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 ...
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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 |
Powered By: | BASE |
Link(s) : | https://dspace.library.uu.nl/handle/1874/440837 |