Statistical shape models of cuboid, navicular and talus bones

Melińska, Aleksandra; Romaszkiewicz, Patryk; Wagel, Justyna; Antosik, Bartlomiej; Sąsiadek, Marek; Iskander, D. Robert

doi:10.1186/s13047-016-0178-x

Cited by 21 publications

(31 citation statements)

References 74 publications

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“…To overcome the above issues, SSM has been proposed as a promising way to describe shapes with geometric similarities, so it is appropriate for bones like the talus (Sarkalkan et al, 2014 ; Ambellan et al, 2019 ). Melinska et al ( 2017 ) developed SSMs of the cuboid, navicular, and talus bones using the spherical harmonics based on 30 subjects and showed the clinical potential of SSM in representing tarsal bones. Feng et al ( 2018 ) compared the talus bones in clubfeet and in normal feet through two methods: direct measurement and SSM; both approaches revealed differences between normal feet and clubfeet.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Average Shape and Principal Variations of the Human Talus Bone Using Statistic Shape Model

Liu

Jomha

Adeeb

et al. 2020

Front. Bioeng. Biotechnol.

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Due to the complexity of articular interconnections and tenuous blood supply to the talus, talus fractures are often associated with complications (e.g., avascular necrosis). Currently, surgically fusing the talus to adjacent bones is widely used as treatment to talus fractures, but this procedure can greatly reduce mobility in the ankle and hindfoot. Alternatively, customized talus implants have shown an overall satisfactory patient feedback but with the limitation of high expenses and time-consuming manufacturing process. In order to circumvent these disadvantages, universal talus implants have been proposed as a potential solution. In our study, we aimed to develop a methodology using Statistical Shape Model (SSM) to simulate the talus, and then evaluate the feasibility of the model to obtain the mean shape needed for universal implant design. In order to achieve this, we registered 98 tali (41 females and 57 males) and used the registered dataset to train our SSM. We used the mean shape derived from the SSM as the basis for our talus implant template, and compared our template with that of previous works. We found that our SSM mean shape talus implant was geometrically similar to implants from other works, which used a different method for the mean shape. This suggests the feasibility of SSM as a method of finding mean shape information for the development of universal implants. A second aim of our study was to investigate if one scalable talus implant can accommodate all patients. In our study, we focused on addressing this from a geometric perspective as there are multiple factors impacting this (e.g., articular surface contact characteristics, implant material properties). Our initial findings are that the first two principal components should be afforded consideration for the geometrical accuracy of talus implant design. Additional factors would need to be further evaluated for their role in informing universal talus implant design.

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Section: Introductionmentioning

confidence: 99%

Investigation of the Average Shape and Principal Variations of the Human Talus Bone Using Statistic Shape Model

Liu

Jomha

Adeeb

et al. 2020

Front. Bioeng. Biotechnol.

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“…SSMs are a powerful tool used in the analysis of regional anatomical variability of a structure [38, 41]. SSMs have previously been employed in skeletal [37–42], vascular [44–47], and neurological research [43]. Moreover, recent studies have indicated that SSMs can be a useful tool in pre-operative planning, specifically in bony reconstructions such as in craniomaxillofacial surgeries [55, 56].…”

Section: Discussionmentioning

confidence: 99%

“…A SSM is calculated from a database of samples to form a model with a mean shape and several modes of variation [37]. Previous studies have utilized SSMs to study the variability of bony structures [37–42], neurological structures [43], and blood vessels [44–47], however to our knowledge, SSMs have not yet been employed to study SS anatomy.…”

Section: Introductionmentioning

confidence: 99%

Morphological analysis of sigmoid sinus anatomy: Clinical applications to neurotological surgery

Osch

Allen

Gare

et al. 2019

Journal of Otolaryngology - Head & Neck Surgery

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ObjectivesThe primary objective of this study was to use high-resolution micro-CT images to create accurate three-dimensional (3D) models of several intratemporal structures, and to compare several surgically important dimensions within the temporal bone. The secondary objective was to create a statistical shape model (SSM) of a dominant and non-dominant sigmoid sinus (SS) to provide a template for automated segmentation algorithms.MethodsA free image processing software, 3D Slicer, was utilized to create three-dimensional reconstructions of the SS, jugular bulb (JB), facial nerve (FN), and external auditory canal (EAC) from micro-CT scans. The models were used to compare several clinically important dimensions between the dominant and non-dominant SS. Anatomic variability of the SS was also analyzed using SSMs generated using the Statismo software framework.ResultsThree-dimensional models from 38 temporal bones were generated and analyzed. Right dominance was observed in 74% of the paired SSs. All distances were significantly shorter on the dominant side (p < 0.05), including: EAC – SS (dominant: 13.7 ± 3.4 mm; non-dominant: 15.3 ± 2.7 mm), FN – SS (dominant: 7.2 ± 1.8 mm; non-dominant: 8.1 ± 2.3 mm), 2nd genu FN – superior tip of JB (dominant: 8.7 ± 2.2 mm; non-dominant: 11.2 ± 2.6 mm), horizontal distance between the superior tip of JB – descending FN (dominant: 9.5 ± 2.3 mm; non-dominant: 13.2 ± 3.5 mm), and horizontal distance between the FN at the stylomastoid foramen – JB (dominant: 5.4 ± 2.2 mm; non-dominant: 7.7 ± 2.1). Analysis of the SSMs indicated that SS morphology is most variable at its junction with the transverse sinus, and least variable at the JB.ConclusionsThis is the first known study to investigate the anatomical variation and relationships of the SS using high resolution scans, 3D models and statistical shape analysis. This analysis seeks to guide neurotological surgical approaches and provide a template for automated segmentation and surgical simulation.

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“…16 Limited studies have conducted SSM in bones of the foot and ankle. [17][18][19] Moreover, studies to date lacked clinical or anatomical interpretation of the mathematical modes of variation and did not consider joint coverage, space, or congruency. An SSM-based approach to characterizing subtalar joint morphometrics could lead to greater insight and advancements in the clinical treatment of hindfoot disorders (eg, ankle joint OA and flatfoot deformity).…”

Section: Introductionmentioning

confidence: 99%

Morphologic analysis of the subtalar joint using statistical shape modeling

Krähenbühl

Lenz

Lisonbee

et al. 2020

Journal Orthopaedic Research

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Weightbearing computed tomography (WBCT) enables visualization of the foot and ankle as patients stand under load. Clinical measurements of WBCT images are generally limited to two‐dimensions, which reduces the ability to quantify complex morphology of individual osseous structures as well as the alignment between two or more bones. The shape and orientation of the healthy/normal subtalar joint, in particular, is not well‐understood, which makes it very difficult to diagnose subtalar pathoanatomy. Herein, we employed statistical shape modeling to evaluate three‐dimensional (3D) shape variation, coverage, space, and congruency of the subtalar joint using WBCT data of 27 asymptomatic healthy individuals. The four most relevant findings were: (A) talar and calcaneal anatomical differences were found regarding the presence of (a) the talar posterior process, (b) calcaneal pitch, and (c) curvature of the calcaneal posterior facet; (B) the talar posterior facet articular surface area was significantly greater than the calcaneal posterior facet articular surface area; (C) the posterior facet varied in joint space distance, whereas the anteromedial facet was even; and (D) the posterior and anteromedial facet of the subtalar joint was consistently congruent. Despite considerable shape variation across the population, the posterior and anteromedial articular facets of the subtalar joint were consistently congruent. Results provide a detailed 3D analysis of the subtalar joint under a weightbearing condition in a healthy population which can be used for comparisons to pathological patient populations. The described SSM approach also shows promise for clinical evaluation of the subtalar joint from 3D surface reconstructions of WBCT images.

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Statistical shape models of cuboid, navicular and talus bones

Cited by 21 publications

References 74 publications

Investigation of the Average Shape and Principal Variations of the Human Talus Bone Using Statistic Shape Model

Investigation of the Average Shape and Principal Variations of the Human Talus Bone Using Statistic Shape Model

Morphological analysis of sigmoid sinus anatomy: Clinical applications to neurotological surgery

Morphologic analysis of the subtalar joint using statistical shape modeling

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