Armando Hoch1,2, Tabitha Roth3, Magda Marcon4, Philipp Fürnstahl3, Sandro F Fucentese5, Reto Sutter4. 1. Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland. armando.hoch@balgrist.ch. 2. Research in Orthopaedic Computer Science, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. armando.hoch@balgrist.ch. 3. Research in Orthopaedic Computer Science, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. 4. Balgrist University Hospital, University of Zurich, RadiologyZurich, Switzerland. 5. Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
Abstract
PURPOSE: Pathological tibial torsion is known to negatively influence the functionality of the lower extremity, and therefore, its assessment might play an important role. While 3D imaging is used for many examinations of the musculoskeletal system, for the determination of tibial torsion no 3D measurement technique has been available so far. We developed a 3D measurement method and assess its interobserver reliability as well as its correlation with standard 2D measurement methods. METHODS: CT scans of 82 tibiae in 79 patients with a mean age of 41 years were included. A novel 3D measurement technique was developed and applied. Measurements were compared with two frequently used 2D measurement methods. ICC (intraclass correlation coefficient) for the new technique was determined and compared to the 2D measurement method. Furthermore, differences between left and right legs as well as between males and females were assessed. RESULTS: The ICC for the 2D methods was 0.917 and 0.938, respectively. For the 3D measurements, ICCs were calculated to be 0.954 and 0.950. Agreement between 2 and 3D methods was moderate to good with ICCs between 0.715 and 0.795. Torsion values for left and right legs did not differ significantly in 2D and in 3D (26.2 vs 28.5° and 27.2 vs. 25.9°). The same is true for the differences between male and female in 2D and 3D (26.2 vs. 29.6° and 25.0 vs. 31.2°). CONCLUSION: The newly developed 3D measurement technique shows a high intraclass agreement and offers an applicable opportunity to assess the tibial torsion three-dimensionally.
PURPOSE: Pathological tibial torsion is known to negatively influence the functionality of the lower extremity, and therefore, its assessment might play an important role. While 3D imaging is used for many examinations of the musculoskeletal system, for the determination of tibial torsion no 3D measurement technique has been available so far. We developed a 3D measurement method and assess its interobserver reliability as well as its correlation with standard 2D measurement methods. METHODS: CT scans of 82 tibiae in 79 patients with a mean age of 41 years were included. A novel 3D measurement technique was developed and applied. Measurements were compared with two frequently used 2D measurement methods. ICC (intraclass correlation coefficient) for the new technique was determined and compared to the 2D measurement method. Furthermore, differences between left and right legs as well as between males and females were assessed. RESULTS: The ICC for the 2D methods was 0.917 and 0.938, respectively. For the 3D measurements, ICCs were calculated to be 0.954 and 0.950. Agreement between 2 and 3D methods was moderate to good with ICCs between 0.715 and 0.795. Torsion values for left and right legs did not differ significantly in 2D and in 3D (26.2 vs 28.5° and 27.2 vs. 25.9°). The same is true for the differences between male and female in 2D and 3D (26.2 vs. 29.6° and 25.0 vs. 31.2°). CONCLUSION: The newly developed 3D measurement technique shows a high intraclass agreement and offers an applicable opportunity to assess the tibial torsion three-dimensionally.
Authors: Steven J Svoboda; Kathleen McHale; Stephen M Belkoff; Kathryn S Cohen; William R Klemme Journal: Foot Ankle Int Date: 2002-02 Impact factor: 2.827
Authors: Justus Schock; Daniel Truhn; Darius Nürnberger; Stefan Conrad; Marc Sebastian Huppertz; Sebastian Keil; Christiane Kuhl; Dorit Merhof; Sven Nebelung Journal: Sci Rep Date: 2021-12-01 Impact factor: 4.379