A Novel Method for the Approximation of Humeral Head Retrotorsion Based on Three-Dimensional Registration of the Bicipital Groove

Vlachopoulos, Lazaros; Carrillo, Fabio; Dünner, Celestine; Gerber, Christian; Székely, Gábor; Fürnstahl, Philipp

doi:10.2106/jbjs.17.01561

Cited by 11 publications

(19 citation statements)

References 28 publications

(51 reference statements)

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“…The use of distinct anatomical landmarks for the contralateral 3D registration proved to reduce outliers and allows a more precise approximation of the original anatomy, which is in line with previous results [25]. The measured distance of the fibular tip to the JL yielded relatively small side-to-side differences and supports the role of the fibular tip as an important anatomical structure with an excellent inter-reader reliability, as previously demonstrated by Maderbacher et al [14].…”

Section: Discussionsupporting

confidence: 87%

“…3D triangular surface models of 96 paired (48 left, 48 right) healthy tibiae and fibulae were generated with manual threshold segmentation and region growing using MIMICS software (MIMICS Medical, Materialise NV, Leuven, Belgium) and imported into the in-house surgical planning software CASPA (Balgrist, Zurich, Switzerland). To approximate the original JL from the mirrored contralateral side, an iterative closest point (ICP) algorithm [1] was used to superimpose the mirrored contralateral model onto the original model, as described in previous studies [17,25]. A 3D coordinate system was defined according to [5]; z-axis equal directional vector as the anatomical tibia axis defined by an oriented bounding box (OBB) [26], x-axis: lateral, y-axis: anterior (see Fig.…”

Section: Specimens and 3d Registration Algorithmmentioning

confidence: 99%

“…As segment selection and included anatomical structures potentially improve the accuracy to approximate the original model [25], we defined three distinct segments of the lower leg to restore the JL, excluding the potentially deformed tibia plateau. The contralateral lower leg model was mirrored and three anatomical segments were defined (Fig.…”

Section: Definition Of Tibia and Fibula Segments For Contralateral Registrationmentioning

confidence: 99%

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Accuracy of joint line restoration based on three-dimensional registration of the contralateral tibial tuberosity and the fibular tip

et al. 2021

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Purpose To assess a novel method of three-dimensional (3D) joint line (JL) restoration based on the contralateral tibia and fibula. Methods 3D triangular surface models were generated from computed tomographic data of 96 paired lower legs (48 cadavers) without signs of pathology. Three segments of the tibia and fibula, excluding the tibia plateau, were defined (tibia, fibula, tibial tuberosity (TT) and fibular tip). A surface registration algorithm was used to superimpose the mirrored contralateral model onto the original model. JL approximation and absolute mean errors for each segment registration were measured and its relationship to gender, height, weight and tibia and fibula length side-to-side differences analyzed. Fibular tip to JL distance was measured and analyzed. Results Mean JL approximation did not yield significant differences among the three segments. Mean absolute JL error was highest for the tibia 1.4 ± 1.4 mm (range: 0 to 6.0 mm) and decreased for the fibula 0.8 ± 1.0 mm (range: 0 to 3.7 mm) and for TT and fibular tip segment 0.7 ± 0.6 (range: 0 to 2.4 mm) (p = 0.03). Mean absolute JL error of the TT and fibular tip segment was independent of gender, height, weight and tibia and fibula length side-to-side differences. Mean fibular tip to JL distance was 11.9 ± 3.4 mm (range: 3.4 to 22.1 mm) with a mean absolute side-to-side difference of 1.6 ± 1.1 mm (range: 0 to 5.3 mm). Conclusion 3D registration of the contralateral tibia and fibula reliably approximated the original JL. The registration of, TT and fibular tip, as robust anatomical landmarks, improved the accuracy of JL restoration independent of tibia and fibula length side-to-side differences. Level of evidence IV

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Section: Discussionsupporting

confidence: 87%

Section: Specimens and 3d Registration Algorithmmentioning

confidence: 99%

Section: Definition Of Tibia and Fibula Segments For Contralateral Registrationmentioning

confidence: 99%

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Accuracy of joint line restoration based on three-dimensional registration of the contralateral tibial tuberosity and the fibular tip

et al. 2021

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“…The bone models were imported into the surgical planning software CASPA (Balgrist CARD AG), developed in-house. To approximate the original distal fibula from the mirrored contralateral side, an iterative point proximity (ICP) algorithm [ 18 , 19 ] was used to superimpose the mirrored contralateral model on the original model as described in previous studies [ 13 , 17 ]. A 3D coordinate system was defined according to Wu et al [ 20 ]; y-axis same direction vector as the anatomical tibial axis defined by an oriented bounding box (OBB) [ 21 ], z-axis: lateral, x-axis: anterior (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Anatomical differences between the two sides and patient-specific demographic characteristics were examined with respect to fibula restoration accuracy. We hypothesized that by using distinct anatomical landmarks [ 16 , 17 ], the distal fibula could be restored more accurately.…”

Section: Introductionmentioning

confidence: 99%

Restoration of the patient-specific anatomy of the distal fibula based on a novel three-dimensional contralateral registration method

et al. 2022

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Purpose Posttraumatic fibular malunion alters ankle joint biomechanics and may lead to pain, stiffness, and premature osteoarthritis. The accurate restoration is key for success of reconstructive surgeries. The aim of this study was to analyze the accuracy of a novel three-dimensional (3D) registration algorithm using different segments of the contralateral anatomy to restore the distal fibula. Methods Triangular 3D surface models were reconstructed from computed tomographic data of 96 paired lower legs. Four segments were defined: 25% tibia, 50% tibia, 75% fibula, and 75% fibula and tibia. A surface registration algorithm was used to superimpose the mirrored contralateral model on the original model. The accuracy of distal fibula restoration was measured. Results The median rotation error, 3D distance (Euclidean distance), and 3D angle (Euler’s angle) using the distal 25% tibia segment for the registration were 0.8° (− 1.7–4.8), 2.1 mm (1.4–2.9), and 2.9° (1.9–5.4), respectively. The restoration showed the highest errors using the 75% fibula segment (rotation error 3.2° (0.1–8.3); Euclidean distance 4.2 mm (3.1–5.8); Euler’s angle 5.8° (3.4–9.2)). The translation error did not differ significantly between segments. Conclusion 3D registration of the contralateral tibia and fibula reliably approximated the premorbid anatomy of the distal fibula. Registration of the 25% distal tibia, including distinct anatomical landmarks of the fibular notch and malleolar colliculi, restored the anatomy with increasing accuracy, minimizing both rotational and translational errors. This new method of evaluating malreductions could reduce morbidity in patients with ankle fractures. Level of evidence IV

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A surface registration‐based approach for assessment of 3D angles in guided growth interventions in the growing femur

Gholinezhad,

Rasmussen,

Halloum

et al. 2024

J. exp. orthop.

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PurposePostoperative assessment of surgical interventions for correcting femoral rotational deformities necessitates a comparative analysis of femoral rotation pre‐ and post‐surgery. While 2D assessment methods are commonly employed, ongoing debate surrounds their accuracy and reliability. To address the limitations associated with 2D analysis, we introduced and validated a 3D model‐based analysis method for quantifying the angular and rotational impact of corrective rotational osteotomy in the growing femur.MethodsThe method is based on surface registration of the pre‐ and post‐intervention 3D femoral models. To this end, 3D triangulated surface models were generated using CT images for the right femurs of 11 skeletally immature pigs, each scanned at two distinct time points with a 12‐week interval between scans. In our validation procedures, femoral corrective rotational osteotomy of the post‐12‐week femur was simulated at varying angles of 5, 10, 15 and 20 degrees in three dimensions. Subsequently, a surface 3D/3D registration‐based approach was applied to determine the 3D femoral angulation and rotation between the two models to assess the method's detection accuracy of the predefined twist angles as ground truth references.ResultsThe results document the precision and accuracy of the registration‐based method in evaluating rotation angles. Consistently high accuracy was observed across all angles, with an accuracy rate of 92.97% and a coefficient of variance of 8.14%.ConclusionThis study has showcased the potential for improving post‐operative assessments with significant implications for experimental studies evaluating the effects of correcting rotational deformities in the growing femur.Level of EvidenceNot applicable.

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A Novel Method for the Approximation of Humeral Head Retrotorsion Based on Three-Dimensional Registration of the Bicipital Groove

Abstract: The accurate approximation of the premorbid anatomy is a key for the successful restoration of the premorbid anatomy of the proximal part of the humerus.

Cited by 11 publications

References 28 publications

Accuracy of joint line restoration based on three-dimensional registration of the contralateral tibial tuberosity and the fibular tip

Accuracy of joint line restoration based on three-dimensional registration of the contralateral tibial tuberosity and the fibular tip

Restoration of the patient-specific anatomy of the distal fibula based on a novel three-dimensional contralateral registration method

A surface registration‐based approach for assessment of 3D angles in guided growth interventions in the growing femur

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