee–ankle angle (HKAA) from standard knee radiographs allows studies on malalignment in cohorts lacking full-limb radiography. We aimed to develop an automated image analysis pipeline to measure the femoro-tibial angle (FTA) from standard knee radiographs and test various FTA definitions to predict the HKAA. Patients and methods — We included 110 pairs of standard knee and full-limb radiographs. Automatic search algorithms found anatomic landmarks on standard knee radiographs. Based on these landmarks, the FTA was automatically calculated... Mehr ...

Verfasser: Gielis, Willem Paul
Rayegan, Hassan
Arbabi, Vahid
Ahmadi Brooghani, Seyed Y.
Lindner, Claudia
Cootes, Tim F.
de Jong, Pim A.
Weinans, H.
Custers, Roel J.H.
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Schlagwörter: Algorithms / Anatomic Landmarks/diagnostic imaging / Ankle/pathology / Bone Malalignment/diagnosis / Dimensional Measurement Accuracy / Extremities/diagnostic imaging / Female / Hip/pathology / Humans / Image Processing / Computer-Assisted/methods / Knee/diagnostic imaging / Male / Middle Aged / Netherlands / Predictive Value of Tests / Radiography/methods / Surgery / Orthopedics and Sports Medicine / Research Support / Non-U.S. Gov't / Journal Article
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29203634
Datenquelle: BASE; Originalkatalog
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Link(s) : https://dspace.library.uu.nl/handle/1874/440837