Literature DB >> 30217556

Automated, accurate, and three-dimensional method for calculating sagittal slope of the tibial plateau.

Mark J Amirtharaj1, Brendan M Hardy1, Robert N Kent1, Danyal H Nawabi2, Thomas L Wickiewicz2, Andrew D Pearle2, Carl W Imhauser3.   

Abstract

Increased posterior-inferior directed slope of the subchondral bone of the lateral tibial plateau is a risk factor for noncontact rupture of the anterior cruciate ligament (ACL). Previous measures of lateral tibial slope, however, vary from study to study and often lack documentation of their accuracy. These factors impede identifying the magnitude of lateral tibial slope that increases risk of noncontact ACL rupture. Therefore, we developed and evaluated a new method that (1) requires minimal user input; (2) employs 3D renderings of the tibia that are referenced to a 3D anatomic coordinate system; and (3) is precise, reliable, and accurate. The user first isolated the proximal tibia from computed tomography (CT) scans. Then, the algorithm placed the proximal tibia in an automatically generated tibial coordinate system. Next, it identified points along the rim of subchondral bone around the lateral tibial plateau, iteratively fit a plane to this rim of points, and, finally, referenced the plane to the tibial coordinate system. Precision and reliability of the lateral slope measurements were respectively assessed via standard deviation and intra- and inter-class correlation coefficients using CT scans of three cadaveric tibia. Accuracy was quantified by comparing changes in lateral tibial slope calculated by our algorithm to predefined in silico changes in slope. Precision, reliability, and accuracy were ≤0.18°, ≥0.998, and ≤0.13°, respectively. We will use our novel method to better understand the relationship between lateral tibial slope and knee biomechanics towards preventing ACL rupture and improving its treatment.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Algorithm; Anterior cruciate ligament; Lateral plateau; Noncontact; Rupture; Sagittal; Slope; Tibia

Mesh:

Year:  2018        PMID: 30217556     DOI: 10.1016/j.jbiomech.2018.07.047

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  Morphological Analysis of the Tibial Slope in 720 Adult Knee Joints.

Authors:  Marc-Pascal Meier; Yara Hochrein; Dominik Saul; Mark-Tilmann Seitz; Friederike Sophie Klockner; Wolfgang Lehmann; Thelonius Hawellek
Journal:  Diagnostics (Basel)       Date:  2022-05-28

2.  Measurement of the Posterior Tibial Slope Depends on Ethnicity, Sex, and Lower Limb Alignment: A Computed Tomography Analysis of 378 Healthy Participants.

Authors:  Corentin Pangaud; Pierre Laumonerie; Louis Dagneaux; Sally LiArno; Peter Wellings; Ahmad Faizan; Akash Sharma; Matthieu Ollivier
Journal:  Orthop J Sports Med       Date:  2020-01-24

3.  A real 3D measurement technique for the tibial slope: differentiation between different articular surfaces and comparison to radiographic slope measurement.

Authors:  Armando Hoch; Lukas Jud; Tabitha Roth; Lazaros Vlachopoulos; Philipp Fürnstahl; Sandro F Fucentese
Journal:  BMC Musculoskelet Disord       Date:  2020-09-26       Impact factor: 2.362

4.  Tibial Tunnel Placement in ACL Reconstruction Using a Novel Grid and Biplanar Stereoradiographic Imaging.

Authors:  Julien Montreuil; Joseph Saleh; Thierry Cresson; Jacques A De Guise; Frédéric Lavoie
Journal:  Orthop J Sports Med       Date:  2021-03-11
  4 in total

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