Statistical Shape and Appearance Models: Development Towards Improved Osteoporosis Care

Grassi, Lorenzo; Väänänen, Sami P.; Isaksson, Hanna

doi:10.1007/s11914-021-00711-w

Cited by 6 publications

(6 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A subtle tool for quantifying the total morphology of bones is the use of SSM, a technique that facilitates grouping and characterizing coincident shape variants into discrete components to abstract the variation into a set of discrete categories [15][16][17]. There have been a wide range of applications of bony surface SSMs in the research elds of biomechanics and clinical medicine [16][17][18][19]. SSMs have been used to demonstrate that they can quantify the bone loss that occur at the acetabular.…”

Section: Discussionmentioning

confidence: 99%

A novel therapy-oriented acetabular defects classification based on quantitative assessment statistical shape models

Wang,

Guo,

et al. 2023

Preprint

View full text Add to dashboard Cite

Background: The purposes of this study was to develop a novel therapy‑oriented acetabular bone defects classification system based on Statistical shape models (SSMs) and evaluate the reliability and reproducibility of its application. Methods: We retrospectively reviewed and annotated pelvic Computed tomography (CT) of patients who had undergone revision total hip arthroplasty at our institution and constructed a dataset to develop the novel method for quantitatively describing acetabular bone defects that is based on SSMs. Then, using this method, classification systems are suggestive for diagnosis and corresponding treatment suggestion. In addition, the interobserver and intraobserver reliability of this classification system compared to the Paprosky classification system was calculated. Results: The novel classification based on SSMs was successfully applied to 106 hips, Incidences of type A, B, C, D and E were 25.5%, 41.5%, 13.2%, 14.2% and 5.7%, respectively. Compared to the Paprosky classification, the novel classification system demonstrated a higher level of interobserver and intraobserver reliability for diagnosis (0.828 and 0.844) and treatment suggestions (0.828 and 0.844). Conclusion: This classification system, which has demonstrated moderate to strong interobserver and intraobserver reliability, may be particularly useful to accurately evaluate acetabular defects and suggest surgical strategies, as a complement to the traditional Paprosky classification system in revision THA.

show abstract

Section: Discussionmentioning

confidence: 99%

A novel therapy-oriented acetabular defects classification based on quantitative assessment statistical shape models

Wang,

Guo,

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…To evaluate the compactness of both models, the cumulative percentages of the explained variability by all significant modes were calculated. 18,27 Furthermore, the root means square generalization error (RMSE) of SSM and SDM for each specimen was calculated using leave-one-out evaluation. 11,27 The average RMSE was then calculated across all subjects.…”

Section: Evaluation Of the Modelsmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

“…( 42 ) However, it remains to be shown if these frameworks based on SSAMs can improve the accuracy of fracture risk prediction in clinical cohorts. ( 38 )…”

Section: Introductionmentioning

confidence: 99%

“…(37) More recent implementations of 2D-to-3D reconstruction algorithms for human femurs adopt statistical shape and appearance models (SSAMs) to obtain more accurate reconstructions of the 3D anatomy by being able to describe the anatomical variability in a population. (38)(39)(40) A 2D-to-3D SSAM-based reconstruction algorithm was proposed and validated for accurate anatomical reconstruction by our group, (40) and FE models built from these 3D reconstructions recently reported high accuracy in predicting proximal femoral strength ex vivo both in quasi-static (41) and dynamic conditions. (42) However, it remains to be shown if these frameworks based on SSAMs can improve the accuracy of fracture risk prediction in clinical cohorts.…”

Section: Introductionmentioning

confidence: 99%

“…(42) However, it remains to be shown if these frameworks based on SSAMs can improve the accuracy of fracture risk prediction in clinical cohorts. (38) The aim of this study was to examine whether FE-predicted proximal femoral strength obtained from 2D DXA images could predict the risk of incident hip fracture better than aBMD. We used our SSAM-based 2D-to-3D reconstruction algorithm (40) in combination with our subject-specific FE modeling pipeline (41,42) in a clinical cohort of men (Osteoporotic Fractures in Men [MrOS] Sweden).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

3D Finite Element Models Reconstructed From 2D Dual‐Energy X‐Ray Absorptiometry (DXA) Images Improve Hip Fracture Prediction Compared to Areal BMD in Osteoporotic Fractures in Men (MrOS) Sweden Cohort

Grassi

Väänänen

Jehpsson

et al. 2023

J of Bone & Mineral Res

Self Cite

View full text Add to dashboard Cite

Bone strength is an important contributor to fracture risk. Areal bone mineral density (aBMD) derived from dual‐energy X‐ray absorptiometry (DXA) is used as a surrogate for bone strength in fracture risk prediction tools. 3D finite element (FE) models predict bone strength better than aBMD, but their clinical use is limited by the need for 3D computed tomography and lack of automation. We have earlier developed a method to reconstruct the 3D hip anatomy from a 2D DXA image, followed by subject‐specific FE‐based prediction of proximal femoral strength. In the current study, we aim to evaluate the method's ability to predict incident hip fractures in a population‐based cohort (Osteoporotic Fractures in Men [MrOS] Sweden). We defined two subcohorts: (i) hip fracture cases and controls cohort: 120 men with a hip fracture (<10 years from baseline) and two controls to each hip fracture case, matched by age, height, and body mass index; and (ii) fallers cohort: 86 men who had fallen the year before their hip DXA scan was acquired, 15 of which sustained a hip fracture during the following 10 years. For each participant, we reconstructed the 3D hip anatomy and predicted proximal femoral strength in 10 sideways fall configurations using FE analysis. The FE‐predicted proximal femoral strength was a better predictor of incident hip fractures than aBMD for both hip fracture cases and controls (difference in area under the receiver operating characteristics curve, ΔAUROC = 0.06) and fallers (ΔAUROC = 0.22) cohorts. This is the first time that FE models outperformed aBMD in predicting incident hip fractures in a population‐based prospectively followed cohort based on 3D FE models obtained from a 2D DXA scan. Our approach has potential to notably improve the accuracy of fracture risk predictions in a clinically feasible manner (only one single DXA image is needed) and without additional costs compared to the current clinical approach. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

show abstract

Statistical Shape and Appearance Models: Development Towards Improved Osteoporosis Care

Cited by 6 publications

References 67 publications

A novel therapy-oriented acetabular defects classification based on quantitative assessment statistical shape models

A novel therapy-oriented acetabular defects classification based on quantitative assessment statistical shape models

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

3D Finite Element Models Reconstructed From 2D Dual‐Energy X‐Ray Absorptiometry (DXA) Images Improve Hip Fracture Prediction Compared to Areal BMD in Osteoporotic Fractures in Men (MrOS) Sweden Cohort

Contact Info

Product

Resources

About