Design Model Development and Analysis

Ahmadian, Amir Sharif

doi:10.1016/b978-0-12-802413-3.00008-0

Cited by 1 publication

(6 citation statements)

References 9 publications

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“…11,18,22,36 Our SSM-based first variation mode confirms uniform scapula scaling observed in prior studies. 11,18,22,36 However, the second and third modes showed variabilities that appear to be specifically associated with B glenoid pathologies. In these two SSM modes, increasing the size of posterior-inferior glenoid erosion in association with posterior rotation of the coracoacromial complex (the second mode) and variability in the orientation of the glenoid (increasing glenoid inferior inclination and decrease of glenoid retroversion) in association with a steeper acromion slope (the third mode) were identified.…”

Section: Anatomical Measurements Meansupporting

confidence: 86%

“…Finally, the low compactness of the resulting SDM, already observed in previous studies, can be related to the high 3D BMDD variability across specimens different imaging protocols, the lack of a calibration phantom, or difficulties related to the interior elements registrations in the volumetric mesh morphing due to the absence of unique features to drive the mesh morphing. 18,36 However, the developed SDM has a comparable compactness with other studies and effectively identifies the main pattern of variations.…”

Section: Anatomical Measurements Meanmentioning

confidence: 87%

“…The relatively high compactness of the SSM as well as the lower compactness of the SDMs are in agreement with the previous literature. 11,18,36 We evaluated the accuracy of the SSM and SDM in reconstructing the left-out subject by measuring RMSE, which were in line with previous studies, albeit they were typically performed on an assumed less-challenging population of healthy scapula. 11,18,22,36 Our SSM-based first variation mode confirms uniform scapula scaling observed in prior studies.…”

Section: Anatomical Measurements Meanmentioning

confidence: 94%

“…11,18,36 We evaluated the accuracy of the SSM and SDM in reconstructing the left-out subject by measuring RMSE, which were in line with previous studies, albeit they were typically performed on an assumed less-challenging population of healthy scapula. 11,18,22,36 Our SSM-based first variation mode confirms uniform scapula scaling observed in prior studies. 11,18,22,36 However, the second and third modes showed variabilities that appear to be specifically associated with B glenoid pathologies.…”

Section: Anatomical Measurements Meanmentioning

confidence: 94%

“…The first limitation pertains to the size and distribution of B glenoid subtypes. While the training set of 62 subjects was in the range of previous scapula studies (53-75 subjects11,18,36 ), it may not be fully representative of the entire population. Nonetheless, we are of the opinion that expanding the study population improves the chances of identifying new variations and covariation patterns without limiting the patterns already found in this study.…”

mentioning

confidence: 99%

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Covariations between scapular shape and bone density in B‐glenoids: A statistical shape and density modeling‐approach

Daneshvarhashjin,

Debeer,

Innocenti

et al. 2023

Journal Orthopaedic Research

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B‐type glenoids are characterized by posterior humeral head migration and/or bony‐erosion‐induced glenoid retroversion. Patients with this type of osteoarthritic glenoids are known to be at increased risk of glenoid component loosening after anatomic total shoulder arthroplasty (aTSA). One of the main challenges in B glenoid surgical planning is to find a balance between correcting the bony shape and maintaining the quality of the bone support. This study aims to systematically quantify variabilities in terms of scapular morphology and bone mineral density in patients with B glenoids and to identify patterns of covariation between these two features. Using computed tomography scan images of 62 patients, three‐dimensional scapular surface models were constructed. Rigid and nonrigid surface registration of the scapular surfaces, followed by volumetric registration and material mapping, enabled us to develop statistical shape model (SSM) and statistical density model (SDM). Partial least square correlation (PLSC) was used to identify patterns of covariation. The developed SSM and SDM represented 85.9% and 56.6% of variabilities in terms of scapular morphology and bone density, respectively. PLSC identified four modes of covariation, explaining 66.0% of the correlation between these two variations. Covariation of posterior–inferior glenoid erosion with posterior sclerotic bone formation in association with reduction of bone density in the anterior and central part of the glenoid was detected as the primary mode of covariation. Identification of these asymmetrical distribution of bone density can inform us about possible reasons behind glenoid component loosening in B glenoids and surgical guidelines in terms of the compromise between bony shape correction and bone support quality.

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